From 588762a8e171051d7e4d4880b67d1420f74369aa Mon Sep 17 00:00:00 2001 From: jason-zl190 Date: Sat, 18 Jul 2026 23:04:16 +0800 Subject: [PATCH 1/7] feat(plotly): add Plotly backend with the four acceptance templates MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Add a fourth rendering backend per docs/adding-a-backend.md: an assemblePlotly orchestrator reusing the shared core pipeline (Phase 0 semantics / Phase 1 layout), diverging only at Phase 2 to emit Plotly figures ({ data: traces[], layout }). Figures are pure JSON — temporal axes use Plotly's native date axis instead of tick callbacks, so compiled specs survive serialization. First-merge scope (§6 acceptance): Bar, Line, Area, Scatter templates mirroring the Chart.js templates' decisions (category order, zero baseline, color grouping, horizontal bar transposition, interpolate / opacity / stackMode / showPoints properties). column/row facet encodings are dropped with an 'unsupported-channel' warning; subplot grids are a follow-up. Wiring per §4: barrel export, tsup entry, ./plotly subpath export, plotly.js as an optional peerDependency (mirrors chart.js), smoke test, and tests/plotly-backend.test.ts (10 cases incl. a recursive no-functions JSON-purity check). Co-Authored-By: Claude Fable 5 --- packages/flint-js/package.json | 9 + packages/flint-js/src/index.ts | 2 + packages/flint-js/src/plotly/assemble.ts | 253 ++++++++++++++++++ packages/flint-js/src/plotly/index.ts | 34 +++ .../flint-js/src/plotly/instantiate-spec.ts | 124 +++++++++ .../flint-js/src/plotly/templates/area.ts | 140 ++++++++++ packages/flint-js/src/plotly/templates/bar.ts | 80 ++++++ .../flint-js/src/plotly/templates/index.ts | 46 ++++ .../flint-js/src/plotly/templates/line.ts | 142 ++++++++++ .../flint-js/src/plotly/templates/scatter.ts | 99 +++++++ .../flint-js/src/plotly/templates/utils.ts | 138 ++++++++++ .../flint-js/tests/plotly-backend.test.ts | 133 +++++++++ packages/flint-js/tests/smoke.test.ts | 8 + packages/flint-js/tsup.config.ts | 3 +- 14 files changed, 1210 insertions(+), 1 deletion(-) create mode 100644 packages/flint-js/src/plotly/assemble.ts create mode 100644 packages/flint-js/src/plotly/index.ts create mode 100644 packages/flint-js/src/plotly/instantiate-spec.ts create mode 100644 packages/flint-js/src/plotly/templates/area.ts create mode 100644 packages/flint-js/src/plotly/templates/bar.ts create mode 100644 packages/flint-js/src/plotly/templates/index.ts create mode 100644 packages/flint-js/src/plotly/templates/line.ts create mode 100644 packages/flint-js/src/plotly/templates/scatter.ts create mode 100644 packages/flint-js/src/plotly/templates/utils.ts create mode 100644 packages/flint-js/tests/plotly-backend.test.ts diff --git a/packages/flint-js/package.json b/packages/flint-js/package.json index f78d096b..64482690 100644 --- a/packages/flint-js/package.json +++ b/packages/flint-js/package.json @@ -50,6 +50,11 @@ "import": "./dist/echarts/index.js", "require": "./dist/echarts/index.cjs" }, + "./plotly": { + "types": "./dist/plotly/index.d.ts", + "import": "./dist/plotly/index.js", + "require": "./dist/plotly/index.cjs" + }, "./chartjs": { "types": "./dist/chartjs/index.d.ts", "import": "./dist/chartjs/index.js", @@ -87,6 +92,7 @@ }, "peerDependencies": { "chart.js": "^4.0.0", + "plotly.js": "^2.0.0 || ^3.0.0", "echarts": "^5.0.0 || ^6.0.0", "vega": "^5.0.0 || ^6.0.0", "vega-lite": "^5.0.0 || ^6.0.0" @@ -103,6 +109,9 @@ }, "chart.js": { "optional": true + }, + "plotly.js": { + "optional": true } }, "devDependencies": { diff --git a/packages/flint-js/src/index.ts b/packages/flint-js/src/index.ts index 5f121268..c38e99e9 100644 --- a/packages/flint-js/src/index.ts +++ b/packages/flint-js/src/index.ts @@ -14,6 +14,7 @@ * vegalite/ — Vega-Lite backend: assembly, templates, spec instantiation * echarts/ — ECharts backend: assembly, templates, spec instantiation * chartjs/ — Chart.js backend: assembly, templates, spec instantiation + * plotly/ — Plotly backend: assembly, templates, spec instantiation * * Assembly functions: * assembleVegaLite(input) — Vega-Lite spec @@ -52,3 +53,4 @@ export * from './echarts'; // Chart.js backend: assembleChartjs, templates, spec instantiation export * from './chartjs'; +export * from './plotly'; diff --git a/packages/flint-js/src/plotly/assemble.ts b/packages/flint-js/src/plotly/assemble.ts new file mode 100644 index 00000000..2cb94dc3 --- /dev/null +++ b/packages/flint-js/src/plotly/assemble.ts @@ -0,0 +1,253 @@ +// Copyright (c) Microsoft Corporation. +// Licensed under the MIT License. + +/** + * Plotly chart assembly — Two-Stage Pipeline Coordinator. + * + * Reuses the **same core analysis pipeline** as the other backends: + * Phase 0: resolveChannelSemantics → ChannelSemantics + * Step 0a: declareLayoutMode → LayoutDeclaration + * Step 0b: convertTemporalData → converted data + * Step 0c: filterOverflow → filtered data, nominalCounts + * Phase 1: computeLayout → LayoutResult + * + * Then diverges for Phase 2 (Plotly-specific): + * template.instantiate → builds the Plotly figure structure + * plApplyLayoutToSpec → applies layout decisions to the figure + * + * Key structural difference from the other backends' output: + * PL: { data: [{ type, x, y, … }], layout: { xaxis, yaxis, … } } + * Figures are pure JSON — no callback functions anywhere — so compiled + * specs survive serialization across process boundaries. + * + * First-merge scope: no `column` / `row` facet support; encodings on + * unsupported channels are dropped with a warning (follow-up: subplot grids). + * + * This module has NO React, Redux, or UI framework dependencies. + */ + +import { + ChartEncoding, + ChartTemplateDef, + ChartAssemblyInput, + AssembleOptions, + LayoutDeclaration, + InstantiateContext, +} from '../core/types'; +import type { ChartWarning } from '../core/types'; +import { applyEncodingOverrides } from '../core/encoding-overrides'; +import { applyAggregation } from '../core/aggregate'; +import { plGetTemplateDef } from './templates'; +import { resolveChannelSemantics, convertTemporalData } from '../core/resolve-semantics'; +import { computeZeroDecision } from '../core/semantic-types'; +import { filterOverflow } from '../core/filter-overflow'; +import { computeLayout, computeChannelBudgets, deriveStretchCaps, resolveBaseSize } from '../core/compute-layout'; +import { decideColorMaps } from '../core/color-decisions'; +import { plApplyLayoutToSpec, plApplyTooltips } from './instantiate-spec'; +import { normalizeStaticSeries } from '../core/static-series'; +import { normalizeChartProperties } from '../core/normalize-properties'; + +// --------------------------------------------------------------------------- +// Public API +// --------------------------------------------------------------------------- +/** + * Assemble a Plotly figure object (`{ data, layout }`). + * + * ```ts + * const figure = assemblePlotly({ + * data: { values: myRows }, + * semantic_types: { weight: 'Quantity' }, + * chart_spec: { chartType: 'Bar Chart', encodings: { x: { field: 'category' }, y: { field: 'value' } } }, + * }); + * ``` + * + * @returns A Plotly figure with optional `_warnings` and `_width`/`_height` hints + */ +export function assemblePlotly(input: ChartAssemblyInput): any { + const chartType = input.chart_spec.chartType; + const semanticTypes = input.semantic_types ?? {}; + const sizeCeiling = input.chart_spec.canvasSize; + const baseSize = resolveBaseSize(input.chart_spec.baseSize, sizeCeiling); + const canvasSize = baseSize; + const options = input.options ?? {}; + const chartTemplate = plGetTemplateDef(chartType) as ChartTemplateDef; + if (!chartTemplate) { + throw new Error(`Unknown Plotly chart type: ${chartType}. Use plAllTemplateDefs to see available types.`); + } + + const warnings: ChartWarning[] = []; + + const normalizedProps = normalizeChartProperties( + chartTemplate.properties, input.chart_spec.chartProperties, + ); + const chartProperties = normalizedProps.chartProperties; + warnings.push(...normalizedProps.warnings); + + // ═══════════════════════════════════════════════════════════════════════ + // PRE-PHASE: Static Series Normalization + // ═══════════════════════════════════════════════════════════════════════ + const rawData = input.data.values ?? []; + const normalized = normalizeStaticSeries( + input.chart_spec.encodings, rawData, semanticTypes, + ); + let data = normalized.data; + const staticSeries = normalized.staticSeries; + + // First-merge scope: drop encodings on channels this template does not + // declare (notably column/row facets) instead of silently mis-rendering. + const supported: Record = {}; + for (const [ch, enc] of Object.entries(normalized.encodings)) { + if (chartTemplate.channels.includes(ch)) { + supported[ch] = enc; + } else { + warnings.push({ + severity: 'warning', + code: 'unsupported-channel', + message: `Channel "${ch}" is not supported by the Plotly ${chartType} template yet and was ignored.`, + channel: ch, + field: enc.field, + }); + } + } + + const encodings = applyEncodingOverrides(chartTemplate, supported, chartProperties); + + // Optional aggregation transform — see vegalite/assemble for rationale. + data = applyAggregation(encodings, data); + + // ═══════════════════════════════════════════════════════════════════════ + // PHASE 0: Resolve Semantics (shared — completely target-agnostic) + // ═══════════════════════════════════════════════════════════════════════ + + const tplMark = chartTemplate.template?.mark; + const templateMarkType = typeof tplMark === 'string' ? tplMark : tplMark?.type; + + const convertedData = convertTemporalData(data, semanticTypes); + + const channelSemantics = resolveChannelSemantics( + encodings, data, semanticTypes, convertedData, + ); + + // Finalize zero-baseline (requires template mark knowledge) + const effectiveMarkType = templateMarkType || 'point'; + for (const [channel, cs] of Object.entries(channelSemantics)) { + if ((channel === 'x' || channel === 'y') && cs.type === 'quantitative') { + const numericValues = data + .map(r => r[cs.field]) + .filter((v: any) => v != null && typeof v === 'number' && !isNaN(v)); + cs.zero = computeZeroDecision( + cs.semanticAnnotation.semanticType, channel, effectiveMarkType, numericValues, + ); + } + } + + // ═══════════════════════════════════════════════════════════════════════ + // STEP 0a: declareLayoutMode (shared hook) + // ═══════════════════════════════════════════════════════════════════════ + + const declaration: LayoutDeclaration = chartTemplate.declareLayoutMode + ? chartTemplate.declareLayoutMode(channelSemantics, data, chartProperties) + : {}; + + const effectiveOptions: AssembleOptions = { + ...options, + ...(declaration.paramOverrides || {}), + }; + + Object.assign(effectiveOptions, deriveStretchCaps(baseSize, sizeCeiling, effectiveOptions)); + + const { + addTooltips: addTooltipsOpt = false, + } = effectiveOptions; + + // ═══════════════════════════════════════════════════════════════════════ + // STEP 0b: filterOverflow (shared) + // ═══════════════════════════════════════════════════════════════════════ + + const allMarkTypes = new Set(); + if (templateMarkType) allMarkTypes.add(templateMarkType); + + const budgets = computeChannelBudgets( + channelSemantics, declaration, convertedData, canvasSize, effectiveOptions, + ); + const facetGridResult = budgets.facetGrid; + + const overflowResult = filterOverflow( + channelSemantics, declaration, encodings, convertedData, + budgets, allMarkTypes, + ); + + const values = overflowResult.filteredData; + warnings.push(...overflowResult.warnings); + + // ═══════════════════════════════════════════════════════════════════════ + // PHASE 1: Compute Layout (shared — completely target-agnostic) + // ═══════════════════════════════════════════════════════════════════════ + + const layoutResult = computeLayout( + channelSemantics, + declaration, + values, + canvasSize, + effectiveOptions, + facetGridResult, + ); + + layoutResult.truncations = overflowResult.truncations; + + // ═══════════════════════════════════════════════════════════════════════ + // PHASE 2: Instantiate Plotly Figure (PL-specific) + // ═══════════════════════════════════════════════════════════════════════ + + const resolvedEncodings: Record = {}; + for (const [channel, encoding] of Object.entries(encodings)) { + const cs = channelSemantics[channel]; + if (cs) { + resolvedEncodings[channel] = { + field: cs.field, + type: cs.type, + aggregate: encoding.aggregate, + }; + } + } + + const instantiateContext: InstantiateContext = { + channelSemantics, + layout: layoutResult, + table: values, + fullTable: convertedData, + resolvedEncodings, + encodings, + chartProperties, + staticSeries, + canvasSize, + semanticTypes, + chartType, + assembleOptions: effectiveOptions, + colorDecisions: decideColorMaps({ + chartType, + encodings, + channelSemantics, + table: values, + background: 'light', + }), + }; + + const figure: any = structuredClone(chartTemplate.template); + chartTemplate.instantiate(figure, instantiateContext); + plApplyLayoutToSpec(figure, instantiateContext, warnings); + if (addTooltipsOpt) plApplyTooltips(figure); + if (chartTemplate.postProcess) chartTemplate.postProcess(figure, instantiateContext); + + // ═══════════════════════════════════════════════════════════════════════ + // RESULT + // ═══════════════════════════════════════════════════════════════════════ + + if (warnings.length > 0) { + figure._warnings = warnings; + } + + figure._dataLength = values.length; + + return figure; +} diff --git a/packages/flint-js/src/plotly/index.ts b/packages/flint-js/src/plotly/index.ts new file mode 100644 index 00000000..9dd7d029 --- /dev/null +++ b/packages/flint-js/src/plotly/index.ts @@ -0,0 +1,34 @@ +// Copyright (c) Microsoft Corporation. +// Licensed under the MIT License. + +/** + * @module flint-chart/plotly + * + * Plotly backend for flint-chart. + * + * Compiles the core semantic layer into Plotly figure objects. + * Contains PL-specific assembly, spec instantiation, and chart templates. + * + * Architecture contrast with other backends: + * VL: encoding-channel-based — { encoding: { x: { field, type }, y: ... } } + * EC: series-based — { series: [{ type, data }], xAxis, yAxis } + * CJS: dataset-based — { type, data: { labels, datasets[] }, options } + * PL: trace-based — { data: [{ type, x, y }], layout } + * + * Same core pipeline (Phase 0 + Phase 1), different Phase 2 output. + * Figures are pure JSON (no callback functions). + */ + +// PL assembly function +export { assemblePlotly } from './assemble'; + +// PL spec instantiation (Phase 2) +export { plApplyLayoutToSpec, plApplyTooltips } from './instantiate-spec'; + +// PL template registry +export { + plTemplateDefs, + plAllTemplateDefs, + plGetTemplateDef, + plGetTemplateChannels, +} from './templates'; diff --git a/packages/flint-js/src/plotly/instantiate-spec.ts b/packages/flint-js/src/plotly/instantiate-spec.ts new file mode 100644 index 00000000..fe2f0ead --- /dev/null +++ b/packages/flint-js/src/plotly/instantiate-spec.ts @@ -0,0 +1,124 @@ +// Copyright (c) Microsoft Corporation. +// Licensed under the MIT License. + +/** + * ============================================================================= + * PHASE 2: INSTANTIATE SPEC — Plotly backend + * ============================================================================= + * + * Translates semantic decisions (Phase 0) and layout dimensions (Phase 1) + * into Plotly-specific figure properties. + * + * Key differences from the other backends: + * - PL figures are `{ data: traces[], layout }` and stay pure JSON — axis + * tick formatting uses declarative `tickformat`/axis types, never + * callback functions + * - PL sizing via `layout.width` / `layout.height` + * - PL label rotation via `layout.xaxis.tickangle` + * + * PL dependency: **Yes — this is where Plotly-specific syntax lives** + * ============================================================================= + */ + +import type { + InstantiateContext, + ChartWarning, +} from '../core/types'; + +/** + * Phase 2: Apply layout and semantic decisions to the Plotly figure. + * + * Handles common Plotly plumbing across all templates: + * - Figure sizing (_width, _height + layout.width/height) + * - Axis label rotation and font sizing + * - Overflow truncation warnings + */ +export function plApplyLayoutToSpec( + figure: any, + context: InstantiateContext, + warnings: ChartWarning[], +): void { + const { layout, canvasSize } = context; + + if (!figure.layout) figure.layout = {}; + + // ── Figure dimensions ──────────────────────────────────────────────── + if (!figure._width) { + const PADDING = 80; // approximate space for axes, labels + + const xIsDiscrete = layout.xNominalCount > 0 || layout.xContinuousAsDiscrete > 0; + const yIsDiscrete = layout.yNominalCount > 0 || layout.yContinuousAsDiscrete > 0; + + let plotWidth: number; + let plotHeight: number; + + if (xIsDiscrete && layout.xStepUnit !== 'group') { + const xItemCount = layout.xNominalCount || layout.xContinuousAsDiscrete || 0; + plotWidth = xItemCount > 0 ? layout.xStep * xItemCount : (layout.subplotWidth || canvasSize.width); + } else { + plotWidth = layout.subplotWidth || canvasSize.width; + } + + if (yIsDiscrete && layout.yStepUnit !== 'group') { + const yItemCount = layout.yNominalCount || layout.yContinuousAsDiscrete || 0; + plotHeight = yItemCount > 0 ? layout.yStep * yItemCount : (layout.subplotHeight || canvasSize.height); + } else { + plotHeight = layout.subplotHeight || canvasSize.height; + } + + const legendGutter = figure.layout.showlegend ? 96 : 0; + figure._width = plotWidth + PADDING + legendGutter; + figure._height = plotHeight + PADDING; + } + + figure.layout.width = figure._width; + figure.layout.height = figure._height; + figure.layout.margin = figure.layout.margin ?? { t: 24 }; + + // ── X-axis label rotation and font sizing ──────────────────────────── + if (layout.xLabel) { + if (!figure.layout.xaxis) figure.layout.xaxis = {}; + if (layout.xLabel.labelAngle && layout.xLabel.labelAngle !== 0) { + figure.layout.xaxis.tickangle = Math.abs(layout.xLabel.labelAngle); + } + if (layout.xLabel.fontSize) { + figure.layout.xaxis.tickfont = { + ...(figure.layout.xaxis.tickfont || {}), + size: layout.xLabel.fontSize, + }; + } + } + + // ── Y-axis label font sizing ───────────────────────────────────────── + if (layout.yLabel?.fontSize) { + if (!figure.layout.yaxis) figure.layout.yaxis = {}; + figure.layout.yaxis.tickfont = { + ...(figure.layout.yaxis.tickfont || {}), + size: layout.yLabel.fontSize, + }; + } + + // ── Overflow truncation warnings ───────────────────────────────────── + if (layout.truncations && layout.truncations.length > 0) { + for (const trunc of layout.truncations) { + warnings.push({ + severity: 'warning', + code: 'overflow', + message: trunc.message, + channel: trunc.channel, + field: trunc.field, + }); + } + } +} + +/** + * Apply tooltips to a Plotly figure. Plotly hover is on by default; this + * pins an explicit unified hover mode so tooltips read across series. + */ +export function plApplyTooltips(figure: any): void { + if (!figure.layout) figure.layout = {}; + if (figure.layout.hovermode == null) { + figure.layout.hovermode = 'closest'; + } +} diff --git a/packages/flint-js/src/plotly/templates/area.ts b/packages/flint-js/src/plotly/templates/area.ts new file mode 100644 index 00000000..0cc5a64e --- /dev/null +++ b/packages/flint-js/src/plotly/templates/area.ts @@ -0,0 +1,140 @@ +// Copyright (c) Microsoft Corporation. +// Licensed under the MIT License. + +/** + * Plotly Area Chart template (single + multi-series). + * + * Mirrors the Chart.js Area template's decisions. Plotly renders areas as + * scatter traces with `fill`; multi-series stacking uses `stackgroup` + * (the Plotly-native equivalent of Chart.js `fill: 'stack'`). + */ + +import { ChartTemplateDef, ChartPropertyDef } from '../../core/types'; +import { + extractCategories, + groupBy, + buildCategoryAlignedData, + coerceIsoDateForPlotly, + getSeriesColor, +} from './utils'; + +const isDiscrete = (type: string | undefined) => type === 'nominal' || type === 'ordinal'; + +/** Hex → rgba with alpha, for translucent area fills. */ +function fillColor(hex: string, alpha: number): string { + const m = /^#?([0-9a-f]{6})$/i.exec(hex.trim()); + if (!m) return hex; + const v = parseInt(m[1], 16); + const a = Math.max(0, Math.min(1, alpha)); + return `rgba(${(v >> 16) & 255}, ${(v >> 8) & 255}, ${v & 255}, ${a})`; +} + +export const plAreaChartDef: ChartTemplateDef = { + chart: 'Area Chart', + template: { mark: 'area', encoding: {} }, + channels: ['x', 'y', 'color', 'opacity'], + markCognitiveChannel: 'area', + declareLayoutMode: () => ({ + paramOverrides: { continuousMarkCrossSection: { x: 100, y: 20, seriesCountAxis: 'auto' }, facetAspectRatioResistance: 0.5 }, + }), + instantiate: (spec, ctx) => { + const { channelSemantics, table, chartProperties } = ctx; + const xCS = channelSemantics.x; + const yCS = channelSemantics.y; + const colorField = channelSemantics.color?.field; + + if (!xCS?.field || !yCS?.field) return; + const xField = xCS.field; + const yField = yCS.field; + + const xIsDiscrete = isDiscrete(xCS.type); + const xIsTemporal = xCS.type === 'temporal'; + const mapX = (raw: unknown) => (xIsTemporal ? coerceIsoDateForPlotly(raw) : raw); + + const categories = xIsDiscrete + ? extractCategories(table, xField, xCS.ordinalSortOrder) + : undefined; + + const opacity = Number(chartProperties?.opacity ?? 0.4); + const stackMode = chartProperties?.stackMode; + const stacked = stackMode !== 'layered'; + const smooth = chartProperties?.interpolate === 'monotone'; + + const traces: any[] = []; + const makeTrace = (name: string, rows: any[], colorIndex: number) => { + const xVals = xIsDiscrete ? categories! : rows.map(r => mapX(r[xField])); + const yVals = xIsDiscrete + ? buildCategoryAlignedData(rows, xField, yField, categories!) + : rows.map(r => (r[yField] == null ? null : r[yField])); + const color = getSeriesColor(colorIndex); + const trace: any = { + type: 'scatter', + mode: 'lines', + name, + x: xVals, + y: yVals, + line: { color, shape: smooth ? 'spline' : 'linear' }, + fillcolor: fillColor(color, opacity), + }; + if (colorField && stacked) { + trace.stackgroup = 'one'; + } else { + trace.fill = 'tozeroy'; + } + return trace; + }; + + if (colorField) { + let i = 0; + for (const [name, rows] of groupBy(table, colorField)) { + traces.push(makeTrace(name, rows, i)); + i++; + } + } else { + traces.push(makeTrace(yField, table, 0)); + } + + const xAxisSpec: any = { title: { text: xField } }; + if (xIsDiscrete) { + xAxisSpec.type = 'category'; + xAxisSpec.categoryorder = 'array'; + xAxisSpec.categoryarray = categories; + } else if (xIsTemporal) { + xAxisSpec.type = 'date'; + } + + const yAxisSpec: any = { title: { text: yField } }; + if (yCS.zero) { + yAxisSpec.rangemode = yCS.zero.zero !== false ? 'tozero' : 'normal'; + } + + const figure: any = { + data: traces, + layout: { + xaxis: xAxisSpec, + yaxis: yAxisSpec, + showlegend: !!colorField, + }, + }; + + Object.assign(spec, figure); + delete spec.mark; + delete spec.encoding; + }, + properties: [ + { + key: 'interpolate', label: 'Curve', type: 'discrete', options: [ + { value: undefined, label: 'Default (linear)' }, + { value: 'linear', label: 'Linear' }, + { value: 'monotone', label: 'Monotone (smooth)' }, + ], + } as ChartPropertyDef, + { key: 'opacity', label: 'Opacity', type: 'continuous', min: 0.1, max: 1, step: 0.05, defaultValue: 0.4 } as ChartPropertyDef, + { + key: 'stackMode', label: 'Stack', type: 'discrete', options: [ + { value: undefined, label: 'Stacked (default)' }, + { value: 'layered', label: 'Layered (overlap)' }, + ], + } as ChartPropertyDef, + ], +}; diff --git a/packages/flint-js/src/plotly/templates/bar.ts b/packages/flint-js/src/plotly/templates/bar.ts new file mode 100644 index 00000000..7df8000b --- /dev/null +++ b/packages/flint-js/src/plotly/templates/bar.ts @@ -0,0 +1,80 @@ +// Copyright (c) Microsoft Corporation. +// Licensed under the MIT License. + +/** + * Plotly Bar Chart template. + * + * Mirrors the Chart.js Bar template's decisions (category detection, + * ordinal sort order, zero baseline, horizontal transposition), expressed + * as a Plotly `bar` trace: + * CJS: { type: 'bar', data: { labels, datasets[] }, options: { indexAxis } } + * PL: { data: [{ type: 'bar', x, y, orientation }], layout: { xaxis, yaxis } } + */ + +import { ChartTemplateDef, ChartPropertyDef } from '../../core/types'; +import { extractCategories, buildCategoryAlignedData, detectAxes, getSeriesColor } from './utils'; +import { detectBandedAxisFromSemantics } from '../../core/axis-detection'; + +export const plBarChartDef: ChartTemplateDef = { + chart: 'Bar Chart', + template: { mark: 'bar', encoding: {} }, + channels: ['x', 'y', 'color', 'opacity'], + markCognitiveChannel: 'length', + declareLayoutMode: (cs, table) => { + const result = detectBandedAxisFromSemantics(cs, table, { preferAxis: 'x' }); + return { + axisFlags: result ? { [result.axis]: { banded: true } } : { x: { banded: true } }, + resolvedTypes: result?.resolvedTypes, + }; + }, + instantiate: (spec, ctx) => { + const { channelSemantics, table } = ctx; + const { categoryAxis, valueAxis } = detectAxes(channelSemantics); + + const catField = channelSemantics[categoryAxis]?.field; + const valField = channelSemantics[valueAxis]?.field; + if (!catField || !valField) return; + + const catCS = channelSemantics[categoryAxis]; + const categories = extractCategories(table, catField, catCS?.ordinalSortOrder); + const values = buildCategoryAlignedData(table, catField, valField, categories); + + const isHorizontal = categoryAxis === 'y'; + + const catAxisSpec = { + type: 'category' as const, + categoryorder: 'array' as const, + categoryarray: categories, + title: { text: catField }, + }; + const valCS = channelSemantics[valueAxis]; + // Bars encode length — include zero unless the semantic decision says otherwise. + const includeZero = valCS?.zero ? valCS.zero.zero !== false : true; + const valAxisSpec = { + title: { text: valField }, + rangemode: (includeZero ? 'tozero' : 'normal') as 'tozero' | 'normal', + }; + + const figure: any = { + data: [{ + type: 'bar', + name: valField, + ...(isHorizontal + ? { x: values, y: categories, orientation: 'h' } + : { x: categories, y: values }), + marker: { color: getSeriesColor(0) }, + }], + layout: { + ...(isHorizontal + ? { xaxis: valAxisSpec, yaxis: catAxisSpec } + : { xaxis: catAxisSpec, yaxis: valAxisSpec }), + showlegend: false, + }, + }; + + Object.assign(spec, figure); + delete spec.mark; + delete spec.encoding; + }, + properties: [] as ChartPropertyDef[], +}; diff --git a/packages/flint-js/src/plotly/templates/index.ts b/packages/flint-js/src/plotly/templates/index.ts new file mode 100644 index 00000000..af6c2e50 --- /dev/null +++ b/packages/flint-js/src/plotly/templates/index.ts @@ -0,0 +1,46 @@ +// Copyright (c) Microsoft Corporation. +// Licensed under the MIT License. + +/** + * Plotly template registry. + * + * Mirrors the structure of chartjs/templates/index.ts, echarts/templates/index.ts + * and vegalite/templates/index.ts but with Plotly template definitions. + * + * First-merge scope (see docs/adding-a-backend.md §6): the four acceptance + * templates. Further templates are follow-ups. + */ + +import { ChartTemplateDef } from '../../core/types'; +import { plBarChartDef } from './bar'; +import { plLineChartDef } from './line'; +import { plAreaChartDef } from './area'; +import { plScatterPlotDef } from './scatter'; + +/** + * Plotly chart template definitions, grouped by category. + */ +export const plTemplateDefs: { [key: string]: ChartTemplateDef[] } = { + 'Scatter & Point': [plScatterPlotDef], + 'Bar': [plBarChartDef], + 'Line & Area': [plLineChartDef, plAreaChartDef], +}; + +/** + * Flat list of all Plotly chart template definitions. + */ +export const plAllTemplateDefs: ChartTemplateDef[] = Object.values(plTemplateDefs).flat(); + +/** + * Look up a Plotly chart template definition by chart type name. + */ +export function plGetTemplateDef(chartType: string): ChartTemplateDef | undefined { + return plAllTemplateDefs.find(t => t.chart === chartType); +} + +/** + * Get the available channels for a Plotly chart type. + */ +export function plGetTemplateChannels(chartType: string): string[] { + return plGetTemplateDef(chartType)?.channels || []; +} diff --git a/packages/flint-js/src/plotly/templates/line.ts b/packages/flint-js/src/plotly/templates/line.ts new file mode 100644 index 00000000..4485e50d --- /dev/null +++ b/packages/flint-js/src/plotly/templates/line.ts @@ -0,0 +1,142 @@ +// Copyright (c) Microsoft Corporation. +// Licensed under the MIT License. + +/** + * Plotly Line Chart template (single + multi-series). + * + * Mirrors the Chart.js Line template's decisions. Plotly differences: + * - temporal x uses Plotly's native `date` axis (ISO strings), no tick + * callback needed — figures stay pure JSON + * - one trace per series; the legend comes from trace `name`s + */ + +import { ChartTemplateDef, ChartPropertyDef } from '../../core/types'; +import { + extractCategories, + groupBy, + buildCategoryAlignedData, + coerceIsoDateForPlotly, + getSeriesColor, +} from './utils'; + +const isDiscrete = (type: string | undefined) => type === 'nominal' || type === 'ordinal'; + +/** Map the shared `interpolate` property onto Plotly's `line.shape`. */ +function lineShape(interpolate: unknown): 'linear' | 'spline' | 'hv' | 'vh' | 'hvh' { + switch (interpolate) { + case 'monotone': + case 'basis': + case 'cardinal': + case 'catmull-rom': + return 'spline'; + case 'step': + return 'hvh'; + case 'step-before': + return 'vh'; + case 'step-after': + return 'hv'; + default: + return 'linear'; + } +} + +export const plLineChartDef: ChartTemplateDef = { + chart: 'Line Chart', + template: { mark: 'line', encoding: {} }, + channels: ['x', 'y', 'color', 'opacity'], + markCognitiveChannel: 'position', + declareLayoutMode: () => ({ + paramOverrides: { continuousMarkCrossSection: { x: 100, y: 20, seriesCountAxis: 'auto' }, facetAspectRatioResistance: 0.5 }, + }), + instantiate: (spec, ctx) => { + const { channelSemantics, table, chartProperties } = ctx; + const xCS = channelSemantics.x; + const yCS = channelSemantics.y; + const colorField = channelSemantics.color?.field; + + if (!xCS?.field || !yCS?.field) return; + const xField = xCS.field; + const yField = yCS.field; + + const xIsDiscrete = isDiscrete(xCS.type); + const xIsTemporal = xCS.type === 'temporal'; + + const mapX = (raw: unknown) => (xIsTemporal ? coerceIsoDateForPlotly(raw) : raw); + + const categories = xIsDiscrete + ? extractCategories(table, xField, xCS.ordinalSortOrder) + : undefined; + + const shape = lineShape(chartProperties?.interpolate); + const showPoints = chartProperties?.showPoints === true; + const mode = showPoints ? 'lines+markers' : 'lines'; + + const traces: any[] = []; + const makeTrace = (name: string, rows: any[], colorIndex: number) => { + const xVals = xIsDiscrete + ? categories! + : rows.map(r => mapX(r[xField])); + const yVals = xIsDiscrete + ? buildCategoryAlignedData(rows, xField, yField, categories!) + : rows.map(r => (r[yField] == null ? null : r[yField])); + return { + type: 'scatter', + mode, + name, + x: xVals, + y: yVals, + line: { color: getSeriesColor(colorIndex), shape }, + }; + }; + + if (colorField) { + let i = 0; + for (const [name, rows] of groupBy(table, colorField)) { + traces.push(makeTrace(name, rows, i)); + i++; + } + } else { + traces.push(makeTrace(yField, table, 0)); + } + + const xAxisSpec: any = { title: { text: xField } }; + if (xIsDiscrete) { + xAxisSpec.type = 'category'; + xAxisSpec.categoryorder = 'array'; + xAxisSpec.categoryarray = categories; + } else if (xIsTemporal) { + xAxisSpec.type = 'date'; + } + + const yAxisSpec: any = { title: { text: yField } }; + if (yCS.zero) { + yAxisSpec.rangemode = yCS.zero.zero !== false ? 'tozero' : 'normal'; + } + + const figure: any = { + data: traces, + layout: { + xaxis: xAxisSpec, + yaxis: yAxisSpec, + showlegend: !!colorField, + }, + }; + + Object.assign(spec, figure); + delete spec.mark; + delete spec.encoding; + }, + properties: [ + { + key: 'interpolate', label: 'Curve', type: 'discrete', options: [ + { value: undefined, label: 'Default (linear)' }, + { value: 'linear', label: 'Linear' }, + { value: 'monotone', label: 'Monotone (smooth)' }, + { value: 'step', label: 'Step' }, + { value: 'step-before', label: 'Step Before' }, + { value: 'step-after', label: 'Step After' }, + ], + } as ChartPropertyDef, + { key: 'showPoints', label: 'Show points', type: 'binary', defaultValue: false } as ChartPropertyDef, + ], +}; diff --git a/packages/flint-js/src/plotly/templates/scatter.ts b/packages/flint-js/src/plotly/templates/scatter.ts new file mode 100644 index 00000000..4e1161be --- /dev/null +++ b/packages/flint-js/src/plotly/templates/scatter.ts @@ -0,0 +1,99 @@ +// Copyright (c) Microsoft Corporation. +// Licensed under the MIT License. + +/** + * Plotly Scatter Plot template. + * + * Mirrors the Chart.js Scatter template's decisions (color grouping, zero + * baseline per axis, canvas-aware point radius) as Plotly `scatter` traces + * in `markers` mode. + */ + +import { ChartTemplateDef, ChartPropertyDef } from '../../core/types'; +import { groupBy, getSeriesColor } from './utils'; + +/** Compute a reasonable marker diameter based on canvas area and point count. */ +function computeMarkerSize(width: number, height: number, pointCount: number): number { + const canvasArea = width * height; + const areaPerPoint = canvasArea / Math.max(1, pointCount); + const idealRadius = Math.sqrt(areaPerPoint * 0.05) / 2; + const radius = Math.max(2, Math.min(6, Math.round(idealRadius))); + return radius * 2; +} + +export const plScatterPlotDef: ChartTemplateDef = { + chart: 'Scatter Plot', + template: { mark: 'circle', encoding: {} }, + channels: ['x', 'y', 'color', 'size', 'opacity'], + markCognitiveChannel: 'position', + instantiate: (spec, ctx) => { + const { channelSemantics, table, chartProperties } = ctx; + const xField = channelSemantics.x?.field; + const yField = channelSemantics.y?.field; + const colorField = channelSemantics.color?.field; + + if (!xField || !yField) return; + + const opacity = Number(chartProperties?.opacity ?? 1); + + const traces: any[] = []; + const makeTrace = (name: string | undefined, rows: any[], colorIndex: number) => ({ + type: 'scatter', + mode: 'markers', + ...(name != null ? { name } : {}), + x: rows.map(r => r[xField]), + y: rows.map(r => r[yField]), + marker: { + color: getSeriesColor(colorIndex), + opacity, + line: { color: '#ffffff', width: 0.5 }, + }, + }); + + if (colorField) { + let i = 0; + for (const [name, rows] of groupBy(table, colorField)) { + traces.push(makeTrace(name, rows, i)); + i++; + } + } else { + traces.push(makeTrace(undefined, table, 0)); + } + + const xAxisSpec: any = { title: { text: xField } }; + const yAxisSpec: any = { title: { text: yField } }; + if (channelSemantics.x?.zero) { + xAxisSpec.rangemode = channelSemantics.x.zero.zero !== false ? 'tozero' : 'normal'; + } + if (channelSemantics.y?.zero) { + yAxisSpec.rangemode = channelSemantics.y.zero.zero !== false ? 'tozero' : 'normal'; + } + + const figure: any = { + data: traces, + layout: { + xaxis: xAxisSpec, + yaxis: yAxisSpec, + showlegend: !!colorField, + }, + }; + + Object.assign(spec, figure); + delete spec.mark; + delete spec.encoding; + }, + properties: [ + { key: 'opacity', label: 'Opacity', type: 'continuous', min: 0.1, max: 1, step: 0.05, defaultValue: 1 } as ChartPropertyDef, + ], + postProcess: (figure, ctx) => { + if (!Array.isArray(figure.data)) return; + const w = figure._width || ctx.canvasSize.width; + const h = figure._height || ctx.canvasSize.height; + const size = computeMarkerSize(w, h, ctx.table.length); + for (const trace of figure.data) { + if (trace?.marker && trace.marker.size == null) { + trace.marker.size = size; + } + } + }, +}; diff --git a/packages/flint-js/src/plotly/templates/utils.ts b/packages/flint-js/src/plotly/templates/utils.ts new file mode 100644 index 00000000..160d4824 --- /dev/null +++ b/packages/flint-js/src/plotly/templates/utils.ts @@ -0,0 +1,138 @@ +// Copyright (c) Microsoft Corporation. +// Licensed under the MIT License. + +/** + * Shared helper functions for Plotly template hooks. + * Pure logic — no UI dependencies. + */ + +import type { ChannelSemantics } from '../../core/types'; + +const isDiscrete = (type: string | undefined) => type === 'nominal' || type === 'ordinal'; + +/** + * Extract unique category values from data for a given field, preserving order. + * If `ordinalSortOrder` is provided, returns values sorted in that canonical order. + */ +export function extractCategories(data: any[], field: string, ordinalSortOrder?: string[]): string[] { + const seen = new Set(); + const result: string[] = []; + for (const row of data) { + const val = row[field]; + if (val != null) { + const key = String(val); + if (!seen.has(key)) { + seen.add(key); + result.push(key); + } + } + } + + if (ordinalSortOrder && ordinalSortOrder.length > 0) { + const orderMap = new Map(ordinalSortOrder.map((v, i) => [v, i])); + result.sort((a, b) => { + const ia = orderMap.get(a); + const ib = orderMap.get(b); + if (ia !== undefined && ib !== undefined) return ia - ib; + if (ia !== undefined) return -1; + if (ib !== undefined) return 1; + return 0; + }); + } + + return result; +} + +/** + * Group data by a categorical field. + * Returns a map: seriesName → rows[]. + */ +export function groupBy(data: any[], field: string): Map { + const groups = new Map(); + for (const row of data) { + const key = String(row[field] ?? ''); + if (!groups.has(key)) groups.set(key, []); + groups.get(key)!.push(row); + } + return groups; +} + +/** + * Build category-aligned value array for a subset of rows. + * Returns values indexed by category position (null for missing). + */ +export function buildCategoryAlignedData( + rows: any[], + catField: string, + valField: string, + categories: string[], +): (number | null)[] { + const map = new Map(); + for (const row of rows) { + const key = String(row[catField] ?? ''); + const val = row[valField]; + if (val != null && !isNaN(val)) { + map.set(key, (map.get(key) ?? 0) + Number(val)); + } + } + return categories.map(cat => map.get(cat) ?? null); +} + +/** + * Detect which axis is the category (banded) axis and which is the value axis. + */ +export function detectAxes( + channelSemantics: Record, +): { categoryAxis: 'x' | 'y'; valueAxis: 'x' | 'y' } { + const xCS = channelSemantics.x; + const yCS = channelSemantics.y; + + if (xCS && isDiscrete(xCS.type)) { + return { categoryAxis: 'x', valueAxis: 'y' }; + } + if (yCS && isDiscrete(yCS.type)) { + return { categoryAxis: 'y', valueAxis: 'x' }; + } + return { categoryAxis: 'x', valueAxis: 'y' }; +} + +/** + * Coerce a temporal value to an ISO-8601 string for Plotly's native `date` + * axis. Numbers below 1e12 are treated as Unix seconds; strings and Dates are + * parsed directly. Returns null when unparseable. + */ +export function coerceIsoDateForPlotly(raw: unknown): string | null { + if (raw == null) return null; + let ms: number; + if (typeof raw === 'number' && Number.isFinite(raw)) { + ms = raw < 1e12 ? Math.round(raw * 1000) : raw; + } else if (raw instanceof Date) { + ms = raw.getTime(); + } else { + ms = new Date(String(raw)).getTime(); + } + return Number.isFinite(ms) ? new Date(ms).toISOString() : null; +} + +/** + * Plotly's default qualitative palette (plotly.js `layout.colorway` defaults). + * Kept local to this backend, mirroring how each backend owns its palette. + * Integration with core color-decisions is a follow-up. + */ +export const PLOTLY_COLORS = [ + '#636efa', // blue-violet + '#EF553B', // red-orange + '#00cc96', // green + '#ab63fa', // purple + '#FFA15A', // orange + '#19d3f3', // cyan + '#FF6692', // pink + '#B6E880', // light green + '#FF97FF', // magenta + '#FECB52', // yellow +]; + +/** Series color by index (wraps around the default palette). */ +export function getSeriesColor(index: number): string { + return PLOTLY_COLORS[index % PLOTLY_COLORS.length]; +} diff --git a/packages/flint-js/tests/plotly-backend.test.ts b/packages/flint-js/tests/plotly-backend.test.ts new file mode 100644 index 00000000..bdf64202 --- /dev/null +++ b/packages/flint-js/tests/plotly-backend.test.ts @@ -0,0 +1,133 @@ +// Copyright (c) Microsoft Corporation. +// Licensed under the MIT License. + +import { describe, it, expect } from 'vitest'; +import { assemblePlotly, plGetTemplateDef, plAllTemplateDefs } from '../src'; + +const SALES = [ + { region: 'East', revenue: 168 }, + { region: 'South', revenue: 167 }, + { region: 'North', revenue: 145 }, +]; + +const GROUPED = [ + { region: 'East', revenue: 168, year: '2024' }, + { region: 'South', revenue: 167, year: '2024' }, + { region: 'East', revenue: 120, year: '2025' }, + { region: 'South', revenue: 131, year: '2025' }, +]; + +const CARS = [ + { weight: 1.6, mpg: 32, origin: 'JP' }, + { weight: 2.1, mpg: 27, origin: 'US' }, + { weight: 1.9, mpg: 29, origin: 'EU' }, +]; + +const MONTHLY = [ + { month: '2025-01', value: 12 }, + { month: '2025-02', value: 18 }, + { month: '2025-03', value: 15 }, +]; + +function input(chartType: string, encodings: Record, values: any[], semantic_types: Record, chartProperties?: Record) { + return { + data: { values }, + semantic_types, + chart_spec: { chartType, encodings, baseSize: { width: 400, height: 300 }, ...(chartProperties ? { chartProperties } : {}) }, + } as any; +} + +/** Recursively assert a value contains no functions (pure JSON). */ +function assertNoFunctions(node: any, path = '$'): void { + if (typeof node === 'function') { + throw new Error(`function found at ${path}`); + } + if (node && typeof node === 'object') { + for (const [k, v] of Object.entries(node)) { + assertNoFunctions(v, `${path}.${k}`); + } + } +} + +describe('Plotly backend', () => { + it('registers exactly the four acceptance templates', () => { + expect(plAllTemplateDefs.map(t => t.chart).sort()).toEqual( + ['Area Chart', 'Bar Chart', 'Line Chart', 'Scatter Plot'], + ); + expect(plGetTemplateDef('Bar Chart')).toBeDefined(); + }); + + it('throws on an unregistered chart type', () => { + expect(() => + assemblePlotly(input('Heatmap', { x: { field: 'region' }, y: { field: 'revenue' } }, SALES, { region: 'Region', revenue: 'Amount' })), + ).toThrow(/Unknown Plotly chart type/); + }); + + it('bar: builds a bar trace with category order and zero baseline', () => { + const fig = assemblePlotly(input('Bar Chart', { x: { field: 'region' }, y: { field: 'revenue' } }, SALES, { region: 'Region', revenue: 'Amount' })); + expect(fig.data).toHaveLength(1); + expect(fig.data[0].type).toBe('bar'); + expect(fig.data[0].x).toEqual(['East', 'South', 'North']); + expect(fig.data[0].y).toEqual([168, 167, 145]); + expect(fig.layout.xaxis.type).toBe('category'); + expect(fig.layout.yaxis.rangemode).toBe('tozero'); + expect(fig.layout.width).toBeGreaterThan(0); + expect(fig.layout.height).toBeGreaterThan(0); + }); + + it('bar: transposes to horizontal when the category is on y', () => { + const fig = assemblePlotly(input('Bar Chart', { x: { field: 'revenue' }, y: { field: 'region' } }, SALES, { region: 'Region', revenue: 'Amount' })); + expect(fig.data[0].orientation).toBe('h'); + expect(fig.data[0].y).toEqual(['East', 'South', 'North']); + expect(fig.layout.xaxis.rangemode).toBe('tozero'); + }); + + it('line: one trace per color group with legend on', () => { + const fig = assemblePlotly(input('Line Chart', { x: { field: 'region' }, y: { field: 'revenue' }, color: { field: 'year' } }, GROUPED, { region: 'Region', revenue: 'Amount', year: 'Year' })); + expect(fig.data).toHaveLength(2); + expect(fig.data.map((t: any) => t.name)).toEqual(['2024', '2025']); + expect(fig.data[0].mode).toBe('lines'); + expect(fig.layout.showlegend).toBe(true); + }); + + it('line: temporal x uses a native date axis with ISO values', () => { + const fig = assemblePlotly(input('Line Chart', { x: { field: 'month' }, y: { field: 'value' } }, MONTHLY, { month: 'YearMonth', value: 'Amount' })); + expect(fig.layout.xaxis.type).toBe('date'); + expect(typeof fig.data[0].x[0]).toBe('string'); + expect(fig.data[0].x[0]).toMatch(/^\d{4}-\d{2}-\d{2}T/); + }); + + it('area: stacked color groups use stackgroup; single series fills to zero', () => { + const grouped = assemblePlotly(input('Area Chart', { x: { field: 'region' }, y: { field: 'revenue' }, color: { field: 'year' } }, GROUPED, { region: 'Region', revenue: 'Amount', year: 'Year' })); + expect(grouped.data.every((t: any) => t.stackgroup === 'one')).toBe(true); + + const single = assemblePlotly(input('Area Chart', { x: { field: 'region' }, y: { field: 'revenue' } }, SALES, { region: 'Region', revenue: 'Amount' })); + expect(single.data[0].fill).toBe('tozeroy'); + }); + + it('scatter: markers mode, per-group traces, no forced zero for open measures', () => { + const fig = assemblePlotly(input('Scatter Plot', { x: { field: 'weight' }, y: { field: 'mpg' }, color: { field: 'origin' } }, CARS, { weight: 'Quantity', mpg: 'Quantity', origin: 'Country' })); + expect(fig.data).toHaveLength(3); + expect(fig.data[0].mode).toBe('markers'); + expect(fig.data[0].marker.size).toBeGreaterThan(0); + }); + + it('drops unsupported facet channels with a warning instead of throwing', () => { + const fig = assemblePlotly(input('Bar Chart', { x: { field: 'region' }, y: { field: 'revenue' }, column: { field: 'year' } }, GROUPED, { region: 'Region', revenue: 'Amount', year: 'Year' })); + expect(fig.data[0].type).toBe('bar'); + expect(fig._warnings?.some((w: any) => /column/.test(w.message))).toBe(true); + }); + + it('figures are pure JSON for all four templates', () => { + const figures = [ + assemblePlotly(input('Bar Chart', { x: { field: 'region' }, y: { field: 'revenue' } }, SALES, { region: 'Region', revenue: 'Amount' })), + assemblePlotly(input('Line Chart', { x: { field: 'month' }, y: { field: 'value' } }, MONTHLY, { month: 'YearMonth', value: 'Amount' })), + assemblePlotly(input('Area Chart', { x: { field: 'region' }, y: { field: 'revenue' }, color: { field: 'year' } }, GROUPED, { region: 'Region', revenue: 'Amount', year: 'Year' })), + assemblePlotly(input('Scatter Plot', { x: { field: 'weight' }, y: { field: 'mpg' } }, CARS, { weight: 'Quantity', mpg: 'Quantity' })), + ]; + for (const fig of figures) { + assertNoFunctions(fig); + expect(JSON.parse(JSON.stringify(fig))).toEqual(fig); + } + }); +}); diff --git a/packages/flint-js/tests/smoke.test.ts b/packages/flint-js/tests/smoke.test.ts index 1684754d..a8891eab 100644 --- a/packages/flint-js/tests/smoke.test.ts +++ b/packages/flint-js/tests/smoke.test.ts @@ -6,6 +6,7 @@ import { assembleVegaLite, assembleECharts, assembleChartjs, + assemblePlotly, } from '../src'; const DATA = [ @@ -47,6 +48,13 @@ describe('public API smoke', () => { expect(config.type ?? config.data ?? config.options).toBeDefined(); }); + it('assemblePlotly returns a figure object', () => { + const figure = assemblePlotly(INPUT) as any; + expect(figure).toBeDefined(); + expect(Array.isArray(figure.data)).toBe(true); + expect(figure.layout).toBeDefined(); + }); + it('line chart with quantitative color uses a line layer plus colored points', () => { const spec = assembleVegaLite({ data: { diff --git a/packages/flint-js/tsup.config.ts b/packages/flint-js/tsup.config.ts index 860a3862..3b11b9a7 100644 --- a/packages/flint-js/tsup.config.ts +++ b/packages/flint-js/tsup.config.ts @@ -7,6 +7,7 @@ export default defineConfig({ 'vegalite/index': 'src/vegalite/index.ts', 'echarts/index': 'src/echarts/index.ts', 'chartjs/index': 'src/chartjs/index.ts', + 'plotly/index': 'src/plotly/index.ts', 'test-data/index': 'src/test-data/index.ts', 'gallery/index': 'src/gallery/index.ts', }, @@ -17,5 +18,5 @@ export default defineConfig({ splitting: false, treeshake: true, target: 'es2020', - external: ['vega', 'vega-lite', 'echarts', 'chart.js'], + external: ['vega', 'vega-lite', 'echarts', 'chart.js', 'plotly.js'], }); From 19d762e2ce716a2c716636c545ec741839b8fb57 Mon Sep 17 00:00:00 2001 From: jason-zl190 Date: Sat, 18 Jul 2026 23:04:16 +0800 Subject: [PATCH 2/7] feat(site): render the Plotly backend in gallery and editor PlotlyView (plotly.js-dist-min, designed-size wrapper mirroring ChartjsView), a BACKENDS adapter entry, and the per-view dispatch lines in WallChart / TripleChart / DocChart. Editor output language and ChartWall result names gain their 'plotly' entries. Co-Authored-By: Claude Fable 5 --- package-lock.json | 22 +++++------ site/package.json | 1 + site/src/components/DocChart.tsx | 2 + site/src/components/PlotlyView.tsx | 57 +++++++++++++++++++++++++++ site/src/components/TripleChart.tsx | 2 + site/src/components/WallChart.tsx | 2 + site/src/routes/ChartWall.tsx | 1 + site/src/routes/Editor.tsx | 1 + site/src/shared/supported-backends.ts | 10 ++++- site/src/types/plotly.d.ts | 7 ++++ 10 files changed, 93 insertions(+), 12 deletions(-) create mode 100644 site/src/components/PlotlyView.tsx create mode 100644 site/src/types/plotly.d.ts diff --git a/package-lock.json b/package-lock.json index 12cd7f8e..45112eac 100644 --- a/package-lock.json +++ b/package-lock.json @@ -5545,7 +5545,6 @@ "os": [ "android" ], - "peer": true, "engines": { "node": ">= 12.0.0" }, @@ -5567,7 +5566,6 @@ "os": [ "darwin" ], - "peer": true, "engines": { "node": ">= 12.0.0" }, @@ -5589,7 +5587,6 @@ "os": [ "darwin" ], - "peer": true, "engines": { "node": ">= 12.0.0" }, @@ -5611,7 +5608,6 @@ "os": [ "freebsd" ], - "peer": true, "engines": { "node": ">= 12.0.0" }, @@ -5633,7 +5629,6 @@ "os": [ "linux" ], - "peer": true, "engines": { "node": ">= 12.0.0" }, @@ -5655,7 +5650,6 @@ "os": [ "linux" ], - "peer": true, "engines": { "node": ">= 12.0.0" }, @@ -5677,7 +5671,6 @@ "os": [ "linux" ], - "peer": true, "engines": { "node": ">= 12.0.0" }, @@ -5699,7 +5692,6 @@ "os": [ "linux" ], - "peer": true, "engines": { "node": ">= 12.0.0" }, @@ -5721,7 +5713,6 @@ "os": [ "linux" ], - "peer": true, "engines": { "node": ">= 12.0.0" }, @@ -5743,7 +5734,6 @@ "os": [ "win32" ], - "peer": true, "engines": { "node": ">= 12.0.0" }, @@ -5765,7 +5755,6 @@ "os": [ "win32" ], - "peer": true, "engines": { "node": ">= 12.0.0" }, @@ -7242,6 +7231,12 @@ "pathe": "^2.0.1" } }, + "node_modules/plotly.js-dist-min": { + "version": "2.35.3", + "resolved": "https://registry.npmjs.org/plotly.js-dist-min/-/plotly.js-dist-min-2.35.3.tgz", + "integrity": "sha512-sz2HLP8gkysLx/BanM2PtJTtZ1PLPwdHwMWNri2YxLBy3IOeuDsVQtlmWa4hoK3j/fi4naaD3uZJqH5ozM3zGg==", + "license": "MIT" + }, "node_modules/postcss": { "version": "8.5.15", "resolved": "https://registry.npmjs.org/postcss/-/postcss-8.5.15.tgz", @@ -9614,6 +9609,7 @@ "peerDependencies": { "chart.js": "^4.0.0", "echarts": "^5.0.0 || ^6.0.0", + "plotly.js": "^2.0.0 || ^3.0.0", "vega": "^5.0.0 || ^6.0.0", "vega-lite": "^5.0.0 || ^6.0.0" }, @@ -9624,6 +9620,9 @@ "echarts": { "optional": true }, + "plotly.js": { + "optional": true + }, "vega": { "optional": true }, @@ -9843,6 +9842,7 @@ "flint-chart": "*", "i18next": "^26.3.6", "katex": "^0.17.0", + "plotly.js-dist-min": "^2.35.2", "react": "^18.3.1", "react-dom": "^18.3.1", "react-i18next": "^17.0.10", diff --git a/site/package.json b/site/package.json index 72d39abd..698d0229 100644 --- a/site/package.json +++ b/site/package.json @@ -16,6 +16,7 @@ "@uiw/react-codemirror": "^4.23.0", "chart.js": "^4.5.1", "echarts": "^6.0.0", + "plotly.js-dist-min": "^2.35.2", "flint-chart": "*", "i18next": "^26.3.6", "katex": "^0.17.0", diff --git a/site/src/components/DocChart.tsx b/site/src/components/DocChart.tsx index eea0ad8c..b91d7272 100644 --- a/site/src/components/DocChart.tsx +++ b/site/src/components/DocChart.tsx @@ -3,6 +3,7 @@ import { TEST_GENERATORS } from 'flint-chart/test-data'; import { VegaLiteView } from './VegaLiteView'; import { EChartsView } from './EChartsView'; import { ChartjsView } from './ChartjsView'; +import { PlotlyView } from './PlotlyView'; import { ScaleToFit } from './ScaleToFit'; import { testCaseToAssemblyInput, type CanvasSize } from '../shared/test-case-utils'; import { BACKENDS, type PreviewBackend } from '../shared/supported-backends'; @@ -147,6 +148,7 @@ export function DocChart({ source, backend = 'vegalite' }: { source: string; bac {result.kind === 'vegalite' && } {result.kind === 'echarts' && } {result.kind === 'chartjs' && } + {result.kind === 'plotly' && } ); diff --git a/site/src/components/PlotlyView.tsx b/site/src/components/PlotlyView.tsx new file mode 100644 index 00000000..04261adb --- /dev/null +++ b/site/src/components/PlotlyView.tsx @@ -0,0 +1,57 @@ +import { useEffect, useRef } from 'react'; +import Plotly from 'plotly.js-dist-min'; + +const asFinite = (v: unknown): number | undefined => + typeof v === 'number' && Number.isFinite(v) ? v : undefined; + +/** + * Plotly renderer. + * + * The flint Plotly assembler computes a designed figure size (`_width`/`_height`, + * also written into `layout.width`/`layout.height`). Render into a wrapper sized + * to those dimensions so the plot keeps its designed proportions, the same way + * the other backend views render at their natural designed size. + */ +export function PlotlyView({ + figure, + height = 320, + constrain = true, +}: { + figure: any; + height?: number; + /** When false, render at the designed pixel size without clamping to the + * container width (used by the photo-wall, which scales charts to fit). */ + constrain?: boolean; +}) { + const ref = useRef(null); + + const designedWidth = asFinite(figure?._width); + const designedHeight = asFinite(figure?._height); + const renderHeight = designedHeight ?? height; + + useEffect(() => { + const el = ref.current; + if (!el) return; + Plotly.newPlot(el, figure?.data ?? [], figure?.layout ?? {}, { + displayModeBar: false, + responsive: false, + }); + return () => { + Plotly.purge(el); + }; + }, [figure]); + + return ( +
+
+
+ ); +} diff --git a/site/src/components/TripleChart.tsx b/site/src/components/TripleChart.tsx index 582202dc..8cd17a5e 100644 --- a/site/src/components/TripleChart.tsx +++ b/site/src/components/TripleChart.tsx @@ -3,6 +3,7 @@ import type { TestCase } from 'flint-chart/test-data'; import { VegaLiteView } from './VegaLiteView'; import { EChartsView } from './EChartsView'; import { ChartjsView } from './ChartjsView'; +import { PlotlyView } from './PlotlyView'; import { testCaseToAssemblyInput } from '../shared/test-case-utils'; import { BACKENDS, @@ -130,6 +131,7 @@ export function TripleChart({ {backend === 'vegalite' && } {backend === 'echarts' && } {backend === 'chartjs' && } + {backend === 'plotly' && } ) : ( 
diff --git a/site/src/components/WallChart.tsx b/site/src/components/WallChart.tsx
index 66fd0368..178f6d55 100644
--- a/site/src/components/WallChart.tsx
+++ b/site/src/components/WallChart.tsx
@@ -3,6 +3,7 @@ import type { TestCase } from 'flint-chart/test-data';
 import { VegaLiteView } from './VegaLiteView';
 import { EChartsView } from './EChartsView';
 import { ChartjsView } from './ChartjsView';
+import { PlotlyView } from './PlotlyView';
 import { testCaseToAssemblyInput, thumbnailCanvasSize, type CanvasSize } from '../shared/test-case-utils';
 import { BACKENDS, type PreviewBackend } from '../shared/supported-backends';
 import { siteTheme } from '../shared/theme';
@@ -68,5 +69,6 @@ export function WallChart({
 
   if (backend === 'vegalite') return ;
   if (backend === 'echarts') return ;
+  if (backend === 'plotly') return ;
   return ;
 }
diff --git a/site/src/routes/ChartWall.tsx b/site/src/routes/ChartWall.tsx
index 1b9aae3e..2454f32e 100644
--- a/site/src/routes/ChartWall.tsx
+++ b/site/src/routes/ChartWall.tsx
@@ -561,6 +561,7 @@ function BackendIntro({
     vegalite: 'spec',
     echarts: 'option',
     chartjs: 'config',
+    plotly: 'figure',
   };
   const snippet = `import { ${category.fn} } from 'flint-chart';
 
diff --git a/site/src/routes/Editor.tsx b/site/src/routes/Editor.tsx
index a3317a92..f9306a22 100644
--- a/site/src/routes/Editor.tsx
+++ b/site/src/routes/Editor.tsx
@@ -318,6 +318,7 @@ const OUTPUT_LANG: Record = {
   vegalite: 'Vega-Lite JSON',
   echarts: 'ECharts option',
   chartjs: 'Chart.js config',
+  plotly: 'Plotly figure',
 };
 
 /**
diff --git a/site/src/shared/supported-backends.ts b/site/src/shared/supported-backends.ts
index f4c4ea1f..961e220f 100644
--- a/site/src/shared/supported-backends.ts
+++ b/site/src/shared/supported-backends.ts
@@ -2,13 +2,15 @@ import {
   assembleVegaLite,
   assembleECharts,
   assembleChartjs,
+  assemblePlotly,
   cjsGetTemplateDef,
   ecGetTemplateDef,
   vlGetTemplateDef,
+  plGetTemplateDef,
   type ChartAssemblyInput,
 } from 'flint-chart';
 
-export type PreviewBackend = 'vegalite' | 'echarts' | 'chartjs';
+export type PreviewBackend = 'vegalite' | 'echarts' | 'chartjs' | 'plotly';
 
 /** A backend's template def (or `undefined` when it has no template for a type). */
 type TemplateDef = ReturnType;
@@ -51,6 +53,12 @@ export const BACKENDS: Record = {
     assemble: assembleChartjs,
     getTemplateDef: cjsGetTemplateDef,
   },
+  plotly: {
+    id: 'plotly',
+    label: 'Plotly',
+    assemble: assemblePlotly,
+    getTemplateDef: plGetTemplateDef,
+  },
 };
 
 export const ALL_BACKENDS = Object.keys(BACKENDS) as PreviewBackend[];
diff --git a/site/src/types/plotly.d.ts b/site/src/types/plotly.d.ts
new file mode 100644
index 00000000..5116476f
--- /dev/null
+++ b/site/src/types/plotly.d.ts
@@ -0,0 +1,7 @@
+declare module 'plotly.js-dist-min' {
+  const Plotly: {
+    newPlot: (el: HTMLElement, data: unknown[], layout?: unknown, config?: unknown) => Promise;
+    purge: (el: HTMLElement) => void;
+  };
+  export default Plotly;
+}

From 77451f6f1ee85c04d32021dece8e4867c57e6d12 Mon Sep 17 00:00:00 2001
From: jason-zl190 
Date: Sat, 18 Jul 2026 23:27:19 +0800
Subject: [PATCH 3/7] feat(plotly): facet grids and color-decision palettes
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Facets: column/row encodings render as a subplot grid (facet.ts) —
per-panel axis pairs with explicit domains, mirroring the Chart.js
backend's facet decisions: shared nice-rounded y-domain, y tick
labels and title on the leftmost column only, column-only wrapping
from the shared facet budget, column headers above panels. Row
headers sit on the right (Vega-Lite style) because the left edge is
occupied by y labels in a single combined figure; x-axis titles show
on the bottom row only for the same reason. The first-merge
'unsupported-channel' warning path is gone — all four templates now
declare column/row.

Colors: colormap.ts mirrors chartjs/colormap.ts — core color
decisions (schemeType / schemeId / categoryCount) pick from
Plotly-native palettes (plotly10 / light24 qualitative, viridis
sequential, RdBu diverging); templates thread the resolved palette
instead of indexing the default colorway directly.

Co-Authored-By: Claude Fable 5 
---
 package-lock.json                             |  22 +-
 packages/flint-js/src/plotly/assemble.ts      | 160 ++++++++++---
 packages/flint-js/src/plotly/colormap.ts      | 160 +++++++++++++
 packages/flint-js/src/plotly/facet.ts         | 216 ++++++++++++++++++
 .../flint-js/src/plotly/templates/area.ts     |   6 +-
 packages/flint-js/src/plotly/templates/bar.ts |   7 +-
 .../flint-js/src/plotly/templates/line.ts     |   6 +-
 .../flint-js/src/plotly/templates/scatter.ts  |   7 +-
 .../flint-js/src/plotly/templates/utils.ts    |  34 ++-
 9 files changed, 565 insertions(+), 53 deletions(-)
 create mode 100644 packages/flint-js/src/plotly/colormap.ts
 create mode 100644 packages/flint-js/src/plotly/facet.ts

diff --git a/package-lock.json b/package-lock.json
index 45112eac..12cd7f8e 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -5545,6 +5545,7 @@
       "os": [
         "android"
       ],
+      "peer": true,
       "engines": {
         "node": ">= 12.0.0"
       },
@@ -5566,6 +5567,7 @@
       "os": [
         "darwin"
       ],
+      "peer": true,
       "engines": {
         "node": ">= 12.0.0"
       },
@@ -5587,6 +5589,7 @@
       "os": [
         "darwin"
       ],
+      "peer": true,
       "engines": {
         "node": ">= 12.0.0"
       },
@@ -5608,6 +5611,7 @@
       "os": [
         "freebsd"
       ],
+      "peer": true,
       "engines": {
         "node": ">= 12.0.0"
       },
@@ -5629,6 +5633,7 @@
       "os": [
         "linux"
       ],
+      "peer": true,
       "engines": {
         "node": ">= 12.0.0"
       },
@@ -5650,6 +5655,7 @@
       "os": [
         "linux"
       ],
+      "peer": true,
       "engines": {
         "node": ">= 12.0.0"
       },
@@ -5671,6 +5677,7 @@
       "os": [
         "linux"
       ],
+      "peer": true,
       "engines": {
         "node": ">= 12.0.0"
       },
@@ -5692,6 +5699,7 @@
       "os": [
         "linux"
       ],
+      "peer": true,
       "engines": {
         "node": ">= 12.0.0"
       },
@@ -5713,6 +5721,7 @@
       "os": [
         "linux"
       ],
+      "peer": true,
       "engines": {
         "node": ">= 12.0.0"
       },
@@ -5734,6 +5743,7 @@
       "os": [
         "win32"
       ],
+      "peer": true,
       "engines": {
         "node": ">= 12.0.0"
       },
@@ -5755,6 +5765,7 @@
       "os": [
         "win32"
       ],
+      "peer": true,
       "engines": {
         "node": ">= 12.0.0"
       },
@@ -7231,12 +7242,6 @@
         "pathe": "^2.0.1"
       }
     },
-    "node_modules/plotly.js-dist-min": {
-      "version": "2.35.3",
-      "resolved": "https://registry.npmjs.org/plotly.js-dist-min/-/plotly.js-dist-min-2.35.3.tgz",
-      "integrity": "sha512-sz2HLP8gkysLx/BanM2PtJTtZ1PLPwdHwMWNri2YxLBy3IOeuDsVQtlmWa4hoK3j/fi4naaD3uZJqH5ozM3zGg==",
-      "license": "MIT"
-    },
     "node_modules/postcss": {
       "version": "8.5.15",
       "resolved": "https://registry.npmjs.org/postcss/-/postcss-8.5.15.tgz",
@@ -9609,7 +9614,6 @@
       "peerDependencies": {
         "chart.js": "^4.0.0",
         "echarts": "^5.0.0 || ^6.0.0",
-        "plotly.js": "^2.0.0 || ^3.0.0",
         "vega": "^5.0.0 || ^6.0.0",
         "vega-lite": "^5.0.0 || ^6.0.0"
       },
@@ -9620,9 +9624,6 @@
         "echarts": {
           "optional": true
         },
-        "plotly.js": {
-          "optional": true
-        },
         "vega": {
           "optional": true
         },
@@ -9842,7 +9843,6 @@
         "flint-chart": "*",
         "i18next": "^26.3.6",
         "katex": "^0.17.0",
-        "plotly.js-dist-min": "^2.35.2",
         "react": "^18.3.1",
         "react-dom": "^18.3.1",
         "react-i18next": "^17.0.10",
diff --git a/packages/flint-js/src/plotly/assemble.ts b/packages/flint-js/src/plotly/assemble.ts
index 2cb94dc3..628bb304 100644
--- a/packages/flint-js/src/plotly/assemble.ts
+++ b/packages/flint-js/src/plotly/assemble.ts
@@ -20,14 +20,14 @@
  *   Figures are pure JSON — no callback functions anywhere — so compiled
  *   specs survive serialization across process boundaries.
  *
- * First-merge scope: no `column` / `row` facet support; encodings on
- * unsupported channels are dropped with a warning (follow-up: subplot grids).
+ * column/row facets render as a subplot grid (see facet.ts), mirroring the
+ * Chart.js backend's facet decisions (shared nice y-domain, leftmost-only
+ * y labels, column wrapping).
  *
  * This module has NO React, Redux, or UI framework dependencies.
  */
 
 import {
-    ChartEncoding,
     ChartTemplateDef,
     ChartAssemblyInput,
     AssembleOptions,
@@ -44,6 +44,7 @@ import { filterOverflow } from '../core/filter-overflow';
 import { computeLayout, computeChannelBudgets, deriveStretchCaps, resolveBaseSize } from '../core/compute-layout';
 import { decideColorMaps } from '../core/color-decisions';
 import { plApplyLayoutToSpec, plApplyTooltips } from './instantiate-spec';
+import { plCombineFacetPanels, niceBounds, type PlotlyFacetPanel } from './facet';
 import { normalizeStaticSeries } from '../core/static-series';
 import { normalizeChartProperties } from '../core/normalize-properties';
 
@@ -93,24 +94,7 @@ export function assemblePlotly(input: ChartAssemblyInput): any {
     let data = normalized.data;
     const staticSeries = normalized.staticSeries;
 
-    // First-merge scope: drop encodings on channels this template does not
-    // declare (notably column/row facets) instead of silently mis-rendering.
-    const supported: Record = {};
-    for (const [ch, enc] of Object.entries(normalized.encodings)) {
-        if (chartTemplate.channels.includes(ch)) {
-            supported[ch] = enc;
-        } else {
-            warnings.push({
-                severity: 'warning',
-                code: 'unsupported-channel',
-                message: `Channel "${ch}" is not supported by the Plotly ${chartType} template yet and was ignored.`,
-                channel: ch,
-                field: enc.field,
-            });
-        }
-    }
-
-    const encodings = applyEncodingOverrides(chartTemplate, supported, chartProperties);
+    const encodings = applyEncodingOverrides(chartTemplate, normalized.encodings, chartProperties);
 
     // Optional aggregation transform — see vegalite/assemble for rationale.
     data = applyAggregation(encodings, data);
@@ -233,11 +217,135 @@ export function assemblePlotly(input: ChartAssemblyInput): any {
         }),
     };
 
-    const figure: any = structuredClone(chartTemplate.template);
-    chartTemplate.instantiate(figure, instantiateContext);
-    plApplyLayoutToSpec(figure, instantiateContext, warnings);
-    if (addTooltipsOpt) plApplyTooltips(figure);
-    if (chartTemplate.postProcess) chartTemplate.postProcess(figure, instantiateContext);
+    const colField = channelSemantics.column?.field;
+    const rowField = channelSemantics.row?.field;
+    const hasFacet = !!(colField || rowField);
+
+    let figure: any;
+    if (hasFacet) {
+        const colValues = colField ? [...new Set(values.map((r: any) => String(r[colField])))] : [''];
+        const rowValues = rowField ? [...new Set(values.map((r: any) => String(r[rowField])))] : [''];
+
+        // Shared y-domain across panels (mirror the Chart.js backend): nice
+        // bounds so the shared top/bottom land on round tick values.
+        const yField = channelSemantics.y?.field;
+        let sharedYDomain: { min: number; max: number } | undefined;
+        if (yField) {
+            const nums = values
+                .map((r: any) => r[yField])
+                .filter((v: any) => typeof v === 'number' && Number.isFinite(v)) as number[];
+            if (nums.length > 0) {
+                const rawMin = Math.min(...nums);
+                const rawMax = Math.max(...nums);
+                const forceZero = !!channelSemantics.y?.zero?.zero;
+                const min = forceZero ? Math.min(0, rawMin) : rawMin;
+                const max = forceZero ? Math.max(0, rawMax) : rawMax;
+                sharedYDomain = niceBounds(min, max);
+            }
+        }
+
+        // Column wrapping: a column-only facet with more categories than fit
+        // in one row wraps into a 2D grid (matching the other backends). The
+        // wrap width comes from the shared facet-grid budget.
+        const maxColsPerRow = (colField && !rowField)
+            ? (facetGridResult?.columns ?? colValues.length)
+            : colValues.length;
+        const wrapColumnOnly = !!colField && !rowField && maxColsPerRow < colValues.length;
+
+        const gridRows: Array> = [];
+        if (wrapColumnOnly) {
+            for (let i = 0; i < colValues.length; i += maxColsPerRow) {
+                gridRows.push(
+                    colValues.slice(i, i + maxColsPerRow).map((cv) => ({ colVal: cv, rowVal: '' })),
+                );
+            }
+        } else {
+            for (let ri = 0; ri < rowValues.length; ri++) {
+                gridRows.push(colValues.map((cv) => ({ colVal: cv, rowVal: rowValues[ri] })));
+            }
+        }
+        const gridCols = Math.max(1, ...gridRows.map(r => r.length));
+
+        // Panel plot size — same discrete/continuous rules as plApplyLayoutToSpec.
+        const xIsDiscrete = layoutResult.xNominalCount > 0 || layoutResult.xContinuousAsDiscrete > 0;
+        const yIsDiscrete = layoutResult.yNominalCount > 0 || layoutResult.yContinuousAsDiscrete > 0;
+        let panelWidth: number;
+        let panelHeight: number;
+        if (xIsDiscrete && layoutResult.xStepUnit !== 'group') {
+            const n = layoutResult.xNominalCount || layoutResult.xContinuousAsDiscrete || 0;
+            panelWidth = n > 0 ? layoutResult.xStep * n : (layoutResult.subplotWidth || canvasSize.width);
+        } else {
+            panelWidth = layoutResult.subplotWidth || canvasSize.width;
+        }
+        if (yIsDiscrete && layoutResult.yStepUnit !== 'group') {
+            const n = layoutResult.yNominalCount || layoutResult.yContinuousAsDiscrete || 0;
+            panelHeight = n > 0 ? layoutResult.yStep * n : (layoutResult.subplotHeight || canvasSize.height);
+        } else {
+            panelHeight = layoutResult.subplotHeight || canvasSize.height;
+        }
+
+        const panels: PlotlyFacetPanel[] = [];
+        for (let ri = 0; ri < gridRows.length; ri++) {
+            const cells = gridRows[ri];
+            for (let ci = 0; ci < cells.length; ci++) {
+                const { colVal, rowVal } = cells[ci];
+                const panelData = values.filter((r: any) => {
+                    if (colField && String(r[colField]) !== colVal) return false;
+                    if (rowField && String(r[rowField]) !== rowVal) return false;
+                    return true;
+                });
+
+                const panelFigure: any = structuredClone(chartTemplate.template);
+                const panelContext: InstantiateContext = {
+                    ...instantiateContext,
+                    table: panelData,
+                };
+                chartTemplate.instantiate(panelFigure, panelContext);
+                if (chartTemplate.postProcess) chartTemplate.postProcess(panelFigure, panelContext);
+
+                panels.push({
+                    rowIndex: ri,
+                    colIndex: ci,
+                    rowHeader: rowField ? rowVal : undefined,
+                    colHeader: colField ? colVal : undefined,
+                    figure: panelFigure,
+                });
+            }
+        }
+
+        figure = plCombineFacetPanels(panels, {
+            rows: gridRows.length,
+            cols: gridCols,
+            panelWidth,
+            panelHeight,
+            sharedYDomain,
+            hasColHeader: !!colField,
+            hasRowHeader: !!rowField,
+            colHeaderPerRow: wrapColumnOnly,
+            showLegend: !!channelSemantics.color?.field,
+        });
+
+        // Apply the shared x-label rotation / font decisions to every panel axis.
+        if (layoutResult.xLabel) {
+            for (const key of Object.keys(figure.layout)) {
+                if (!/^xaxis\d*$/.test(key)) continue;
+                const ax = figure.layout[key];
+                if (layoutResult.xLabel.labelAngle) {
+                    ax.tickangle = Math.abs(layoutResult.xLabel.labelAngle);
+                }
+                if (layoutResult.xLabel.fontSize) {
+                    ax.tickfont = { ...(ax.tickfont || {}), size: layoutResult.xLabel.fontSize };
+                }
+            }
+        }
+        if (addTooltipsOpt) plApplyTooltips(figure);
+    } else {
+        figure = structuredClone(chartTemplate.template);
+        chartTemplate.instantiate(figure, instantiateContext);
+        plApplyLayoutToSpec(figure, instantiateContext, warnings);
+        if (addTooltipsOpt) plApplyTooltips(figure);
+        if (chartTemplate.postProcess) chartTemplate.postProcess(figure, instantiateContext);
+    }
 
     // ═══════════════════════════════════════════════════════════════════════
     // RESULT
diff --git a/packages/flint-js/src/plotly/colormap.ts b/packages/flint-js/src/plotly/colormap.ts
new file mode 100644
index 00000000..54afa6d3
--- /dev/null
+++ b/packages/flint-js/src/plotly/colormap.ts
@@ -0,0 +1,160 @@
+// Copyright (c) Microsoft Corporation.
+// Licensed under the MIT License.
+
+// Plotly 专用调色板定义。
+// 承接 core/color-decisions.ts 中的抽象 colormap 信息（schemeType / schemeId / categoryCount），
+// 但真正的颜色数组与选盘策略完全在 Plotly backend 本地实现，并尽量贴近 Plotly 默认配色。
+
+import type { ColorDecision, ColorMapType } from '../core/color-decisions';
+
+export type PlotlyPaletteId = 'plotly10' | 'light24' | 'viridis' | 'RdBu' | string;
+
+export interface PlotlyColorMapDef {
+    id: PlotlyPaletteId;
+    type: ColorMapType;
+    supportsDiscrete: boolean;
+    supportsContinuous: boolean;
+    background: 'light' | 'dark' | 'any';
+    colorblindSafe?: boolean;
+    maxCategories?: number;
+    diverging?: boolean;
+    preferredMidpoint?: number;
+    colors: string[];
+}
+
+/**
+ * Plotly 常用的基础配色。plotly10 即 plotly.js 默认 `layout.colorway`；
+ * light24 对应 px.colors.qualitative.Light24 的前 20 色，用于高基数类别。
+ */
+const PLOTLY_COLOR_MAPS: PlotlyColorMapDef[] = [
+    {
+        id: 'plotly10',
+        type: 'categorical',
+        supportsDiscrete: true,
+        supportsContinuous: false,
+        background: 'any',
+        maxCategories: 10,
+        colorblindSafe: false,
+        colors: [
+            '#636efa', // blue-violet
+            '#EF553B', // red-orange
+            '#00cc96', // green
+            '#ab63fa', // purple
+            '#FFA15A', // orange
+            '#19d3f3', // cyan
+            '#FF6692', // pink
+            '#B6E880', // light green
+            '#FF97FF', // magenta
+            '#FECB52', // yellow
+        ],
+    },
+    {
+        id: 'light24',
+        type: 'categorical',
+        supportsDiscrete: true,
+        supportsContinuous: false,
+        background: 'light',
+        maxCategories: 24,
+        colorblindSafe: false,
+        colors: [
+            '#FD3216', '#00FE35', '#6A76FC', '#FED4C4', '#FE00CE',
+            '#0DF9FF', '#F6F926', '#FF9616', '#479B55', '#EEA6FB',
+            '#DC587D', '#D626FF', '#6E899C', '#00B5F7', '#B68E00',
+            '#C9FBE5', '#FF0092', '#22FFA7', '#E3EE9E', '#86CE00',
+            '#BC7196', '#7E7DCD', '#FC6955', '#E48F72',
+        ],
+    },
+    {
+        id: 'viridis',
+        type: 'sequential',
+        supportsDiscrete: true,
+        supportsContinuous: true,
+        background: 'any',
+        colorblindSafe: true,
+        colors: [
+            '#440154', '#46327e', '#365c8d', '#277f8e',
+            '#1fa187', '#4ac16d', '#a0da39', '#fde725',
+        ],
+    },
+    {
+        id: 'RdBu',
+        type: 'diverging',
+        supportsDiscrete: true,
+        supportsContinuous: true,
+        background: 'any',
+        diverging: true,
+        preferredMidpoint: 0,
+        colors: [
+            '#b2182b', '#d6604d', '#f4a582', '#fddbc7',
+            '#f7f7f7',
+            '#d1e5f0', '#92c5de', '#4393c3', '#2166ac',
+        ],
+    },
+];
+
+function getMapById(id: PlotlyPaletteId | undefined): PlotlyColorMapDef | undefined {
+    if (!id) return undefined;
+    const key = String(id).toLowerCase();
+    return PLOTLY_COLOR_MAPS.find(m => m.id.toLowerCase() === key);
+}
+
+export function getPaletteForScheme(id: PlotlyPaletteId): string[] | undefined {
+    const entry = getMapById(id);
+    return entry?.colors;
+}
+
+/**
+ * Plotly 侧的「选盘」函数：等价于 chartjs/colormap.ts 的 pickChartJsPalette。
+ *
+ * 策略：
+ *   1）若用户显式指定了 schemeId，则优先按该 id 取 palette。
+ *   2）否则根据 schemeType + categoryCount 自动挑选合适的盘：
+ *        - categorical：按类别数量在 plotly10 / light24 之间选；
+ *        - sequential：优先 viridis；
+ *        - diverging ：优先 RdBu。
+ *   3）若都无法命中，回退到 Plotly 默认 categorical palette（plotly10）。
+ */
+export function pickPlotlyPalette(decision: ColorDecision | undefined): string[] {
+    if (!decision) {
+        const fallback = getPaletteForScheme('plotly10');
+        return fallback && fallback.length ? fallback : [];
+    }
+
+    const { schemeType, schemeId, categoryCount } = decision;
+
+    if (schemeId) {
+        const fromId = getPaletteForScheme(schemeId);
+        if (fromId && fromId.length > 0) {
+            return fromId;
+        }
+    }
+
+    const mapsOfType = PLOTLY_COLOR_MAPS.filter(m => m.type === schemeType);
+
+    if (schemeType === 'categorical') {
+        const k = categoryCount ?? 0;
+        const candidates = mapsOfType.filter(m => m.supportsDiscrete);
+        if (candidates.length) {
+            const byCapacity = candidates
+                .filter(m => m.maxCategories == null || m.maxCategories >= k)
+                .sort((a, b) => (a.maxCategories ?? Infinity) - (b.maxCategories ?? Infinity));
+            const picked = byCapacity[0] ?? candidates[0];
+            if (picked.colors.length) {
+                return picked.colors;
+            }
+        }
+    } else if (schemeType === 'sequential') {
+        const seq = mapsOfType.find(m => m.supportsContinuous) ?? getMapById('viridis');
+        if (seq && seq.colors.length) {
+            return seq.colors;
+        }
+    } else if (schemeType === 'diverging') {
+        const divergingFirst = mapsOfType.find(m => m.diverging) ?? getMapById('RdBu');
+        if (divergingFirst && divergingFirst.colors.length) {
+            return divergingFirst.colors;
+        }
+    }
+
+    const fallback = getPaletteForScheme('plotly10');
+    return fallback && fallback.length ? fallback : [];
+}
diff --git a/packages/flint-js/src/plotly/facet.ts b/packages/flint-js/src/plotly/facet.ts
new file mode 100644
index 00000000..fe2a6ebe
--- /dev/null
+++ b/packages/flint-js/src/plotly/facet.ts
@@ -0,0 +1,216 @@
+// Copyright (c) Microsoft Corporation.
+// Licensed under the MIT License.
+
+/**
+ * Plotly facet grid assembly.
+ *
+ * Combines per-panel figures (one template instantiation per column/row cell)
+ * into a single Plotly figure using per-panel axis pairs (`xaxis`/`xaxis2`/…)
+ * with explicit domains — the Plotly-native equivalent of the Chart.js
+ * backend's facet panel grid (chartjs/assemble.ts), mirroring its decisions:
+ *   - shared, nice-rounded y-domain across all panels
+ *   - only the leftmost column draws y tick labels and the y-axis title
+ *   - column-only facets wrap into a 2D grid using the shared facet budget
+ *   - column headers above panels, row headers rotated on the left
+ *   - one legend entry per series (deduped across panels via legendgroup)
+ */
+
+/** One instantiated facet cell. */
+export interface PlotlyFacetPanel {
+    rowIndex: number;
+    colIndex: number;
+    rowHeader?: string;
+    colHeader?: string;
+    /** The per-panel figure produced by template.instantiate ({ data, layout }). */
+    figure: any;
+}
+
+/**
+ * Round a [min, max] interval outward to "nice" round numbers so the shared
+ * facet axis lands its endpoints on clean tick values (same rule as the
+ * Chart.js backend / Vega-Lite `nice: true`).
+ */
+export function niceBounds(min: number, max: number, targetTicks = 5): { min: number; max: number } {
+    if (!(Number.isFinite(min) && Number.isFinite(max)) || max <= min) {
+        return { min, max };
+    }
+    const niceNum = (range: number, round: boolean): number => {
+        const exp = Math.floor(Math.log10(range));
+        const frac = range / 10 ** exp;
+        let niceFrac: number;
+        if (round) {
+            niceFrac = frac < 1.5 ? 1 : frac < 3 ? 2 : frac < 7 ? 5 : 10;
+        } else {
+            niceFrac = frac <= 1 ? 1 : frac <= 2 ? 2 : frac <= 5 ? 5 : 10;
+        }
+        return niceFrac * 10 ** exp;
+    };
+    const step = niceNum(niceNum(max - min, false) / Math.max(1, targetTicks - 1), true);
+    return {
+        min: Math.floor(min / step) * step,
+        max: Math.ceil(max / step) * step,
+    };
+}
+
+const FACET_GAP_PX = 16;
+const COL_HEADER_H = 22;
+const ROW_HEADER_W = 28;
+const MARGIN = { l: 64, r: 24, t: 16, b: 48 };
+const LEGEND_GUTTER = 96;
+
+/**
+ * Combine instantiated facet panels into one Plotly figure.
+ *
+ * Each panel's own `layout.xaxis` / `layout.yaxis` (category arrays, titles,
+ * range modes) is copied onto that panel's axis pair; traces are re-pointed at
+ * the pair. Domains are computed from the designed pixel grid so the figure
+ * scales exactly like the other backends' facet output.
+ */
+export function plCombineFacetPanels(
+    panels: PlotlyFacetPanel[],
+    opts: {
+        rows: number;
+        cols: number;
+        panelWidth: number;
+        panelHeight: number;
+        sharedYDomain?: { min: number; max: number };
+        hasColHeader: boolean;
+        hasRowHeader: boolean;
+        /** Wrapped column-only facets repeat the header band above every row. */
+        colHeaderPerRow: boolean;
+        showLegend: boolean;
+    },
+): any {
+    const {
+        rows, cols, panelWidth, panelHeight, sharedYDomain,
+        hasColHeader, hasRowHeader, colHeaderPerRow, showLegend,
+    } = opts;
+
+    // Row headers sit on the RIGHT (Vega-Lite style): the left edge is already
+    // occupied by y tick labels + the y-axis title, so a left-side header would
+    // collide with them in a single combined figure.
+    const rowHeaderW = hasRowHeader ? ROW_HEADER_W : 0;
+    const headerBands = colHeaderPerRow ? rows : (hasColHeader ? 1 : 0);
+
+    const plotW = cols * panelWidth + (cols - 1) * FACET_GAP_PX;
+    const plotH = rows * panelHeight + (rows - 1) * FACET_GAP_PX
+        + headerBands * COL_HEADER_H;
+    const totalW = MARGIN.l + plotW + rowHeaderW + MARGIN.r + (showLegend ? LEGEND_GUTTER : 0);
+    const totalH = MARGIN.t + plotH + MARGIN.b;
+
+    // Paper-fraction geometry (Plotly domains live inside the margins).
+    const paperW = plotW + rowHeaderW;
+    const paperH = plotH;
+    const xFrac = (px: number) => px / paperW;
+    const yFrac = (px: number) => px / paperH;
+
+    const colX0 = (ci: number) => ci * (panelWidth + FACET_GAP_PX);
+    // Row band top (px from paper top), accounting for header bands.
+    const rowY0 = (ri: number) => (colHeaderPerRow
+        ? ri * (COL_HEADER_H + panelHeight + FACET_GAP_PX) + COL_HEADER_H
+        : (hasColHeader ? COL_HEADER_H : 0) + ri * (panelHeight + FACET_GAP_PX));
+
+    const figure: any = {
+        data: [],
+        layout: {
+            margin: { ...MARGIN },
+            showlegend: showLegend,
+            annotations: [],
+        },
+        _facet: true,
+        _facetRows: rows,
+        _facetCols: cols,
+        _width: totalW,
+        _height: totalH,
+    };
+    figure.layout.width = totalW;
+    figure.layout.height = totalH;
+
+    const seenLegend = new Set();
+
+    for (const panel of panels) {
+        const { rowIndex: ri, colIndex: ci } = panel;
+        const n = ri * cols + ci + 1;
+        const xName = n === 1 ? 'xaxis' : `xaxis${n}`;
+        const yName = n === 1 ? 'yaxis' : `yaxis${n}`;
+        const xRef = n === 1 ? 'x' : `x${n}`;
+        const yRef = n === 1 ? 'y' : `y${n}`;
+
+        const x0 = xFrac(colX0(ci));
+        const x1 = xFrac(colX0(ci) + panelWidth);
+        // Plotly y-domain runs bottom-up; our rows run top-down.
+        const yTopPx = rowY0(ri);
+        const y1 = 1 - yFrac(yTopPx);
+        const y0 = 1 - yFrac(yTopPx + panelHeight);
+
+        const panelLayout = panel.figure?.layout ?? {};
+        const xAxis: any = { ...(panelLayout.xaxis ?? {}), domain: [x0, x1], anchor: yRef };
+        const yAxis: any = { ...(panelLayout.yaxis ?? {}), domain: [y0, y1], anchor: xRef };
+
+        // Shared y-domain across panels (mirror CJS: fixed nice range, no
+        // per-panel autorange). Rangemode would fight an explicit range.
+        if (sharedYDomain) {
+            yAxis.range = [sharedYDomain.min, sharedYDomain.max];
+            delete yAxis.rangemode;
+        }
+        // Only the leftmost column shows y tick labels + title.
+        if (ci > 0) {
+            yAxis.showticklabels = false;
+            delete yAxis.title;
+        }
+        // X-axis titles only on the bottom row (a per-panel title would
+        // collide with the next row's column headers in a single figure).
+        if (ri < rows - 1) {
+            delete xAxis.title;
+        }
+
+        figure.layout[xName] = xAxis;
+        figure.layout[yName] = yAxis;
+
+        for (const trace of panel.figure?.data ?? []) {
+            const placed: any = { ...trace, xaxis: xRef, yaxis: yRef };
+            const legendKey = String(placed.name ?? '');
+            if (legendKey) {
+                placed.legendgroup = legendKey;
+                placed.showlegend = !seenLegend.has(legendKey);
+                seenLegend.add(legendKey);
+            } else {
+                placed.showlegend = false;
+            }
+            figure.data.push(placed);
+        }
+
+        // Column header annotation (per wrapped row, or once on the top row).
+        if (panel.colHeader != null && (colHeaderPerRow || ri === 0)) {
+            figure.layout.annotations.push({
+                text: String(panel.colHeader),
+                showarrow: false,
+                xref: 'paper', yref: 'paper',
+                x: (x0 + x1) / 2,
+                y: 1 - yFrac(yTopPx - COL_HEADER_H / 2),
+                xanchor: 'center', yanchor: 'middle',
+                font: { size: 12 },
+            });
+        }
+
+        // Row header annotation (rightmost side, Vega-Lite style), rotated.
+        if (panel.rowHeader != null && ci === cols - 1) {
+            figure.layout.annotations.push({
+                text: String(panel.rowHeader),
+                showarrow: false,
+                textangle: 90,
+                xref: 'paper', yref: 'paper',
+                x: xFrac(plotW + rowHeaderW / 2),
+                y: (y0 + y1) / 2,
+                xanchor: 'center', yanchor: 'middle',
+                font: { size: 12 },
+            });
+        }
+    }
+
+    if (!showLegend) {
+        figure.layout.showlegend = false;
+    }
+
+    return figure;
+}
diff --git a/packages/flint-js/src/plotly/templates/area.ts b/packages/flint-js/src/plotly/templates/area.ts
index 0cc5a64e..2474ad98 100644
--- a/packages/flint-js/src/plotly/templates/area.ts
+++ b/packages/flint-js/src/plotly/templates/area.ts
@@ -15,6 +15,7 @@ import {
     groupBy,
     buildCategoryAlignedData,
     coerceIsoDateForPlotly,
+    getPlotlyPalette,
     getSeriesColor,
 } from './utils';
 
@@ -32,7 +33,7 @@ function fillColor(hex: string, alpha: number): string {
 export const plAreaChartDef: ChartTemplateDef = {
     chart: 'Area Chart',
     template: { mark: 'area', encoding: {} },
-    channels: ['x', 'y', 'color', 'opacity'],
+    channels: ['x', 'y', 'color', 'opacity', 'column', 'row'],
     markCognitiveChannel: 'area',
     declareLayoutMode: () => ({
         paramOverrides: { continuousMarkCrossSection: { x: 100, y: 20, seriesCountAxis: 'auto' }, facetAspectRatioResistance: 0.5 },
@@ -60,13 +61,14 @@ export const plAreaChartDef: ChartTemplateDef = {
         const stacked = stackMode !== 'layered';
         const smooth = chartProperties?.interpolate === 'monotone';
 
+        const palette = getPlotlyPalette(ctx, 'color');
         const traces: any[] = [];
         const makeTrace = (name: string, rows: any[], colorIndex: number) => {
             const xVals = xIsDiscrete ? categories! : rows.map(r => mapX(r[xField]));
             const yVals = xIsDiscrete
                 ? buildCategoryAlignedData(rows, xField, yField, categories!)
                 : rows.map(r => (r[yField] == null ? null : r[yField]));
-            const color = getSeriesColor(colorIndex);
+            const color = getSeriesColor(palette, colorIndex);
             const trace: any = {
                 type: 'scatter',
                 mode: 'lines',
diff --git a/packages/flint-js/src/plotly/templates/bar.ts b/packages/flint-js/src/plotly/templates/bar.ts
index 7df8000b..8950c860 100644
--- a/packages/flint-js/src/plotly/templates/bar.ts
+++ b/packages/flint-js/src/plotly/templates/bar.ts
@@ -12,13 +12,13 @@
  */
 
 import { ChartTemplateDef, ChartPropertyDef } from '../../core/types';
-import { extractCategories, buildCategoryAlignedData, detectAxes, getSeriesColor } from './utils';
+import { extractCategories, buildCategoryAlignedData, detectAxes, getPlotlyPalette, getSeriesColor } from './utils';
 import { detectBandedAxisFromSemantics } from '../../core/axis-detection';
 
 export const plBarChartDef: ChartTemplateDef = {
     chart: 'Bar Chart',
     template: { mark: 'bar', encoding: {} },
-    channels: ['x', 'y', 'color', 'opacity'],
+    channels: ['x', 'y', 'color', 'opacity', 'column', 'row'],
     markCognitiveChannel: 'length',
     declareLayoutMode: (cs, table) => {
         const result = detectBandedAxisFromSemantics(cs, table, { preferAxis: 'x' });
@@ -40,6 +40,7 @@ export const plBarChartDef: ChartTemplateDef = {
         const values = buildCategoryAlignedData(table, catField, valField, categories);
 
         const isHorizontal = categoryAxis === 'y';
+        const palette = getPlotlyPalette(ctx);
 
         const catAxisSpec = {
             type: 'category' as const,
@@ -62,7 +63,7 @@ export const plBarChartDef: ChartTemplateDef = {
                 ...(isHorizontal
                     ? { x: values, y: categories, orientation: 'h' }
                     : { x: categories, y: values }),
-                marker: { color: getSeriesColor(0) },
+                marker: { color: getSeriesColor(palette, 0) },
             }],
             layout: {
                 ...(isHorizontal
diff --git a/packages/flint-js/src/plotly/templates/line.ts b/packages/flint-js/src/plotly/templates/line.ts
index 4485e50d..4109a7b1 100644
--- a/packages/flint-js/src/plotly/templates/line.ts
+++ b/packages/flint-js/src/plotly/templates/line.ts
@@ -16,6 +16,7 @@ import {
     groupBy,
     buildCategoryAlignedData,
     coerceIsoDateForPlotly,
+    getPlotlyPalette,
     getSeriesColor,
 } from './utils';
 
@@ -43,7 +44,7 @@ function lineShape(interpolate: unknown): 'linear' | 'spline' | 'hv' | 'vh' | 'h
 export const plLineChartDef: ChartTemplateDef = {
     chart: 'Line Chart',
     template: { mark: 'line', encoding: {} },
-    channels: ['x', 'y', 'color', 'opacity'],
+    channels: ['x', 'y', 'color', 'opacity', 'column', 'row'],
     markCognitiveChannel: 'position',
     declareLayoutMode: () => ({
         paramOverrides: { continuousMarkCrossSection: { x: 100, y: 20, seriesCountAxis: 'auto' }, facetAspectRatioResistance: 0.5 },
@@ -71,6 +72,7 @@ export const plLineChartDef: ChartTemplateDef = {
         const showPoints = chartProperties?.showPoints === true;
         const mode = showPoints ? 'lines+markers' : 'lines';
 
+        const palette = getPlotlyPalette(ctx, 'color');
         const traces: any[] = [];
         const makeTrace = (name: string, rows: any[], colorIndex: number) => {
             const xVals = xIsDiscrete
@@ -85,7 +87,7 @@ export const plLineChartDef: ChartTemplateDef = {
                 name,
                 x: xVals,
                 y: yVals,
-                line: { color: getSeriesColor(colorIndex), shape },
+                line: { color: getSeriesColor(palette, colorIndex), shape },
             };
         };
 
diff --git a/packages/flint-js/src/plotly/templates/scatter.ts b/packages/flint-js/src/plotly/templates/scatter.ts
index 4e1161be..7bf0fba2 100644
--- a/packages/flint-js/src/plotly/templates/scatter.ts
+++ b/packages/flint-js/src/plotly/templates/scatter.ts
@@ -10,7 +10,7 @@
  */
 
 import { ChartTemplateDef, ChartPropertyDef } from '../../core/types';
-import { groupBy, getSeriesColor } from './utils';
+import { groupBy, getPlotlyPalette, getSeriesColor } from './utils';
 
 /** Compute a reasonable marker diameter based on canvas area and point count. */
 function computeMarkerSize(width: number, height: number, pointCount: number): number {
@@ -24,7 +24,7 @@ function computeMarkerSize(width: number, height: number, pointCount: number): n
 export const plScatterPlotDef: ChartTemplateDef = {
     chart: 'Scatter Plot',
     template: { mark: 'circle', encoding: {} },
-    channels: ['x', 'y', 'color', 'size', 'opacity'],
+    channels: ['x', 'y', 'color', 'size', 'opacity', 'column', 'row'],
     markCognitiveChannel: 'position',
     instantiate: (spec, ctx) => {
         const { channelSemantics, table, chartProperties } = ctx;
@@ -36,6 +36,7 @@ export const plScatterPlotDef: ChartTemplateDef = {
 
         const opacity = Number(chartProperties?.opacity ?? 1);
 
+        const palette = getPlotlyPalette(ctx, 'color');
         const traces: any[] = [];
         const makeTrace = (name: string | undefined, rows: any[], colorIndex: number) => ({
             type: 'scatter',
@@ -44,7 +45,7 @@ export const plScatterPlotDef: ChartTemplateDef = {
             x: rows.map(r => r[xField]),
             y: rows.map(r => r[yField]),
             marker: {
-                color: getSeriesColor(colorIndex),
+                color: getSeriesColor(palette, colorIndex),
                 opacity,
                 line: { color: '#ffffff', width: 0.5 },
             },
diff --git a/packages/flint-js/src/plotly/templates/utils.ts b/packages/flint-js/src/plotly/templates/utils.ts
index 160d4824..65bb7bae 100644
--- a/packages/flint-js/src/plotly/templates/utils.ts
+++ b/packages/flint-js/src/plotly/templates/utils.ts
@@ -6,7 +6,8 @@
  * Pure logic — no UI dependencies.
  */
 
-import type { ChannelSemantics } from '../../core/types';
+import type { ChannelSemantics, InstantiateContext } from '../../core/types';
+import { pickPlotlyPalette } from '../colormap';
 
 const isDiscrete = (type: string | undefined) => type === 'nominal' || type === 'ordinal';
 
@@ -116,8 +117,8 @@ export function coerceIsoDateForPlotly(raw: unknown): string | null {
 
 /**
  * Plotly's default qualitative palette (plotly.js `layout.colorway` defaults).
- * Kept local to this backend, mirroring how each backend owns its palette.
- * Integration with core color-decisions is a follow-up.
+ * Fallback when no color decision is available; the decision-aware path lives
+ * in ../colormap.ts (mirroring chartjs/colormap.ts).
  */
 export const PLOTLY_COLORS = [
     '#636efa', // blue-violet
@@ -132,7 +133,28 @@ export const PLOTLY_COLORS = [
     '#FECB52', // yellow
 ];
 
-/** Series color by index (wraps around the default palette). */
-export function getSeriesColor(index: number): string {
-    return PLOTLY_COLORS[index % PLOTLY_COLORS.length];
+/**
+ * 从 color-decisions 解析调色板；若没有决策则回退到 Plotly 默认 plotly10。
+ * (Mirror of chartjs/templates/utils.ts getChartJsPalette.)
+ */
+export function getPlotlyPalette(ctx: InstantiateContext, preferred: 'color' | 'group' = 'color'): string[] {
+    const decisions = ctx.colorDecisions;
+    const decision =
+        preferred === 'color'
+            ? decisions?.color ?? decisions?.group
+            : decisions?.group ?? decisions?.color;
+
+    const palette = pickPlotlyPalette(decision);
+    if (palette.length > 0) {
+        return palette;
+    }
+    return PLOTLY_COLORS;
+}
+
+/** Series color by index from a resolved palette. */
+export function getSeriesColor(palette: string[], index: number): string {
+    if (!palette.length) {
+        return PLOTLY_COLORS[index % PLOTLY_COLORS.length];
+    }
+    return palette[index % palette.length];
 }

From 9ab19b9687228287ee8dd9c924131b82afce6015 Mon Sep 17 00:00:00 2001
From: jason-zl190 
Date: Sat, 18 Jul 2026 23:27:19 +0800
Subject: [PATCH 4/7] test(plotly): dedicated test-data generators and backend
 test matrix
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

genPlotlyCoreTests (four templates, color on/off, horizontal bar) and
genPlotlyFacetTests (column / row / column-row grid), registered as
'Plotly: Core Templates' and 'Plotly: Facets' in TEST_GENERATORS per
the adding-a-chart-template §4 generator pattern. The backend test
file grows facet-grid assertions (axis pairs, shared range,
leftmost-only labels, header annotations, legend dedupe), a
diverging-vs-categorical scheme pick, a generator round-trip that
assembles every dedicated case, and keeps the JSON-purity check over
a facet figure.

Co-Authored-By: Claude Fable 5 
---
 packages/flint-js/src/test-data/index.ts      |   4 +
 .../flint-js/src/test-data/plotly-tests.ts    | 244 ++++++++++++++++++
 .../flint-js/tests/plotly-backend.test.ts     |  79 +++++-
 3 files changed, 324 insertions(+), 3 deletions(-)
 create mode 100644 packages/flint-js/src/test-data/plotly-tests.ts

diff --git a/packages/flint-js/src/test-data/index.ts b/packages/flint-js/src/test-data/index.ts
index c6e19771..e0d5595b 100644
--- a/packages/flint-js/src/test-data/index.ts
+++ b/packages/flint-js/src/test-data/index.ts
@@ -39,6 +39,7 @@ export { genGasPressureTests } from './gas-pressure-tests';
 export { genLineAreaStretchTests } from './line-area-stretch-tests';
 export { genEChartsScatterTests, genEChartsLineTests, genEChartsBarTests, genEChartsStackedBarTests, genEChartsGroupedBarTests, genEChartsStressTests, genEChartsAreaTests, genEChartsPieTests, genEChartsHeatmapTests, genEChartsHistogramTests, genEChartsBoxplotTests, genEChartsRadarTests, genEChartsCandlestickTests, genEChartsStreamgraphTests, genEChartsFacetSmallTests, genEChartsFacetWrapTests, genEChartsFacetClipTests, genEChartsRoseTests, genEChartsGaugeTests, genEChartsFunnelTests, genEChartsTreemapTests, genEChartsSunburstTests, genEChartsSankeyTests, genEChartsUniqueStressTests, genEChartsCalendarTests, genEChartsParallelTests, genEChartsGraphTests, genEChartsTreeTests } from './echarts-tests';
 export { genChartJsScatterTests, genChartJsLineTests, genChartJsBarTests, genChartJsStackedBarTests, genChartJsGroupedBarTests, genChartJsAreaTests, genChartJsPieTests, genChartJsHistogramTests, genChartJsRadarTests, genChartJsStressTests, genChartJsRoseTests, genChartJsBubbleTests, genChartJsDoughnutTests, genChartJsComboTests } from './chartjs-tests';
+export { genPlotlyCoreTests, genPlotlyFacetTests } from './plotly-tests';
 export { genDiscreteAxisTests } from './discrete-axis-tests';
 export { genDateTests, genDateYearTests, genDateMonthTests, genDateYearMonthTests, genDateDecadeTests, genDateDateTimeTests, genDateHoursTests } from './date-tests';
 export { genSemanticContextTests, genSnapToBoundTests } from './semantic-tests';
@@ -112,6 +113,7 @@ import { genDateYearTests, genDateMonthTests, genDateYearMonthTests, genDateDeca
 import { genSemanticContextTests, genSnapToBoundTests } from './semantic-tests';
 import { genEChartsScatterTests, genEChartsLineTests, genEChartsBarTests, genEChartsStackedBarTests, genEChartsGroupedBarTests, genEChartsStressTests, genEChartsAreaTests, genEChartsPieTests, genEChartsHeatmapTests, genEChartsHistogramTests, genEChartsBoxplotTests, genEChartsRadarTests, genEChartsCandlestickTests, genEChartsStreamgraphTests, genEChartsFacetSmallTests, genEChartsFacetWrapTests, genEChartsFacetClipTests, genEChartsRoseTests, genEChartsGaugeTests, genEChartsFunnelTests, genEChartsTreemapTests, genEChartsSunburstTests, genEChartsSankeyTests, genEChartsUniqueStressTests, genEChartsCalendarTests, genEChartsParallelTests, genEChartsGraphTests, genEChartsTreeTests } from './echarts-tests';
 import { genChartJsScatterTests, genChartJsLineTests, genChartJsBarTests, genChartJsStackedBarTests, genChartJsGroupedBarTests, genChartJsAreaTests, genChartJsPieTests, genChartJsHistogramTests, genChartJsRadarTests, genChartJsStressTests, genChartJsRoseTests, genChartJsBubbleTests, genChartJsDoughnutTests, genChartJsComboTests } from './chartjs-tests';
+import { genPlotlyCoreTests, genPlotlyFacetTests } from './plotly-tests';
 import {
     genGalleryRegionalSurveyScatterTests,
     genGalleryRegionalSurveyLineTests,
@@ -247,6 +249,8 @@ export const TEST_GENERATORS: Record TestCase[]> = {
     'Chart.js: Doughnut *': genChartJsDoughnutTests,
     'Chart.js: Combo *': genChartJsComboTests,
     'Chart.js: Stress Tests': genChartJsStressTests,
+    'Plotly: Core Templates': genPlotlyCoreTests,
+    'Plotly: Facets': genPlotlyFacetTests,
     'Gallery: Scatter': genGalleryRegionalSurveyScatterTests,
     'Gallery: Line': genGalleryRegionalSurveyLineTests,
     'Gallery: Bar': genGalleryRegionalSurveyBarTests,
diff --git a/packages/flint-js/src/test-data/plotly-tests.ts b/packages/flint-js/src/test-data/plotly-tests.ts
new file mode 100644
index 00000000..c58baa06
--- /dev/null
+++ b/packages/flint-js/src/test-data/plotly-tests.ts
@@ -0,0 +1,244 @@
+// Copyright (c) Microsoft Corporation.
+// Licensed under the MIT License.
+
+/**
+ * Plotly backend tests.
+ *
+ * Exercises the Plotly backend's first-merge surface: the four acceptance
+ * templates (Bar, Line, Area, Scatter) with color on/off, and the facet
+ * grid path (column, row, column×row) that renders as Plotly subplot pairs.
+ */
+
+import { Type } from './df-types';
+import { TestCase, makeField, makeEncodingItem } from './types';
+import { seededRandom } from './generators';
+
+// ---------------------------------------------------------------------------
+// Test data generators
+// ---------------------------------------------------------------------------
+
+function genRegionSales(seed: number) {
+    const rand = seededRandom(seed);
+    const regions = ['East', 'South', 'North', 'West', 'Central'];
+    return regions.map(r => ({
+        Region: r,
+        Revenue: Math.round(100 + rand() * 900),
+    }));
+}
+
+function genMonthlySeries(seed: number, series: string[]) {
+    const rand = seededRandom(seed);
+    const months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug'];
+    const data: any[] = [];
+    for (const m of months) {
+        for (const s of series) {
+            data.push({
+                Month: m,
+                Value: Math.round(200 + rand() * 800),
+                Series: s,
+            });
+        }
+    }
+    return data;
+}
+
+function genScatterGroups(n: number, seed: number) {
+    const rand = seededRandom(seed);
+    const groups = ['Alpha', 'Beta', 'Gamma'];
+    return Array.from({ length: n }, (_, i) => ({
+        X: Math.round(rand() * 100 * 10) / 10,
+        Y: Math.round(rand() * 100 * 10) / 10,
+        Group: groups[i % groups.length],
+    }));
+}
+
+function genQuarterRegion(seed: number) {
+    const rand = seededRandom(seed);
+    const quarters = ['Q1', 'Q2', 'Q3', 'Q4'];
+    const regions = ['North', 'South'];
+    const data: any[] = [];
+    for (const q of quarters) {
+        for (const r of regions) {
+            data.push({
+                Quarter: q,
+                Revenue: Math.round(200 + rand() * 800),
+                Region: r,
+            });
+        }
+    }
+    return data;
+}
+
+// ---------------------------------------------------------------------------
+// Test case builders
+// ---------------------------------------------------------------------------
+
+/** The four acceptance templates, single-series and color-grouped. */
+export function genPlotlyCoreTests(): TestCase[] {
+    const tests: TestCase[] = [];
+
+    {
+        const data = genRegionSales(42);
+        tests.push({
+            title: 'PL: Bar — Basic N×Q',
+            description: 'Single bar trace; category order preserved, zero baseline.',
+            tags: ['plotly', 'bar'],
+            chartType: 'Bar Chart',
+            data,
+            fields: [makeField('Region'), makeField('Revenue')],
+            metadata: {
+                Region: { type: Type.String, semanticType: 'Region', levels: [] },
+                Revenue: { type: Type.Number, semanticType: 'Amount', levels: [] },
+            },
+            encodingMap: { x: makeEncodingItem('Region'), y: makeEncodingItem('Revenue') },
+        });
+    }
+
+    {
+        const data = genRegionSales(43);
+        tests.push({
+            title: 'PL: Bar — Horizontal',
+            description: 'Category on y → orientation "h" bar trace.',
+            tags: ['plotly', 'bar', 'horizontal'],
+            chartType: 'Bar Chart',
+            data,
+            fields: [makeField('Region'), makeField('Revenue')],
+            metadata: {
+                Region: { type: Type.String, semanticType: 'Region', levels: [] },
+                Revenue: { type: Type.Number, semanticType: 'Amount', levels: [] },
+            },
+            encodingMap: { x: makeEncodingItem('Revenue'), y: makeEncodingItem('Region') },
+        });
+    }
+
+    {
+        const data = genMonthlySeries(77, ['ProductA', 'ProductB', 'ProductC']);
+        tests.push({
+            title: 'PL: Line — Color Groups',
+            description: 'One trace per series; legend from trace names.',
+            tags: ['plotly', 'line', 'color', 'multi-series'],
+            chartType: 'Line Chart',
+            data,
+            fields: [makeField('Month'), makeField('Value'), makeField('Series')],
+            metadata: {
+                Month: { type: Type.String, semanticType: 'Month', levels: [] },
+                Value: { type: Type.Number, semanticType: 'Amount', levels: [] },
+                Series: { type: Type.String, semanticType: 'Category', levels: [] },
+            },
+            encodingMap: { x: makeEncodingItem('Month'), y: makeEncodingItem('Value'), color: makeEncodingItem('Series') },
+        });
+    }
+
+    {
+        const data = genMonthlySeries(88, ['Web', 'Mobile']);
+        tests.push({
+            title: 'PL: Area — Stacked',
+            description: 'Color groups stack via stackgroup (Plotly-native stacking).',
+            tags: ['plotly', 'area', 'color', 'stacked'],
+            chartType: 'Area Chart',
+            data,
+            fields: [makeField('Month'), makeField('Value'), makeField('Series')],
+            metadata: {
+                Month: { type: Type.String, semanticType: 'Month', levels: [] },
+                Value: { type: Type.Number, semanticType: 'Amount', levels: [] },
+                Series: { type: Type.String, semanticType: 'Category', levels: [] },
+            },
+            encodingMap: { x: makeEncodingItem('Month'), y: makeEncodingItem('Value'), color: makeEncodingItem('Series') },
+        });
+    }
+
+    {
+        const data = genScatterGroups(90, 99);
+        tests.push({
+            title: 'PL: Scatter — Color Groups',
+            description: 'Markers mode, one trace per group, qualitative palette.',
+            tags: ['plotly', 'scatter', 'color', 'multi-series'],
+            chartType: 'Scatter Plot',
+            data,
+            fields: [makeField('X'), makeField('Y'), makeField('Group')],
+            metadata: {
+                X: { type: Type.Number, semanticType: 'Quantity', levels: [] },
+                Y: { type: Type.Number, semanticType: 'Quantity', levels: [] },
+                Group: { type: Type.String, semanticType: 'Category', levels: ['Alpha', 'Beta', 'Gamma'] },
+            },
+            encodingMap: { x: makeEncodingItem('X'), y: makeEncodingItem('Y'), color: makeEncodingItem('Group') },
+        });
+    }
+
+    return tests;
+}
+
+/** Facet grid path: column, row, and column×row subplot grids. */
+export function genPlotlyFacetTests(): TestCase[] {
+    const tests: TestCase[] = [];
+
+    {
+        const data = genQuarterRegion(11);
+        tests.push({
+            title: 'PL: Facet — Column',
+            description: 'Bar per Region column; shared nice y-domain, leftmost-only y labels.',
+            tags: ['plotly', 'facet', 'column', 'bar'],
+            chartType: 'Bar Chart',
+            data,
+            fields: [makeField('Quarter'), makeField('Revenue'), makeField('Region')],
+            metadata: {
+                Quarter: { type: Type.String, semanticType: 'Quarter', levels: [] },
+                Revenue: { type: Type.Number, semanticType: 'Amount', levels: [] },
+                Region: { type: Type.String, semanticType: 'Region', levels: [] },
+            },
+            encodingMap: { x: makeEncodingItem('Quarter'), y: makeEncodingItem('Revenue'), column: makeEncodingItem('Region') },
+        });
+    }
+
+    {
+        const data = genQuarterRegion(22);
+        tests.push({
+            title: 'PL: Facet — Row',
+            description: 'Line per Region row; rotated row headers, x title on bottom row only.',
+            tags: ['plotly', 'facet', 'row', 'line'],
+            chartType: 'Line Chart',
+            data,
+            fields: [makeField('Quarter'), makeField('Revenue'), makeField('Region')],
+            metadata: {
+                Quarter: { type: Type.String, semanticType: 'Quarter', levels: [] },
+                Revenue: { type: Type.Number, semanticType: 'Amount', levels: [] },
+                Region: { type: Type.String, semanticType: 'Region', levels: [] },
+            },
+            encodingMap: { x: makeEncodingItem('Quarter'), y: makeEncodingItem('Revenue'), row: makeEncodingItem('Region') },
+        });
+    }
+
+    {
+        const rand = seededRandom(33);
+        const data: any[] = [];
+        for (const a of ['A', 'B']) {
+            for (const b of ['X', 'Y']) {
+                for (let i = 0; i < 12; i++) {
+                    data.push({
+                        V: Math.round(rand() * 100),
+                        W: Math.round(rand() * 100),
+                        Col: a,
+                        Row: b,
+                    });
+                }
+            }
+        }
+        tests.push({
+            title: 'PL: Facet — Column × Row Grid',
+            description: 'Scatter 2×2 grid; one subplot axis pair per cell.',
+            tags: ['plotly', 'facet', 'grid', 'scatter'],
+            chartType: 'Scatter Plot',
+            data,
+            fields: [makeField('V'), makeField('W'), makeField('Col'), makeField('Row')],
+            metadata: {
+                V: { type: Type.Number, semanticType: 'Quantity', levels: [] },
+                W: { type: Type.Number, semanticType: 'Quantity', levels: [] },
+                Col: { type: Type.String, semanticType: 'Category', levels: [] },
+                Row: { type: Type.String, semanticType: 'Category', levels: [] },
+            },
+            encodingMap: { x: makeEncodingItem('V'), y: makeEncodingItem('W'), column: makeEncodingItem('Col'), row: makeEncodingItem('Row') },
+        });
+    }
+
+    return tests;
+}
diff --git a/packages/flint-js/tests/plotly-backend.test.ts b/packages/flint-js/tests/plotly-backend.test.ts
index bdf64202..324a51f2 100644
--- a/packages/flint-js/tests/plotly-backend.test.ts
+++ b/packages/flint-js/tests/plotly-backend.test.ts
@@ -3,6 +3,7 @@
 
 import { describe, it, expect } from 'vitest';
 import { assemblePlotly, plGetTemplateDef, plAllTemplateDefs } from '../src';
+import { genPlotlyCoreTests, genPlotlyFacetTests } from '../src/test-data';
 
 const SALES = [
   { region: 'East', revenue: 168 },
@@ -112,10 +113,81 @@ describe('Plotly backend', () => {
     expect(fig.data[0].marker.size).toBeGreaterThan(0);
   });
 
-  it('drops unsupported facet channels with a warning instead of throwing', () => {
+  it('column facet: one axis pair per panel, shared nice y-range, headers', () => {
     const fig = assemblePlotly(input('Bar Chart', { x: { field: 'region' }, y: { field: 'revenue' }, column: { field: 'year' } }, GROUPED, { region: 'Region', revenue: 'Amount', year: 'Year' }));
-    expect(fig.data[0].type).toBe('bar');
-    expect(fig._warnings?.some((w: any) => /column/.test(w.message))).toBe(true);
+    expect(fig._facet).toBe(true);
+    expect(fig._facetCols).toBe(2);
+    expect(fig.layout.xaxis2).toBeDefined();
+    expect(fig.layout.yaxis2).toBeDefined();
+    expect(fig.layout.yaxis.range).toEqual(fig.layout.yaxis2.range);
+    expect(fig.layout.yaxis.range[0]).toBe(0); // Amount forces zero into the shared domain
+    expect(fig.layout.yaxis2.showticklabels).toBe(false); // leftmost-only y labels
+    const headerTexts = fig.layout.annotations.map((a: any) => a.text);
+    expect(headerTexts).toContain('2024');
+    expect(headerTexts).toContain('2025');
+    expect(fig.data.every((t: any) => t.xaxis && t.yaxis)).toBe(true);
+  });
+
+  it('row facet: stacked panels with rotated row headers', () => {
+    const fig = assemblePlotly(input('Line Chart', { x: { field: 'region' }, y: { field: 'revenue' }, row: { field: 'year' } }, GROUPED, { region: 'Region', revenue: 'Amount', year: 'Year' }));
+    expect(fig._facet).toBe(true);
+    expect(fig._facetRows).toBe(2);
+    expect(fig._facetCols).toBe(1);
+    const rowHeaders = fig.layout.annotations.filter((a: any) => a.textangle === 90);
+    expect(rowHeaders.map((a: any) => a.text)).toEqual(['2024', '2025']);
+    // x title only on the bottom row
+    expect(fig.layout.xaxis.title).toBeUndefined();
+    expect(fig.layout.xaxis2.title).toBeDefined();
+  });
+
+  it('column+row facet: full grid with one axis pair per cell', () => {
+    const CELLS = [
+      { v: 1, w: 10, a: 'A', b: 'X' }, { v: 2, w: 20, a: 'B', b: 'X' },
+      { v: 3, w: 30, a: 'A', b: 'Y' }, { v: 4, w: 40, a: 'B', b: 'Y' },
+    ];
+    const fig = assemblePlotly(input('Scatter Plot', { x: { field: 'v' }, y: { field: 'w' }, column: { field: 'a' }, row: { field: 'b' } }, CELLS, { v: 'Quantity', w: 'Quantity', a: 'Category', b: 'Category' }));
+    expect(fig._facetRows).toBe(2);
+    expect(fig._facetCols).toBe(2);
+    expect(fig.layout.xaxis4).toBeDefined();
+    expect(fig.layout.yaxis4).toBeDefined();
+  });
+
+  it('facet legend is deduped across panels via legendgroup', () => {
+    const fig = assemblePlotly(input('Line Chart', { x: { field: 'region' }, y: { field: 'revenue' }, color: { field: 'year' }, column: { field: 'year' } }, GROUPED, { region: 'Region', revenue: 'Amount', year: 'Year' }));
+    const shown = fig.data.filter((t: any) => t.showlegend);
+    const names = new Set(fig.data.map((t: any) => t.name));
+    expect(shown.length).toBe(names.size);
+    expect(fig.data.every((t: any) => t.legendgroup === t.name)).toBe(true);
+  });
+
+  it('diverging vs categorical semantics pick different scheme families', () => {
+    const TEMP = [
+      { city: 'Oslo', temp: -6 }, { city: 'Rome', temp: 14 }, { city: 'Cairo', temp: 24 },
+    ];
+    const diverging = assemblePlotly(input('Bar Chart', { x: { field: 'city' }, y: { field: 'temp' }, color: { field: 'temp' } }, TEMP, { city: 'City', temp: 'Temperature' }));
+    const categorical = assemblePlotly(input('Scatter Plot', { x: { field: 'weight' }, y: { field: 'mpg' }, color: { field: 'origin' } }, CARS, { weight: 'Quantity', mpg: 'Quantity', origin: 'Country' }));
+    // Categorical grouping draws from the plotly10 qualitative palette…
+    expect(categorical.data[0].marker.color).toBe('#636efa');
+    // …while a diverging measure on color routes to the RdBu ramp.
+    expect(diverging.data[0].marker.color).toBe('#b2182b');
+  });
+
+  it('every dedicated generator case assembles cleanly', () => {
+    for (const tc of [...genPlotlyCoreTests(), ...genPlotlyFacetTests()]) {
+      const encodings = Object.fromEntries(
+        Object.entries(tc.encodingMap).map(([ch, e]: [string, any]) => [ch, { field: e.fieldID }]),
+      );
+      const semantic_types = Object.fromEntries(
+        Object.entries(tc.metadata).map(([f, m]: [string, any]) => [f, m.semanticType]),
+      );
+      const fig = assemblePlotly({
+        data: { values: tc.data },
+        semantic_types,
+        chart_spec: { chartType: tc.chartType, encodings },
+      } as any);
+      expect(Array.isArray(fig.data), tc.title).toBe(true);
+      expect(fig.data.length, tc.title).toBeGreaterThan(0);
+    }
   });
 
   it('figures are pure JSON for all four templates', () => {
@@ -124,6 +196,7 @@ describe('Plotly backend', () => {
       assemblePlotly(input('Line Chart', { x: { field: 'month' }, y: { field: 'value' } }, MONTHLY, { month: 'YearMonth', value: 'Amount' })),
       assemblePlotly(input('Area Chart', { x: { field: 'region' }, y: { field: 'revenue' }, color: { field: 'year' } }, GROUPED, { region: 'Region', revenue: 'Amount', year: 'Year' })),
       assemblePlotly(input('Scatter Plot', { x: { field: 'weight' }, y: { field: 'mpg' } }, CARS, { weight: 'Quantity', mpg: 'Quantity' })),
+      assemblePlotly(input('Bar Chart', { x: { field: 'region' }, y: { field: 'revenue' }, column: { field: 'year' } }, GROUPED, { region: 'Region', revenue: 'Amount', year: 'Year' })),
     ];
     for (const fig of figures) {
       assertNoFunctions(fig);

From dfbc91edaf52b46959a6d877b4eb7df3eea6d328 Mon Sep 17 00:00:00 2001
From: jason-zl190 
Date: Sat, 18 Jul 2026 23:27:19 +0800
Subject: [PATCH 5/7] chore(deps): keep the lockfile diff plotly-only

Regenerate package-lock.json from origin/dev and re-add just the
plotly entries (plotly.js-dist-min package + site dependency,
plotly.js peerDependency + peerDependenciesMeta), dropping the
unrelated peer-flag churn a full npm install had introduced.

Co-Authored-By: Claude Fable 5 
---
 package-lock.json | 15 +++++++++++++--
 1 file changed, 13 insertions(+), 2 deletions(-)

diff --git a/package-lock.json b/package-lock.json
index 12cd7f8e..a40f3f42 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -9615,7 +9615,8 @@
         "chart.js": "^4.0.0",
         "echarts": "^5.0.0 || ^6.0.0",
         "vega": "^5.0.0 || ^6.0.0",
-        "vega-lite": "^5.0.0 || ^6.0.0"
+        "vega-lite": "^5.0.0 || ^6.0.0",
+        "plotly.js": "^2.0.0 || ^3.0.0"
       },
       "peerDependenciesMeta": {
         "chart.js": {
@@ -9629,6 +9630,9 @@
         },
         "vega-lite": {
           "optional": true
+        },
+        "plotly.js": {
+          "optional": true
         }
       }
     },
@@ -9854,7 +9858,8 @@
         "remark-math": "^6.0.0",
         "vega": "^6.0.0",
         "vega-embed": "^7.1.0",
-        "vega-lite": "^6.4.1"
+        "vega-lite": "^6.4.1",
+        "plotly.js-dist-min": "^2.35.2"
       },
       "devDependencies": {
         "@types/react": "^18.3.0",
@@ -9864,6 +9869,12 @@
         "typescript": "^5.6.0",
         "vite": "^7.3.5"
       }
+    },
+    "node_modules/plotly.js-dist-min": {
+      "version": "2.35.3",
+      "resolved": "https://registry.npmjs.org/plotly.js-dist-min/-/plotly.js-dist-min-2.35.3.tgz",
+      "integrity": "sha512-sz2HLP8gkysLx/BanM2PtJTtZ1PLPwdHwMWNri2YxLBy3IOeuDsVQtlmWa4hoK3j/fi4naaD3uZJqH5ozM3zGg==",
+      "license": "MIT"
     }
   }
 }

From d3b0b432839859f64fdf59507b259f7cd2884834 Mon Sep 17 00:00:00 2001
From: Chenglong Wang 
Date: Tue, 21 Jul 2026 18:39:42 -0700
Subject: [PATCH 6/7] excel backend

---
 .github/release-notes/0.3.0.md                |    39 +-
 docs/README.md                                |    21 +-
 docs/architecture.md                          |    27 +-
 docs/reference-vegalite.md                    |    12 +-
 packages/flint-js/package.json                |     5 +
 packages/flint-js/src/core/filter-overflow.ts |    85 +-
 packages/flint-js/src/docs/README.md          |    21 +-
 packages/flint-js/src/excel/artifact.ts       |   104 +
 packages/flint-js/src/excel/assemble.ts       |   576 +
 packages/flint-js/src/excel/chart-types.ts    |    95 +
 packages/flint-js/src/excel/codegen.ts        |   157 +
 packages/flint-js/src/excel/index.ts          |    52 +
 packages/flint-js/src/excel/runtime.ts        |   195 +
 packages/flint-js/src/excel/templates/area.ts |    13 +
 packages/flint-js/src/excel/templates/bar.ts  |    33 +
 .../flint-js/src/excel/templates/boxplot.ts   |    65 +
 .../src/excel/templates/candlestick.ts        |   107 +
 .../flint-js/src/excel/templates/funnel.ts    |    69 +
 .../flint-js/src/excel/templates/histogram.ts |    80 +
 .../flint-js/src/excel/templates/index.ts     |    49 +
 packages/flint-js/src/excel/templates/line.ts |    19 +
 packages/flint-js/src/excel/templates/pie.ts  |    16 +
 .../flint-js/src/excel/templates/pyramid.ts   |   115 +
 .../flint-js/src/excel/templates/radar.ts     |   111 +
 .../flint-js/src/excel/templates/scatter.ts   |    29 +
 .../flint-js/src/excel/templates/sunburst.ts  |    67 +
 .../flint-js/src/excel/templates/treemap.ts   |    65 +
 .../flint-js/src/excel/templates/types.ts     |    32 +
 .../flint-js/src/excel/templates/waterfall.ts |    68 +
 packages/flint-js/src/excel/types.ts          |   140 +
 packages/flint-js/src/index.ts                |     3 +
 packages/flint-js/src/test-data/index.ts      |     3 +-
 .../src/test-data/specialized-tests.ts        |    14 +-
 .../flint-js/src/vegalite/templates/index.ts  |     4 +-
 .../flint-js/src/vegalite/templates/pie.ts    |     5 +
 packages/flint-js/tests/excel-codegen.test.ts |    61 +
 packages/flint-js/tests/excel-runtime.test.ts |   124 +
 .../flint-js/tests/filter-overflow.test.ts    |    79 +
 .../flint-js/tests/heatmap-colors.test.ts     |    14 +-
 packages/flint-js/tests/smoke.test.ts         |   860 +
 packages/flint-js/tsup.config.ts              |     1 +
 .../flint-py/flint/core/filter_overflow.py    |    68 +-
 .../tests/unit/test_filter_overflow.py        |    74 +
 site/src/components/GalleryOptionsBar.tsx     |     1 +
 site/src/components/SizingPlayground.tsx      |     7 +-
 site/src/components/gallery-options-bar.css   |    50 +-
 site/src/global.css                           |    70 +
 test-harness/excel/.gitignore                 |     6 +
 test-harness/excel/README.md                  |    99 +
 .../excel/evaluations/candlestick-audit.mjs   |   139 +
 .../excel/evaluations/examples/README.md      |    45 +
 .../evaluations/examples/candlestick.png      |   Bin 0 -> 259096 bytes
 .../excel/evaluations/examples/funnel.png     |   Bin 0 -> 122236 bytes
 .../evaluations/examples/grouped-bar.png      |   Bin 0 -> 137107 bytes
 .../examples/multi-series-line.png            |   Bin 0 -> 185835 bytes
 .../excel/evaluations/examples/pyramid.png    |   Bin 0 -> 149610 bytes
 .../excel/evaluations/examples/radar.png      |   Bin 0 -> 222993 bytes
 .../evaluations/examples/stacked-area.png     |   Bin 0 -> 233041 bytes
 .../excel/evaluations/examples/sunburst.png   |   Bin 0 -> 497537 bytes
 .../excel/evaluations/examples/treemap.png    |   Bin 0 -> 168953 bytes
 .../excel/evaluations/gallery-run.mjs         |   112 +
 .../excel/evaluations/gen-gallery-inputs.mjs  |    96 +
 .../inputs/area-chart/00-card30.flint.json    |   141 +
 .../inputs/area-chart/01-card24.flint.json    |   503 +
 .../inputs/area-chart/02-card60.flint.json    |  2423 ++
 .../inputs/area-chart/03-card120.flint.json   |  9023 +++++++
 .../inputs/area-chart/04-card40.flint.json    |   623 +
 .../inputs/area-chart/05-card60.flint.json    |   808 +
 .../inputs/area-chart/06-card5.flint.json     |    41 +
 .../inputs/area-chart/07-card12.flint.json    |   263 +
 .../inputs/area-chart/08-card30.flint.json    |   141 +
 .../inputs/area-chart/09-card30.flint.json    |   141 +
 .../inputs/area-chart/10-card50.flint.json    |   773 +
 .../inputs/area-chart/11-card200.flint.json   |   821 +
 .../inputs/bar-chart/00-card5.flint.json      |    41 +
 .../inputs/bar-chart/01-card20.flint.json     |   101 +
 .../inputs/bar-chart/02-card20.flint.json     |   101 +
 .../inputs/bar-chart/03-card100.flint.json    |   421 +
 .../inputs/bar-chart/04-card5.flint.json      |    98 +
 .../inputs/bar-chart/05-card5.flint.json      |   523 +
 .../inputs/bar-chart/06-card10.flint.json     |    61 +
 .../inputs/bar-chart/07-card96.flint.json     |   421 +
 .../inputs/bar-chart/08-card29.flint.json     |   173 +
 .../inputs/bar-chart/09-card24.flint.json     |   117 +
 .../inputs/bar-chart/10-card100.flint.json    |   421 +
 .../inputs/bar-chart/11-card24.flint.json     |   383 +
 .../inputs/bar-chart/12-card18.flint.json     |    93 +
 .../inputs/bar-chart/13-card53.flint.json     |   293 +
 .../inputs/bar-chart/14-card20.flint.json     |   101 +
 .../inputs/bar-chart/15-card30.flint.json     |   141 +
 .../inputs/bar-chart/16-card5.flint.json      |    89 +
 .../inputs/bar-chart/17-card25.flint.json     |   121 +
 .../inputs/bar-chart/18-card5.flint.json      |    41 +
 .../inputs/boxplot/00-card5.flint.json        |   621 +
 .../inputs/boxplot/01-card5.flint.json        |   421 +
 .../inputs/boxplot/02-card12.flint.json       |  2421 ++
 .../inputs/boxplot/03-card4.flint.json        |  1023 +
 .../inputs/boxplot/04-card6.flint.json        |  2423 ++
 .../inputs/boxplot/05-card8.flint.json        |  3023 +++
 .../inputs/boxplot/06-card6.flint.json        |   742 +
 .../inputs/boxplot/07-card6.flint.json        |  1103 +
 .../inputs/boxplot/08-card6.flint.json        |  1106 +
 .../inputs/boxplot/09-card6.flint.json        |  1106 +
 .../candlestick-chart/00-card30.flint.json    |   237 +
 .../candlestick-chart/01-card90.flint.json    |   657 +
 .../candlestick-chart/02-card20.flint.json    |   167 +
 .../00-card9.flint.json                       |    73 +
 .../01-card21.flint.json                      |   169 +
 .../02-card12.flint.json                      |    83 +
 .../03-card12.flint.json                      |   143 +
 .../04-card15.flint.json                      |   121 +
 .../05-card4.flint.json                       |    43 +
 .../06-card35.flint.json                      |   203 +
 .../07-card24.flint.json                      |   169 +
 .../inputs/donut-chart/00-card0.flint.json    |    40 +
 .../inputs/donut-chart/01-card0.flint.json    |    64 +
 .../inputs/donut-chart/02-card0.flint.json    |   104 +
 .../inputs/donut-chart/03-card0.flint.json    |    48 +
 .../inputs/funnel-chart/00-card5.flint.json   |    41 +
 .../inputs/funnel-chart/01-card5.flint.json   |    44 +
 .../inputs/funnel-chart/02-card8.flint.json   |    53 +
 .../grouped-bar-chart/00-card4.flint.json     |    83 +
 .../grouped-bar-chart/01-card8.flint.json     |    53 +
 .../grouped-bar-chart/02-card90.flint.json    |  1373 ++
 .../grouped-bar-chart/03-card6.flint.json     |   173 +
 .../grouped-bar-chart/04-card12.flint.json    |   203 +
 .../grouped-bar-chart/05-card5.flint.json     |   123 +
 .../grouped-bar-chart/06-card24.flint.json    |   143 +
 .../grouped-bar-chart/07-card30.flint.json    |   173 +
 .../grouped-bar-chart/08-card8.flint.json     |  2023 ++
 .../grouped-bar-chart/09-card5.flint.json     |   273 +
 .../grouped-bar-chart/10-card5.flint.json     |   123 +
 .../grouped-bar-chart/11-card5.flint.json     |    42 +
 .../grouped-bar-chart/12-card6.flint.json     |    93 +
 .../grouped-bar-chart/13-card6.flint.json     |    96 +
 .../grouped-bar-chart/14-card6.flint.json     |    96 +
 .../inputs/heatmap/00-card5.flint.json        |   173 +
 .../inputs/heatmap/01-card10.flint.json       |   423 +
 .../inputs/heatmap/02-card50.flint.json       |  7523 ++++++
 .../inputs/heatmap/03-card12.flint.json       |   383 +
 .../inputs/heatmap/04-card80.flint.json       |  2023 ++
 .../inputs/heatmap/05-card5.flint.json        |  2023 ++
 .../inputs/heatmap/06-card60.flint.json       | 12023 ++++++++++
 .../inputs/heatmap/07-card80.flint.json       |  2023 ++
 .../inputs/heatmap/08-card5.flint.json        |  2023 ++
 .../inputs/histogram/00-card49.flint.json     |   319 +
 .../inputs/histogram/01-card42.flint.json     |   821 +
 .../inputs/histogram/02-card997.flint.json    |  3019 +++
 .../inputs/line-chart/00-card30.flint.json    |   141 +
 .../inputs/line-chart/01-card50.flint.json    |  1023 +
 .../inputs/line-chart/02-card100.flint.json   |  4023 ++++
 .../inputs/line-chart/03-card200.flint.json   | 20023 ++++++++++++++++
 .../inputs/line-chart/04-card60.flint.json    |   733 +
 .../inputs/line-chart/05-card30.flint.json    |   173 +
 .../inputs/line-chart/06-card5.flint.json     |    41 +
 .../inputs/line-chart/07-card12.flint.json    |   263 +
 .../inputs/line-chart/08-card30.flint.json    |   141 +
 .../inputs/line-chart/09-card5.flint.json     |    48 +
 .../inputs/line-chart/10-card5.flint.json     |    41 +
 .../inputs/line-chart/11-card12.flint.json    |   263 +
 .../inputs/line-chart/12-card30.flint.json    |   141 +
 .../inputs/line-chart/13-card30.flint.json    |   141 +
 .../inputs/line-chart/14-card50.flint.json    |   773 +
 .../inputs/line-chart/15-card200.flint.json   |   821 +
 .../inputs/line-chart/16-card16.flint.json    |   108 +
 .../inputs/line-chart/17-card13.flint.json    |   277 +
 .../inputs/pie-chart/00-card0.flint.json      |    37 +
 .../inputs/pie-chart/01-card0.flint.json      |    61 +
 .../inputs/pie-chart/02-card0.flint.json      |   101 +
 .../inputs/pie-chart/03-card0.flint.json      |    45 +
 .../inputs/pyramid-chart/00-card18.flint.json |   113 +
 .../inputs/pyramid-chart/01-card12.flint.json |    83 +
 .../inputs/pyramid-chart/02-card10.flint.json |    73 +
 .../inputs/pyramid-chart/03-card24.flint.json |   143 +
 .../inputs/pyramid-chart/04-card10.flint.json |    73 +
 .../inputs/pyramid-chart/05-card20.flint.json |   123 +
 .../inputs/pyramid-chart/06-card40.flint.json |   223 +
 .../inputs/pyramid-chart/07-card12.flint.json |    83 +
 .../inputs/radar-chart/00-card5.flint.json    |    48 +
 .../inputs/radar-chart/01-card6.flint.json    |    83 +
 .../inputs/radar-chart/02-card5.flint.json    |   101 +
 .../inputs/radar-chart/04-card5.flint.json    |    73 +
 .../inputs/radar-chart/05-card8.flint.json    |   103 +
 .../inputs/radar-chart/06-card12.flint.json   |   203 +
 .../inputs/scatter-plot/00-card20.flint.json  |   101 +
 .../inputs/scatter-plot/01-card20.flint.json  |   123 +
 .../inputs/scatter-plot/02-card20.flint.json  |   123 +
 .../inputs/scatter-plot/03-card30.flint.json  |   173 +
 .../inputs/scatter-plot/04-card47.flint.json  |   273 +
 .../inputs/scatter-plot/05-card20.flint.json  |   123 +
 .../inputs/scatter-plot/06-card15.flint.json  |   115 +
 .../inputs/scatter-plot/07-card30.flint.json  |   205 +
 .../inputs/scatter-plot/08-card20.flint.json  |   145 +
 .../inputs/scatter-plot/09-card91.flint.json  |   421 +
 .../inputs/scatter-plot/10-card395.flint.json |  2021 ++
 .../inputs/scatter-plot/11-card182.flint.json |  1023 +
 .../inputs/scatter-plot/12-card96.flint.json  |   523 +
 .../inputs/scatter-plot/13-card10.flint.json  |    73 +
 .../inputs/scatter-plot/14-card187.flint.json |  1023 +
 .../inputs/scatter-plot/15-card5.flint.json   |   148 +
 .../inputs/scatter-plot/16-card5.flint.json   |   148 +
 .../inputs/scatter-plot/17-card2.flint.json   |   141 +
 .../inputs/scatter-plot/18-card60.flint.json  |   261 +
 .../inputs/scatter-plot/19-card24.flint.json  |   148 +
 .../inputs/scatter-plot/20-card23.flint.json  |   148 +
 .../inputs/scatter-plot/21-card59.flint.json  |   261 +
 .../inputs/scatter-plot/22-card5.flint.json   |   123 +
 .../inputs/scatter-plot/23-card4.flint.json   |    78 +
 .../inputs/scatter-plot/24-card15.flint.json  |   688 +
 .../inputs/scatter-plot/25-card40.flint.json  |   223 +
 .../stacked-bar-chart/00-card4.flint.json     |    83 +
 .../stacked-bar-chart/01-card15.flint.json    |   398 +
 .../stacked-bar-chart/02-card80.flint.json    |  1223 +
 .../stacked-bar-chart/03-card6.flint.json     |   143 +
 .../stacked-bar-chart/04-card5.flint.json     |   773 +
 .../stacked-bar-chart/05-card10.flint.json    |   173 +
 .../stacked-bar-chart/06-card20.flint.json    |   423 +
 .../stacked-bar-chart/07-card10.flint.json    |   173 +
 .../stacked-bar-chart/08-card23.flint.json    |   143 +
 .../stacked-bar-chart/09-card43.flint.json    |   248 +
 .../stacked-bar-chart/10-card5.flint.json     |    93 +
 .../inputs/sunburst-chart/00-card0.flint.json |    45 +
 .../inputs/sunburst-chart/01-card0.flint.json |    73 +
 .../inputs/sunburst-chart/02-card0.flint.json |   103 +
 .../inputs/treemap/00-card0.flint.json        |    45 +
 .../inputs/treemap/01-card0.flint.json        |    83 +
 .../inputs/treemap/02-card0.flint.json        |    81 +
 .../waterfall-chart/00-card6.flint.json       |    45 +
 .../waterfall-chart/01-card7.flint.json       |    58 +
 .../waterfall-chart/02-card7.flint.json       |    49 +
 .../waterfall-chart/03-card14.flint.json      |    93 +
 .../waterfall-chart/04-card4.flint.json       |    37 +
 .../excel/evaluations/inspection-list.md      |   332 +
 .../excel/evaluations/layout-facet-audit.mjs  |   337 +
 .../excel/evaluations/make-audit-sheets.mjs   |   185 +
 .../excel/evaluations/render-client.mjs       |    80 +
 .../excel/evaluations/update-examples.mjs     |    30 +
 .../excel/office-runner/officejs/icon-16.png  |   Bin 0 -> 198 bytes
 .../excel/office-runner/officejs/icon-32.png  |   Bin 0 -> 222 bytes
 .../excel/office-runner/officejs/icon-80.png  |   Bin 0 -> 454 bytes
 .../excel/office-runner/officejs/icon.svg     |     8 +
 .../excel/office-runner/officejs/manifest.xml |    93 +
 .../office-runner/officejs/taskpane.html      |    87 +
 .../excel/office-runner/officejs/taskpane.js  |   126 +
 test-harness/excel/office-runner/server.mjs   |   345 +
 test-harness/excel/package.json               |    20 +
 test-harness/excel/tsconfig.json              |    19 +
 247 files changed, 123963 insertions(+), 196 deletions(-)
 create mode 100644 packages/flint-js/src/excel/artifact.ts
 create mode 100644 packages/flint-js/src/excel/assemble.ts
 create mode 100644 packages/flint-js/src/excel/chart-types.ts
 create mode 100644 packages/flint-js/src/excel/codegen.ts
 create mode 100644 packages/flint-js/src/excel/index.ts
 create mode 100644 packages/flint-js/src/excel/runtime.ts
 create mode 100644 packages/flint-js/src/excel/templates/area.ts
 create mode 100644 packages/flint-js/src/excel/templates/bar.ts
 create mode 100644 packages/flint-js/src/excel/templates/boxplot.ts
 create mode 100644 packages/flint-js/src/excel/templates/candlestick.ts
 create mode 100644 packages/flint-js/src/excel/templates/funnel.ts
 create mode 100644 packages/flint-js/src/excel/templates/histogram.ts
 create mode 100644 packages/flint-js/src/excel/templates/index.ts
 create mode 100644 packages/flint-js/src/excel/templates/line.ts
 create mode 100644 packages/flint-js/src/excel/templates/pie.ts
 create mode 100644 packages/flint-js/src/excel/templates/pyramid.ts
 create mode 100644 packages/flint-js/src/excel/templates/radar.ts
 create mode 100644 packages/flint-js/src/excel/templates/scatter.ts
 create mode 100644 packages/flint-js/src/excel/templates/sunburst.ts
 create mode 100644 packages/flint-js/src/excel/templates/treemap.ts
 create mode 100644 packages/flint-js/src/excel/templates/types.ts
 create mode 100644 packages/flint-js/src/excel/templates/waterfall.ts
 create mode 100644 packages/flint-js/src/excel/types.ts
 create mode 100644 packages/flint-js/tests/excel-codegen.test.ts
 create mode 100644 packages/flint-js/tests/excel-runtime.test.ts
 create mode 100644 packages/flint-js/tests/filter-overflow.test.ts
 create mode 100644 packages/flint-py/tests/unit/test_filter_overflow.py
 create mode 100644 test-harness/excel/.gitignore
 create mode 100644 test-harness/excel/README.md
 create mode 100644 test-harness/excel/evaluations/candlestick-audit.mjs
 create mode 100644 test-harness/excel/evaluations/examples/README.md
 create mode 100644 test-harness/excel/evaluations/examples/candlestick.png
 create mode 100644 test-harness/excel/evaluations/examples/funnel.png
 create mode 100644 test-harness/excel/evaluations/examples/grouped-bar.png
 create mode 100644 test-harness/excel/evaluations/examples/multi-series-line.png
 create mode 100644 test-harness/excel/evaluations/examples/pyramid.png
 create mode 100644 test-harness/excel/evaluations/examples/radar.png
 create mode 100644 test-harness/excel/evaluations/examples/stacked-area.png
 create mode 100644 test-harness/excel/evaluations/examples/sunburst.png
 create mode 100644 test-harness/excel/evaluations/examples/treemap.png
 create mode 100644 test-harness/excel/evaluations/gallery-run.mjs
 create mode 100644 test-harness/excel/evaluations/gen-gallery-inputs.mjs
 create mode 100644 test-harness/excel/evaluations/inputs/area-chart/00-card30.flint.json
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diff --git a/.github/release-notes/0.3.0.md b/.github/release-notes/0.3.0.md
index 5945c154..7639ffd4 100644
--- a/.github/release-notes/0.3.0.md
+++ b/.github/release-notes/0.3.0.md
@@ -1,43 +1,30 @@
-# Flint 0.3
+Flint 0.3 makes charts easier to explore after they are created. The MCP App can now switch chart types and edit chart properties in place, while the original Flint spec stays compact and readable.
 
-Flint 0.3 makes charts easier to explore after they are created. The MCP App can
-now switch between compatible chart types and edit chart properties in place,
-while keeping the original Flint spec compact and readable.
+### Explore chart types
 
-## Explore chart types
-
-Move between compatible views without asking the agent to rebuild the chart.
-Flint preserves the data roles and derives the details needed by the new chart
-type.
+Move between compatible views without rebuilding the chart. For example, turn a dense Line Chart of food prices into compact Sparkline rows for easier comparison. Flint preserves the data roles and derives the details for the new chart type.
 
 Switching a line chart to a Sparkline in the Flint MCP App
 
-## Edit chart properties
+### Edit chart properties
 
-Common chart properties are available directly in the widget. Changes are
-immediate, and the available controls follow the selected chart and backend.
+Edit common properties directly in the widget. For example, turn labels on in a correlation heatmap to reveal the value in every cell. Controls adapt to the selected chart and backend, and changes appear immediately.
 
 Turning labels on for a heatmap in the Flint MCP App
 
-## Flint in Chinese
+### Flint in Chinese
 
-The website and documentation are now available in Chinese, including guides for
-getting started, authoring charts, and extending Flint.
+The website and documentation are now available in Chinese, including guides for getting started, authoring charts, and extending Flint.
 
 The Chinese Flint website and documentation
 
-## Smaller updates
+### Also in 0.3
 
 - Added backend-neutral chart recommendations and chart transformations.
-- Improved sparse area charts, grouped bars, boxplots, Gantt charts, and
-  Waterfall charts across supported backends.
-- Improved semantic formatting for axes, aggregates, and Sparkline averages.
-- Sparklines now self-scale each row and no longer expose a shared-Y option.
-- Added PNG copy, download, and reset actions to the MCP App.
-- Expanded chart-property guidance in the bundled agent skill and reference
-  documentation.
-
-See the [changelog](https://github.com/microsoft/flint-chart/blob/main/CHANGELOG.md#030---2026-07-19)
-for migration notes and the complete technical summary.
+- Improved sparse areas, grouped bars, boxplots, Gantt charts, and Waterfall charts across backends.
+- Improved semantic formatting and made Sparkline rows self-scale by default.
+- Added PNG copy, download, and reset actions, plus expanded agent guidance.
+
+See the [changelog](https://github.com/microsoft/flint-chart/blob/main/CHANGELOG.md#030---2026-07-19) for migration notes and the complete technical summary.
 
 **Full Changelog**: https://github.com/microsoft/flint-chart/compare/0.2.1...0.3.0
\ No newline at end of file
diff --git a/docs/README.md b/docs/README.md
index fbcf3cc7..9002ee4a 100644
--- a/docs/README.md
+++ b/docs/README.md
@@ -851,9 +851,9 @@ interface ChartTemplateDef {
 
 ### `OverflowStrategy`
 
-Customizable per-template. The default strategy in `filter-overflow.ts` handles:
-connected marks (keep all for continuity), user sorts, auto-sorts,
-bar sum-aggregate, numeric sort, first-N.
+Customizable per-template. The default strategy in `filter-overflow.ts` keeps
+the first values in the selected display order: explicit user sort, canonical
+semantic order, numeric order, then data encounter order.
 
 ```typescript
 type OverflowStrategy = (
@@ -1009,13 +1009,14 @@ When discrete channels overflow the canvas budget, the library:
    count, placeholder string
 5. Emits `ChartWarning` for the UI
 
-The default overflow strategy priority:
-1. Connected marks (line, area) → keep all (truncation breaks continuity)
-2. User-specified sort → keep top/bottom N by sort order
-3. Quantitative opposite axis → sort by opposite, keep top N
-4. Bar with count aggregate → sum-aggregate and keep top N
-5. Numeric field → numeric sort, keep first N
-6. Fallback → keep first N in data order
+The default overflow strategy follows the chart's display order:
+1. User-specified sort → keep the first N values in that order
+2. Canonical semantic order (months, ranks, quarters, etc.) → keep the first N
+3. Numeric discrete field → numeric ascending, keep the first N
+4. Fallback → keep the first N in data encounter order
+
+Overflow does not introduce a measure-based top-N ranking. Select an explicit
+value sort when the largest or smallest categories should be retained.
 
 ---
 
diff --git a/docs/architecture.md b/docs/architecture.md
index efa192cf..dd11bf70 100644
--- a/docs/architecture.md
+++ b/docs/architecture.md
@@ -39,10 +39,10 @@ Most design logic lives in Stages 1–2 and is identical across backends.
 |-------|------------|----------------|-------------|
 | **1. Compiler frontend** | Resolve semantic context | Phase 0 — `resolveChannelSemantics()` | `ChannelSemantics` per channel |
 | **2. Optimizer** | Fit layout to canvas | Phase 1 — `computeLayout()`, `filterOverflow()` | `LayoutResult`, truncated data |
-| **3. Code generator** | Emit library-native spec | Phase 2 — `build*Encodings()`, `template.instantiate()` | VL / EC / CJS spec |
+| **3. Code generator** | Emit backend-native output | Phase 2 — `build*Encodings()`, `template.instantiate()` | VL / EC / CJS spec or Office.js program |
 
 ```text
-assembleVegaLite(input)   // or assembleECharts, assembleChartjs
+assembleVegaLite(input)   // or assembleECharts, assembleChartjs, assembleExcel
        │
        ▼
 ══ STAGE 1 — COMPILER FRONTEND (core/) ═════════════════════════
@@ -150,6 +150,27 @@ Registries: `vlTemplateDefs`, `ecTemplateDefs`, `cjsTemplateDefs`. Lookup: `vlGe
 
 New backends implement Stage 3 only; the frontend and optimizer stay unchanged. See [Extending backends](/documentation/adding-a-backend).
 
+### Excel backend
+
+Excel is a Stage 3 backend in `packages/flint-js`, parallel to Vega-Lite, ECharts, and Chart.js. It is not a separate package or an additional architectural layer.
+
+Office.js is imperative and requires an Excel host, so the backend first builds a typed native-chart artifact (`ExcelNativeChartSpec`) containing the worksheet matrix, native chart type, series bindings, dimensions, axes, labels, legend, and formatting. This versioned artifact is the contract between compilation and execution.
+
+The native-chart plan is an intermediate representation of the Excel backend, not a second user-authored chart specification. Callers continue to author the same semantic Flint input used by every backend:
+
+```text
+semantic Flint input
+       │
+       ▼
+assembleExcel() → ExcelNativeChartSpec
+                      │
+                      ├── renderExcelChart(Excel, artifact) → native Excel chart
+                      │
+                      └── generateOfficeJs(artifact) → standalone Office.js source
+```
+
+The normal add-in path transports the artifact and passes it, with the live Excel host, to `renderExcelChart()`. `generateOfficeJs()` is an optional projection for callers that need portable Office.js source; it is not a second contract or a required step in rendering. Host concerns such as worksheet selection, image capture, and process lifecycle stay outside compilation. Test harnesses may provide those host services, but they do not define Excel chart semantics.
+
 ---
 
 # §6 Inputs
@@ -178,9 +199,11 @@ packages/flint-js/src/
 ├── vegalite/       Stage 3 — Vega-Lite templates + assembleVegaLite
 ├── echarts/        Stage 3 — ECharts templates + assembleECharts
 ├── chartjs/        Stage 3 — Chart.js templates + assembleChartjs
+├── excel/          Stage 3 — native Excel chart planning + Office.js generation
 └── test-data/      gallery fixtures (TEST_GENERATORS)
 
 packages/flint-py/  Python port preview (package planned later)
+test-harness/excel/ Office.js runner + visual evaluations of Excel artifacts
 site/               demo site (gallery, editor, documentation)
 ```
 
diff --git a/docs/reference-vegalite.md b/docs/reference-vegalite.md
index 574c4acc..75f12e48 100644
--- a/docs/reference-vegalite.md
+++ b/docs/reference-vegalite.md
@@ -6,7 +6,7 @@ The Vega-Lite backend serves as Flint's reference implementation and offers the
 
 ## What this page covers
 
-This reference lists the 34 chart types currently supported by the Vega-Lite backend, grouped into 6 categories. Each chart entry shows:
+This reference lists the 35 chart types currently supported by the Vega-Lite backend, grouped into 6 categories. Each chart entry shows:
 
 - **Encoding channels** — the visual roles accepted in `chart_spec.encodings`, such as `x`, `y`, `color`, `size`, `column`, or `row`.
 - **Options** — template-specific `chart_spec.chartProperties` keys, including control type, domain, default, availability, and description.
@@ -345,6 +345,16 @@ _No template-specific parameters._
 | `sortSlices` | choice | `none` (Data order), `descending` (Largest first), `ascending` (Smallest first) | `none` | always | Sort slices |
 | `independentYAxis` | toggle | on / off | `false` | conditional | Use independent y-scales for facets. |
 
+### Donut Chart
+
+**Encoding channels:** `size`, `color`, `column`, `row`
+
+| Parameter | Control | Domain | Default | Availability | Description |
+|---|---|---|---|---|---|
+| `innerRadius` | number | 0 – 100 (step 5) | `0` | always | Inner radius as a percentage of the outer radius. |
+| `sortSlices` | choice | `none` (Data order), `descending` (Largest first), `ascending` (Smallest first) | `none` | always | Sort slices |
+| `independentYAxis` | toggle | on / off | `false` | conditional | Use independent y-scales for facets. |
+
 ### ![](chart-icon-rose.svg) Rose Chart
 
 **Encoding channels:** `x`, `y`, `color`, `column`, `row`
diff --git a/packages/flint-js/package.json b/packages/flint-js/package.json
index f19123cd..63c8ff84 100644
--- a/packages/flint-js/package.json
+++ b/packages/flint-js/package.json
@@ -55,6 +55,11 @@
       "import": "./dist/chartjs/index.js",
       "require": "./dist/chartjs/index.cjs"
     },
+    "./excel": {
+      "types": "./dist/excel/index.d.ts",
+      "import": "./dist/excel/index.js",
+      "require": "./dist/excel/index.cjs"
+    },
     "./test-data": {
       "types": "./dist/test-data/index.d.ts",
       "import": "./dist/test-data/index.js",
diff --git a/packages/flint-js/src/core/filter-overflow.ts b/packages/flint-js/src/core/filter-overflow.ts
index fee7c815..39cd07b1 100644
--- a/packages/flint-js/src/core/filter-overflow.ts
+++ b/packages/flint-js/src/core/filter-overflow.ts
@@ -145,7 +145,7 @@ export function filterOverflow(
             warnings.push({
                 severity: 'warning',
                 code: 'overflow',
-                message: `${omittedCount} of ${uniqueValues.length} values in '${fieldName}' were omitted (showing top ${valuesToKeep.length}).`,
+                message: `${omittedCount} of ${uniqueValues.length} values in '${fieldName}' were omitted (showing first ${valuesToKeep.length} in sort order).`,
                 channel,
                 field: fieldName,
             });
@@ -153,7 +153,7 @@ export function filterOverflow(
             truncations.push({
                 severity: 'warning',
                 code: 'overflow',
-                message: `${omittedCount} of ${uniqueValues.length} values in '${fieldName}' were omitted (showing top ${valuesToKeep.length}).`,
+                message: `${omittedCount} of ${uniqueValues.length} values in '${fieldName}' were omitted (showing first ${valuesToKeep.length} in sort order).`,
                 channel,
                 field: fieldName,
                 keptValues: valuesToKeep,
@@ -178,19 +178,16 @@ export function filterOverflow(
 /**
  * Default overflow strategy: decides which discrete values to keep.
  *
- * - Connected marks (line/area/trail): preserve natural order (first N)
  * - User-specified sort: respect it
- * - Auto-sort: sort by quantitative opposite axis or color, keep top N
- * - Bar charts: sum-aggregate for sort (total bar height matters)
+ * - Canonical semantic order (months, ranks, etc.): keep the first N
+ * - Numeric categories: keep the first N numerically
+ * - Otherwise preserve data encounter order
  */
 const defaultOverflowStrategy: OverflowStrategy = (
     channel, fieldName, uniqueValues, maxToKeep, context,
 ) => {
     const { data, channelSemantics, encodings, allMarkTypes } = context;
 
-    // Connected marks need chronological/natural order preserved
-    const hasConnectedMark = allMarkTypes.has('line') || allMarkTypes.has('area') || allMarkTypes.has('trail');
-
     // Determine sort intent from user encodings
     const encoding = encodings[channel];
     const sortBy = encoding?.sortBy;
@@ -199,7 +196,7 @@ const defaultOverflowStrategy: OverflowStrategy = (
     // Infer sort field and direction
     let sortField: string | undefined;
     let sortFieldType: string | undefined;
-    let isDescending = true;
+    let isDescending = false;
 
     if (sortBy) {
         // User explicitly specified sort
@@ -221,46 +218,10 @@ const defaultOverflowStrategy: OverflowStrategy = (
             }
             isDescending = sortOrder === 'descending';
         }
-    } else {
-        // Auto-detect sort: quantitative opposite axis or quantitative color
-        const oppositeChannel = channel === 'x' ? 'y' : channel === 'y' ? 'x' : undefined;
-
-        const colorCS = channelSemantics.color;
-        const oppositeCS = oppositeChannel ? channelSemantics[oppositeChannel] : undefined;
-
-        // For rect marks (heatmaps), color is the primary value — don't auto-sort by it
-        const markType = allMarkTypes.has('rect') ? 'rect' : undefined;
-        if (markType !== 'rect' && colorCS?.type === 'quantitative') {
-            sortField = colorCS.field;
-            sortFieldType = colorCS.type;
-        } else if (oppositeCS?.type === 'quantitative') {
-            sortField = oppositeCS.field;
-            sortFieldType = oppositeCS.type;
-        } else {
-            isDescending = false;
-        }
-    }
-
-    // For quantitative field values treated as nominal, sort numerically
-    const fieldOriginalType = inferVisCategory(data.map(r => r[fieldName]));
-    if (fieldOriginalType === 'quantitative' || channel === 'color') {
-        return uniqueValues.sort((a, b) => a - b)
-            .slice(0, maxToKeep);
     }
 
-    // Facet channels: first N
-    if (channel === 'column' || channel === 'row') {
-        return uniqueValues.slice(0, maxToKeep);
-    }
-
-    // Connected marks: preserve natural order
-    if (hasConnectedMark) {
-        return uniqueValues.slice(0, maxToKeep);
-    }
-
-    // Sort by aggregate of the quantitative sort field
+    // Explicit value sort takes precedence over the category field's own type.
     if (sortField && sortFieldType === 'quantitative') {
-        // Bar charts: sum aggregate (total bar height). Others: max.
         let aggregateOp = Math.max;
         let initialValue = -Infinity;
         if (allMarkTypes.has('bar') && sortField !== channelSemantics.color?.field) {
@@ -268,10 +229,10 @@ const defaultOverflowStrategy: OverflowStrategy = (
             initialValue = 0;
         }
 
-        const valueAggregates = new Map();
+        const valueAggregates = new Map();
         for (const row of data) {
             const fieldValue = row[fieldName];
-            const sortValue = row[sortField] || 0;
+            const sortValue = Number(row[sortField] ?? 0);
             if (valueAggregates.has(fieldValue)) {
                 valueAggregates.set(fieldValue, aggregateOp(valueAggregates.get(fieldValue)!, sortValue));
             } else {
@@ -286,9 +247,33 @@ const defaultOverflowStrategy: OverflowStrategy = (
             .map(v => v.value);
     }
 
-    // Descending explicit sort: reverse then take first N
+    const canonicalOrder = channelSemantics[channel]?.ordinalSortOrder;
+    if (!sortBy && !sortOrder && canonicalOrder?.length) {
+        const present = new Set(uniqueValues);
+        const ordered = canonicalOrder.filter(value => present.has(value));
+        const canonicalValues = new Set(ordered);
+        ordered.push(...uniqueValues.filter(value => !canonicalValues.has(value)));
+        return ordered.slice(0, maxToKeep);
+    }
+
+    // Match the display default for quantitative values treated as discrete.
+    const fieldOriginalType = inferVisCategory(data.map(r => r[fieldName]));
+    if (fieldOriginalType === 'quantitative' || channel === 'color') {
+        return [...uniqueValues].sort((a, b) => Number(a) - Number(b))
+            .slice(0, maxToKeep);
+    }
+
+    // Facet channels: first N
+    if (channel === 'column' || channel === 'row') {
+        return uniqueValues.slice(0, maxToKeep);
+    }
+
+    // Explicit field-order sort follows the displayed label order.
     if (sortOrder === 'descending') {
-        return uniqueValues.reverse().slice(0, maxToKeep);
+        return [...uniqueValues].sort((a, b) => String(b).localeCompare(String(a), undefined, { numeric: true })).slice(0, maxToKeep);
+    }
+    if (sortOrder === 'ascending') {
+        return [...uniqueValues].sort((a, b) => String(a).localeCompare(String(b), undefined, { numeric: true })).slice(0, maxToKeep);
     }
 
     // Default: first N values
diff --git a/packages/flint-js/src/docs/README.md b/packages/flint-js/src/docs/README.md
index 3af97308..8a3140a2 100644
--- a/packages/flint-js/src/docs/README.md
+++ b/packages/flint-js/src/docs/README.md
@@ -851,9 +851,9 @@ interface ChartTemplateDef {
 
 ### `OverflowStrategy`
 
-Customizable per-template. The default strategy in `filter-overflow.ts` handles:
-connected marks (keep all for continuity), user sorts, auto-sorts,
-bar sum-aggregate, numeric sort, first-N.
+Customizable per-template. The default strategy in `filter-overflow.ts` keeps
+the first values in the selected display order: explicit user sort, canonical
+semantic order, numeric order, then data encounter order.
 
 ```typescript
 type OverflowStrategy = (
@@ -1013,13 +1013,14 @@ When discrete channels overflow the canvas budget, the library:
    count, placeholder string
 5. Emits `ChartWarning` for the UI
 
-The default overflow strategy priority:
-1. Connected marks (line, area) → keep all (truncation breaks continuity)
-2. User-specified sort → keep top/bottom N by sort order
-3. Quantitative opposite axis → sort by opposite, keep top N
-4. Bar with count aggregate → sum-aggregate and keep top N
-5. Numeric field → numeric sort, keep first N
-6. Fallback → keep first N in data order
+The default overflow strategy follows the chart's display order:
+1. User-specified sort → keep the first N values in that order
+2. Canonical semantic order (months, ranks, quarters, etc.) → keep the first N
+3. Numeric discrete field → numeric ascending, keep the first N
+4. Fallback → keep the first N in data encounter order
+
+Overflow does not introduce a measure-based top-N ranking. Select an explicit
+value sort when the largest or smallest categories should be retained.
 
 ---
 
diff --git a/packages/flint-js/src/excel/artifact.ts b/packages/flint-js/src/excel/artifact.ts
new file mode 100644
index 00000000..728cf0ed
--- /dev/null
+++ b/packages/flint-js/src/excel/artifact.ts
@@ -0,0 +1,104 @@
+import type { ExcelNativeChartSpec } from './types';
+
+export const EXCEL_ARTIFACT_SCHEMA = 'flint.excel.chart/v1' as const;
+
+export const SUPPORTED_EXCEL_CHART_TYPES = [
+    'Area',
+    'AreaStacked',
+    'BarClustered',
+    'BarStacked',
+    'BoxWhisker',
+    'Bubble',
+    'ColumnClustered',
+    'ColumnStacked',
+    'Doughnut',
+    'Funnel',
+    'Line',
+    'Pie',
+    'RadarMarkers',
+    'StockOHLC',
+    'Sunburst',
+    'Treemap',
+    'Waterfall',
+    'XYScatter',
+    'XYScatterLines',
+] as const;
+
+const supportedChartTypes = new Set(SUPPORTED_EXCEL_CHART_TYPES);
+
+export interface PreparedExcelArtifact {
+    spec: ExcelNativeChartSpec;
+    data: Array>;
+    rows: number;
+    columns: number;
+    rangeA1: string;
+    chartType: string;
+    numericAxis: boolean;
+    dateAxis: boolean;
+    hasAxes: boolean;
+    isBar: boolean;
+    isLine: boolean;
+    seriesCount: number;
+}
+
+export function excelColumnLetter(index: number): string {
+    if (!Number.isInteger(index) || index < 0) {
+        throw new Error('Column index must be a non-negative integer.');
+    }
+    let result = '';
+    let remaining = index + 1;
+    while (remaining > 0) {
+        const digit = (remaining - 1) % 26;
+        result = String.fromCharCode(65 + digit) + result;
+        remaining = Math.floor((remaining - 1) / 26);
+    }
+    return result;
+}
+
+export function prepareExcelArtifact(value: unknown): PreparedExcelArtifact {
+    if (!value || typeof value !== 'object') {
+        throw new Error('Excel artifact must be an object.');
+    }
+    const spec = value as Partial;
+    if (spec.schema !== EXCEL_ARTIFACT_SCHEMA || spec.kind !== 'chart') {
+        throw new Error(`Expected a ${EXCEL_ARTIFACT_SCHEMA} chart artifact.`);
+    }
+    const chartType = spec.chartType;
+    if (typeof chartType !== 'string' || !supportedChartTypes.has(chartType)) {
+        throw new Error(`Unsupported Excel chart type: ${String(spec.chartType)}.`);
+    }
+    if (spec.seriesBy !== 'Columns' && spec.seriesBy !== 'Rows') {
+        throw new Error('Excel artifact seriesBy must be Columns or Rows.');
+    }
+    if (!Array.isArray(spec.data) || spec.data.length < 2 || spec.data.some((row) => !Array.isArray(row))) {
+        throw new Error('Excel artifact data must contain a header and at least one data row.');
+    }
+    const columns = Math.max(...spec.data.map((row) => row.length));
+    if (columns < 2) {
+        throw new Error('Excel artifact data must contain at least two columns.');
+    }
+    const rows = spec.data.length;
+    const data = spec.data.map((row) => {
+        const padded = row.slice();
+        while (padded.length < columns) padded.push(null);
+        return padded;
+    });
+    const seriesCount = /Treemap|Sunburst/i.test(chartType)
+        ? 1
+        : spec.series?.length ?? (spec.seriesBy === 'Rows' ? rows - 1 : columns - 1);
+
+    return {
+        spec: spec as ExcelNativeChartSpec,
+        data,
+        rows,
+        columns,
+        rangeA1: `A1:${excelColumnLetter(columns - 1)}${rows}`,
+        chartType,
+        numericAxis: /XYScatter|Bubble/i.test(chartType),
+        dateAxis: /Stock/i.test(chartType),
+        hasAxes: !/Pie|Doughnut|Treemap|Sunburst|Funnel/i.test(chartType),
+        isBar: /Bar|Column/i.test(chartType),
+        isLine: /Line/i.test(chartType),
+        seriesCount,
+    };
+}
diff --git a/packages/flint-js/src/excel/assemble.ts b/packages/flint-js/src/excel/assemble.ts
new file mode 100644
index 00000000..de1b538d
--- /dev/null
+++ b/packages/flint-js/src/excel/assemble.ts
@@ -0,0 +1,576 @@
+// Copyright (c) Microsoft Corporation.
+// Licensed under the MIT License.
+
+/**
+ * Excel chart assembly — Stage-3 code generator for Office.js Excel charts.
+ *
+ * Reuses the SAME core analysis pipeline as the other backends:
+ *   Phase 0:  convertTemporalData + resolveChannelSemantics → ChannelSemantics
+ *             (this decides each channel's role: quantitative = MEASURE,
+ *              nominal/ordinal/temporal = CATEGORY — no heuristics)
+ *   Stage 3:  pivot the long/tidy rows into Excel's WIDE matrix and emit an
+ *             ExcelChartSpec (native Office.js chart description).
+ *
+ * Excel charts consume a rectangular range (`charts.add(type, range, seriesBy)`),
+ * so the long/tidy data is pivoted: category field → first column, series field
+ * → series columns, measure → cells. Visual STYLE stays native to Excel (its
+ * own palette/gridlines); only Flint's LAYOUT decisions (which field is the
+ * category, number format, legend, orientation) are carried over.
+ */
+
+import type {
+    ChartAssemblyInput,
+    ChartEncoding,
+    ChartWarning,
+    LayoutDeclaration,
+    SemanticResult,
+} from '../core/types';
+import { resolveChannelSemantics, convertTemporalData } from '../core/resolve-semantics';
+import { detectBandedAxisFromSemantics } from '../core/axis-detection';
+import { computeChannelBudgets, deriveStretchCaps, resolveBaseSize } from '../core/compute-layout';
+import { filterOverflow } from '../core/filter-overflow';
+import { formatSpecToExcel } from './chart-types';
+import { excelGetTemplateDef } from './templates';
+import type {
+    ExcelAxisSpec,
+    ExcelChartSpec,
+    ExcelNativeChartSpec,
+    ExcelNativeSeriesSpec,
+    ExcelSeriesBy,
+} from './types';
+
+type Cell = string | number | null;
+
+const EXCEL_SERIES_COLORS = ['#4472C4', '#ED7D31', '#70AD47', '#FFC000', '#5B9BD5', '#A5A5A5'];
+
+function niceStep(span: number, targetTicks = 5): number {
+    if (!(span > 0)) return 1;
+    const rough = span / targetTicks;
+    const power = 10 ** Math.floor(Math.log10(rough));
+    const fraction = rough / power;
+    const niceFraction = fraction <= 1 ? 1 : fraction <= 2 ? 2 : fraction <= 5 ? 5 : 10;
+    return niceFraction * power;
+}
+
+function focusedNumericAxis(values: number[]): Partial> {
+    const finite = values.filter(Number.isFinite);
+    if (finite.length === 0) return {};
+    const dataMinimum = Math.min(...finite);
+    const dataMaximum = Math.max(...finite);
+    const dataSpan = dataMaximum - dataMinimum;
+    const referenceSpan = dataSpan > 0 ? dataSpan : Math.max(1, Math.abs(dataMaximum) * 0.1);
+    const majorUnit = niceStep(referenceSpan);
+    const precision = 10 ** Math.max(0, -Math.floor(Math.log10(majorUnit)) + 1);
+    const round = (value: number) => Math.round(value * precision) / precision;
+    if (dataSpan === 0) {
+        return {
+            minimumScale: round(dataMinimum - majorUnit),
+            maximumScale: round(dataMaximum + majorUnit),
+            majorUnit,
+        };
+    }
+    const onMajorTick = (value: number) => Math.abs(value / majorUnit - Math.round(value / majorUnit)) < 1e-9;
+    const minimumScale = dataMinimum >= 0 && dataMinimum <= referenceSpan * 0.1
+        ? 0
+        : round(Math.floor(dataMinimum / majorUnit) * majorUnit);
+    const nextMajorTick = Math.ceil(dataMaximum / majorUnit) * majorUnit;
+    const maximumScale = onMajorTick(dataMaximum)
+        ? dataMaximum + majorUnit * 0.25
+        : nextMajorTick;
+    return {
+        minimumScale,
+        maximumScale: round(maximumScale),
+        majorUnit,
+    };
+}
+
+function temporalLabelSpacing(categoryCount: number, width: number): number | undefined {
+    const labelBudget = Math.max(12, Math.floor((width - 90) / 14));
+    return categoryCount > labelBudget ? Math.ceil(categoryCount / labelBudget) : undefined;
+}
+
+/** Normalize shorthand (`"x": "field"`) to `{ field }`. */
+function normalizeEncodings(
+    raw: Record,
+): Record {
+    const out: Record = {};
+    for (const [ch, v] of Object.entries(raw ?? {})) {
+        if (v == null) continue;
+        out[ch] = typeof v === 'string' ? { field: v } : (v as ChartEncoding);
+    }
+    return out;
+}
+
+/** Distinct values of a field, first-seen order. */
+function distinct(rows: any[], field: string): Cell[] {
+    const seen = new Set();
+    const out: Cell[] = [];
+    for (const r of rows) {
+        const v = r[field];
+        if (!seen.has(v)) { seen.add(v); out.push(v as Cell); }
+    }
+    return out;
+}
+
+function interpolateMissing(values: Cell[]): Cell[] {
+    const output = [...values];
+    for (let index = 0; index < output.length; index += 1) {
+        if (output[index] != null) continue;
+        let previous = index - 1;
+        let next = index + 1;
+        while (previous >= 0 && output[previous] == null) previous -= 1;
+        while (next < output.length && output[next] == null) next += 1;
+        if (previous < 0 || next >= output.length) continue;
+        const start = Number(output[previous]);
+        const end = Number(output[next]);
+        if (!Number.isFinite(start) || !Number.isFinite(end)) continue;
+        output[index] = start + ((end - start) * (index - previous)) / (next - previous);
+    }
+    return output;
+}
+
+function normalizedBubbleSizes(
+    rows: any[],
+    field: string,
+    type: string | undefined,
+    width: number,
+    height: number,
+): Map {
+    const values = rows.map((row) => row[field]).filter((value) => value != null);
+    const unique = [...new Set(values)];
+    const maximumArea = Math.round(Math.max(16, Math.min(361, (width * height / Math.max(1, rows.length)) * 0.6)));
+    const minimumArea = type === 'quantitative' || type === 'temporal'
+        ? 9
+        : Math.round(maximumArea / 4);
+    const output = new Map();
+    if (type !== 'quantitative' && type !== 'temporal') {
+        unique.forEach((value, index) => {
+            const t = unique.length > 1 ? index / (unique.length - 1) : 0.5;
+            output.set(value, minimumArea + t * (maximumArea - minimumArea));
+        });
+        return output;
+    }
+
+    const numeric = values.map(Number).filter(Number.isFinite);
+    const maximum = numeric.length > 0 ? Math.max(...numeric) : 1;
+    const sqrtMaximum = Math.sqrt(Math.max(0, maximum));
+    unique.forEach((value) => {
+        const numericValue = Number(value);
+        const t = sqrtMaximum > 0 && Number.isFinite(numericValue)
+            ? Math.sqrt(Math.max(0, numericValue)) / sqrtMaximum
+            : 0;
+        output.set(value, minimumArea + t * (maximumArea - minimumArea));
+    });
+    return output;
+}
+
+function interpolateColor(start: string, end: string, t: number): string {
+    const channel = (color: string, offset: number) => Number.parseInt(color.slice(offset, offset + 2), 16);
+    const hex = (value: number) => Math.round(value).toString(16).padStart(2, '0');
+    return `#${hex(channel(start, 1) + (channel(end, 1) - channel(start, 1)) * t)}${hex(channel(start, 3) + (channel(end, 3) - channel(start, 3)) * t)}${hex(channel(start, 5) + (channel(end, 5) - channel(start, 5)) * t)}`;
+}
+
+/**
+ * Assemble an {@link ExcelChartSpec} from a {@link ChartAssemblyInput}.
+ *
+ * @throws if the chart type has no native Excel equivalent (e.g. Heatmap).
+ */
+export function assembleExcel(input: ChartAssemblyInput): ExcelChartSpec {
+    const flintType = input.chart_spec.chartType;
+    const semanticTypes = input.semantic_types ?? {};
+    const rawData: any[] = input.data.values ?? [];
+    const encodings = normalizeEncodings(input.chart_spec.encodings);
+
+    // ── Phase 0 (reused core): resolve per-channel semantics ────────────────
+    let convertedData = convertTemporalData(rawData, semanticTypes);
+    const sem: SemanticResult = resolveChannelSemantics(
+        encodings, rawData, semanticTypes, convertedData,
+    );
+    const typeOf = (ch: string) => sem[ch]?.type;
+    const isMeasure = (ch: string) => typeOf(ch) === 'quantitative';
+    const fieldOf = (ch: string) => encodings[ch]?.field;
+    const overflowOrder = new Map();
+    const chartTemplate = excelGetTemplateDef(flintType);
+    if (!chartTemplate) {
+        throw new Error(`Excel backend does not support chart type "${flintType}" as a native Office.js chart.`);
+    }
+    if (fieldOf('column') || fieldOf('row')) {
+        throw new Error(`Excel backend does not support faceting in one native Excel chart: "${flintType}".`);
+    }
+    const templateContext = { input, table: convertedData, semantics: sem, fieldOf, typeOf };
+    const unsupportedReason = chartTemplate.validate?.(templateContext);
+    if (unsupportedReason) {
+        throw new Error(`Excel backend ${unsupportedReason}: "${flintType}".`);
+    }
+
+    if (chartTemplate.instantiate) {
+        return chartTemplate.instantiate(templateContext);
+    }
+
+    if (flintType === 'Bar Chart' || flintType === 'Grouped Bar Chart' || flintType === 'Stacked Bar Chart') {
+        const detected = detectBandedAxisFromSemantics(sem, convertedData, { preferAxis: 'x' });
+        const declaration: LayoutDeclaration = {
+            axisFlags: detected ? { [detected.axis]: { banded: true } } : { x: { banded: true } },
+            resolvedTypes: detected?.resolvedTypes,
+        };
+        const baseSize = resolveBaseSize(input.chart_spec.baseSize, input.chart_spec.canvasSize);
+        const options = {
+            facetFixedPadding: { width: 50, height: 40 },
+            facetGap: 10,
+            targetBandAR: 10,
+            ...deriveStretchCaps(baseSize, input.chart_spec.canvasSize, {}),
+        };
+        const budgets = computeChannelBudgets(sem, declaration, convertedData, baseSize, options);
+        const overflowResult = filterOverflow(
+            sem,
+            declaration,
+            encodings,
+            convertedData,
+            budgets,
+            new Set(['bar']),
+        );
+        convertedData = overflowResult.filteredData;
+        overflowResult.truncations.forEach((truncation) => {
+            overflowOrder.set(truncation.field, truncation.keptValues as Cell[]);
+        });
+    }
+
+    const mapping = chartTemplate.typeMapping;
+
+    // ── Resolve roles (category / measure / series) from semantics ──────────
+    let catCh: string | undefined;
+    let measCh: string | undefined;
+    let seriesCh: string | undefined;
+    let orientation: 'vertical' | 'horizontal' = 'vertical';
+    let isXY = false;
+
+    // categorical series candidate (group preferred, else categorical color)
+    const seriesCand = encodings.group
+        ? 'group'
+        : encodings.color && !isMeasure('color')
+            ? 'color'
+            : undefined;
+    const seriesField0 = seriesCand;
+
+    if (mapping.noAxes) {
+        // pie/doughnut: color = slices (category), size/theta/y = value
+        catCh = encodings.color ? 'color' : encodings.x ? 'x' : undefined;
+        measCh = encodings.size ? 'size' : encodings.theta ? 'theta' : encodings.y ? 'y' : undefined;
+        seriesCh = undefined;
+    } else if (mapping.xy) {
+        catCh = 'x'; measCh = 'y'; isXY = true; seriesCh = seriesField0;
+    } else if (isMeasure('x') && !isMeasure('y')) {
+        catCh = 'y'; measCh = 'x'; orientation = 'horizontal'; seriesCh = seriesField0;
+    } else {
+        catCh = 'x'; measCh = 'y'; seriesCh = seriesField0;
+    }
+
+    const catField = catCh ? fieldOf(catCh) : undefined;
+    const measField = measCh ? fieldOf(measCh) : undefined;
+    const seriesField = seriesCh ? fieldOf(seriesCh) : undefined;
+    const dashField = fieldOf('strokeDash');
+    const orderField = fieldOf('order');
+    const sizeField = fieldOf('size');
+    const base = input.chart_spec.baseSize ?? { width: 480, height: 320 };
+    const bubbleSizes = sizeField
+        ? normalizedBubbleSizes(convertedData, sizeField, typeOf('size'), base.width, base.height)
+        : undefined;
+    const warnings: ChartWarning[] = [];
+
+    if (!catField || !measField) {
+        throw new Error(
+            `Excel backend could not resolve category/measure for "${flintType}" ` +
+            `(category=${catField}, measure=${measField}).`,
+        );
+    }
+
+    const numericXLine = flintType === 'Line Chart' && isMeasure('x') && isMeasure('y');
+    if (numericXLine) {
+        isXY = true;
+        catCh = 'x';
+        measCh = 'y';
+    }
+
+    // ── Stage 3: pivot long → wide matrix ───────────────────────────────────
+    const data: Array> = [];
+    let explicitSeries: ExcelNativeSeriesSpec[] | undefined;
+    let seriesFormats: ExcelNativeChartSpec['seriesFormats'];
+    if (isXY) {
+        const seriesKeys = seriesField ? distinct(convertedData, seriesField) : [measField];
+        const needsExplicitSeries = Boolean(seriesField || sizeField);
+        if (needsExplicitSeries) {
+            const columnsPerSeries = sizeField ? 3 : 2;
+            const groupedRows = seriesKeys.map((seriesKey) => {
+                const rows = convertedData.filter((row) => !seriesField || row[seriesField] === seriesKey);
+                if (!orderField) return rows;
+                return [...rows].sort((left, right) => {
+                    const leftValue = left[orderField];
+                    const rightValue = right[orderField];
+                    const leftNumber = Number(leftValue);
+                    const rightNumber = Number(rightValue);
+                    if (Number.isFinite(leftNumber) && Number.isFinite(rightNumber)) return leftNumber - rightNumber;
+                    const leftTime = new Date(String(leftValue)).getTime();
+                    const rightTime = new Date(String(rightValue)).getTime();
+                    if (Number.isFinite(leftTime) && Number.isFinite(rightTime)) return leftTime - rightTime;
+                    return String(leftValue).localeCompare(String(rightValue), undefined, { numeric: true });
+                });
+            });
+            const rowCount = Math.max(0, ...groupedRows.map((rows) => rows.length));
+            explicitSeries = seriesKeys.map((seriesKey, index) => ({
+                name: String(seriesKey),
+                xColumn: index * columnsPerSeries,
+                yColumn: index * columnsPerSeries + 1,
+                rowCount: groupedRows[index].length,
+                bubbleSizeColumn: sizeField ? index * columnsPerSeries + 2 : undefined,
+            }));
+            data.push(seriesKeys.flatMap((seriesKey) => [
+                `${String(seriesKey)} ${catField}`,
+                `${String(seriesKey)} ${measField}`,
+                ...(sizeField ? [`${String(seriesKey)} ${sizeField}`] : []),
+            ]));
+            for (let rowIndex = 0; rowIndex < rowCount; rowIndex += 1) {
+                data.push(groupedRows.flatMap((rows) => {
+                    const row = rows[rowIndex];
+                    if (!row) return new Array(columnsPerSeries).fill(null);
+                    return [
+                        row[catField] as Cell,
+                        Number(row[measField]),
+                        ...(sizeField ? [bubbleSizes?.get(row[sizeField]) ?? 9] : []),
+                    ];
+                }));
+            }
+        } else {
+            data.push([catField, measField]);
+            const rows = orderField
+                ? [...convertedData].sort((left, right) => {
+                    const leftValue = left[orderField];
+                    const rightValue = right[orderField];
+                    const leftNumber = Number(leftValue);
+                    const rightNumber = Number(rightValue);
+                    if (Number.isFinite(leftNumber) && Number.isFinite(rightNumber)) return leftNumber - rightNumber;
+                    const leftTime = new Date(String(leftValue)).getTime();
+                    const rightTime = new Date(String(rightValue)).getTime();
+                    if (Number.isFinite(leftTime) && Number.isFinite(rightTime)) return leftTime - rightTime;
+                    return String(leftValue).localeCompare(String(rightValue), undefined, { numeric: true });
+                })
+                : convertedData;
+            for (const r of rows) {
+                const x = r[catField];
+                const y = r[measField];
+                if (x == null || y == null) continue;
+                data.push([x as Cell, Number(y)]);
+            }
+        }
+    } else {
+        let categories = distinct(convertedData, catField);
+        const rankedCategories = overflowOrder.get(catField);
+        if (rankedCategories) categories = rankedCategories;
+        if (flintType === 'Line Chart' || flintType === 'Area Chart') {
+            if (typeOf(catCh!) === 'temporal') {
+                categories = [...categories].sort((a, b) => new Date(String(a)).getTime() - new Date(String(b)).getTime());
+            } else if (typeOf(catCh!) === 'quantitative') {
+                categories = [...categories].sort((a, b) => Number(a) - Number(b));
+            }
+        }
+        let seriesKeys = seriesField ? distinct(convertedData, seriesField) : [measField];
+        if (seriesField && (flintType === 'Stacked Bar Chart' || flintType === 'Bar Chart')) {
+            seriesKeys = [...seriesKeys].sort((a, b) => String(a).localeCompare(String(b), undefined, { numeric: true }));
+            if (orientation === 'vertical') seriesKeys.reverse();
+        }
+        const dashValues = dashField ? distinct(convertedData, dashField) : [];
+        const seriesDescriptors = dashField
+            ? convertedData.reduce>((output, row) => {
+                const seriesValue = (seriesField ? row[seriesField] : measField) as Cell;
+                const dashValue = row[dashField] as Cell;
+                const key = `${String(seriesValue)}\u0001${String(dashValue)}`;
+                if (!output.some((descriptor) => descriptor.key === key)) {
+                    output.push({
+                        key,
+                        label: seriesField ? `${String(seriesValue)} — ${String(dashValue)}` : String(dashValue),
+                        seriesValue,
+                        dashValue,
+                    });
+                }
+                return output;
+            }, [])
+            : seriesKeys.map((seriesValue) => ({
+                key: String(seriesValue),
+                label: String(seriesValue),
+                seriesValue,
+                dashValue: null,
+            }));
+        const orderedSeries = Boolean(seriesField)
+            && typeOf(seriesCh!) === 'ordinal';
+        const numericSeriesValues = orderedSeries
+            ? seriesKeys.map(Number).filter(Number.isFinite)
+            : [];
+        const seriesMinimum = numericSeriesValues.length > 0 ? Math.min(...numericSeriesValues) : 0;
+        const seriesMaximum = numericSeriesValues.length > 0 ? Math.max(...numericSeriesValues) : 1;
+        const orderedSeriesColor = (value: Cell) => {
+            const numericValue = Number(value);
+            const t = Number.isFinite(numericValue) && seriesMaximum !== seriesMinimum
+                ? (numericValue - seriesMinimum) / (seriesMaximum - seriesMinimum)
+                : 0.5;
+            return interpolateColor('#D9E2F3', '#2F5597', t);
+        };
+        if (orderedSeries) {
+            seriesFormats = seriesDescriptors.map((descriptor) => ({
+                color: orderedSeriesColor(descriptor.seriesValue),
+            }));
+        }
+        if (dashField) {
+            seriesFormats = seriesDescriptors.map((descriptor) => ({
+                color: EXCEL_SERIES_COLORS[Math.max(0, seriesKeys.indexOf(descriptor.seriesValue)) % EXCEL_SERIES_COLORS.length],
+                lineStyle: dashValues.indexOf(descriptor.dashValue) === 0 ? 'Continuous' : 'Dash',
+            }));
+        }
+
+        // aggregate duplicates per (category × series) using the measure's default
+        const agg = sem[measCh!]?.aggregationDefault ?? 'sum';
+        const acc = new Map();
+        for (const r of convertedData) {
+            const cv = r[catField];
+            if (cv == null) continue;
+            const seriesValue = seriesField ? r[seriesField] : measField;
+            const sv = dashField
+                ? `${String(seriesValue)}\u0001${String(r[dashField])}`
+                : seriesValue;
+            const num = Number(r[measField]);
+            if (!Number.isFinite(num)) continue;
+            const key = `${String(cv)}\u0000${String(sv)}`;
+            const e = acc.get(key) ?? { sum: 0, count: 0 };
+            e.sum += num; e.count += 1; acc.set(key, e);
+        }
+        const valueAt = (cv: Cell, sv: Cell): Cell => {
+            const e = acc.get(`${String(cv)}\u0000${String(sv)}`);
+            if (!e) return null;
+            return agg === 'average' ? e.sum / e.count : e.sum;
+        };
+
+        let seriesValues = seriesDescriptors.map((descriptor) => categories.map((category) => valueAt(category, descriptor.key)));
+        if (flintType === 'Line Chart' || flintType === 'Area Chart') {
+            seriesValues = seriesValues.map(interpolateMissing);
+        }
+        if (flintType === 'Area Chart' && typeOf(catCh!) === 'quantitative' && categories.length > 1) {
+            const sourceX = categories.map(Number);
+            const sampleCount = Math.min(97, Math.max(49, categories.length));
+            const minimum = sourceX[0];
+            const maximum = sourceX[sourceX.length - 1];
+            const targetX = Array.from(
+                { length: sampleCount },
+                (_value, index) => minimum + (index / (sampleCount - 1)) * (maximum - minimum),
+            );
+            seriesValues = seriesValues.map((values) => {
+                let right = 1;
+                return targetX.map((x) => {
+                    while (right < sourceX.length - 1 && sourceX[right] < x) right += 1;
+                    const left = Math.max(0, right - 1);
+                    const span = sourceX[right] - sourceX[left];
+                    const t = span === 0 ? 0 : (x - sourceX[left]) / span;
+                    const leftValue = Number(values[left]);
+                    const rightValue = Number(values[right]);
+                    if (!Number.isFinite(leftValue)) return Number.isFinite(rightValue) ? rightValue : null;
+                    if (!Number.isFinite(rightValue)) return leftValue;
+                    return leftValue + (rightValue - leftValue) * t;
+                });
+            });
+            const tickLabels = new Map(Array.from(
+                { length: 5 },
+                (_value, index) => [
+                    Math.round((index / 4) * (sampleCount - 1)),
+                    Number((minimum + (index / 4) * (maximum - minimum)).toPrecision(4)),
+                ] as const,
+            ));
+            categories = targetX.map((_value, index) => tickLabels.get(index) ?? '');
+        }
+        data.push([catField, ...seriesDescriptors.map((descriptor) => descriptor.label)]);
+        for (let categoryIndex = 0; categoryIndex < categories.length; categoryIndex += 1) {
+            data.push([
+                String(categories[categoryIndex]),
+                ...seriesValues.map((values) => values[categoryIndex]),
+            ]);
+        }
+    }
+
+    // ── Chart type + styling (native Excel) ─────────────────────────────────
+    let excelChartType = orientation === 'horizontal' && mapping.horizontal
+        ? mapping.horizontal
+        : mapping.vertical;
+    if (numericXLine) excelChartType = 'XYScatterLines';
+    if (flintType === 'Connected Scatter Plot') excelChartType = 'XYScatterLines';
+    if (flintType === 'Scatter Plot' && sizeField) excelChartType = 'Bubble';
+    if (flintType === 'Area Chart' && seriesField) excelChartType = 'AreaStacked';
+    if (flintType === 'Bar Chart' && seriesField) {
+        excelChartType = orientation === 'horizontal' ? 'BarStacked' : 'ColumnStacked';
+    }
+    const isBarFamily = /Column|Bar/.test(excelChartType);
+    const hasNumericAxes = /XYScatter|Bubble/.test(excelChartType);
+    const numberFormat = formatSpecToExcel(measCh ? sem[measCh]?.format : undefined);
+    const seriesBy: ExcelSeriesBy = 'Columns';
+
+    const spec: ExcelNativeChartSpec = {
+        schema: 'flint.excel.chart/v1',
+        kind: 'chart',
+        chartType: excelChartType,
+        title: `${measField} by ${catField}`,
+        seriesBy,
+        series: explicitSeries,
+        seriesFormats,
+        bubbleScale: flintType === 'Scatter Plot' && sizeField ? 20 : undefined,
+        doughnutHoleSize: flintType === 'Donut Chart'
+            ? Math.max(10, Math.min(90, Number(input.chart_spec.chartProperties?.innerRadius ?? 50)))
+            : undefined,
+        data,
+        width: base.width,
+        height: base.height,
+        warnings,
+        _flint: { flintType, catField, measField, seriesField, orientation, isXY },
+    };
+
+    if (!mapping.noAxes) {
+        const measureValues = convertedData
+            .map((row) => Number(row[measField]))
+            .filter(Number.isFinite);
+        const measureMinimum = measureValues.length > 0 ? Math.min(...measureValues) : undefined;
+        const measureMaximum = measureValues.length > 0 ? Math.max(...measureValues) : undefined;
+        const focusedLineMinimum = flintType === 'Line Chart' && measureMinimum !== undefined && measureMaximum !== undefined
+            ? Math.max(0, measureMinimum - (measureMaximum - measureMinimum) * 0.05)
+            : undefined;
+        const numericXScale = hasNumericAxes
+            ? focusedNumericAxis(convertedData.map((row) => Number(row[catField])))
+            : {};
+        const numericYScale = hasNumericAxes
+            ? focusedNumericAxis(measureValues)
+            : {};
+        spec.categoryAxis = {
+            title: catField,
+            labelFontSize: orientation === 'horizontal' && data.length > 25
+                ? Math.max(5, Math.min(10, ((base.height - 80) / (data.length - 1)) * 0.72))
+                : undefined,
+            tickLabelSpacing: orientation === 'vertical' && typeOf(catCh!) === 'temporal'
+                ? temporalLabelSpacing(data.length - 1, base.width)
+                : undefined,
+            reversePlotOrder: orientation === 'horizontal' && typeOf(catCh!) !== 'temporal',
+            ...numericXScale,
+        };
+        spec.valueAxis = {
+            title: measField,
+            numberFormat,
+            minimumScale: flintType === 'Area Chart' ? 0 : focusedLineMinimum,
+            ...numericYScale,
+        };
+    }
+    spec.legend = mapping.noAxes
+        ? { visible: true, position: 'Right' }
+        : seriesField || dashField
+            ? { visible: true, position: 'Bottom' }
+            : { visible: false };
+    if (isBarFamily) spec.gapWidth = 60;
+    if (flintType === 'Grouped Bar Chart') {
+        const seriesCount = Math.max(1, data[0].length - 1);
+        spec.gapWidth = Math.min(500, (excelChartType.startsWith('Column') ? 60 : 40) * seriesCount);
+        spec.overlap = 0;
+    }
+
+    return spec;
+}
diff --git a/packages/flint-js/src/excel/chart-types.ts b/packages/flint-js/src/excel/chart-types.ts
new file mode 100644
index 00000000..bdb6063c
--- /dev/null
+++ b/packages/flint-js/src/excel/chart-types.ts
@@ -0,0 +1,95 @@
+// Copyright (c) Microsoft Corporation.
+// Licensed under the MIT License.
+
+/**
+ * Excel chart-type mapping + FormatSpec → Excel number format.
+ *
+ * Excel's native chart types are a fixed enum (`Excel.ChartType`), so a Flint
+ * chart type maps to the closest native Excel chart. Orientation (vertical vs
+ * horizontal) is decided by the assembler from channel semantics and selects
+ * the Column* vs Bar* family.
+ */
+
+import type { FormatSpec } from '../core/field-semantics';
+
+/** Which native Excel family a Flint chart maps to. */
+export interface ExcelTypeMapping {
+    /** Vertical (category on x) Excel.ChartType. */
+    vertical: string;
+    /** Horizontal (category on y) Excel.ChartType, when the family supports it. */
+    horizontal?: string;
+    /** True for pie/doughnut/… charts that have no value/category axes. */
+    noAxes?: boolean;
+    /** True for XY (both-measure) charts. */
+    xy?: boolean;
+}
+
+/** Flint chart type (display name) → Excel chart family. */
+export const EXCEL_TYPE_MAP: Record = {
+    'Bar Chart': { vertical: 'ColumnClustered', horizontal: 'BarClustered' },
+    'Grouped Bar Chart': { vertical: 'ColumnClustered', horizontal: 'BarClustered' },
+    'Stacked Bar Chart': { vertical: 'ColumnStacked', horizontal: 'BarStacked' },
+    'Pyramid Chart': { vertical: 'BarStacked', horizontal: 'BarStacked' },
+    'Histogram': { vertical: 'ColumnClustered' },
+    'Line Chart': { vertical: 'Line' },
+    'Area Chart': { vertical: 'Area', horizontal: undefined },
+    'Scatter Plot': { vertical: 'XYScatter', xy: true },
+    'Connected Scatter Plot': { vertical: 'XYScatterLines', xy: true },
+    'Pie Chart': { vertical: 'Pie', noAxes: true },
+    'Donut Chart': { vertical: 'Doughnut', noAxes: true },
+    'Boxplot': { vertical: 'BoxWhisker' },
+    'Candlestick Chart': { vertical: 'StockOHLC' },
+    'Waterfall Chart': { vertical: 'Waterfall' },
+    'Radar Chart': { vertical: 'RadarMarkers' },
+    'Funnel Chart': { vertical: 'Funnel', noAxes: true },
+    'Treemap': { vertical: 'Treemap', noAxes: true },
+    'Sunburst Chart': { vertical: 'Sunburst', noAxes: true },
+};
+
+/** Chart types this backend can render natively in Excel. */
+export function isExcelSupported(flintChartType: string): boolean {
+    return flintChartType in EXCEL_TYPE_MAP;
+}
+
+/**
+ * Map a Flint {@link FormatSpec} to an Excel number-format string.
+ *
+ * Excel formats are pattern strings (`"$#,##0"`, `"0.0%"`, `"#,##0"`), distinct
+ * from d3/Vega patterns, so we translate from the FormatSpec's intent (prefix,
+ * suffix, abbreviate) rather than its d3 `pattern`.
+ */
+export function formatSpecToExcel(fmt: FormatSpec | undefined): string | undefined {
+    if (!fmt) return undefined;
+    const prefix = fmt.prefix ?? '';
+    const suffix = fmt.suffix ?? '';
+    const pat = fmt.pattern ?? '';
+
+    // percent
+    if (suffix === '%' || pat.includes('%')) {
+        const decimals = decimalsFromPattern(pat);
+        return decimals > 0 ? `0.${'0'.repeat(decimals)}%` : '0%';
+    }
+
+    // decide the numeric core
+    const decimals = decimalsFromPattern(pat);
+    let core = decimals > 0 ? `#,##0.${'0'.repeat(decimals)}` : '#,##0';
+    if (fmt.abbreviate) core = '#,##0,"K"'; // thousands abbreviation (approx)
+
+    const pre = prefix ? escapeLiteral(prefix) : '';
+    const suf = suffix ? escapeLiteral(suffix) : '';
+    if (!pre && !suf && !fmt.abbreviate && decimals === 0) return 'General';
+    return `${pre}${core}${suf}`;
+}
+
+/** Number of fractional digits requested by a d3-ish pattern (best-effort). */
+function decimalsFromPattern(pat: string): number {
+    const m = pat.match(/\.(\d+)/);
+    return m ? Number(m[1]) : 0;
+}
+
+/** Wrap non-numeric literal text so Excel treats it literally in a format. */
+function escapeLiteral(s: string): string {
+    // A leading/trailing currency symbol is fine bare; wrap other text in quotes.
+    if (s === '$' || s === '€' || s === '£' || s === '¥') return s;
+    return `"${s}"`;
+}
diff --git a/packages/flint-js/src/excel/codegen.ts b/packages/flint-js/src/excel/codegen.ts
new file mode 100644
index 00000000..099f549c
--- /dev/null
+++ b/packages/flint-js/src/excel/codegen.ts
@@ -0,0 +1,157 @@
+import { prepareExcelArtifact } from './artifact';
+import type { ExcelAxisSpec, ExcelNativeChartSpec } from './types';
+
+export interface OfficeJsCodegenOptions {
+    scale?: number;
+    cleanWorksheet?: boolean;
+    functionName?: string;
+}
+
+export interface GeneratedOfficeJs {
+    code: string;
+    meta: {
+        schema: ExcelNativeChartSpec['schema'];
+        rangeA1: string;
+        chartType: string;
+        rows: number;
+        columns: number;
+    };
+}
+
+function axisCode(axisName: 'categoryAxis' | 'valueAxis', axis: ExcelAxisSpec): string[] {
+    const target = `chart.axes.${axisName}`;
+    const lines: string[] = [];
+    if (axis.title) {
+        lines.push(`  ${target}.title.text = ${JSON.stringify(axis.title)};`);
+        lines.push(`  ${target}.title.visible = true;`);
+    }
+    if (axis.numberFormat) lines.push(`  ${target}.numberFormat = ${JSON.stringify(axis.numberFormat)};`);
+    if (axis.labelFontSize !== undefined) lines.push(`  ${target}.format.font.size = ${axis.labelFontSize};`);
+    if (axis.tickLabelSpacing !== undefined) lines.push(`  ${target}.tickLabelSpacing = ${axis.tickLabelSpacing};`);
+    if (axis.reversePlotOrder !== undefined) lines.push(`  ${target}.reversePlotOrder = ${axis.reversePlotOrder};`);
+    if (axis.minimumScale !== undefined) lines.push(`  ${target}.minimum = ${axis.minimumScale};`);
+    if (axis.maximumScale !== undefined) lines.push(`  ${target}.maximum = ${axis.maximumScale};`);
+    if (axis.majorUnit !== undefined) lines.push(`  ${target}.majorUnit = ${axis.majorUnit};`);
+    return lines;
+}
+
+function positiveScale(value: number | undefined): number {
+    const scale = value ?? 3;
+    if (!Number.isFinite(scale) || scale <= 0) throw new Error('Office.js image scale must be positive.');
+    return scale;
+}
+
+export function generateOfficeJs(value: unknown, options: OfficeJsCodegenOptions = {}): GeneratedOfficeJs {
+    const prepared = prepareExcelArtifact(value);
+    const { spec } = prepared;
+    const functionName = options.functionName ?? 'renderFlintChart';
+    if (!/^[$A-Z_a-z][$\w]*$/.test(functionName)) {
+        throw new Error('Office.js functionName must be a valid JavaScript identifier.');
+    }
+    const width = spec.width ?? 400;
+    const height = spec.height ?? 300;
+    const scale = positiveScale(options.scale);
+    const imageWidth = Math.round(width * (96 / 72) * scale);
+    const imageHeight = Math.round(height * (96 / 72) * scale);
+    const lines = [
+        `async function ${functionName}(context) {`,
+        '  const sheet = context.workbook.worksheets.getActiveWorksheet();',
+    ];
+
+    if (options.cleanWorksheet) {
+        lines.push(
+            "  sheet.charts.load('items/name');",
+            '  const previousRange = sheet.getUsedRangeOrNullObject();',
+            '  await context.sync();',
+            '  sheet.charts.items.forEach((existingChart) => existingChart.delete());',
+            '  if (!previousRange.isNullObject) previousRange.clear();',
+        );
+    }
+
+    lines.push(
+        `  const values = ${JSON.stringify(prepared.data)};`,
+        `  const dataRange = sheet.getRange(${JSON.stringify(prepared.rangeA1)});`,
+        '  dataRange.numberFormat = values.map((row, rowIndex) =>',
+        `    row.map((_cell, columnIndex) => rowIndex === 0 ? '@' : columnIndex === 0 && ${prepared.dateAxis} ? 'yyyy-mm-dd' : columnIndex === 0 && ${!prepared.numericAxis} ? '@' : 'General'),`,
+        '  );',
+        '  dataRange.values = values;',
+        `  const chart = sheet.charts.add(${JSON.stringify(prepared.chartType)}, dataRange, ${JSON.stringify(spec.seriesBy)});`,
+    );
+
+    if (spec.series?.length) {
+        lines.push("  chart.series.load('items');", '  await context.sync();');
+        lines.push(`  if (chart.series.items.length < ${spec.series.length}) throw new Error('Excel inferred too few series.');`);
+        spec.series.forEach((binding, index) => {
+            lines.push(
+                `  chart.series.items[${index}].name = ${JSON.stringify(binding.name)};`,
+                `  chart.series.items[${index}].setXAxisValues(sheet.getRangeByIndexes(1, ${binding.xColumn}, ${binding.rowCount}, 1));`,
+                `  chart.series.items[${index}].setValues(sheet.getRangeByIndexes(1, ${binding.yColumn}, ${binding.rowCount}, 1));`,
+            );
+            if (binding.bubbleSizeColumn !== undefined) {
+                lines.push(`  chart.series.items[${index}].setBubbleSizes(sheet.getRangeByIndexes(1, ${binding.bubbleSizeColumn}, ${binding.rowCount}, 1));`);
+            }
+        });
+        lines.push(
+            `  for (let index = chart.series.items.length - 1; index >= ${spec.series.length}; index -= 1) {`,
+            '    chart.series.getItemAt(index).delete();',
+            '    await context.sync();',
+            '  }',
+        );
+    }
+
+    lines.push(`  chart.width = ${width};`, `  chart.height = ${height};`);
+    if (spec.title) {
+        lines.push(`  chart.title.text = ${JSON.stringify(spec.title)};`, '  chart.title.visible = true;');
+    }
+    if (spec.legend) {
+        lines.push(`  chart.legend.visible = ${spec.legend.visible};`);
+        if (spec.legend.visible && spec.legend.position) {
+            lines.push(`  chart.legend.position = ${JSON.stringify(spec.legend.position)};`);
+        }
+    }
+    if (spec.dataLabels) {
+        lines.push(`  chart.dataLabels.visible = ${spec.dataLabels.visible};`);
+        if (spec.dataLabels.position) lines.push(`  chart.dataLabels.position = ${JSON.stringify(spec.dataLabels.position)};`);
+        if (spec.dataLabels.numberFormat) lines.push(`  chart.dataLabels.numberFormat = ${JSON.stringify(spec.dataLabels.numberFormat)};`);
+        if (spec.dataLabels.fontColor) lines.push(`  chart.dataLabels.format.font.color = ${JSON.stringify(spec.dataLabels.fontColor)};`);
+        if (spec.dataLabels.fontSize !== undefined) lines.push(`  chart.dataLabels.format.font.size = ${spec.dataLabels.fontSize};`);
+    }
+    if (prepared.hasAxes) {
+        if (spec.categoryAxis) lines.push(...axisCode('categoryAxis', spec.categoryAxis));
+        if (spec.valueAxis) lines.push(...axisCode('valueAxis', spec.valueAxis));
+    }
+
+    lines.push(`  const seriesFormats = ${JSON.stringify(spec.seriesFormats ?? [])};`);
+    lines.push(`  for (let index = 0; index < ${prepared.seriesCount}; index += 1) {`, '    const series = chart.series.getItemAt(index);', '    const format = seriesFormats[index];');
+    if (prepared.isBar && spec.gapWidth !== undefined) lines.push(`    series.gapWidth = ${spec.gapWidth};`);
+    if (prepared.isBar && spec.overlap !== undefined) lines.push(`    series.overlap = ${spec.overlap};`);
+    if (/Bubble/i.test(prepared.chartType) && spec.bubbleScale !== undefined) lines.push(`    series.bubbleScale = ${spec.bubbleScale};`);
+    if (/Doughnut/i.test(prepared.chartType) && spec.doughnutHoleSize !== undefined) lines.push(`    series.doughnutHoleSize = ${spec.doughnutHoleSize};`);
+    if (/BoxWhisker/i.test(prepared.chartType) && spec.boxWhiskerOptions) lines.push(`    series.boxwhiskerOptions.set(${JSON.stringify(spec.boxWhiskerOptions)});`);
+    if (/Waterfall/i.test(prepared.chartType) && spec.showConnectorLines !== undefined) lines.push(`    series.showConnectorLines = ${spec.showConnectorLines};`);
+    lines.push('    if (format?.color) {');
+    if (!prepared.isLine) lines.push('      series.format.fill.setSolidColor(format.color);');
+    lines.push('      series.format.line.color = format.color;', '    }', '    if (format?.lineStyle) series.format.line.lineStyle = format.lineStyle;', '  }');
+    lines.push(
+        `  const image = chart.getImage(${imageWidth}, ${imageHeight}, Excel.ImageFittingMode.fit);`,
+        '  await context.sync();',
+        '  return image.value;',
+        '}',
+        '',
+        'async function main() {',
+        `  return Excel.run(${functionName});`,
+        '}',
+        '',
+    );
+
+    return {
+        code: lines.join('\n'),
+        meta: {
+            schema: spec.schema,
+            rangeA1: prepared.rangeA1,
+            chartType: prepared.chartType,
+            rows: prepared.rows,
+            columns: prepared.columns,
+        },
+    };
+}
diff --git a/packages/flint-js/src/excel/index.ts b/packages/flint-js/src/excel/index.ts
new file mode 100644
index 00000000..15f2770f
--- /dev/null
+++ b/packages/flint-js/src/excel/index.ts
@@ -0,0 +1,52 @@
+// Copyright (c) Microsoft Corporation.
+// Licensed under the MIT License.
+
+/**
+ * @module flint-chart/excel
+ *
+ * Excel backend for flint-chart.
+ *
+ * Compiles the core semantic layer into a native Office.js Excel chart spec
+ * (a wide/matrix data range + chart type, axes, legend). A host renders it via
+ * the Office.js Excel API (`sheet.charts.add(...)` + `chart.getImage()`).
+ *
+ * Architecture contrast with other backends:
+ *   VL:    encoding-channel-based — { encoding: { x, y }, mark }
+ *   EC:    series-based           — { series: [...], xAxis, yAxis }
+ *   CJS:   dataset-based          — { type, data: { labels, datasets } }
+ *   Excel: range/matrix-based     — { chartType, data: [[...]], seriesBy, axes }
+ *
+ * Same core Phase 0 (semantics); Excel-specific Stage 3 output.
+ */
+
+export { assembleExcel } from './assemble';
+export {
+    EXCEL_ARTIFACT_SCHEMA,
+    SUPPORTED_EXCEL_CHART_TYPES,
+    excelColumnLetter,
+    prepareExcelArtifact,
+} from './artifact';
+export type { PreparedExcelArtifact } from './artifact';
+export { generateOfficeJs } from './codegen';
+export type { GeneratedOfficeJs, OfficeJsCodegenOptions } from './codegen';
+export { renderExcelChart } from './runtime';
+export type { ExcelRenderOptions, ExcelRenderResult, OfficeJsExcelApi } from './runtime';
+export { EXCEL_TYPE_MAP, isExcelSupported, formatSpecToExcel } from './chart-types';
+export {
+    excelAllTemplateDefs,
+    excelGetTemplateDef,
+    excelGetTemplateChannels,
+} from './templates';
+export type { ExcelTemplateContext, ExcelTemplateDef } from './templates';
+export type {
+    ExcelChartSpec,
+    ExcelNativeChartSpec,
+    ExcelNativeSeriesSpec,
+    ExcelNativeSeriesFormatSpec,
+    ExcelAxisSpec,
+    ExcelLegendSpec,
+    ExcelDataLabelsSpec,
+    ExcelBoxWhiskerOptionsSpec,
+    ExcelSeriesBy,
+    ExcelLegendPosition,
+} from './types';
diff --git a/packages/flint-js/src/excel/runtime.ts b/packages/flint-js/src/excel/runtime.ts
new file mode 100644
index 00000000..82603ca2
--- /dev/null
+++ b/packages/flint-js/src/excel/runtime.ts
@@ -0,0 +1,195 @@
+import { prepareExcelArtifact, type PreparedExcelArtifact } from './artifact';
+
+export interface OfficeJsExcelApi {
+    run(callback: (context: any) => Promise): Promise;
+    ImageFittingMode: { fit: any };
+}
+
+export interface ExcelRenderOptions {
+    scale?: number;
+    cleanWorksheet?: boolean;
+    inspectNativeChart?: boolean;
+}
+
+export interface ExcelRenderResult {
+    pngBase64: string;
+    inspection: unknown | null;
+}
+
+function applyChartFormat(chart: any, prepared: PreparedExcelArtifact): void {
+    const { spec } = prepared;
+    if (spec.legend) {
+        chart.legend.visible = spec.legend.visible;
+        if (spec.legend.visible && spec.legend.position) chart.legend.position = spec.legend.position;
+    }
+    if (prepared.hasAxes) {
+        const axes = [
+            [chart.axes.categoryAxis, spec.categoryAxis],
+            [chart.axes.valueAxis, spec.valueAxis],
+        ] as const;
+        for (const [axis, format] of axes) {
+            if (!format) continue;
+            if (format.title) {
+                axis.title.text = format.title;
+                axis.title.visible = true;
+            }
+            if (format.numberFormat) axis.numberFormat = format.numberFormat;
+            if (format.labelFontSize !== undefined) axis.format.font.size = format.labelFontSize;
+            if (format.tickLabelSpacing !== undefined) axis.tickLabelSpacing = format.tickLabelSpacing;
+            if (format.reversePlotOrder !== undefined) axis.reversePlotOrder = format.reversePlotOrder;
+            if (format.minimumScale !== undefined) axis.minimum = format.minimumScale;
+            if (format.maximumScale !== undefined) axis.maximum = format.maximumScale;
+            if (format.majorUnit !== undefined) axis.majorUnit = format.majorUnit;
+        }
+    }
+    if (spec.dataLabels) {
+        chart.dataLabels.visible = spec.dataLabels.visible;
+        if (spec.dataLabels.position) chart.dataLabels.position = spec.dataLabels.position;
+        if (spec.dataLabels.numberFormat) chart.dataLabels.numberFormat = spec.dataLabels.numberFormat;
+        if (spec.dataLabels.fontColor) chart.dataLabels.format.font.color = spec.dataLabels.fontColor;
+        if (spec.dataLabels.fontSize !== undefined) chart.dataLabels.format.font.size = spec.dataLabels.fontSize;
+    }
+    for (let index = 0; index < prepared.seriesCount; index += 1) {
+        const series = chart.series.getItemAt(index);
+        const format = spec.seriesFormats?.[index];
+        if (format?.color) {
+            if (!prepared.isLine) series.format.fill.setSolidColor(format.color);
+            series.format.line.color = format.color;
+        }
+        if (format?.lineStyle) series.format.line.lineStyle = format.lineStyle;
+        if (prepared.isBar && spec.gapWidth !== undefined) series.gapWidth = spec.gapWidth;
+        if (prepared.isBar && spec.overlap !== undefined) series.overlap = spec.overlap;
+        if (/Bubble/i.test(prepared.chartType) && spec.bubbleScale !== undefined) series.bubbleScale = spec.bubbleScale;
+        if (/Doughnut/i.test(prepared.chartType) && spec.doughnutHoleSize !== undefined) series.doughnutHoleSize = spec.doughnutHoleSize;
+        if (/BoxWhisker/i.test(prepared.chartType) && spec.boxWhiskerOptions) series.boxwhiskerOptions.set(spec.boxWhiskerOptions);
+        if (/Waterfall/i.test(prepared.chartType) && spec.showConnectorLines !== undefined) series.showConnectorLines = spec.showConnectorLines;
+    }
+}
+
+async function inspectChart(context: any, sheet: any, dataRange: any, chart: any): Promise {
+    try {
+        dataRange.load('address,values,numberFormat');
+        const usedRange = sheet.getUsedRangeOrNullObject();
+        usedRange.load('isNullObject,address,values');
+        chart.load('name,chartType');
+        chart.series.load('items/name,items/chartType,items/axisGroup,items/formula');
+        await context.sync();
+        for (const series of chart.series.items) {
+            series.binOptions.load('type,count,width,allowOverflow,overflowValue,allowUnderflow,underflowValue');
+        }
+        const primaryCategoryAxis = chart.axes.getItemOrNullObject('Category', 'Primary');
+        const primaryValueAxis = chart.axes.getItemOrNullObject('Value', 'Primary');
+        const secondaryValueAxis = chart.axes.getItemOrNullObject('Value', 'Secondary');
+        for (const axis of [primaryCategoryAxis, primaryValueAxis, secondaryValueAxis]) {
+            axis.load('isNullObject,axisType,axisGroup,visible,minimum,maximum,numberFormat');
+            axis.title.load('text,visible');
+        }
+        await context.sync();
+        const describeAxis = (axis: any) => axis.isNullObject ? null : { ...axis.toJSON(), title: axis.title.toJSON() };
+        return {
+            sourceRange: {
+                address: dataRange.address,
+                values: dataRange.values,
+                numberFormat: dataRange.numberFormat,
+            },
+            usedRange: usedRange.isNullObject ? null : {
+                address: usedRange.address,
+                values: usedRange.values,
+            },
+            chart: {
+                name: chart.name,
+                chartType: chart.chartType,
+                series: chart.series.items.map((series: any) => ({
+                    ...series.toJSON(),
+                    binOptions: series.binOptions.toJSON(),
+                })),
+                axes: {
+                    primaryCategory: describeAxis(primaryCategoryAxis),
+                    primaryValue: describeAxis(primaryValueAxis),
+                    secondaryValue: describeAxis(secondaryValueAxis),
+                },
+            },
+        };
+    } catch (error) {
+        return { error: error instanceof Error ? error.message : String(error) };
+    }
+}
+
+function imageScale(value: number | undefined): number {
+    const scale = value ?? 3;
+    if (!Number.isFinite(scale) || scale <= 0) throw new Error('Office.js image scale must be positive.');
+    return scale;
+}
+
+export async function renderExcelChart(
+    excelApi: OfficeJsExcelApi,
+    value: unknown,
+    options: ExcelRenderOptions = {},
+): Promise {
+    const prepared = prepareExcelArtifact(value);
+    const { spec } = prepared;
+    const scale = imageScale(options.scale);
+    return excelApi.run(async (context) => {
+        const sheet = context.workbook.worksheets.getActiveWorksheet();
+        if (options.cleanWorksheet !== false) {
+            sheet.charts.load('items/name');
+            const previousRange = sheet.getUsedRangeOrNullObject();
+            await context.sync();
+            sheet.charts.items.forEach((existingChart: any) => existingChart.delete());
+            if (!previousRange.isNullObject) previousRange.clear();
+        }
+
+        const dataRange = sheet.getRange(prepared.rangeA1);
+        dataRange.numberFormat = prepared.data.map((row, rowIndex) => row.map((_cell, columnIndex) =>
+            rowIndex === 0
+                ? '@'
+                : columnIndex === 0 && prepared.dateAxis
+                    ? 'yyyy-mm-dd'
+                    : columnIndex === 0 && !prepared.numericAxis ? '@' : 'General',
+        ));
+        dataRange.values = prepared.data;
+        const chart = sheet.charts.add(prepared.chartType, dataRange, spec.seriesBy);
+
+        if (spec.series?.length) {
+            chart.series.load('items');
+            await context.sync();
+            if (chart.series.items.length < spec.series.length) {
+                throw new Error(`Excel inferred ${chart.series.items.length} series; ${spec.series.length} required.`);
+            }
+            for (const [index, binding] of spec.series.entries()) {
+                const series = chart.series.items[index];
+                series.name = binding.name;
+                series.setXAxisValues(sheet.getRangeByIndexes(1, binding.xColumn, binding.rowCount, 1));
+                series.setValues(sheet.getRangeByIndexes(1, binding.yColumn, binding.rowCount, 1));
+                if (binding.bubbleSizeColumn !== undefined) {
+                    series.setBubbleSizes(sheet.getRangeByIndexes(1, binding.bubbleSizeColumn, binding.rowCount, 1));
+                }
+            }
+            for (let index = chart.series.items.length - 1; index >= spec.series.length; index -= 1) {
+                chart.series.getItemAt(index).delete();
+                await context.sync();
+            }
+        }
+
+        const width = spec.width ?? 400;
+        const height = spec.height ?? 300;
+        chart.width = width;
+        chart.height = height;
+        if (spec.title) {
+            chart.title.text = spec.title;
+            chart.title.visible = true;
+        }
+        applyChartFormat(chart, prepared);
+        await context.sync();
+        const image = chart.getImage(
+            Math.round(width * (96 / 72) * scale),
+            Math.round(height * (96 / 72) * scale),
+            excelApi.ImageFittingMode.fit,
+        );
+        await context.sync();
+        const inspection = options.inspectNativeChart
+            ? await inspectChart(context, sheet, dataRange, chart)
+            : null;
+        return { pngBase64: image.value, inspection };
+    });
+}
diff --git a/packages/flint-js/src/excel/templates/area.ts b/packages/flint-js/src/excel/templates/area.ts
new file mode 100644
index 00000000..6fa36d6d
--- /dev/null
+++ b/packages/flint-js/src/excel/templates/area.ts
@@ -0,0 +1,13 @@
+// Copyright (c) Microsoft Corporation.
+// Licensed under the MIT License.
+
+import type { ExcelTemplateDef } from './types';
+
+export const excelAreaChartDef: ExcelTemplateDef = {
+    chart: 'Area Chart',
+    channels: ['x', 'y', 'color'],
+    typeMapping: { vertical: 'Area' },
+    validate: ({ typeOf }) => typeOf('y') !== 'quantitative'
+        ? 'requires a quantitative y field for a native Excel area chart'
+        : undefined,
+};
\ No newline at end of file
diff --git a/packages/flint-js/src/excel/templates/bar.ts b/packages/flint-js/src/excel/templates/bar.ts
new file mode 100644
index 00000000..14e97d21
--- /dev/null
+++ b/packages/flint-js/src/excel/templates/bar.ts
@@ -0,0 +1,33 @@
+// Copyright (c) Microsoft Corporation.
+// Licensed under the MIT License.
+
+import type { ExcelTemplateDef } from './types';
+
+export const excelBarChartDef: ExcelTemplateDef = {
+    chart: 'Bar Chart',
+    channels: ['x', 'y', 'color'],
+    typeMapping: { vertical: 'ColumnClustered', horizontal: 'BarClustered' },
+    validate: ({ typeOf }) => typeOf('x') !== 'quantitative' && typeOf('y') !== 'quantitative'
+        ? 'requires one quantitative measure axis for a native Excel bar chart'
+        : undefined,
+};
+
+export const excelGroupedBarChartDef: ExcelTemplateDef = {
+    chart: 'Grouped Bar Chart',
+    channels: ['x', 'y', 'group'],
+    typeMapping: { vertical: 'ColumnClustered', horizontal: 'BarClustered' },
+    validate: (context) => excelBarChartDef.validate?.(context)
+        ?? (context.typeOf('group') === 'quantitative' || context.typeOf('group') === 'temporal'
+            ? 'does not support continuous grouping in a native Excel grouped bar chart'
+            : undefined),
+};
+
+export const excelStackedBarChartDef: ExcelTemplateDef = {
+    chart: 'Stacked Bar Chart',
+    channels: ['x', 'y', 'color'],
+    typeMapping: { vertical: 'ColumnStacked', horizontal: 'BarStacked' },
+    validate: (context) => excelBarChartDef.validate?.(context)
+        ?? (context.typeOf('color') === 'quantitative' || context.typeOf('color') === 'temporal'
+            ? 'does not support continuous color in a native Excel stacked bar chart'
+            : undefined),
+};
\ No newline at end of file
diff --git a/packages/flint-js/src/excel/templates/boxplot.ts b/packages/flint-js/src/excel/templates/boxplot.ts
new file mode 100644
index 00000000..051ca7cf
--- /dev/null
+++ b/packages/flint-js/src/excel/templates/boxplot.ts
@@ -0,0 +1,65 @@
+// Copyright (c) Microsoft Corporation.
+// Licensed under the MIT License.
+
+import { formatSpecToExcel } from '../chart-types';
+import type { ExcelTemplateDef } from './types';
+
+export const excelBoxplotDef: ExcelTemplateDef = {
+    chart: 'Boxplot',
+    channels: ['x', 'y', 'color'],
+    typeMapping: { vertical: 'BoxWhisker' },
+    validate: ({ input, fieldOf, typeOf }) => {
+        if (!fieldOf('x') || typeOf('x') === 'temporal') {
+            return 'requires a categorical x field for a native Excel box and whisker chart';
+        }
+        if (!fieldOf('y') || typeOf('y') !== 'quantitative') {
+            return 'requires a quantitative y field for a native Excel box and whisker chart';
+        }
+        if (fieldOf('color')) {
+            return 'does not yet support color-grouped native Excel box and whisker charts';
+        }
+        if (fieldOf('column') || fieldOf('row')) {
+            return 'does not support faceting in one native Excel box and whisker chart';
+        }
+        if (input.chart_spec.chartProperties?.whiskerMethod === 'minmax') {
+            return 'does not support min-max whiskers because Office.js exposes no native BoxWhisker whisker-method control';
+        }
+        return undefined;
+    },
+    instantiate: ({ input, table, semantics, fieldOf }) => {
+        const categoryField = fieldOf('x')!;
+        const valueField = fieldOf('y')!;
+        const rows = table.filter((row) => row[categoryField] != null && Number.isFinite(Number(row[valueField])));
+        const base = input.chart_spec.baseSize ?? { width: 480, height: 320 };
+        const properties = input.chart_spec.chartProperties;
+
+        return {
+            schema: 'flint.excel.chart/v1',
+            kind: 'chart',
+            chartType: 'BoxWhisker',
+            title: `${valueField} by ${categoryField}`,
+            seriesBy: 'Columns',
+            data: [
+                [categoryField, valueField],
+                ...rows.map((row) => [String(row[categoryField]), Number(row[valueField])]),
+            ],
+            categoryAxis: { title: categoryField },
+            valueAxis: {
+                title: valueField,
+                numberFormat: formatSpecToExcel(semantics.y?.format),
+            },
+            legend: { visible: false },
+            boxWhiskerOptions: {
+                quartileCalculation: 'Inclusive',
+                showInnerPoints: false,
+                showMeanLine: false,
+                showMeanMarker: false,
+                showOutlierPoints: properties?.showOutliers !== false,
+            },
+            width: base.width,
+            height: base.height,
+            warnings: [],
+            _flint: { flintType: 'Boxplot', categoryField, valueField, rawObservations: rows.length },
+        };
+    },
+};
\ No newline at end of file
diff --git a/packages/flint-js/src/excel/templates/candlestick.ts b/packages/flint-js/src/excel/templates/candlestick.ts
new file mode 100644
index 00000000..fada1375
--- /dev/null
+++ b/packages/flint-js/src/excel/templates/candlestick.ts
@@ -0,0 +1,107 @@
+// Copyright (c) Microsoft Corporation.
+// Licensed under the MIT License.
+
+import { formatSpecToExcel } from '../chart-types';
+import type { ExcelTemplateDef } from './types';
+
+const PRICE_CHANNELS = ['open', 'high', 'low', 'close'] as const;
+const EXCEL_EPOCH = Date.UTC(1899, 11, 30);
+const DAY_MILLISECONDS = 24 * 60 * 60 * 1000;
+
+function excelDateSerial(value: unknown): number {
+    return (new Date(value as string | number | Date).getTime() - EXCEL_EPOCH) / DAY_MILLISECONDS;
+}
+
+function niceStep(span: number): number {
+    const rough = span / 5;
+    const power = 10 ** Math.floor(Math.log10(rough));
+    const fraction = rough / power;
+    return (fraction <= 1 ? 1 : fraction <= 2 ? 2 : fraction <= 5 ? 5 : 10) * power;
+}
+
+export const excelCandlestickDef: ExcelTemplateDef = {
+    chart: 'Candlestick Chart',
+    channels: ['x', 'open', 'high', 'low', 'close'],
+    typeMapping: { vertical: 'StockOHLC' },
+    validate: ({ table, fieldOf, typeOf }) => {
+        const xField = fieldOf('x');
+        if (!xField || !['temporal', 'ordinal'].includes(typeOf('x') ?? '')) {
+            return 'requires a temporal or ordered x field for a native Excel stock chart';
+        }
+        for (const channel of PRICE_CHANNELS) {
+            if (!fieldOf(channel) || typeOf(channel) !== 'quantitative') {
+                return `requires a quantitative ${channel} field for a native Excel stock chart`;
+            }
+        }
+        if (fieldOf('color') || fieldOf('group') || fieldOf('detail')) {
+            return 'does not support color, group, or detail encodings in a native Excel stock chart';
+        }
+        if (table.length === 0) {
+            return 'requires at least one OHLC row for a native Excel stock chart';
+        }
+
+        let previousTime = Number.NEGATIVE_INFINITY;
+        for (const [index, row] of table.entries()) {
+            const time = new Date(row[xField]).getTime();
+            if (!Number.isFinite(time)) {
+                return `requires a valid date at row ${index + 1} for a native Excel stock chart`;
+            }
+            if (time <= previousTime) {
+                return 'requires x values sorted in strictly increasing chronological order for a native Excel stock chart';
+            }
+            previousTime = time;
+
+            const rawPrices = PRICE_CHANNELS.map((channel) => row[fieldOf(channel)!]);
+            const [open, high, low, close] = rawPrices.map(Number);
+            if (rawPrices.some((value) => value == null || value === '') || ![open, high, low, close].every(Number.isFinite)) {
+                return `requires finite open, high, low, and close values at row ${index + 1} for a native Excel stock chart`;
+            }
+            if (high < Math.max(open, low, close) || low > Math.min(open, high, close)) {
+                return `requires coherent OHLC values at row ${index + 1} (high >= open/close/low and low <= open/close/high)`;
+            }
+        }
+        return undefined;
+    },
+    instantiate: ({ input, table, semantics, fieldOf }) => {
+        const xField = fieldOf('x')!;
+        const fields = PRICE_CHANNELS.map((channel) => fieldOf(channel)!);
+        const base = input.chart_spec.baseSize ?? { width: 480, height: 320 };
+        const labelBudget = Math.max(12, Math.floor((base.width - 90) / 14));
+        const tickLabelSpacing = table.length > labelBudget ? Math.ceil(table.length / labelBudget) : undefined;
+        const lows = table.map((row) => Number(row[fields[2]]));
+        const highs = table.map((row) => Number(row[fields[1]]));
+        const minimum = Math.min(...lows);
+        const maximum = Math.max(...highs);
+        const majorUnit = niceStep(Math.max(maximum - minimum, Math.abs(maximum) * 0.1, 1));
+        const minimumScale = Math.floor(minimum / majorUnit) * majorUnit;
+        const maximumScale = Math.ceil(maximum / majorUnit) * majorUnit;
+
+        return {
+            schema: 'flint.excel.chart/v1',
+            kind: 'chart',
+            chartType: 'StockOHLC',
+            title: `${fields[3]} by ${xField}`,
+            seriesBy: 'Columns',
+            data: [
+                [xField, ...fields],
+                ...table.map((row) => [
+                    excelDateSerial(row[xField]),
+                    ...fields.map((field) => Number(row[field])),
+                ]),
+            ],
+            categoryAxis: { title: xField, numberFormat: 'yyyy-mm-dd', tickLabelSpacing },
+            valueAxis: {
+                title: 'Price',
+                numberFormat: formatSpecToExcel(semantics.close?.format),
+                minimumScale,
+                maximumScale: maximumScale === maximum ? maximumScale + majorUnit : maximumScale,
+                majorUnit,
+            },
+            legend: { visible: false },
+            width: base.width,
+            height: base.height,
+            warnings: [],
+            _flint: { flintType: 'Candlestick Chart', xField, priceFields: fields },
+        };
+    },
+};
\ No newline at end of file
diff --git a/packages/flint-js/src/excel/templates/funnel.ts b/packages/flint-js/src/excel/templates/funnel.ts
new file mode 100644
index 00000000..401037de
--- /dev/null
+++ b/packages/flint-js/src/excel/templates/funnel.ts
@@ -0,0 +1,69 @@
+// Copyright (c) Microsoft Corporation.
+// Licensed under the MIT License.
+
+import { formatSpecToExcel } from '../chart-types';
+import type { ExcelTemplateDef } from './types';
+
+export const excelFunnelChartDef: ExcelTemplateDef = {
+    chart: 'Funnel Chart',
+    channels: ['y', 'size'],
+    typeMapping: { vertical: 'Funnel', noAxes: true },
+    validate: ({ table, fieldOf, typeOf }) => {
+        if (!fieldOf('y') || typeOf('y') === 'quantitative') {
+            return 'requires a categorical y stage field for a native Excel funnel chart';
+        }
+        if (typeOf('size') !== 'quantitative') {
+            return 'requires a quantitative size field for a native Excel funnel chart';
+        }
+        const valueField = fieldOf('size')!;
+        if (table.some((row) => Number.isFinite(Number(row[valueField])) && Number(row[valueField]) < 0)) {
+            return 'requires non-negative values for a native Excel funnel chart';
+        }
+        return undefined;
+    },
+    instantiate: ({ input, table, semantics, fieldOf }) => {
+        const stageField = fieldOf('y')!;
+        const valueField = fieldOf('size')!;
+        const stageValues = new Map();
+        for (const row of table) {
+            const stage = row[stageField];
+            const value = Number(row[valueField]);
+            if (stage == null || !Number.isFinite(value)) continue;
+            const label = String(stage);
+            stageValues.set(label, (stageValues.get(label) ?? 0) + value);
+        }
+
+        const rows = [...stageValues.entries()];
+        const sort = input.chart_spec.chartProperties?.sort ?? 'descending';
+        if (sort === 'descending') rows.sort((left, right) => right[1] - left[1]);
+        if (sort === 'ascending') rows.sort((left, right) => left[1] - right[1]);
+
+        const base = input.chart_spec.baseSize ?? { width: 480, height: 320 };
+        return {
+            schema: 'flint.excel.chart/v1',
+            kind: 'chart',
+            chartType: 'Funnel',
+            title: `${valueField} by ${stageField}`,
+            seriesBy: 'Columns',
+            data: [[stageField, valueField], ...rows],
+            legend: { visible: false },
+            dataLabels: {
+                visible: true,
+                numberFormat: formatSpecToExcel(semantics.size?.format),
+                fontColor: '#FFFFFF',
+                fontSize: 11,
+            },
+            seriesFormats: [{ color: '#4472C4' }],
+            width: base.width,
+            height: base.height,
+            warnings: [],
+            _flint: {
+                flintType: 'Funnel Chart',
+                stageField,
+                valueField,
+                sort,
+                valueNumberFormat: formatSpecToExcel(semantics.size?.format),
+            },
+        };
+    },
+};
\ No newline at end of file
diff --git a/packages/flint-js/src/excel/templates/histogram.ts b/packages/flint-js/src/excel/templates/histogram.ts
new file mode 100644
index 00000000..bf6964eb
--- /dev/null
+++ b/packages/flint-js/src/excel/templates/histogram.ts
@@ -0,0 +1,80 @@
+// Copyright (c) Microsoft Corporation.
+// Licensed under the MIT License.
+
+import type { ExcelTemplateDef } from './types';
+
+function niceBinStep(minimum: number, maximum: number, maxBins: number): number {
+    const raw = Math.max(Number.EPSILON, maximum - minimum) / Math.max(1, maxBins);
+    const power = 10 ** Math.floor(Math.log10(raw));
+    const error = raw / power;
+    const factor = error >= 5 ? 10 : error >= 2 ? 5 : error >= 1 ? 2 : 1;
+    return factor * power;
+}
+
+export const excelHistogramDef: ExcelTemplateDef = {
+    chart: 'Histogram',
+    channels: ['x', 'color'],
+    typeMapping: { vertical: 'ColumnClustered' },
+    validate: ({ fieldOf, typeOf }) => {
+        const valueChannel = fieldOf('x') ? 'x' : 'y';
+        return !fieldOf(valueChannel) || typeOf(valueChannel) !== 'quantitative'
+            ? 'requires a quantitative value field for a native Excel histogram'
+            : undefined;
+    },
+    instantiate: ({ input, table, fieldOf }) => {
+        const valueField = fieldOf('x') ?? fieldOf('y')!;
+        const values = table.map((row) => Number(row[valueField])).filter(Number.isFinite);
+        if (values.length === 0) throw new Error('Excel histogram requires finite numeric values.');
+
+        const requestedBins = Number(input.chart_spec.chartProperties?.binCount);
+        const maxBins = Number.isFinite(requestedBins) && requestedBins > 0
+            ? Math.max(1, Math.round(requestedBins))
+            : 10;
+        const minimum = Math.min(...values);
+        const maximum = Math.max(...values);
+        const binWidth = maximum > minimum ? niceBinStep(minimum, maximum, maxBins) : 1;
+        const binMinimum = Math.floor(minimum / binWidth) * binWidth;
+        const binMaximum = Math.ceil(maximum / binWidth) * binWidth;
+        const binCount = Math.max(1, Math.round((binMaximum - binMinimum) / binWidth));
+        const labels = Array.from({ length: binCount }, (_value, index) => {
+            const lower = binMinimum + index * binWidth;
+            const upper = binMinimum + (index + 1) * binWidth;
+            return `${Number(lower.toFixed(2))}-${Number(upper.toFixed(2))}`;
+        });
+        const colorField = fieldOf('color');
+        const seriesKeys = colorField
+            ? [...new Set(table.map((row) => String(row[colorField])))]
+            : ['Count'];
+        const seriesCounts = seriesKeys.map(() => new Array(binCount).fill(0));
+        for (const row of table) {
+            const value = Number(row[valueField]);
+            if (!Number.isFinite(value)) continue;
+            const binIndex = Math.min(
+                binCount - 1,
+                Math.max(0, Math.floor((value - binMinimum) / binWidth)),
+            );
+            const seriesIndex = colorField ? seriesKeys.indexOf(String(row[colorField])) : 0;
+            if (seriesIndex >= 0) seriesCounts[seriesIndex][binIndex] += 1;
+        }
+        const base = input.chart_spec.baseSize ?? { width: 480, height: 320 };
+        return {
+            schema: 'flint.excel.chart/v1',
+            kind: 'chart',
+            chartType: colorField ? 'ColumnStacked' : 'ColumnClustered',
+            title: `Distribution of ${valueField}`,
+            seriesBy: 'Columns',
+            data: [
+                [valueField, ...seriesKeys],
+                ...labels.map((label, index) => [label, ...seriesCounts.map((series) => series[index])]),
+            ],
+            categoryAxis: { title: valueField },
+            valueAxis: { title: 'Count', numberFormat: '0' },
+            legend: { visible: Boolean(colorField), position: 'Bottom' },
+            gapWidth: 0,
+            width: base.width,
+            height: base.height,
+            warnings: [],
+            _flint: { flintType: 'Histogram', valueField, colorField, binCount, binMinimum, binMaximum },
+        };
+    },
+};
\ No newline at end of file
diff --git a/packages/flint-js/src/excel/templates/index.ts b/packages/flint-js/src/excel/templates/index.ts
new file mode 100644
index 00000000..367fbb5a
--- /dev/null
+++ b/packages/flint-js/src/excel/templates/index.ts
@@ -0,0 +1,49 @@
+// Copyright (c) Microsoft Corporation.
+// Licensed under the MIT License.
+
+import type { ExcelTemplateDef } from './types';
+import { excelAreaChartDef } from './area';
+import { excelBarChartDef, excelGroupedBarChartDef, excelStackedBarChartDef } from './bar';
+import { excelBoxplotDef } from './boxplot';
+import { excelCandlestickDef } from './candlestick';
+import { excelFunnelChartDef } from './funnel';
+import { excelHistogramDef } from './histogram';
+import { excelLineChartDef } from './line';
+import { excelDonutChartDef, excelPieChartDef } from './pie';
+import { excelPyramidChartDef } from './pyramid';
+import { excelRadarChartDef } from './radar';
+import { excelConnectedScatterPlotDef, excelScatterPlotDef } from './scatter';
+import { excelSunburstChartDef } from './sunburst';
+import { excelTreemapDef } from './treemap';
+import { excelWaterfallChartDef } from './waterfall';
+
+export const excelAllTemplateDefs: ExcelTemplateDef[] = [
+    excelBarChartDef,
+    excelGroupedBarChartDef,
+    excelStackedBarChartDef,
+    excelPyramidChartDef,
+    excelLineChartDef,
+    excelAreaChartDef,
+    excelScatterPlotDef,
+    excelConnectedScatterPlotDef,
+    excelPieChartDef,
+    excelDonutChartDef,
+    excelHistogramDef,
+    excelBoxplotDef,
+    excelCandlestickDef,
+    excelWaterfallChartDef,
+    excelRadarChartDef,
+    excelFunnelChartDef,
+    excelTreemapDef,
+    excelSunburstChartDef,
+];
+
+export function excelGetTemplateDef(chartType: string): ExcelTemplateDef | undefined {
+    return excelAllTemplateDefs.find((template) => template.chart === chartType);
+}
+
+export function excelGetTemplateChannels(chartType: string): string[] {
+    return excelGetTemplateDef(chartType)?.channels ?? [];
+}
+
+export type { ExcelTemplateContext, ExcelTemplateDef } from './types';
\ No newline at end of file
diff --git a/packages/flint-js/src/excel/templates/line.ts b/packages/flint-js/src/excel/templates/line.ts
new file mode 100644
index 00000000..871d6f4b
--- /dev/null
+++ b/packages/flint-js/src/excel/templates/line.ts
@@ -0,0 +1,19 @@
+// Copyright (c) Microsoft Corporation.
+// Licensed under the MIT License.
+
+import type { ExcelTemplateDef } from './types';
+
+export const excelLineChartDef: ExcelTemplateDef = {
+    chart: 'Line Chart',
+    channels: ['x', 'y', 'color', 'strokeDash'],
+    typeMapping: { vertical: 'Line' },
+    validate: ({ typeOf }) => {
+        if (typeOf('y') !== 'quantitative') {
+            return 'requires a quantitative y field for a native Excel line chart';
+        }
+        if (typeOf('color') === 'quantitative' || typeOf('color') === 'temporal') {
+            return 'does not support continuous color on a native Excel line chart';
+        }
+        return undefined;
+    },
+};
\ No newline at end of file
diff --git a/packages/flint-js/src/excel/templates/pie.ts b/packages/flint-js/src/excel/templates/pie.ts
new file mode 100644
index 00000000..38d71c14
--- /dev/null
+++ b/packages/flint-js/src/excel/templates/pie.ts
@@ -0,0 +1,16 @@
+// Copyright (c) Microsoft Corporation.
+// Licensed under the MIT License.
+
+import type { ExcelTemplateDef } from './types';
+
+export const excelPieChartDef: ExcelTemplateDef = {
+    chart: 'Pie Chart',
+    channels: ['color', 'size', 'theta'],
+    typeMapping: { vertical: 'Pie', noAxes: true },
+};
+
+export const excelDonutChartDef: ExcelTemplateDef = {
+    chart: 'Donut Chart',
+    channels: ['color', 'size', 'theta'],
+    typeMapping: { vertical: 'Doughnut', noAxes: true },
+};
\ No newline at end of file
diff --git a/packages/flint-js/src/excel/templates/pyramid.ts b/packages/flint-js/src/excel/templates/pyramid.ts
new file mode 100644
index 00000000..33724f04
--- /dev/null
+++ b/packages/flint-js/src/excel/templates/pyramid.ts
@@ -0,0 +1,115 @@
+// Copyright (c) Microsoft Corporation.
+// Licensed under the MIT License.
+
+import { formatSpecToExcel } from '../chart-types';
+import type { ExcelTemplateDef } from './types';
+
+function niceMaximum(value: number): { maximum: number; majorUnit: number } {
+    const roughStep = Math.max(value, 1) / 5;
+    const power = 10 ** Math.floor(Math.log10(roughStep));
+    const fraction = roughStep / power;
+    const majorUnit = (fraction <= 1 ? 1 : fraction <= 2 ? 2 : fraction <= 5 ? 5 : 10) * power;
+    return { maximum: Math.ceil(value / majorUnit) * majorUnit, majorUnit };
+}
+
+function absoluteNumberFormat(format: string | undefined): string {
+    const positive = !format || format === 'General' ? '#,##0' : format;
+    return `${positive};${positive};0`;
+}
+
+export const excelPyramidChartDef: ExcelTemplateDef = {
+    chart: 'Pyramid Chart',
+    channels: ['x', 'y', 'color'],
+    typeMapping: { vertical: 'BarStacked', horizontal: 'BarStacked' },
+    validate: ({ table, fieldOf, typeOf }) => {
+        const xIsMeasure = typeOf('x') === 'quantitative';
+        const yIsMeasure = typeOf('y') === 'quantitative';
+        if (xIsMeasure === yIsMeasure) {
+            return 'requires exactly one quantitative measure axis for a native Excel pyramid chart';
+        }
+        const categoryChannel = xIsMeasure ? 'y' : 'x';
+        if (!fieldOf(categoryChannel) || typeOf(categoryChannel) === 'quantitative') {
+            return 'requires a discrete category axis for a native Excel pyramid chart';
+        }
+        const groupField = fieldOf('color');
+        if (!groupField || ['quantitative', 'temporal'].includes(typeOf('color') ?? '')) {
+            return 'requires a discrete color field for a native Excel pyramid chart';
+        }
+        const groups = [...new Set(table.map((row) => row[groupField]).filter((value) => value != null))];
+        if (groups.length !== 2) {
+            return `requires exactly two groups for a native Excel pyramid chart (found ${groups.length})`;
+        }
+        const measureField = fieldOf(xIsMeasure ? 'x' : 'y')!;
+        if (table.some((row) => Number.isFinite(Number(row[measureField])) && Number(row[measureField]) < 0)) {
+            return 'requires non-negative values for a native Excel pyramid chart';
+        }
+        return undefined;
+    },
+    instantiate: ({ input, table, semantics, fieldOf, typeOf }) => {
+        const measureChannel = typeOf('x') === 'quantitative' ? 'x' : 'y';
+        const categoryChannel = measureChannel === 'x' ? 'y' : 'x';
+        const measureField = fieldOf(measureChannel)!;
+        const categoryField = fieldOf(categoryChannel)!;
+        const groupField = fieldOf('color')!;
+        const categories = [...new Set(table.map((row) => row[categoryField]).filter((value) => value != null))];
+        const groups = [...new Set(table.map((row) => row[groupField]).filter((value) => value != null))];
+        const totals = new Map();
+        for (const row of table) {
+            const category = row[categoryField];
+            const group = row[groupField];
+            const value = Number(row[measureField]);
+            if (category == null || group == null || !Number.isFinite(value)) continue;
+            const key = `${String(category)}\u0000${String(group)}`;
+            totals.set(key, (totals.get(key) ?? 0) + value);
+        }
+        const valueAt = (category: unknown, group: unknown): number | null => {
+            const value = totals.get(`${String(category)}\u0000${String(group)}`);
+            return value === undefined ? null : value;
+        };
+        const maximumValue = Math.max(0, ...totals.values());
+        const { maximum, majorUnit } = niceMaximum(maximumValue);
+        const numberFormat = formatSpecToExcel(semantics[measureChannel]?.format);
+        const base = input.chart_spec.baseSize ?? { width: 560, height: 360 };
+
+        return {
+            schema: 'flint.excel.chart/v1',
+            kind: 'chart',
+            chartType: 'BarStacked',
+            title: `${measureField} by ${categoryField} and ${groupField}`,
+            seriesBy: 'Columns',
+            data: [
+                [categoryField, ...groups.map(String)],
+                ...categories.map((category) => {
+                    const leftValue = valueAt(category, groups[0]);
+                    return [
+                        String(category),
+                        leftValue === null ? null : -leftValue,
+                        valueAt(category, groups[1]),
+                    ];
+                }),
+            ],
+            categoryAxis: { title: categoryField, reversePlotOrder: true },
+            valueAxis: {
+                title: measureField,
+                numberFormat: absoluteNumberFormat(numberFormat),
+                minimumScale: -maximum,
+                maximumScale: maximum,
+                majorUnit,
+            },
+            legend: { visible: true, position: 'Bottom' },
+            seriesFormats: [{ color: '#4472C4' }, { color: '#C55A5A' }],
+            gapWidth: 45,
+            overlap: 100,
+            width: base.width,
+            height: base.height,
+            warnings: [],
+            _flint: {
+                flintType: 'Pyramid Chart',
+                categoryField,
+                measureField,
+                groupField,
+                groups: groups.map(String),
+            },
+        };
+    },
+};
\ No newline at end of file
diff --git a/packages/flint-js/src/excel/templates/radar.ts b/packages/flint-js/src/excel/templates/radar.ts
new file mode 100644
index 00000000..2be88dde
--- /dev/null
+++ b/packages/flint-js/src/excel/templates/radar.ts
@@ -0,0 +1,111 @@
+// Copyright (c) Microsoft Corporation.
+// Licensed under the MIT License.
+
+import type { ExcelTemplateDef } from './types';
+
+function niceMaximum(value: number): number {
+    if (!(value > 0)) return 1;
+    const power = 10 ** Math.floor(Math.log10(value));
+    const fraction = value / power;
+    const niceFraction = fraction <= 1 ? 1
+        : fraction <= 2 ? 2
+        : fraction <= 2.5 ? 2.5
+        : fraction <= 5 ? 5
+        : 10;
+    return niceFraction * power;
+}
+
+export const excelRadarChartDef: ExcelTemplateDef = {
+    chart: 'Radar Chart',
+    channels: ['x', 'y', 'color'],
+    typeMapping: { vertical: 'RadarMarkers' },
+    validate: ({ table, fieldOf, typeOf }) => {
+        if (!fieldOf('x') || typeOf('x') === 'quantitative' || typeOf('x') === 'temporal') {
+            return 'requires a categorical metric x field for a native Excel radar chart';
+        }
+        if (!fieldOf('y') || typeOf('y') !== 'quantitative') {
+            return 'requires a quantitative y field for a native Excel radar chart';
+        }
+        if (fieldOf('color') && (typeOf('color') === 'quantitative' || typeOf('color') === 'temporal')) {
+            return 'requires a discrete color field for native Excel radar series';
+        }
+        if (fieldOf('column') || fieldOf('row')) {
+            return 'does not support faceting in one native Excel radar chart';
+        }
+        const valueField = fieldOf('y')!;
+        if (table.some((row) => Number(row[valueField]) < 0)) {
+            return 'requires non-negative values for a native Excel radar chart';
+        }
+        return undefined;
+    },
+    instantiate: ({ input, table, fieldOf }) => {
+        const metricField = fieldOf('x')!;
+        const valueField = fieldOf('y')!;
+        const seriesField = fieldOf('color');
+        const metrics = [...new Set(table.map((row) => String(row[metricField])))];
+        if (metrics.length < 3) {
+            throw new Error('Excel radar chart requires at least three metric axes.');
+        }
+        const seriesKeys = seriesField
+            ? [...new Set(table.map((row) => String(row[seriesField])))]
+            : [valueField];
+        const metricMaximums = new Map(metrics.map((metric) => {
+            const values = table
+                .filter((row) => String(row[metricField]) === metric)
+                .map((row) => Number(row[valueField]))
+                .filter(Number.isFinite);
+            return [metric, niceMaximum(values.length > 0 ? Math.max(...values) : 1)] as const;
+        }));
+        const accumulators = new Map();
+        for (const row of table) {
+            const metric = String(row[metricField]);
+            const series = seriesField ? String(row[seriesField]) : valueField;
+            const value = Number(row[valueField]);
+            if (!Number.isFinite(value)) continue;
+            const key = `${series}\u0000${metric}`;
+            const accumulator = accumulators.get(key) ?? { sum: 0, count: 0 };
+            accumulator.sum += value;
+            accumulator.count += 1;
+            accumulators.set(key, accumulator);
+        }
+        const normalizedValue = (series: string, metric: string): number => {
+            const accumulator = accumulators.get(`${series}\u0000${metric}`);
+            if (!accumulator) return 0;
+            return (accumulator.sum / accumulator.count) / metricMaximums.get(metric)!;
+        };
+        const base = input.chart_spec.baseSize ?? { width: 480, height: 400 };
+        const filledRequested = input.chart_spec.chartProperties?.filled !== false;
+        return {
+            schema: 'flint.excel.chart/v1',
+            kind: 'chart',
+            chartType: 'RadarMarkers',
+            title: `${valueField} by ${metricField}`,
+            seriesBy: 'Columns',
+            data: [
+                [metricField, ...seriesKeys],
+                ...metrics.map((metric) => [
+                    `${metric} (${metricMaximums.get(metric)})`,
+                    ...seriesKeys.map((series) => normalizedValue(series, metric)),
+                ]),
+            ],
+            valueAxis: { minimumScale: 0, maximumScale: 1, majorUnit: 0.25 },
+            legend: { visible: Boolean(seriesField), position: 'Bottom' },
+            width: base.width,
+            height: base.height,
+            warnings: filledRequested ? [{
+                severity: 'info',
+                code: 'excel-radar-fill-unsupported',
+                message: 'Excel Radar uses outlines and markers because Office.js does not expose translucent chart-series fills.',
+            }] : [],
+            _flint: {
+                flintType: 'Radar Chart',
+                metricField,
+                valueField,
+                seriesField,
+                metricMaximums: Object.fromEntries(metricMaximums),
+                normalized: true,
+                filledRequested,
+            },
+        };
+    },
+};
\ No newline at end of file
diff --git a/packages/flint-js/src/excel/templates/scatter.ts b/packages/flint-js/src/excel/templates/scatter.ts
new file mode 100644
index 00000000..62972b3e
--- /dev/null
+++ b/packages/flint-js/src/excel/templates/scatter.ts
@@ -0,0 +1,29 @@
+// Copyright (c) Microsoft Corporation.
+// Licensed under the MIT License.
+
+import type { ExcelTemplateDef } from './types';
+import { requireQuantitativeAxes } from './types';
+
+export const excelScatterPlotDef: ExcelTemplateDef = {
+    chart: 'Scatter Plot',
+    channels: ['x', 'y', 'color', 'size'],
+    typeMapping: { vertical: 'XYScatter', xy: true },
+    validate: (context) => requireQuantitativeAxes(context)
+        ?? (context.typeOf('color') === 'quantitative' || context.typeOf('color') === 'temporal'
+            ? 'does not support continuous color in a native Excel Scatter or Bubble chart'
+            : undefined),
+};
+
+export const excelConnectedScatterPlotDef: ExcelTemplateDef = {
+    chart: 'Connected Scatter Plot',
+    channels: ['x', 'y', 'order', 'color', 'detail'],
+    typeMapping: { vertical: 'XYScatterLines', xy: true },
+    validate: (context) => requireQuantitativeAxes(context)
+        ?? (!context.fieldOf('order')
+            ? 'requires an explicit order field for a native Excel connected scatter chart'
+            : context.fieldOf('detail')
+                ? 'does not support an unlegended detail series in a native Excel connected scatter chart'
+                : context.typeOf('color') === 'quantitative' || context.typeOf('color') === 'temporal'
+                    ? 'does not support continuous color in a native Excel connected scatter chart'
+                    : undefined),
+};
\ No newline at end of file
diff --git a/packages/flint-js/src/excel/templates/sunburst.ts b/packages/flint-js/src/excel/templates/sunburst.ts
new file mode 100644
index 00000000..57f18331
--- /dev/null
+++ b/packages/flint-js/src/excel/templates/sunburst.ts
@@ -0,0 +1,67 @@
+// Copyright (c) Microsoft Corporation.
+// Licensed under the MIT License.
+
+import type { ExcelTemplateDef } from './types';
+
+export const excelSunburstChartDef: ExcelTemplateDef = {
+    chart: 'Sunburst Chart',
+    channels: ['color', 'size', 'group', 'detail'],
+    typeMapping: { vertical: 'Sunburst', noAxes: true },
+    validate: ({ table, fieldOf, typeOf }) => {
+        if (!fieldOf('color') || typeOf('color') === 'quantitative') {
+            return 'requires a categorical color field for a native Excel sunburst chart';
+        }
+        if (typeOf('size') !== 'quantitative') {
+            return 'requires a quantitative size field for a native Excel sunburst chart';
+        }
+        if (fieldOf('group') && typeOf('group') === 'quantitative') {
+            return 'requires a categorical group field for a native Excel sunburst hierarchy';
+        }
+        if (fieldOf('detail') && !fieldOf('group')) {
+            return 'requires a group field before detail in a native Excel sunburst hierarchy';
+        }
+        if (fieldOf('detail') && typeOf('detail') === 'quantitative') {
+            return 'requires a categorical detail field for a native Excel sunburst hierarchy';
+        }
+        const valueField = fieldOf('size')!;
+        if (table.some((row) => Number.isFinite(Number(row[valueField])) && Number(row[valueField]) < 0)) {
+            return 'requires non-negative values for a native Excel sunburst chart';
+        }
+        return undefined;
+    },
+    instantiate: ({ input, table, fieldOf }) => {
+        const categoryField = fieldOf('color')!;
+        const groupField = fieldOf('group');
+        const detailField = fieldOf('detail');
+        const valueField = fieldOf('size')!;
+        const hierarchyFields = [categoryField, groupField, detailField].filter((field): field is string => Boolean(field));
+        const leaves = new Map();
+        for (const row of table) {
+            const path = hierarchyFields.map((field) => row[field]);
+            const value = Number(row[valueField]);
+            if (path.some((part) => part == null) || !Number.isFinite(value)) continue;
+            const labels = path.map(String);
+            const key = labels.join('\u0000');
+            const existing = leaves.get(key);
+            leaves.set(key, { path: labels, value: (existing?.value ?? 0) + value });
+        }
+
+        const base = input.chart_spec.baseSize ?? { width: 480, height: 320 };
+        return {
+            schema: 'flint.excel.chart/v1',
+            kind: 'chart',
+            chartType: 'Sunburst',
+            title: `${valueField} by ${hierarchyFields[hierarchyFields.length - 1]}`,
+            seriesBy: 'Columns',
+            data: [
+                [...hierarchyFields, valueField],
+                ...[...leaves.values()].map((leaf) => [...leaf.path, leaf.value]),
+            ],
+            legend: { visible: false },
+            width: base.width,
+            height: base.height,
+            warnings: [],
+            _flint: { flintType: 'Sunburst Chart', hierarchyFields, valueField },
+        };
+    },
+};
\ No newline at end of file
diff --git a/packages/flint-js/src/excel/templates/treemap.ts b/packages/flint-js/src/excel/templates/treemap.ts
new file mode 100644
index 00000000..d604a228
--- /dev/null
+++ b/packages/flint-js/src/excel/templates/treemap.ts
@@ -0,0 +1,65 @@
+// Copyright (c) Microsoft Corporation.
+// Licensed under the MIT License.
+
+import type { ExcelTemplateDef } from './types';
+
+export const excelTreemapDef: ExcelTemplateDef = {
+    chart: 'Treemap',
+    channels: ['color', 'size', 'detail'],
+    typeMapping: { vertical: 'Treemap', noAxes: true },
+    validate: ({ table, fieldOf, typeOf }) => {
+        if (!fieldOf('color') || typeOf('color') === 'quantitative') {
+            return 'requires a categorical color field for a native Excel treemap';
+        }
+        if (typeOf('size') !== 'quantitative') {
+            return 'requires a quantitative size field for a native Excel treemap';
+        }
+        if (fieldOf('detail') && typeOf('detail') === 'quantitative') {
+            return 'requires a categorical detail field for a native Excel treemap hierarchy';
+        }
+        const valueField = fieldOf('size')!;
+        if (table.some((row) => Number.isFinite(Number(row[valueField])) && Number(row[valueField]) < 0)) {
+            return 'requires non-negative values for a native Excel treemap';
+        }
+        return undefined;
+    },
+    instantiate: ({ input, table, fieldOf }) => {
+        const categoryField = fieldOf('color')!;
+        const detailField = fieldOf('detail');
+        const valueField = fieldOf('size')!;
+        const leaves = new Map();
+        for (const row of table) {
+            const category = row[categoryField];
+            const detail = detailField ? row[detailField] : undefined;
+            const value = Number(row[valueField]);
+            if (category == null || (detailField && detail == null) || !Number.isFinite(value)) continue;
+            const categoryLabel = String(category);
+            const detailLabel = detailField ? String(detail) : undefined;
+            const key = `${categoryLabel}\u0000${detailLabel ?? ''}`;
+            const existing = leaves.get(key);
+            leaves.set(key, {
+                category: categoryLabel,
+                detail: detailLabel,
+                value: (existing?.value ?? 0) + value,
+            });
+        }
+
+        const rows = [...leaves.values()];
+        const base = input.chart_spec.baseSize ?? { width: 480, height: 320 };
+        return {
+            schema: 'flint.excel.chart/v1',
+            kind: 'chart',
+            chartType: 'Treemap',
+            title: `${valueField} by ${detailField ?? categoryField}`,
+            seriesBy: 'Columns',
+            data: detailField
+                ? [[categoryField, detailField, valueField], ...rows.map((row) => [row.category, row.detail!, row.value])]
+                : [[categoryField, valueField], ...rows.map((row) => [row.category, row.value])],
+            legend: { visible: false },
+            width: base.width,
+            height: base.height,
+            warnings: [],
+            _flint: { flintType: 'Treemap', categoryField, detailField, valueField },
+        };
+    },
+};
\ No newline at end of file
diff --git a/packages/flint-js/src/excel/templates/types.ts b/packages/flint-js/src/excel/templates/types.ts
new file mode 100644
index 00000000..e7b5f0a4
--- /dev/null
+++ b/packages/flint-js/src/excel/templates/types.ts
@@ -0,0 +1,32 @@
+// Copyright (c) Microsoft Corporation.
+// Licensed under the MIT License.
+
+import type { ChartAssemblyInput, SemanticResult } from '../../core/types';
+import type { ExcelTypeMapping } from '../chart-types';
+import type { ExcelNativeChartSpec } from '../types';
+
+export interface ExcelTemplateContext {
+    input: ChartAssemblyInput;
+    table: any[];
+    semantics: SemanticResult;
+    fieldOf: (channel: string) => string | undefined;
+    typeOf: (channel: string) => string | undefined;
+}
+
+export interface ExcelTemplateDef {
+    chart: string;
+    channels: string[];
+    typeMapping: ExcelTypeMapping;
+    validate?: (context: ExcelTemplateContext) => string | undefined;
+    instantiate?: (context: ExcelTemplateContext) => ExcelNativeChartSpec;
+}
+
+export function requireQuantitativeAxes(context: ExcelTemplateContext): string | undefined {
+    if (context.typeOf('x') !== 'quantitative' || context.typeOf('y') !== 'quantitative') {
+        return 'requires quantitative x and y fields for a native Excel XY chart';
+    }
+    if (context.fieldOf('shape')) {
+        return 'does not support a shape encoding in native Excel charts';
+    }
+    return undefined;
+}
\ No newline at end of file
diff --git a/packages/flint-js/src/excel/templates/waterfall.ts b/packages/flint-js/src/excel/templates/waterfall.ts
new file mode 100644
index 00000000..f368565c
--- /dev/null
+++ b/packages/flint-js/src/excel/templates/waterfall.ts
@@ -0,0 +1,68 @@
+// Copyright (c) Microsoft Corporation.
+// Licensed under the MIT License.
+
+import { resolveTotalsMode } from '../../chart-types/waterfall';
+import { formatSpecToExcel } from '../chart-types';
+import type { ExcelTemplateDef } from './types';
+
+export const excelWaterfallChartDef: ExcelTemplateDef = {
+    chart: 'Waterfall Chart',
+    channels: ['x', 'y', 'color'],
+    typeMapping: { vertical: 'Waterfall' },
+    validate: ({ input, table, fieldOf, typeOf }) => {
+        if (!fieldOf('x')) return 'requires a category x field for a native Excel waterfall chart';
+        if (typeOf('y') !== 'quantitative') {
+            return 'requires a quantitative y field for a native Excel waterfall chart';
+        }
+        if (fieldOf('color') && typeOf('color') === 'quantitative') {
+            return 'requires color to contain start/delta/end roles for a native Excel waterfall chart';
+        }
+        const valueField = fieldOf('y')!;
+        const typeField = fieldOf('color');
+        const values = table.map((row) => Number(row[valueField])).filter(Number.isFinite);
+        if (typeField) {
+            const unsupportedTotal = table.findIndex((row, index) => {
+                const role = String(row[typeField] ?? '').toLowerCase();
+                return index > 0 && (role === 'start' || role === 'end' || role === 'total');
+            });
+            if (unsupportedTotal >= 0) {
+                return 'cannot mark non-initial total points because Office.js does not expose Waterfall total-point semantics';
+            }
+        } else {
+            const totals = resolveTotalsMode(values, input.chart_spec.chartProperties?.totals);
+            if (totals === 'last' || totals === 'both') {
+                return 'cannot mark a final total because Office.js does not expose Waterfall total-point semantics';
+            }
+        }
+        return undefined;
+    },
+    instantiate: ({ input, table, semantics, fieldOf }) => {
+        const categoryField = fieldOf('x')!;
+        const valueField = fieldOf('y')!;
+        const rows = table.filter((row) => row[categoryField] != null && Number.isFinite(Number(row[valueField])));
+
+        const base = input.chart_spec.baseSize ?? { width: 480, height: 320 };
+        return {
+            schema: 'flint.excel.chart/v1',
+            kind: 'chart',
+            chartType: 'Waterfall',
+            title: `${valueField} by ${categoryField}`,
+            seriesBy: 'Columns',
+            data: [
+                [categoryField, valueField],
+                ...rows.map((row) => [String(row[categoryField]), Number(row[valueField])]),
+            ],
+            categoryAxis: { title: categoryField },
+            valueAxis: {
+                title: valueField,
+                numberFormat: formatSpecToExcel(semantics.y?.format),
+            },
+            legend: { visible: false },
+            showConnectorLines: true,
+            width: base.width,
+            height: base.height,
+            warnings: [],
+            _flint: { flintType: 'Waterfall Chart', categoryField, valueField },
+        };
+    },
+};
\ No newline at end of file
diff --git a/packages/flint-js/src/excel/types.ts b/packages/flint-js/src/excel/types.ts
new file mode 100644
index 00000000..8d236eb5
--- /dev/null
+++ b/packages/flint-js/src/excel/types.ts
@@ -0,0 +1,140 @@
+// Copyright (c) Microsoft Corporation.
+// Licensed under the MIT License.
+
+/**
+ * Excel backend types.
+ *
+ * The Excel "native spec" is a declarative description of an Office.js chart:
+ * a wide/matrix data range plus chart type, axes, legend, and series config.
+ * A host renders it imperatively via the Office.js Excel API
+ * (`sheet.charts.add(type, range, seriesBy)` + `chart.getImage()`).
+ *
+ * This mirrors how the other backends emit a native artifact (Vega-Lite spec,
+ * ECharts option, Chart.js config) — here the artifact targets Excel charts.
+ */
+
+import type { ChartWarning } from '../core/types';
+
+/** Excel `ChartSeriesBy` orientation. */
+export type ExcelSeriesBy = 'Columns' | 'Rows';
+
+/** Excel `ChartLegendPosition` (subset we emit). */
+export type ExcelLegendPosition = 'Top' | 'Bottom' | 'Left' | 'Right';
+
+export interface ExcelAxisSpec {
+    /** Axis title text (from the field display name). */
+    title?: string;
+    /** Axis-label font size in points, used when dense categories need explicit sizing. */
+    labelFontSize?: number;
+    /** Number of categories between displayed labels; underlying data stays intact. */
+    tickLabelSpacing?: number;
+    /** Excel number format string, e.g. `"$#,##0"`, `"0.0%"`, `"#,##0"`. */
+    numberFormat?: string;
+    /** Reverse Excel's native category plotting order (horizontal nominal bars). */
+    reversePlotOrder?: boolean;
+    /** Explicit native-axis minimum, used for zero-anchored length/area charts. */
+    minimumScale?: number;
+    /** Explicit native-axis maximum, used to avoid excessive automatic headroom. */
+    maximumScale?: number;
+    /** Interval between major ticks on a numeric axis. */
+    majorUnit?: number;
+}
+
+export interface ExcelLegendSpec {
+    visible: boolean;
+    position?: ExcelLegendPosition;
+}
+
+export interface ExcelDataLabelsSpec {
+    visible: boolean;
+    position?: 'BestFit' | 'Center' | 'InsideBase' | 'InsideEnd' | 'OutsideEnd';
+    numberFormat?: string;
+    fontColor?: string;
+    fontSize?: number;
+}
+
+export interface ExcelNativeSeriesSpec {
+    /** Legend/series name. */
+    name: string;
+    /** Zero-based worksheet column containing X values, excluding the header row. */
+    xColumn: number;
+    /** Zero-based worksheet column containing Y values, excluding the header row. */
+    yColumn: number;
+    /** Number of populated worksheet rows in this series. */
+    rowCount: number;
+    /** Optional zero-based worksheet column containing bubble sizes. */
+    bubbleSizeColumn?: number;
+}
+
+export interface ExcelNativeSeriesFormatSpec {
+    /** Native HTML color shared by related series segments. */
+    color?: string;
+    /** Excel.ChartLineStyle string. */
+    lineStyle?: 'Continuous' | 'Dash' | 'DashDot' | 'DashDotDot' | 'Dot' | 'RoundDot';
+}
+
+export interface ExcelBoxWhiskerOptionsSpec {
+    quartileCalculation?: 'Inclusive' | 'Exclusive';
+    showInnerPoints?: boolean;
+    showMeanLine?: boolean;
+    showMeanMarker?: boolean;
+    showOutlierPoints?: boolean;
+}
+
+interface ExcelRenderSpecBase {
+    /** Stable discriminator for serialized Flint Excel artifacts. */
+    schema: 'flint.excel.chart/v1';
+    /** Chart title. */
+    title?: string;
+    /** Source values written to the worksheet. */
+    data: Array>;
+    /** Target width/height in points (from Flint layout / baseSize). */
+    width?: number;
+    height?: number;
+    /** Flint assembler warnings (overflow, etc.). */
+    warnings?: ChartWarning[];
+    /** Provenance for debugging (not consumed by the renderer). */
+    _flint?: Record;
+}
+
+/** A conventional native Excel chart rendered through `Chart.getImage()`. */
+export interface ExcelNativeChartSpec extends ExcelRenderSpecBase {
+    kind: 'chart';
+    /**
+     * The Office.js `Excel.ChartType` enum string, e.g. `"ColumnClustered"`,
+     * `"BarStacked"`, `"Line"`, `"XYScatter"`, `"Pie"`.
+     */
+    chartType: string;
+    /** Whether series run down columns or across rows of the data range. */
+    seriesBy: ExcelSeriesBy;
+    /** Explicit bindings for XY/bubble series when Excel cannot infer grouped ranges. */
+    series?: ExcelNativeSeriesSpec[];
+    /** Formatting aligned with the rendered series order. */
+    seriesFormats?: ExcelNativeSeriesFormatSpec[];
+    /** Category (label) axis. Absent for pie/doughnut (no axes). */
+    categoryAxis?: ExcelAxisSpec;
+    /** Value (measure) axis. Absent for pie/doughnut. */
+    valueAxis?: ExcelAxisSpec;
+    /** Legend visibility + position. */
+    legend?: ExcelLegendSpec;
+    /** Native chart data labels. */
+    dataLabels?: ExcelDataLabelsSpec;
+    /** Bar/column gap width (%) — bar family only. */
+    gapWidth?: number;
+    /** Bar/column series overlap (%) — 2-D bar family only. */
+    overlap?: number;
+    /** Excel bubble-size percentage (0-300), applied to every bubble series. */
+    bubbleScale?: number;
+    /** Doughnut hole size percentage (10-90), applied to every doughnut series. */
+    doughnutHoleSize?: number;
+    /** Statistical options applied to every native box-and-whisker series. */
+    boxWhiskerOptions?: ExcelBoxWhiskerOptionsSpec;
+    /** Display native connector lines between Waterfall points. */
+    showConnectorLines?: boolean;
+}
+
+/** A backend-native Excel chart artifact. */
+export type ExcelChartSpec = ExcelNativeChartSpec;
+
+/** Preferred name for the backend artifact; retained alongside ExcelChartSpec. */
+export type ExcelRenderSpec = ExcelChartSpec;
diff --git a/packages/flint-js/src/index.ts b/packages/flint-js/src/index.ts
index 5f121268..90f845c5 100644
--- a/packages/flint-js/src/index.ts
+++ b/packages/flint-js/src/index.ts
@@ -52,3 +52,6 @@ export * from './echarts';
 
 // Chart.js backend: assembleChartjs, templates, spec instantiation
 export * from './chartjs';
+
+// Excel backend: assembleExcel + Excel chart spec types
+export * from './excel';
diff --git a/packages/flint-js/src/test-data/index.ts b/packages/flint-js/src/test-data/index.ts
index c6e19771..abd5feab 100644
--- a/packages/flint-js/src/test-data/index.ts
+++ b/packages/flint-js/src/test-data/index.ts
@@ -99,7 +99,7 @@ import { genAreaTests, genStreamgraphTests } from './area-tests';
 import { genRangeAreaTests, genEChartsRangeAreaTests, genChartJsRangeAreaTests } from './range-area-tests';
 import { genEcdfTests, genEChartsEcdfTests, genChartJsEcdfTests } from './ecdf-tests';
 import {
-    genHeatmapTests, genPieTests, genRangedDotPlotTests, genLollipopTests,
+    genHeatmapTests, genPieTests, genDonutTests, genRangedDotPlotTests, genLollipopTests,
     genWaterfallTests, genBarTableTests, genCandlestickTests, genRadarTests, genPyramidTests,
     genRoseTests,
 } from './specialized-tests';
@@ -156,6 +156,7 @@ export const TEST_GENERATORS: Record TestCase[]> = {
     'Boxplot': genBoxplotTests,
     'Violin Plot': genViolinTests,
     'Pie Chart': genPieTests,
+    'Donut Chart': genDonutTests,
     'Ranged Dot Plot': genRangedDotPlotTests,
     'Area Chart': () => [...genAreaTests(), galleryFacetAreaExample()],
     'Streamgraph': genStreamgraphTests,
diff --git a/packages/flint-js/src/test-data/specialized-tests.ts b/packages/flint-js/src/test-data/specialized-tests.ts
index 4398df81..3378866e 100644
--- a/packages/flint-js/src/test-data/specialized-tests.ts
+++ b/packages/flint-js/src/test-data/specialized-tests.ts
@@ -300,6 +300,16 @@ export function genPieTests(): TestCase[] {
     return tests;
 }
 
+export function genDonutTests(): TestCase[] {
+    return genPieTests().map(test => ({
+        ...test,
+        title: test.title.replace('Pie', 'Donut'),
+        description: test.description.replace('Pie', 'Donut'),
+        chartType: 'Donut Chart',
+        chartProperties: { ...test.chartProperties, innerRadius: 50 },
+    }));
+}
+
 // ------ Ranged Dot Plot ------
 export function genRangedDotPlotTests(): TestCase[] {
     const tests: TestCase[] = [];
@@ -1136,7 +1146,7 @@ export function genCandlestickTests(): TestCase[] {
         const baseDate = new Date('2024-01-02');
         for (let i = 0; i < days; i++) {
             const date = new Date(baseDate);
-            date.setDate(baseDate.getDate() + i);
+            date.setUTCDate(baseDate.getUTCDate() + i);
             const change = (rand() - 0.48) * 4;  // slight upward bias
             const open = Math.round(price * 100) / 100;
             const close = Math.round((price + change) * 100) / 100;
@@ -1242,7 +1252,7 @@ export function genCandlestickTests(): TestCase[] {
             const baseDate = new Date('2024-03-01');
             for (let i = 0; i < 20; i++) {
                 const date = new Date(baseDate);
-                date.setDate(baseDate.getDate() + i);
+                date.setUTCDate(baseDate.getUTCDate() + i);
                 const change = (rand() - 0.48) * 4;
                 const open = Math.round(price * 100) / 100;
                 const close = Math.round((price + change) * 100) / 100;
diff --git a/packages/flint-js/src/vegalite/templates/index.ts b/packages/flint-js/src/vegalite/templates/index.ts
index 56c3c0a6..2fe6ace4 100644
--- a/packages/flint-js/src/vegalite/templates/index.ts
+++ b/packages/flint-js/src/vegalite/templates/index.ts
@@ -22,7 +22,7 @@ import { bumpChartDef } from './bump';
 import { slopeChartDef } from './slope';
 import { areaChartDef, streamgraphDef } from './area';
 import { rangeAreaChartDef } from './range-area';
-import { pieChartDef } from './pie';
+import { donutChartDef, pieChartDef } from './pie';
 import { lollipopChartDef } from './lollipop';
 import { densityPlotDef } from './density';
 import { violinPlotDef } from './violin';
@@ -250,7 +250,7 @@ export const vlTemplateDefs: { [key: string]: ChartTemplateDef[] } = Object.from
         "Bars":            [barChartDef, groupedBarChartDef, stackedBarChartDef, lollipopChartDef, waterfallChartDef, ganttChartDef, bulletChartDef],
         "Distributions":   [histogramDef, densityPlotDef, ecdfPlotDef, violinPlotDef, boxplotDef, pyramidChartDef, candlestickChartDef],
         "Lines & Areas":   [lineChartDef, sparklineDef, bumpChartDef, slopeChartDef, areaChartDef, streamgraphDef, rangeAreaChartDef],
-        "Circular":        [pieChartDef, roseChartDef, radarChartDef],
+        "Circular":        [pieChartDef, donutChartDef, roseChartDef, radarChartDef],
         "Tables & Maps":   [heatmapDef, barTableDef, kpiCardDef, mapDef, choroplethDef],
     }).map(([category, defs]) => [category, defs.map(withInjectedProperties)]),
 );
diff --git a/packages/flint-js/src/vegalite/templates/pie.ts b/packages/flint-js/src/vegalite/templates/pie.ts
index b83a771f..d8eb4c3b 100644
--- a/packages/flint-js/src/vegalite/templates/pie.ts
+++ b/packages/flint-js/src/vegalite/templates/pie.ts
@@ -107,3 +107,8 @@ export const pieChartDef: ChartTemplateDef = {
         },
     ] as ChartPropertyDef[],
 };
+
+export const donutChartDef: ChartTemplateDef = {
+    ...pieChartDef,
+    chart: "Donut Chart",
+};
diff --git a/packages/flint-js/tests/excel-codegen.test.ts b/packages/flint-js/tests/excel-codegen.test.ts
new file mode 100644
index 00000000..36206977
--- /dev/null
+++ b/packages/flint-js/tests/excel-codegen.test.ts
@@ -0,0 +1,61 @@
+import { describe, expect, it } from 'vitest';
+import { generateOfficeJs, prepareExcelArtifact } from '../src/excel';
+import type { ExcelNativeChartSpec } from '../src/excel';
+
+const funnelArtifact: ExcelNativeChartSpec = {
+    schema: 'flint.excel.chart/v1',
+    kind: 'chart',
+    chartType: 'Funnel',
+    seriesBy: 'Columns',
+    title: 'Amount by Stage',
+    data: [['Stage', 'Amount'], ['Prospects', 500], ['Qualified', 425]],
+    dataLabels: {
+        visible: true,
+        numberFormat: '#,##0',
+        fontColor: '#FFFFFF',
+        fontSize: 11,
+    },
+    seriesFormats: [{ color: '#4472C4' }],
+    width: 480,
+    height: 320,
+};
+
+describe('Excel Office.js artifacts', () => {
+    it('prepares a versioned artifact without legacy coercion', () => {
+        expect(prepareExcelArtifact(funnelArtifact)).toMatchObject({
+            chartType: 'Funnel',
+            rangeA1: 'A1:B3',
+            rows: 3,
+            columns: 2,
+            hasAxes: false,
+        });
+        expect(() => prepareExcelArtifact({ ...funnelArtifact, chartType: 'funnel' })).toThrow(
+            'Unsupported Excel chart type: funnel.',
+        );
+        expect(() => prepareExcelArtifact({ ...funnelArtifact, schema: undefined })).toThrow(
+            'Expected a flint.excel.chart/v1 chart artifact.',
+        );
+    });
+
+    it('generates standalone Office.js with artifact formatting', () => {
+        const generated = generateOfficeJs(funnelArtifact, { scale: 2 });
+        expect(generated.meta).toEqual({
+            schema: 'flint.excel.chart/v1',
+            rangeA1: 'A1:B3',
+            chartType: 'Funnel',
+            rows: 3,
+            columns: 2,
+        });
+        expect(generated.code).toContain('sheet.charts.add("Funnel", dataRange, "Columns")');
+        expect(generated.code).toContain('chart.dataLabels.format.font.color = "#FFFFFF"');
+        expect(generated.code).toContain('chart.series.getItemAt(index)');
+        expect(generated.code).toContain('chart.getImage(1280, 853, Excel.ImageFittingMode.fit)');
+        expect(() => new Function('Excel', `${generated.code}\nreturn main;`)).not.toThrow();
+    });
+
+    it('keeps host options out of the serialized artifact', () => {
+        generateOfficeJs(funnelArtifact, { scale: 4, cleanWorksheet: true });
+        expect(funnelArtifact).not.toHaveProperty('scale');
+        expect(funnelArtifact).not.toHaveProperty('cleanWorksheet');
+    });
+});
diff --git a/packages/flint-js/tests/excel-runtime.test.ts b/packages/flint-js/tests/excel-runtime.test.ts
new file mode 100644
index 00000000..70b4efb4
--- /dev/null
+++ b/packages/flint-js/tests/excel-runtime.test.ts
@@ -0,0 +1,124 @@
+import { describe, expect, it, vi } from 'vitest';
+import { renderExcelChart, type OfficeJsExcelApi } from '../src/excel';
+import type { ExcelNativeChartSpec } from '../src/excel';
+
+function createMockExcel() {
+    const calls = {
+        chartType: '',
+        seriesBy: '',
+        rangeAddress: '',
+        values: null as unknown,
+        numberFormat: null as unknown,
+        image: null as unknown,
+        labels: {} as Record,
+        fillColor: '',
+        clears: 0,
+        syncs: 0,
+    };
+    const series = {
+        format: {
+            fill: { setSolidColor: (color: string) => { calls.fillColor = color; } },
+            line: {},
+        },
+    };
+    const chart = {
+        series: { getItemAt: () => series },
+        title: {},
+        legend: {},
+        dataLabels: {
+            format: { font: {} },
+            set visible(value: boolean) { calls.labels.visible = value; },
+            set position(value: string) { calls.labels.position = value; },
+            set numberFormat(value: string) { calls.labels.numberFormat = value; },
+        },
+        axes: {},
+        getImage: (width: number, height: number, mode: unknown) => {
+            calls.image = { width, height, mode };
+            return { value: 'iVBORw0KGgoMOCK' };
+        },
+    };
+    Object.defineProperties(chart.dataLabels.format.font, {
+        color: { set: (value: string) => { calls.labels.fontColor = value; } },
+        size: { set: (value: number) => { calls.labels.fontSize = value; } },
+    });
+    const range = {
+        set values(value: unknown) { calls.values = value; },
+        set numberFormat(value: unknown) { calls.numberFormat = value; },
+    };
+    const sheet = {
+        charts: {
+            items: [],
+            load: vi.fn(),
+            add: (chartType: string, _range: unknown, seriesBy: string) => {
+                calls.chartType = chartType;
+                calls.seriesBy = seriesBy;
+                return chart;
+            },
+        },
+        getUsedRangeOrNullObject: () => ({
+            isNullObject: false,
+            clear: () => { calls.clears += 1; },
+        }),
+        getRange: (address: string) => {
+            calls.rangeAddress = address;
+            return range;
+        },
+    };
+    const run = vi.fn(async (callback: (context: unknown) => Promise) => callback({
+        workbook: { worksheets: { getActiveWorksheet: () => sheet } },
+        sync: async () => { calls.syncs += 1; },
+    }));
+    const excel = {
+        run,
+        ImageFittingMode: { fit: 'fit' },
+    } as OfficeJsExcelApi;
+    return { excel, calls, run };
+}
+
+const artifact: ExcelNativeChartSpec = {
+    schema: 'flint.excel.chart/v1',
+    kind: 'chart',
+    chartType: 'Funnel',
+    seriesBy: 'Columns',
+    title: 'Amount by Stage',
+    data: [['Stage', 'Amount'], ['Prospects', 500], ['Qualified', 425]],
+    dataLabels: {
+        visible: true,
+        numberFormat: '#,##0',
+        fontColor: '#FFFFFF',
+        fontSize: 11,
+    },
+    seriesFormats: [{ color: '#4472C4' }],
+    width: 480,
+    height: 320,
+};
+
+describe('renderExcelChart', () => {
+    it('executes a Flint artifact against the Office.js object model', async () => {
+        const { excel, calls } = createMockExcel();
+        const result = await renderExcelChart(excel, artifact, { scale: 2 });
+
+        expect(calls.rangeAddress).toBe('A1:B3');
+        expect(calls.values).toEqual(artifact.data);
+        expect(calls.chartType).toBe('Funnel');
+        expect(calls.seriesBy).toBe('Columns');
+        expect(calls.labels).toEqual({
+            visible: true,
+            numberFormat: '#,##0',
+            fontColor: '#FFFFFF',
+            fontSize: 11,
+        });
+        expect(calls.fillColor).toBe('#4472C4');
+        expect(calls.image).toEqual({ width: 1280, height: 853, mode: 'fit' });
+        expect(calls.clears).toBe(1);
+        expect(result).toEqual({ pngBase64: 'iVBORw0KGgoMOCK', inspection: null });
+    });
+
+    it('rejects invalid artifacts before entering Excel.run', async () => {
+        const { excel, run } = createMockExcel();
+        await expect(renderExcelChart(excel, { ...artifact, chartType: 'funnel' })).rejects.toThrow(
+            'Unsupported Excel chart type: funnel.',
+        );
+        expect(run).not.toHaveBeenCalled();
+    });
+});
diff --git a/packages/flint-js/tests/filter-overflow.test.ts b/packages/flint-js/tests/filter-overflow.test.ts
new file mode 100644
index 00000000..4f828c61
--- /dev/null
+++ b/packages/flint-js/tests/filter-overflow.test.ts
@@ -0,0 +1,79 @@
+// Copyright (c) Microsoft Corporation.
+// Licensed under the MIT License.
+
+import { describe, expect, it } from 'vitest';
+import { filterOverflow } from '../src/core/filter-overflow';
+import type { ChannelSemantics, ChartEncoding } from '../src/core/types';
+
+const budgets = { maxValues: { x: 3 } };
+const marks = new Set(['bar']);
+const annotation = { semanticType: 'Category' };
+
+function keptCategories(
+  data: Array<{ Category: string; Value: number }>,
+  categorySemantics: Omit,
+  categoryEncoding: ChartEncoding,
+): string[] {
+  const result = filterOverflow(
+    {
+      x: { semanticAnnotation: annotation, ...categorySemantics },
+      y: { field: 'Value', type: 'quantitative', semanticAnnotation: { semanticType: 'Quantity' } },
+    },
+    { axisFlags: { x: { banded: true } } },
+    {
+      x: categoryEncoding,
+      y: { field: 'Value' },
+    },
+    data,
+    budgets,
+    marks,
+  );
+  return result.truncations[0].keptValues as string[];
+}
+
+describe('overflow category selection', () => {
+  it('preserves encounter order when no sort is selected', () => {
+    const data = [
+      { Category: 'Delta', Value: 100 },
+      { Category: 'Alpha', Value: 1 },
+      { Category: 'Charlie', Value: 80 },
+      { Category: 'Bravo', Value: 50 },
+    ];
+
+    expect(keptCategories(
+      data,
+      { field: 'Category', type: 'nominal' },
+      { field: 'Category' },
+    )).toEqual(['Delta', 'Alpha', 'Charlie']);
+  });
+
+  it('uses canonical semantic order when available', () => {
+    const data = [
+      { Category: 'Mar', Value: 100 },
+      { Category: 'Jan', Value: 1 },
+      { Category: 'Apr', Value: 80 },
+      { Category: 'Feb', Value: 50 },
+    ];
+
+    expect(keptCategories(
+      data,
+      { field: 'Category', type: 'ordinal', ordinalSortOrder: ['Jan', 'Feb', 'Mar', 'Apr'] },
+      { field: 'Category' },
+    )).toEqual(['Jan', 'Feb', 'Mar']);
+  });
+
+  it('uses an explicitly selected value sort', () => {
+    const data = [
+      { Category: 'Delta', Value: 100 },
+      { Category: 'Alpha', Value: 1 },
+      { Category: 'Charlie', Value: 80 },
+      { Category: 'Bravo', Value: 50 },
+    ];
+
+    expect(keptCategories(
+      data,
+      { field: 'Category', type: 'nominal' },
+      { field: 'Category', sortBy: 'y', sortOrder: 'descending' },
+    )).toEqual(['Delta', 'Charlie', 'Bravo']);
+  });
+});
diff --git a/packages/flint-js/tests/heatmap-colors.test.ts b/packages/flint-js/tests/heatmap-colors.test.ts
index 497cf4d2..0c29a623 100644
--- a/packages/flint-js/tests/heatmap-colors.test.ts
+++ b/packages/flint-js/tests/heatmap-colors.test.ts
@@ -2,7 +2,7 @@
 // Licensed under the MIT License.
 
 import { describe, expect, it } from 'vitest';
-import { assembleECharts, assembleVegaLite } from '../src';
+import { assembleECharts, assembleExcel, assembleVegaLite } from '../src';
 
 const HEATMAP_DATA = [
   { day: 'Mon', hour: '09:00', value: 1 },
@@ -50,6 +50,18 @@ function divergingHeatmapInput() {
 }
 
 describe('heatmap color defaults', () => {
+  it('rejects heatmaps because Office.js has no native heatmap chart type', () => {
+    expect(() => assembleExcel(heatmapInput())).toThrow(
+      'Excel backend does not support chart type "Heatmap" as a native Office.js chart.',
+    );
+  });
+
+  it('also rejects diverging heatmaps rather than emulating a color scale', () => {
+    expect(() => assembleExcel(divergingHeatmapInput())).toThrow(
+      'Excel backend does not support chart type "Heatmap" as a native Office.js chart.',
+    );
+  });
+
   it('uses blues for non-diverging Vega-Lite heatmaps by default', () => {
     const spec = assembleVegaLite(heatmapInput()) as any;
 
diff --git a/packages/flint-js/tests/smoke.test.ts b/packages/flint-js/tests/smoke.test.ts
index 1684754d..9cf8957b 100644
--- a/packages/flint-js/tests/smoke.test.ts
+++ b/packages/flint-js/tests/smoke.test.ts
@@ -6,6 +6,7 @@ import {
   assembleVegaLite,
   assembleECharts,
   assembleChartjs,
+  assembleExcel,
 } from '../src';
 
 const DATA = [
@@ -47,6 +48,865 @@ describe('public API smoke', () => {
     expect(config.type ?? config.data ?? config.options).toBeDefined();
   });
 
+  it('assembleExcel returns an Excel chart spec with a wide data matrix', () => {
+    const spec = assembleExcel(INPUT) as any;
+    expect(spec).toBeDefined();
+    // XYScatter (both axes quantitative), wide matrix with a header row
+    expect(spec.chartType).toBe('XYScatter');
+    expect(Array.isArray(spec.data)).toBe(true);
+    expect(spec.data[0]).toEqual([
+      'JP weight', 'JP mpg',
+      'US weight', 'US mpg',
+      'EU weight', 'EU mpg',
+    ]);
+    expect(spec.series).toEqual([
+      { name: 'JP', xColumn: 0, yColumn: 1, rowCount: 1 },
+      { name: 'US', xColumn: 2, yColumn: 3, rowCount: 1 },
+      { name: 'EU', xColumn: 4, yColumn: 5, rowCount: 1 },
+    ]);
+    expect(spec.seriesBy).toBe('Columns');
+  });
+
+  it('assembleExcel preserves bar-template roles when both axes are quantitative', () => {
+    const spec = assembleExcel({
+      data: { values: [{ X: 1, Value: 10 }, { X: 2, Value: 20 }] },
+      semantic_types: { X: 'Quantity', Value: 'Quantity' },
+      chart_spec: { chartType: 'Bar Chart', encodings: { x: 'X', y: 'Value' } },
+    }) as any;
+
+    expect(spec.kind).toBe('chart');
+    expect(spec.chartType).toBe('ColumnClustered');
+    expect(spec.data).toEqual([['X', 'Value'], ['1', 10], ['2', 20]]);
+  });
+
+  it('assembleExcel uses stacked charts for a colored Bar Chart', () => {
+    const spec = assembleExcel({
+      data: { values: [
+        { Category: 'A', Value: 3, Segment: 'US' },
+        { Category: 'A', Value: 4, Segment: 'JP' },
+      ] },
+      semantic_types: { Category: 'Category', Value: 'Quantity', Segment: 'Category' },
+      chart_spec: { chartType: 'Bar Chart', encodings: { x: 'Category', y: 'Value', color: 'Segment' } },
+    }) as any;
+
+    expect(spec.chartType).toBe('ColumnStacked');
+    expect(spec.data[0]).toEqual(['Category', 'US', 'JP']);
+  });
+
+  it('assembleExcel emits native histogram data without requiring a category', () => {
+    const spec = assembleExcel({
+      data: { values: [{ Value: 1 }, { Value: 2 }, { Value: 3 }] },
+      semantic_types: { Value: 'Quantity' },
+      chart_spec: { chartType: 'Histogram', encodings: { x: 'Value' } },
+    }) as any;
+
+    expect(spec.chartType).toBe('ColumnClustered');
+    expect(spec.data[0]).toEqual(['Value', 'Count']);
+    expect(spec.data.slice(1).reduce((sum: number, row: any[]) => sum + row[1], 0)).toBe(3);
+    expect(spec.gapWidth).toBe(0);
+  });
+
+  it('assembleExcel emits a native delta Waterfall with connector lines', () => {
+    const spec = assembleExcel({
+      data: { values: [
+        { Department: 'Engineering', Variance: 120 },
+        { Department: 'Sales', Variance: -45 },
+        { Department: 'Marketing', Variance: -80 },
+      ] },
+      semantic_types: { Department: 'Category', Variance: 'Quantity' },
+      chart_spec: {
+        chartType: 'Waterfall Chart',
+        encodings: { x: 'Department', y: 'Variance' },
+        chartProperties: { totals: 'first' },
+      },
+    }) as any;
+
+    expect(spec.kind).toBe('chart');
+    expect(spec.chartType).toBe('Waterfall');
+    expect(spec.data).toEqual([
+      ['Department', 'Variance'],
+      ['Engineering', 120],
+      ['Sales', -45],
+      ['Marketing', -80],
+    ]);
+    expect(spec.showConnectorLines).toBe(true);
+  });
+
+  it('assembleExcel normalizes native Radar series by each metric maximum', () => {
+    const spec = assembleExcel({
+      data: { values: [
+        { Team: 'A', Metric: 'Speed', Value: 80 },
+        { Team: 'B', Metric: 'Speed', Value: 100 },
+        { Team: 'A', Metric: 'Cost', Value: 20 },
+        { Team: 'B', Metric: 'Cost', Value: 40 },
+        { Team: 'A', Metric: 'Quality', Value: 75 },
+        { Team: 'B', Metric: 'Quality', Value: 50 },
+      ] },
+      semantic_types: { Team: 'Category', Metric: 'Category', Value: 'Quantity' },
+      chart_spec: {
+        chartType: 'Radar Chart',
+        encodings: { x: 'Metric', y: 'Value', color: 'Team' },
+      },
+    }) as any;
+
+    expect(spec.chartType).toBe('RadarMarkers');
+    expect(spec.data).toEqual([
+      ['Metric', 'A', 'B'],
+      ['Speed (100)', 0.8, 1],
+      ['Cost (50)', 0.4, 0.8],
+      ['Quality (100)', 0.75, 0.5],
+    ]);
+    expect(spec.valueAxis).toEqual({ minimumScale: 0, maximumScale: 1, majorUnit: 0.25 });
+    expect(spec.legend).toEqual({ visible: true, position: 'Bottom' });
+    expect(spec.warnings).toEqual([expect.objectContaining({ code: 'excel-radar-fill-unsupported' })]);
+  });
+
+  it('assembleExcel maps unfilled Radar to native markers and rejects facets', () => {
+    const input = {
+      data: { values: [
+        { Metric: 'A', Value: 1, Region: 'North' },
+        { Metric: 'B', Value: 2, Region: 'North' },
+        { Metric: 'C', Value: 3, Region: 'North' },
+      ] },
+      semantic_types: { Metric: 'Category', Value: 'Quantity', Region: 'Category' },
+      chart_spec: {
+        chartType: 'Radar Chart',
+        encodings: { x: 'Metric', y: 'Value' },
+        chartProperties: { filled: false },
+      },
+    };
+    expect((assembleExcel(input) as any).chartType).toBe('RadarMarkers');
+
+    expect(() => assembleExcel({
+      ...input,
+      chart_spec: {
+        ...input.chart_spec,
+        encodings: { ...input.chart_spec.encodings, column: 'Region' },
+      },
+    } as any)).toThrow('does not support faceting');
+  });
+
+  it('assembleExcel rejects generic chart facets instead of collapsing panels', () => {
+    expect(() => assembleExcel({
+      data: { values: [
+        { Region: 'North', Category: 'A', Value: 10 },
+        { Region: 'South', Category: 'A', Value: 20 },
+      ] },
+      semantic_types: { Region: 'Category', Category: 'Category', Value: 'Quantity' },
+      chart_spec: {
+        chartType: 'Bar Chart',
+        encodings: { x: 'Category', y: 'Value', column: 'Region' },
+      },
+    })).toThrow('does not support faceting in one native Excel chart');
+  });
+
+  it('assembleExcel rejects Waterfalls requiring a non-initial total point', () => {
+    expect(() => assembleExcel({
+      data: { values: [
+        { Step: 'Opening', Value: 500, Type: 'start' },
+        { Step: 'Sales', Value: 200, Type: 'delta' },
+        { Step: 'Closing', Value: 700, Type: 'end' },
+      ] },
+      semantic_types: { Step: 'Category', Value: 'Quantity', Type: 'Category' },
+      chart_spec: {
+        chartType: 'Waterfall Chart',
+        encodings: { x: 'Step', y: 'Value', color: 'Type' },
+      },
+    })).toThrow('Office.js does not expose Waterfall total-point semantics');
+  });
+
+  it('assembleExcel preserves raw observations for native Boxplot quartiles', () => {
+    const spec = assembleExcel({
+      data: { values: [
+        { Group: 'A', Value: 1 },
+        { Group: 'A', Value: 5 },
+        { Group: 'B', Value: 2 },
+        { Group: 'B', Value: 8 },
+      ] },
+      semantic_types: { Group: 'Category', Value: 'Quantity' },
+      chart_spec: { chartType: 'Boxplot', encodings: { x: 'Group', y: 'Value' } },
+    }) as any;
+
+    expect(spec.chartType).toBe('BoxWhisker');
+    expect(spec.data).toEqual([
+      ['Group', 'Value'],
+      ['A', 1],
+      ['A', 5],
+      ['B', 2],
+      ['B', 8],
+    ]);
+    expect(spec.boxWhiskerOptions).toEqual({
+      quartileCalculation: 'Inclusive',
+      showInnerPoints: false,
+      showMeanLine: false,
+      showMeanMarker: false,
+      showOutlierPoints: true,
+    });
+  });
+
+  it('assembleExcel emits the native StockOHLC date-open-high-low-close range', () => {
+    const spec = assembleExcel({
+      data: { values: [
+        { Date: '2026-01-02', Open: 100, High: 108, Low: 98, Close: 105 },
+        { Date: '2026-01-05', Open: 105, High: 110, Low: 101, Close: 103 },
+      ] },
+      semantic_types: { Date: 'Date', Open: 'Quantity', High: 'Quantity', Low: 'Quantity', Close: 'Quantity' },
+      chart_spec: {
+        chartType: 'Candlestick Chart',
+        encodings: { x: 'Date', open: 'Open', high: 'High', low: 'Low', close: 'Close' },
+      },
+    }) as any;
+
+    expect(spec.chartType).toBe('StockOHLC');
+    expect(spec.seriesBy).toBe('Columns');
+    expect(spec.data).toEqual([
+      ['Date', 'Open', 'High', 'Low', 'Close'],
+      [46024, 100, 108, 98, 105],
+      [46027, 105, 110, 101, 103],
+    ]);
+    expect(spec.categoryAxis.numberFormat).toBe('yyyy-mm-dd');
+    expect(spec.valueAxis).toEqual({
+      title: 'Price',
+      numberFormat: undefined,
+      minimumScale: 95,
+      maximumScale: 115,
+      majorUnit: 5,
+    });
+    expect(spec.legend).toEqual({ visible: false });
+  });
+
+  it('assembleExcel rejects invalid native Candlestick rows and unsupported encodings', () => {
+    const input = {
+      data: { values: [
+        { Date: '2026-01-02', Open: 100, High: 99, Low: 98, Close: 105, Ticker: 'A' },
+      ] },
+      semantic_types: {
+        Date: 'Date', Open: 'Quantity', High: 'Quantity', Low: 'Quantity', Close: 'Quantity', Ticker: 'Category',
+      },
+      chart_spec: {
+        chartType: 'Candlestick Chart',
+        encodings: { x: 'Date', open: 'Open', high: 'High', low: 'Low', close: 'Close' },
+      },
+    };
+
+    expect(() => assembleExcel(input)).toThrow('requires coherent OHLC values at row 1');
+    expect(() => assembleExcel({
+      ...input,
+      data: { values: [
+        { Date: '2026-01-05', Open: 100, High: 108, Low: 98, Close: 105, Ticker: 'A' },
+        { Date: '2026-01-02', Open: 105, High: 110, Low: 101, Close: 103, Ticker: 'A' },
+      ] },
+    })).toThrow('sorted in strictly increasing chronological order');
+    expect(() => assembleExcel({
+      ...input,
+      data: { values: [{ Date: '2026-01-02', Open: 100, High: 108, Low: 98, Close: 105, Ticker: 'A' }] },
+      chart_spec: {
+        ...input.chart_spec,
+        encodings: { ...input.chart_spec.encodings, color: 'Ticker' },
+      },
+    })).toThrow('does not support color, group, or detail encodings');
+    expect(() => assembleExcel({
+      ...input,
+      semantic_types: { ...input.semantic_types, Open: 'Category' },
+      data: { values: [{ Date: '2026-01-02', Open: 'start', High: 108, Low: 98, Close: 105, Ticker: 'A' }] },
+    })).toThrow('requires a quantitative open field');
+    expect(() => assembleExcel({
+      ...input,
+      data: { values: [{ Date: '2026-01-02', Open: 100, High: Number.POSITIVE_INFINITY, Low: 98, Close: 105, Ticker: 'A' }] },
+    })).toThrow('requires finite open, high, low, and close values');
+  });
+
+  it('assembleExcel accepts an explicitly ordered date-like Candlestick x field', () => {
+    const spec = assembleExcel({
+      data: { values: [
+        { Session: '2026-01-02', Open: 100, High: 108, Low: 98, Close: 105 },
+        { Session: '2026-01-05', Open: 105, High: 110, Low: 101, Close: 103 },
+      ] },
+      semantic_types: { Session: 'Category', Open: 'Quantity', High: 'Quantity', Low: 'Quantity', Close: 'Quantity' },
+      chart_spec: {
+        chartType: 'Candlestick Chart',
+        encodings: {
+          x: { field: 'Session', type: 'ordinal' },
+          open: 'Open', high: 'High', low: 'Low', close: 'Close',
+        },
+      },
+    }) as any;
+
+    expect(spec.chartType).toBe('StockOHLC');
+    expect(spec.data.slice(1).map((row: any[]) => row[0])).toEqual([46024, 46027]);
+  });
+
+  it('assembleExcel thins dense Candlestick date labels without dropping OHLC rows', () => {
+    const values = Array.from({ length: 90 }, (_, index) => ({
+      Date: new Date(Date.UTC(2026, 0, index + 1)).toISOString().slice(0, 10),
+      Open: 100 + index,
+      High: 103 + index,
+      Low: 98 + index,
+      Close: 101 + index,
+    }));
+    const spec = assembleExcel({
+      data: { values },
+      semantic_types: { Date: 'Date', Open: 'Quantity', High: 'Quantity', Low: 'Quantity', Close: 'Quantity' },
+      chart_spec: {
+        chartType: 'Candlestick Chart',
+        encodings: { x: 'Date', open: 'Open', high: 'High', low: 'Low', close: 'Close' },
+        baseSize: { width: 640, height: 380 },
+      },
+    }) as any;
+
+    expect(spec.data).toHaveLength(91);
+    expect(spec.categoryAxis.tickLabelSpacing).toBe(3);
+  });
+
+  it('assembleExcel rejects color-grouped native Boxplots', () => {
+    expect(() => assembleExcel({
+      data: { values: [{ Group: 'A', Value: 1, Segment: 'X' }] },
+      semantic_types: { Group: 'Category', Value: 'Quantity', Segment: 'Category' },
+      chart_spec: { chartType: 'Boxplot', encodings: { x: 'Group', y: 'Value', color: 'Segment' } },
+    })).toThrow('does not yet support color-grouped');
+  });
+
+  it('assembleExcel rejects Boxplot min-max whiskers', () => {
+    expect(() => assembleExcel({
+      data: { values: [{ Group: 'A', Value: 1 }, { Group: 'A', Value: 2 }] },
+      semantic_types: { Group: 'Category', Value: 'Quantity' },
+      chart_spec: {
+        chartType: 'Boxplot',
+        encodings: { x: 'Group', y: 'Value' },
+        chartProperties: { whiskerMethod: 'minmax' },
+      },
+    })).toThrow('does not support min-max whiskers');
+  });
+
+  it('assembleExcel uses native numeric-x lines instead of row-index categories', () => {
+    const spec = assembleExcel({
+      data: { values: [{ X: 0, Value: 2 }, { X: 10, Value: 5 }] },
+      semantic_types: { X: 'Quantity', Value: 'Quantity' },
+      chart_spec: { chartType: 'Line Chart', encodings: { x: 'X', y: 'Value' } },
+    }) as any;
+
+    expect(spec.chartType).toBe('XYScatterLines');
+    expect(spec.data).toEqual([['X', 'Value'], [0, 2], [10, 5]]);
+    expect(spec.categoryAxis).toMatchObject({ minimumScale: 0, maximumScale: 10.5, majorUnit: 2 });
+    expect(spec.valueAxis).toMatchObject({ minimumScale: 2, maximumScale: 5.3, majorUnit: 1 });
+  });
+
+  it('assembleExcel binds grouped numeric-x lines as explicit XY series', () => {
+    const spec = assembleExcel({
+      data: { values: [
+        { X: 1, Value: 10, Series: 'A' },
+        { X: 2, Value: 20, Series: 'A' },
+        { X: 1, Value: 30, Series: 'B' },
+      ] },
+      semantic_types: { X: 'Quantity', Value: 'Quantity', Series: 'Category' },
+      chart_spec: { chartType: 'Line Chart', encodings: { x: 'X', y: 'Value', color: 'Series' } },
+    }) as any;
+
+    expect(spec.chartType).toBe('XYScatterLines');
+    expect(spec.series).toEqual([
+      { name: 'A', xColumn: 0, yColumn: 1, rowCount: 2 },
+      { name: 'B', xColumn: 2, yColumn: 3, rowCount: 1 },
+    ]);
+    expect(spec.data[0]).toEqual(['A X', 'A Value', 'B X', 'B Value']);
+  });
+
+  it('assembleExcel thins dense temporal labels without dropping data points', () => {
+    const values = Array.from({ length: 60 }, (_value, index) => ({
+      Date: new Date(Date.UTC(2026, 0, index + 1)).toISOString().slice(0, 10),
+      Value: index,
+    }));
+    const spec = assembleExcel({
+      data: { values },
+      semantic_types: { Date: 'Date', Value: 'Quantity' },
+      chart_spec: {
+        chartType: 'Area Chart',
+        encodings: { x: 'Date', y: 'Value' },
+        baseSize: { width: 550, height: 400 },
+      },
+    }) as any;
+
+    expect(spec.data).toHaveLength(values.length + 1);
+    expect(spec.categoryAxis.tickLabelSpacing).toBe(2);
+  });
+
+  it('assembleExcel emits grouped bubble series with explicit size ranges', () => {
+    const spec = assembleExcel({
+      data: { values: [
+        { X: 1, Y: 10, Size: 5, Segment: 'A' },
+        { X: 2, Y: 20, Size: 8, Segment: 'B' },
+      ] },
+      semantic_types: { X: 'Quantity', Y: 'Quantity', Size: 'Quantity', Segment: 'Category' },
+      chart_spec: { chartType: 'Scatter Plot', encodings: { x: 'X', y: 'Y', size: 'Size', color: 'Segment' } },
+    }) as any;
+
+    expect(spec.kind).toBe('chart');
+    expect(spec.chartType).toBe('Bubble');
+    expect(spec.series).toEqual([
+      { name: 'A', xColumn: 0, yColumn: 1, rowCount: 1, bubbleSizeColumn: 2 },
+      { name: 'B', xColumn: 3, yColumn: 4, rowCount: 1, bubbleSizeColumn: 5 },
+    ]);
+    expect(spec.data[0]).toEqual(['A X', 'A Y', 'A Size', 'B X', 'B Y', 'B Size']);
+    expect(spec.data[1].slice(0, 2)).toEqual([1, 10]);
+    expect(spec.data[1].slice(3, 5)).toEqual([2, 20]);
+    expect(spec.data[1][2]).toBeLessThan(spec.data[1][5]);
+  });
+
+  it('assembleExcel rejects categorical scatter positions instead of drawing worksheet shapes', () => {
+    expect(() => assembleExcel({
+      data: { values: [
+        { Category: 'A', Group: 'One', Size: 3 },
+        { Category: 'B', Group: 'Two', Size: 8 },
+      ] },
+      semantic_types: { Category: 'Category', Group: 'Category', Size: 'Quantity' },
+      chart_spec: { chartType: 'Scatter Plot', encodings: { x: 'Category', y: 'Group', size: 'Size' } },
+    })).toThrow('requires quantitative x and y fields');
+  });
+
+  it('assembleExcel rejects continuous-color scatter instead of dropping the color encoding', () => {
+    expect(() => assembleExcel({
+      data: { values: [
+        { X: 1, Y: 10, Color: 0.2 },
+        { X: 2, Y: 20, Color: 0.8 },
+      ] },
+      semantic_types: { X: 'Quantity', Y: 'Quantity', Color: 'Quantity' },
+      chart_spec: { chartType: 'Scatter Plot', encodings: { x: 'X', y: 'Y', color: 'Color' } },
+    })).toThrow('does not support continuous color');
+  });
+
+  it('assembleExcel rejects categorical-y lines instead of drawing worksheet geometry', () => {
+    expect(() => assembleExcel({
+      data: { values: [
+        { X: 0, Step: 'Stage 1' },
+        { X: 50, Step: 'Stage 2' },
+        { X: 100, Step: 'Stage 3' },
+      ] },
+      semantic_types: { X: 'Quantity', Step: 'Category' },
+      chart_spec: { chartType: 'Line Chart', encodings: { x: 'X', y: 'Step' } },
+    })).toThrow('requires a quantitative y field');
+  });
+
+  it('assembleExcel rejects continuous-color lines instead of overlaying worksheet shapes', () => {
+    expect(() => assembleExcel({
+      data: { values: [
+        { Stage: 'Stage 1', Value: 10, Color: 0 },
+        { Stage: 'Stage 2', Value: 20, Color: 5 },
+        { Stage: 'Stage 3', Value: 15, Color: 10 },
+      ] },
+      semantic_types: { Stage: 'Category', Value: 'Quantity', Color: 'Quantity' },
+      chart_spec: { chartType: 'Line Chart', encodings: { x: 'Stage', y: 'Value', color: 'Color' } },
+    })).toThrow('does not support continuous color');
+  });
+
+  it('assembleExcel maps ordinal bubble sizes to finite ordered areas', () => {
+    const spec = assembleExcel({
+      data: { values: [
+        { X: 1, Y: 10, Level: 'Low' },
+        { X: 2, Y: 20, Level: 'Medium' },
+        { X: 3, Y: 30, Level: 'High' },
+      ] },
+      semantic_types: { X: 'Quantity', Y: 'Quantity', Level: 'Rank' },
+      chart_spec: { chartType: 'Scatter Plot', encodings: { x: 'X', y: 'Y', size: 'Level' } },
+    }) as any;
+
+    expect(spec.chartType).toBe('Bubble');
+    expect(spec.series).toEqual([
+      { name: 'Y', xColumn: 0, yColumn: 1, rowCount: 3, bubbleSizeColumn: 2 },
+    ]);
+    const sizes = spec.data.slice(1).map((row: any[]) => row[2]);
+    expect(sizes.every(Number.isFinite)).toBe(true);
+    expect(sizes[0]).toBeLessThan(sizes[1]);
+    expect(sizes[1]).toBeLessThan(sizes[2]);
+  });
+
+  it('assembleExcel stacks multi-series areas and anchors them at zero', () => {
+    const spec = assembleExcel({
+      data: { values: [
+        { Date: '2026-01-01', Value: 2, Series: 'A' },
+        { Date: '2026-01-01', Value: 3, Series: 'B' },
+      ] },
+      semantic_types: { Date: 'Date', Value: 'Quantity', Series: 'Category' },
+      chart_spec: { chartType: 'Area Chart', encodings: { x: 'Date', y: 'Value', color: 'Series' } },
+    }) as any;
+
+    expect(spec.chartType).toBe('AreaStacked');
+    expect(spec.valueAxis.minimumScale).toBe(0);
+  });
+
+  it('assembleExcel resamples quantitative-x areas onto a sparse-labeled numeric grid', () => {
+    const spec = assembleExcel({
+      data: { values: [
+        { X: 0, Value: 0 },
+        { X: 1, Value: 1 },
+        { X: 10, Value: 10 },
+      ] },
+      semantic_types: { X: 'Quantity', Value: 'Quantity' },
+      chart_spec: { chartType: 'Area Chart', encodings: { x: 'X', y: 'Value' } },
+    }) as any;
+
+    expect(spec.chartType).toBe('Area');
+    expect(spec.data).toHaveLength(50);
+    expect(spec.data[1]).toEqual(['0', 0]);
+    expect(spec.data[2][0]).toBe('');
+    expect(spec.data[25]).toEqual(['5', 5]);
+    expect(spec.data[49]).toEqual(['10', 10]);
+  });
+
+  it('assembleExcel preserves semantic series and null gaps in sparse grouped bars', () => {
+    const spec = assembleExcel({
+      data: { values: [
+        { Region: 'North', Sales: 10, Channel: 'Retail' },
+        { Region: 'North', Sales: 20, Channel: 'Online' },
+        { Region: 'South', Sales: 30, Channel: 'Online' },
+        { Region: 'South', Sales: 40, Channel: 'Direct' },
+      ] },
+      semantic_types: { Region: 'Category', Sales: 'Quantity', Channel: 'Category' },
+      chart_spec: { chartType: 'Grouped Bar Chart', encodings: { x: 'Region', y: 'Sales', group: 'Channel' } },
+    }) as any;
+
+    expect(spec.data).toEqual([
+      ['Region', 'Retail', 'Online', 'Direct'],
+      ['North', 10, 20, null],
+      ['South', null, 30, 40],
+    ]);
+    expect(spec.legend).toEqual({ visible: true, position: 'Bottom' });
+    expect(spec.gapWidth).toBe(180);
+    expect(spec.overlap).toBe(0);
+  });
+
+  it('assembleExcel keeps horizontal grouped bars compact', () => {
+    const spec = assembleExcel({
+      data: { values: [
+        { Region: 'North', Sales: 10, Channel: 'Retail' },
+        { Region: 'North', Sales: 20, Channel: 'Online' },
+        { Region: 'South', Sales: 30, Channel: 'Direct' },
+      ] },
+      semantic_types: { Region: 'Category', Sales: 'Quantity', Channel: 'Category' },
+      chart_spec: { chartType: 'Grouped Bar Chart', encodings: { x: 'Sales', y: 'Region', group: 'Channel' } },
+    }) as any;
+
+    expect(spec.chartType).toBe('BarClustered');
+    expect(spec.gapWidth).toBe(120);
+    expect(spec.overlap).toBe(0);
+  });
+
+  it('assembleExcel emits a symmetric two-group native pyramid', () => {
+    const spec = assembleExcel({
+      data: { values: [
+        { Age: '0-17', Gender: 'Male', Population: 30 },
+        { Age: '0-17', Gender: 'Female', Population: 28 },
+        { Age: '18-34', Gender: 'Male', Population: 20 },
+        { Age: '18-34', Gender: 'Female', Population: 22 },
+        { Age: '18-34', Gender: 'Female', Population: 3 },
+        { Age: '35-49', Gender: 'Female', Population: 12 },
+      ] },
+      semantic_types: { Age: 'Category', Gender: 'Category', Population: 'Quantity' },
+      chart_spec: { chartType: 'Pyramid Chart', encodings: { y: 'Age', x: 'Population', color: 'Gender' } },
+    }) as any;
+
+    expect(spec.chartType).toBe('BarStacked');
+    expect(spec.data).toEqual([
+      ['Age', 'Male', 'Female'],
+      ['0-17', -30, 28],
+      ['18-34', -20, 25],
+      ['35-49', null, 12],
+    ]);
+    expect(spec.valueAxis).toEqual({
+      title: 'Population',
+      numberFormat: '#,##0;#,##0;0',
+      minimumScale: -30,
+      maximumScale: 30,
+      majorUnit: 10,
+    });
+    expect(spec.seriesFormats).toEqual([{ color: '#4472C4' }, { color: '#C55A5A' }]);
+    expect(spec.overlap).toBe(100);
+  });
+
+  it('assembleExcel rejects pyramids without exactly two groups', () => {
+    expect(() => assembleExcel({
+      data: { values: [
+        { Age: '0-17', Gender: 'Female', Population: 28 },
+        { Age: '18-34', Gender: 'Female', Population: 22 },
+      ] },
+      semantic_types: { Age: 'Category', Gender: 'Category', Population: 'Quantity' },
+      chart_spec: { chartType: 'Pyramid Chart', encodings: { y: 'Age', x: 'Population', color: 'Gender' } },
+    })).toThrow('requires exactly two groups');
+  });
+
+  it('assembleExcel emits a sorted native funnel and aggregates duplicate stages', () => {
+    const spec = assembleExcel({
+      data: { values: [
+        { Stage: 'Trial', Count: 20 },
+        { Stage: 'Visit', Count: 70 },
+        { Stage: 'Trial', Count: 10 },
+        { Stage: 'Signup', Count: 50 },
+      ] },
+      semantic_types: { Stage: 'Category', Count: 'Quantity' },
+      chart_spec: { chartType: 'Funnel Chart', encodings: { y: 'Stage', size: 'Count' } },
+    }) as any;
+
+    expect(spec.chartType).toBe('Funnel');
+    expect(spec.data).toEqual([
+      ['Stage', 'Count'],
+      ['Visit', 70],
+      ['Signup', 50],
+      ['Trial', 30],
+    ]);
+    expect(spec.legend).toEqual({ visible: false });
+    expect(spec.dataLabels).toEqual({
+      visible: true,
+      numberFormat: undefined,
+      fontColor: '#FFFFFF',
+      fontSize: 11,
+    });
+    expect(spec.seriesFormats).toEqual([{ color: '#4472C4' }]);
+  });
+
+  it('assembleExcel rejects negative native funnel values', () => {
+    expect(() => assembleExcel({
+      data: { values: [
+        { Stage: 'Visit', Count: 70 },
+        { Stage: 'Refund', Count: -5 },
+      ] },
+      semantic_types: { Stage: 'Category', Count: 'Quantity' },
+      chart_spec: { chartType: 'Funnel Chart', encodings: { y: 'Stage', size: 'Count' } },
+    })).toThrow('requires non-negative values');
+  });
+
+  it('assembleExcel emits a two-level native treemap and aggregates duplicate leaves', () => {
+    const spec = assembleExcel({
+      data: { values: [
+        { Region: 'Americas', Country: 'USA', Revenue: 20 },
+        { Region: 'Europe', Country: 'France', Revenue: 30 },
+        { Region: 'Americas', Country: 'USA', Revenue: 10 },
+        { Region: 'Americas', Country: 'Canada', Revenue: 15 },
+      ] },
+      semantic_types: { Region: 'Category', Country: 'Country', Revenue: 'Amount' },
+      chart_spec: { chartType: 'Treemap', encodings: { color: 'Region', detail: 'Country', size: 'Revenue' } },
+    }) as any;
+
+    expect(spec.chartType).toBe('Treemap');
+    expect(spec.data).toEqual([
+      ['Region', 'Country', 'Revenue'],
+      ['Americas', 'USA', 30],
+      ['Europe', 'France', 30],
+      ['Americas', 'Canada', 15],
+    ]);
+    expect(spec.legend).toEqual({ visible: false });
+  });
+
+  it('assembleExcel rejects negative native treemap values', () => {
+    expect(() => assembleExcel({
+      data: { values: [{ Sector: 'Energy', Value: -10 }] },
+      semantic_types: { Sector: 'Category', Value: 'Quantity' },
+      chart_spec: { chartType: 'Treemap', encodings: { color: 'Sector', size: 'Value' } },
+    })).toThrow('requires non-negative values');
+  });
+
+  it('assembleExcel emits a two-level native sunburst and aggregates duplicate leaves', () => {
+    const spec = assembleExcel({
+      data: { values: [
+        { Department: 'Engineering', Team: 'Frontend', Headcount: 20 },
+        { Department: 'Product', Team: 'Design', Headcount: 15 },
+        { Department: 'Engineering', Team: 'Frontend', Headcount: 10 },
+        { Department: 'Engineering', Team: 'Backend', Headcount: 25 },
+      ] },
+      semantic_types: { Department: 'Category', Team: 'Category', Headcount: 'Quantity' },
+      chart_spec: { chartType: 'Sunburst Chart', encodings: { color: 'Department', group: 'Team', size: 'Headcount' } },
+    }) as any;
+
+    expect(spec.chartType).toBe('Sunburst');
+    expect(spec.data).toEqual([
+      ['Department', 'Team', 'Headcount'],
+      ['Engineering', 'Frontend', 30],
+      ['Product', 'Design', 15],
+      ['Engineering', 'Backend', 25],
+    ]);
+    expect(spec.legend).toEqual({ visible: false });
+  });
+
+  it('assembleExcel rejects a sunburst detail field without a group level', () => {
+    expect(() => assembleExcel({
+      data: { values: [{ Department: 'Engineering', Team: 'Frontend', Headcount: 20 }] },
+      semantic_types: { Department: 'Category', Team: 'Category', Headcount: 'Quantity' },
+      chart_spec: { chartType: 'Sunburst Chart', encodings: { color: 'Department', detail: 'Team', size: 'Headcount' } },
+    })).toThrow('requires a group field before detail');
+  });
+
+  it('assembleExcel emits connected scatter points in explicit path order', () => {
+    const spec = assembleExcel({
+      data: { values: [
+        { Step: 3, X: 0, Y: 1 },
+        { Step: 1, X: 2, Y: 0 },
+        { Step: 4, X: 1, Y: 0 },
+        { Step: 2, X: 1, Y: 2 },
+      ] },
+      semantic_types: { Step: 'Quantity', X: 'Quantity', Y: 'Quantity' },
+      chart_spec: { chartType: 'Connected Scatter Plot', encodings: { x: 'X', y: 'Y', order: 'Step' } },
+    }) as any;
+
+    expect(spec.chartType).toBe('XYScatterLines');
+    expect(spec.data).toEqual([
+      ['X', 'Y'],
+      [2, 0],
+      [1, 2],
+      [0, 1],
+      [1, 0],
+    ]);
+  });
+
+  it('assembleExcel requires connected scatter order', () => {
+    expect(() => assembleExcel({
+      data: { values: [{ X: 1, Y: 2 }] },
+      semantic_types: { X: 'Quantity', Y: 'Quantity' },
+      chart_spec: { chartType: 'Connected Scatter Plot', encodings: { x: 'X', y: 'Y' } },
+    })).toThrow('requires an explicit order field');
+  });
+
+  it('assembleExcel keeps scatter axes close to the data extent', () => {
+    const spec = assembleExcel({
+      data: { values: [
+        { X: 0, Y: 0 },
+        { X: 100, Y: 100 },
+      ] },
+      semantic_types: { X: 'Quantity', Y: 'Quantity' },
+      chart_spec: { chartType: 'Scatter Plot', encodings: { x: 'X', y: 'Y' } },
+    }) as any;
+
+    expect(spec.categoryAxis).toMatchObject({ minimumScale: 0, maximumScale: 105, majorUnit: 20 });
+    expect(spec.valueAxis).toMatchObject({ minimumScale: 0, maximumScale: 105, majorUnit: 20 });
+  });
+
+  it('assembleExcel uses a sequential scale for ordered grouped-bar series', () => {
+    const spec = assembleExcel({
+      data: { values: [
+        { Category: 'A', Value: 10, Rank: 1 },
+        { Category: 'A', Value: 20, Rank: 2 },
+        { Category: 'B', Value: 30, Rank: 1 },
+        { Category: 'B', Value: 40, Rank: 2 },
+      ] },
+      semantic_types: { Category: 'Category', Value: 'Quantity', Rank: 'Rank' },
+      chart_spec: { chartType: 'Grouped Bar Chart', encodings: { x: 'Category', y: 'Value', group: 'Rank' } },
+    }) as any;
+
+    expect(spec.seriesFormats.map((format: any) => format.color)).toEqual(['#d9e2f3', '#2f5597']);
+  });
+
+  it('assembleExcel rejects occupancy matrices instead of drawing worksheet heatmaps', () => {
+    expect(() => assembleExcel({
+      data: { values: [
+        { Category: 'A', Group: 'North', Segment: 'Sales' },
+        { Category: 'B', Group: 'South', Segment: 'Engineering' },
+      ] },
+      semantic_types: { Category: 'Category', Group: 'Category', Segment: 'Category' },
+      chart_spec: { chartType: 'Grouped Bar Chart', encodings: { x: 'Category', y: 'Group', group: 'Segment' } },
+    })).toThrow('requires one quantitative measure axis');
+  });
+
+  it('assembleExcel caps dense categorical bars in the default display order', () => {
+    const values = Array.from({ length: 96 }, (_value, index) => ({
+      Group: `Category ${index + 1}`,
+      Value: (index * 37) % 101,
+    }));
+    const input = {
+      data: { values },
+      semantic_types: { Group: 'Category', Value: 'Quantity' },
+      chart_spec: {
+        chartType: 'Bar Chart',
+        encodings: { x: 'Value', y: 'Group' },
+        baseSize: { width: 560, height: 360 },
+      },
+    } as const;
+
+    const excel = assembleExcel(input) as any;
+    const vegaLite = assembleVegaLite(input) as any;
+    const expectedOrder = vegaLite.encoding.y.scale.domain.filter((value: string) =>
+      !value.includes('items omitted'),
+    );
+
+    expect(excel.data.slice(1).map((row: any[]) => row[0])).toEqual(expectedOrder);
+    expect(expectedOrder).toEqual(values.slice(0, expectedOrder.length).map((row) => row.Group));
+    expect(excel.data.length).toBeLessThan(values.length + 1);
+    expect(excel.categoryAxis.labelFontSize).toBe(5);
+  });
+
+  it('assembleExcel caps dense bars using the selected value sort', () => {
+    const values = Array.from({ length: 96 }, (_value, index) => ({
+      Group: `Category ${index + 1}`,
+      Value: index,
+    }));
+    const input = {
+      data: { values },
+      semantic_types: { Group: 'Category', Value: 'Quantity' },
+      chart_spec: {
+        chartType: 'Bar Chart',
+        encodings: {
+          x: 'Value',
+          y: { field: 'Group', sortBy: 'x', sortOrder: 'descending' as const },
+        },
+        baseSize: { width: 560, height: 360 },
+      },
+    };
+
+    const excel = assembleExcel(input as any) as any;
+    const kept = excel.data.slice(1).map((row: any[]) => row[0]);
+
+    expect(kept).toEqual(values.slice(-kept.length).reverse().map((row) => row.Group));
+  });
+
+  it('assembleExcel interpolates sparse connected series', () => {
+    const spec = assembleExcel({
+      data: { values: [
+        { Date: '2026-01-01', Value: 10, Series: 'A' },
+        { Date: '2026-01-02', Value: 20, Series: 'B' },
+        { Date: '2026-01-03', Value: 30, Series: 'A' },
+      ] },
+      semantic_types: { Date: 'Date', Value: 'Quantity', Series: 'Category' },
+      chart_spec: { chartType: 'Area Chart', encodings: { x: 'Date', y: 'Value', color: 'Series' } },
+    }) as any;
+
+    expect(spec.data).toEqual([
+      ['Date', 'A', 'B'],
+      ['2026-01-01', 10, null],
+      ['2026-01-02', 20, 20],
+      ['2026-01-03', 30, null],
+    ]);
+  });
+
+  it('assembleExcel rejects continuous-color lines as unsupported native charts', () => {
+    expect(() => assembleExcel({
+      data: { values: [
+        { Date: '2026-01-01', Value: 10, Color: 0.2 },
+        { Date: '2026-01-02', Value: 12, Color: 0.8 },
+      ] },
+      semantic_types: { Date: 'Date', Value: 'Quantity', Color: 'Quantity' },
+      chart_spec: { chartType: 'Line Chart', encodings: { x: 'Date', y: 'Value', color: 'Color' } },
+    })).toThrow('does not support continuous color');
+  });
+
+  it('assembleExcel preserves forecast handoffs as styled dash series', () => {
+    const spec = assembleExcel({
+      data: { values: [
+        { Date: '2026-01-01', Value: 10, Type: 'actual' },
+        { Date: '2026-01-02', Value: 12, Type: 'actual' },
+        { Date: '2026-01-02', Value: 12, Type: 'forecast' },
+        { Date: '2026-01-03', Value: 15, Type: 'forecast' },
+      ] },
+      semantic_types: { Date: 'Date', Value: 'Quantity', Type: 'Category' },
+      chart_spec: { chartType: 'Line Chart', encodings: { x: 'Date', y: 'Value', strokeDash: 'Type' } },
+    }) as any;
+
+    expect(spec.data).toEqual([
+      ['Date', 'actual', 'forecast'],
+      ['2026-01-01', 10, null],
+      ['2026-01-02', 12, 12],
+      ['2026-01-03', null, 15],
+    ]);
+    expect(spec.seriesFormats).toEqual([
+      { color: '#4472C4', lineStyle: 'Continuous' },
+      { color: '#4472C4', lineStyle: 'Dash' },
+    ]);
+  });
+
   it('line chart with quantitative color uses a line layer plus colored points', () => {
     const spec = assembleVegaLite({
       data: {
diff --git a/packages/flint-js/tsup.config.ts b/packages/flint-js/tsup.config.ts
index 860a3862..67d5f294 100644
--- a/packages/flint-js/tsup.config.ts
+++ b/packages/flint-js/tsup.config.ts
@@ -7,6 +7,7 @@ export default defineConfig({
     'vegalite/index': 'src/vegalite/index.ts',
     'echarts/index': 'src/echarts/index.ts',
     'chartjs/index': 'src/chartjs/index.ts',
+    'excel/index': 'src/excel/index.ts',
     'test-data/index': 'src/test-data/index.ts',
     'gallery/index': 'src/gallery/index.ts',
   },
diff --git a/packages/flint-py/flint/core/filter_overflow.py b/packages/flint-py/flint/core/filter_overflow.py
index 142a0f4a..5cb7e3b4 100644
--- a/packages/flint-py/flint/core/filter_overflow.py
+++ b/packages/flint-py/flint/core/filter_overflow.py
@@ -90,13 +90,13 @@ def is_discrete_type(t: Optional[str]) -> bool:
 
             warnings.append({
                 "severity": "warning", "code": "overflow",
-                "message": f"{omitted_count} of {len(unique_values)} values in '{field_name}' were omitted (showing top {len(values_to_keep)}).",
+                "message": f"{omitted_count} of {len(unique_values)} values in '{field_name}' were omitted (showing first {len(values_to_keep)} in sort order).",
                 "channel": channel, "field": field_name,
             })
 
             truncations.append({
                 "severity": "warning", "code": "overflow",
-                "message": f"{omitted_count} of {len(unique_values)} values in '{field_name}' were omitted (showing top {len(values_to_keep)}).",
+                "message": f"{omitted_count} of {len(unique_values)} values in '{field_name}' were omitted (showing first {len(values_to_keep)} in sort order).",
                 "channel": channel, "field": field_name,
                 "keptValues": values_to_keep, "omittedCount": omitted_count,
                 "placeholder": placeholder,
@@ -133,15 +133,13 @@ def _default_overflow_strategy(
     encodings = context["encodings"]
     all_mark_types = context["allMarkTypes"]
 
-    has_connected_mark = ("line" in all_mark_types) or ("area" in all_mark_types) or ("trail" in all_mark_types)
-
     encoding = encodings.get(channel) or {}
     sort_by = encoding.get("sortBy")
     sort_order = encoding.get("sortOrder")
 
     sort_field: Optional[str] = None
     sort_field_type: Optional[str] = None
-    is_descending = True
+    is_descending = False
 
     if sort_by:
         if sort_by in ("x", "y", "color"):
@@ -158,40 +156,7 @@ def _default_overflow_strategy(
             except Exception:
                 pass
             is_descending = sort_order == "descending"
-    else:
-        opposite_channel = "y" if channel == "x" else ("x" if channel == "y" else None)
-        color_cs = channel_semantics.get("color")
-        opposite_cs = channel_semantics.get(opposite_channel) if opposite_channel else None
-
-        mark_type = "rect" if "rect" in all_mark_types else None
-        if mark_type != "rect" and color_cs and color_cs.get("type") == "quantitative":
-            sort_field = color_cs.get("field")
-            sort_field_type = color_cs.get("type")
-        elif opposite_cs and opposite_cs.get("type") == "quantitative":
-            sort_field = opposite_cs.get("field")
-            sort_field_type = opposite_cs.get("type")
-        else:
-            is_descending = False
-
-    field_original_type = infer_vis_category([r.get(field_name) for r in data])
-    if field_original_type == "quantitative" or channel == "color":
-        # JS sort: a - b; if values are strings of numbers, JS still treats them
-        # as numbers via -; preserve that
-        def numeric_key(v: Any) -> float:
-            try:
-                return float(v)
-            except (TypeError, ValueError):
-                return float("nan")
-        return sorted(unique_values, key=numeric_key)[:max_to_keep]
-
-    if channel in ("column", "row"):
-        return unique_values[:max_to_keep]
-
-    if has_connected_mark:
-        return unique_values[:max_to_keep]
-
     if sort_field and sort_field_type == "quantitative":
-        # Bar charts: sum aggregate. Others: max.
         is_bar = ("bar" in all_mark_types) and (
             sort_field != (channel_semantics.get("color", {}) or {}).get("field")
         )
@@ -203,7 +168,6 @@ def numeric_key(v: Any) -> float:
             initial_value = float("-inf")
 
         value_aggregates: dict[Any, float] = {}
-        seen_first: dict[Any, bool] = {}
         for row in data:
             field_value = row.get(field_name)
             sort_value = row.get(sort_field) or 0
@@ -216,7 +180,31 @@ def numeric_key(v: Any) -> float:
         entries.sort(key=lambda e: -e[1] if is_descending else e[1])
         return [e[0] for e in entries[:max_to_keep]]
 
+    canonical_order = (channel_semantics.get(channel) or {}).get("ordinalSortOrder")
+    if not sort_by and not sort_order and canonical_order:
+        ordered = [value for value in canonical_order if value in unique_values]
+        ordered_set = set(ordered)
+        ordered.extend(value for value in unique_values if value not in ordered_set)
+        return ordered[:max_to_keep]
+
+    field_original_type = infer_vis_category([r.get(field_name) for r in data])
+    if field_original_type == "quantitative" or channel == "color":
+        # JS sort: a - b; if values are strings of numbers, JS still treats them
+        # as numbers via -; preserve that
+        def numeric_key(v: Any) -> float:
+            try:
+                return float(v)
+            except (TypeError, ValueError):
+                return float("nan")
+        return sorted(unique_values, key=numeric_key)[:max_to_keep]
+
+    if channel in ("column", "row"):
+        return unique_values[:max_to_keep]
+
     if sort_order == "descending":
-        return list(reversed(unique_values))[:max_to_keep]
+        return sorted(unique_values, key=_js_sort_key, reverse=True)[:max_to_keep]
+
+    if sort_order == "ascending":
+        return sorted(unique_values, key=_js_sort_key)[:max_to_keep]
 
     return unique_values[:max_to_keep]
diff --git a/packages/flint-py/tests/unit/test_filter_overflow.py b/packages/flint-py/tests/unit/test_filter_overflow.py
new file mode 100644
index 00000000..1469d5f4
--- /dev/null
+++ b/packages/flint-py/tests/unit/test_filter_overflow.py
@@ -0,0 +1,74 @@
+from __future__ import annotations
+
+from flint.core.filter_overflow import filter_overflow
+
+
+BUDGETS = {"maxValues": {"x": 3}}
+MARKS = {"bar"}
+
+
+def kept_categories(data, category_semantics, category_encoding):
+    result = filter_overflow(
+        {
+            "x": {
+                "field": "Category",
+                "semanticAnnotation": {"semanticType": "Category"},
+                **category_semantics,
+            },
+            "y": {
+                "field": "Value",
+                "type": "quantitative",
+                "semanticAnnotation": {"semanticType": "Quantity"},
+            },
+        },
+        {"axisFlags": {"x": {"banded": True}}},
+        {
+            "x": {"field": "Category", **category_encoding},
+            "y": {"field": "Value"},
+        },
+        data,
+        BUDGETS,
+        MARKS,
+    )
+    return result["truncations"][0]["keptValues"]
+
+
+def test_preserves_encounter_order_when_no_sort_is_selected():
+    data = [
+        {"Category": "Delta", "Value": 100},
+        {"Category": "Alpha", "Value": 1},
+        {"Category": "Charlie", "Value": 80},
+        {"Category": "Bravo", "Value": 50},
+    ]
+
+    assert kept_categories(data, {"type": "nominal"}, {}) == ["Delta", "Alpha", "Charlie"]
+
+
+def test_uses_canonical_semantic_order_when_available():
+    data = [
+        {"Category": "Mar", "Value": 100},
+        {"Category": "Jan", "Value": 1},
+        {"Category": "Apr", "Value": 80},
+        {"Category": "Feb", "Value": 50},
+    ]
+
+    assert kept_categories(
+        data,
+        {"type": "ordinal", "ordinalSortOrder": ["Jan", "Feb", "Mar", "Apr"]},
+        {},
+    ) == ["Jan", "Feb", "Mar"]
+
+
+def test_uses_selected_value_sort():
+    data = [
+        {"Category": "Delta", "Value": 100},
+        {"Category": "Alpha", "Value": 1},
+        {"Category": "Charlie", "Value": 80},
+        {"Category": "Bravo", "Value": 50},
+    ]
+
+    assert kept_categories(
+        data,
+        {"type": "nominal"},
+        {"sortBy": "y", "sortOrder": "descending"},
+    ) == ["Delta", "Charlie", "Bravo"]
diff --git a/site/src/components/GalleryOptionsBar.tsx b/site/src/components/GalleryOptionsBar.tsx
index 5d90a356..640a55e1 100644
--- a/site/src/components/GalleryOptionsBar.tsx
+++ b/site/src/components/GalleryOptionsBar.tsx
@@ -132,6 +132,7 @@ function ControlRow(props: {
       
          void;
   suffix?: string;
 }) {
+  const percent = max > min ? ((value - min) / (max - min)) * 100 : 0;
+
   return (
     
   );
diff --git a/site/src/components/gallery-options-bar.css b/site/src/components/gallery-options-bar.css
index ae8a7d7b..3844f8ad 100644
--- a/site/src/components/gallery-options-bar.css
+++ b/site/src/components/gallery-options-bar.css
@@ -161,56 +161,8 @@
   white-space: nowrap;
 }
 
-.gopt-bar input[type='range'] {
-  -webkit-appearance: none;
-  appearance: none;
+.gopt-bar .site-range {
   width: 60px;
-  min-width: 0;
-  height: 12px;
-  margin: 0;
-  background: transparent;
-  cursor: pointer;
-}
-
-.gopt-bar input[type='range']::-webkit-slider-runnable-track {
-  height: 3px;
-  border-radius: 999px;
-  background: linear-gradient(
-    to right,
-    #0078d4 0 var(--pct, 50%),
-    rgba(0, 0, 0, 0.16) var(--pct, 50%) 100%
-  );
-}
-
-.gopt-bar input[type='range']::-webkit-slider-thumb {
-  -webkit-appearance: none;
-  appearance: none;
-  width: 10px;
-  height: 10px;
-  margin-top: -3.5px;
-  border: none;
-  border-radius: 50%;
-  background: #0078d4;
-}
-
-.gopt-bar input[type='range']::-moz-range-track {
-  height: 3px;
-  border-radius: 999px;
-  background: rgba(0, 0, 0, 0.16);
-}
-
-.gopt-bar input[type='range']::-moz-range-progress {
-  height: 3px;
-  border-radius: 999px;
-  background: #0078d4;
-}
-
-.gopt-bar input[type='range']::-moz-range-thumb {
-  width: 10px;
-  height: 10px;
-  border: none;
-  border-radius: 50%;
-  background: #0078d4;
 }
 
 /* Discrete property dropdown, matching the chart-type selector menu. */
diff --git a/site/src/global.css b/site/src/global.css
index 304128af..c2bec6c0 100644
--- a/site/src/global.css
+++ b/site/src/global.css
@@ -22,6 +22,76 @@
   text-decoration-color: currentColor !important;
 }
 
+/* Shared site slider. The explicit class prevents embedded MCP App styles from
+   changing site controls when documentation examples load their stylesheet. */
+input[type='range'].site-range {
+  -webkit-appearance: none;
+  appearance: none;
+  width: 100%;
+  min-width: 0;
+  height: 12px;
+  margin: 0;
+  background: transparent;
+  cursor: pointer;
+}
+
+input[type='range'].site-range::-webkit-slider-runnable-track {
+  height: 3px;
+  border-radius: 999px;
+  background: linear-gradient(
+    to right,
+    #0078d4 0 var(--pct, 50%),
+    rgba(0, 0, 0, 0.16) var(--pct, 50%) 100%
+  );
+}
+
+input[type='range'].site-range::-webkit-slider-thumb {
+  -webkit-appearance: none;
+  appearance: none;
+  width: 10px;
+  height: 10px;
+  margin-top: -3.5px;
+  border: 0;
+  border-radius: 50%;
+  background: #0078d4;
+}
+
+input[type='range'].site-range::-moz-range-track {
+  height: 3px;
+  border-radius: 999px;
+  background: rgba(0, 0, 0, 0.16);
+}
+
+input[type='range'].site-range::-moz-range-progress {
+  height: 3px;
+  border-radius: 999px;
+  background: #0078d4;
+}
+
+input[type='range'].site-range::-moz-range-thumb {
+  width: 10px;
+  height: 10px;
+  border: 0;
+  border-radius: 50%;
+  background: #0078d4;
+}
+
+input[type='range'].site-range:focus-visible {
+  outline: 2px solid #0078d4;
+  outline-offset: 3px;
+}
+
+@media (forced-colors: active) {
+  input[type='range'].site-range::-webkit-slider-runnable-track {
+    background: CanvasText;
+  }
+
+  input[type='range'].site-range::-webkit-slider-thumb,
+  input[type='range'].site-range::-moz-range-thumb {
+    background: Highlight;
+  }
+}
+
 @media (max-width: 640px) {
   .site-nav-bar {
     gap: 14px !important;
diff --git a/test-harness/excel/.gitignore b/test-harness/excel/.gitignore
new file mode 100644
index 00000000..94ab8fe2
--- /dev/null
+++ b/test-harness/excel/.gitignore
@@ -0,0 +1,6 @@
+evaluations/out/
+node_modules/
+*.log
+
+# Excel lock/temp files
+~$*
diff --git a/test-harness/excel/README.md b/test-harness/excel/README.md
new file mode 100644
index 00000000..f1f026e5
--- /dev/null
+++ b/test-harness/excel/README.md
@@ -0,0 +1,99 @@
+# Flint Excel test harness
+
+This test harness provides an Office.js transport plugin for rendering and evaluating artifacts from the Excel backend in `packages/flint-js/src/excel`. It does not interpret chart artifacts.
+
+The ownership boundary is:
+
+- `flint-chart/excel`: compiles semantic Flint input, validates the versioned Excel artifact, executes it through Office.js, and generates standalone Office.js source.
+- `office-runner/`: builds and serves the backend bundle, transports jobs, and hosts the Office add-in worker.
+- `evaluations/`: generates semantic inputs, renders comparisons, and records visual evaluation results.
+
+```text
+test-harness/excel/
+├── office-runner/       HTTPS queue server and Office add-in
+├── evaluations/         evaluation scripts, inputs, ledger, and ignored output
+├── package.json         harness commands
+└── README.md
+```
+
+## Artifact flow
+
+```js
+import {
+  assembleExcel,
+  renderExcelChart,
+} from 'flint-chart/excel';
+
+const artifact = assembleExcel(input);
+const result = await renderExcelChart(Excel, artifact, { scale: 3 });
+```
+
+Serialized artifacts have `schema: "flint.excel.chart/v1"`, `kind: "chart"`, a native Office.js chart type, a matrix data range, and declarative formatting. Image scale, worksheet cleanup, and native inspection are host options and are not artifact fields. Legacy neutral aliases such as `"column"` and unversioned hand-authored specs are rejected.
+
+## Start the worker
+
+One-time setup:
+
+```bash
+npx office-addin-dev-certs install
+cp office-runner/officejs/manifest.xml ~/Library/Containers/com.microsoft.Excel/Data/Documents/wef/
+```
+
+Start the HTTPS transport from this directory:
+
+```bash
+npm run server
+```
+
+The server builds `packages/flint-js`, serves its Excel backend to the taskpane, and listens at `https://localhost:3000`. In Excel, open Home > Add-ins > My Add-ins > Flint Render once.
+
+Active evaluations compile semantic Flint inputs with `assembleExcel` and submit this envelope:
+
+```json
+{
+  "artifact": {
+    "schema": "flint.excel.chart/v1",
+    "kind": "chart",
+    "chartType": "ColumnClustered",
+    "seriesBy": "Columns",
+    "data": [["Quarter", "Sales"], ["Q1", 120], ["Q2", 205]]
+  },
+  "renderOptions": {
+    "scale": 3,
+    "cleanWorksheet": true,
+    "inspectNativeChart": false
+  }
+}
+```
+
+Run backend-owned headless validation with:
+
+```bash
+npm run test:mock
+```
+
+Generate or run visual evaluations with:
+
+```bash
+npm run evaluate:inputs
+npm run evaluate:gallery -- all
+npm run evaluate:sheets
+npm run evaluate:candlestick
+npm run evaluate:layout
+```
+
+Generated images and summaries are written under `evaluations/out/` and are ignored by Git.
+
+## Native Excel examples
+
+The [curated example gallery](evaluations/examples/README.md) contains tracked snapshots of native Excel charts captured from the real Office.js worker. Bulk evaluation output stays ignored; after reviewing regenerated output, refresh the selected snapshots with:
+
+```bash
+npm run evaluate:examples
+```
+
+## Worker safety
+
+Run only one worker server on port 3000. Render clients cancel abandoned jobs, the server expires queued jobs after two minutes, and the taskpane renders at most one job per polling interval.
+
+Native `Pareto` remains quarantined. Excel for Mac exits while creating it before Office.js can return a catchable error. The server, artifact validator, and taskpane guard reject Pareto before `Excel.run`.
diff --git a/test-harness/excel/evaluations/candlestick-audit.mjs b/test-harness/excel/evaluations/candlestick-audit.mjs
new file mode 100644
index 00000000..54e39684
--- /dev/null
+++ b/test-harness/excel/evaluations/candlestick-audit.mjs
@@ -0,0 +1,139 @@
+#!/usr/bin/env node
+// @ts-nocheck
+
+import { existsSync, mkdirSync, readFileSync, writeFileSync } from 'node:fs';
+import { dirname, join } from 'node:path';
+import { fileURLToPath } from 'node:url';
+import { createCanvas, loadImage } from '@napi-rs/canvas';
+import { renderChart } from 'flint-chart-mcp/render';
+import { assembleExcel } from 'flint-chart/excel';
+import { TEST_GENERATORS } from 'flint-chart/test-data';
+import { renderExcelArtifact } from './render-client.mjs';
+
+const here = dirname(fileURLToPath(import.meta.url));
+const root = join(here, '..', '..', '..');
+const outDir = join(here, 'out', 'candlestick-audit');
+const cases = [0, 1];
+
+function loadEnvFile() {
+  const envPath = join(root, '.env');
+  if (!existsSync(envPath)) return false;
+  for (const line of readFileSync(envPath, 'utf8').split(/\r?\n/)) {
+    const match = line.match(/^\s*([A-Za-z_][A-Za-z0-9_]*)\s*=\s*(.*)\s*$/);
+    if (!match || process.env[match[1]] !== undefined) continue;
+    process.env[match[1]] = match[2].replace(/^(['"])(.*)\1$/, '$2');
+  }
+  return true;
+}
+
+function toAssemblyInput(test) {
+  const idToName = new Map(test.fields.map((field) => [field.id, field.name]));
+  const encodings = {};
+  for (const [channel, encoding] of Object.entries(test.encodingMap || {})) {
+    if (encoding?.fieldID) encodings[channel] = idToName.get(encoding.fieldID) ?? encoding.fieldID;
+  }
+  return {
+    data: { values: test.data },
+    semantic_types: Object.fromEntries(Object.entries(test.metadata).map(([field, metadata]) => [field, metadata.semanticType])),
+    chart_spec: {
+      chartType: test.chartType,
+      encodings,
+      baseSize: { width: 640, height: 380 },
+    },
+  };
+}
+
+async function sideBySide(referenceBuffer, excelBuffer, outputPath) {
+  const [reference, excel] = await Promise.all([loadImage(referenceBuffer), loadImage(excelBuffer)]);
+  const labelHeight = 42;
+  const gap = 20;
+  const canvas = createCanvas(reference.width + excel.width + gap, Math.max(reference.height, excel.height) + labelHeight);
+  const context = canvas.getContext('2d');
+  context.fillStyle = '#ffffff';
+  context.fillRect(0, 0, canvas.width, canvas.height);
+  context.fillStyle = '#222222';
+  context.font = 'bold 20px sans-serif';
+  context.fillText('Canonical Vega-Lite', 12, 28);
+  context.fillText('Native Excel StockOHLC', reference.width + gap + 12, 28);
+  context.drawImage(reference, 0, labelHeight);
+  context.drawImage(excel, reference.width + gap, labelHeight);
+  writeFileSync(outputPath, canvas.toBuffer('image/png'));
+}
+
+async function reviewWithVlm(imagePaths) {
+  const envLoaded = loadEnvFile();
+  const azureEndpoint = process.env.AZURE_OPENAI_ENDPOINT;
+  const deployment = process.env.AZURE_OPENAI_DEPLOYMENT;
+  const apiKey = process.env.AZURE_OPENAI_API_KEY;
+  const directEndpoint = process.env.VLM_ENDPOINT;
+  const model = process.env.VLM_MODEL;
+  const directKey = process.env.VLM_API_KEY;
+  if (!envLoaded || (!directEndpoint && !(azureEndpoint && deployment)) || (!apiKey && !directKey)) {
+    return { status: 'SKIP', reason: 'No configured VLM endpoint and credential were found in workspace .env.' };
+  }
+
+  const endpoint = directEndpoint ?? `${azureEndpoint.replace(/\/$/, '')}/openai/deployments/${deployment}/chat/completions?api-version=${process.env.AZURE_OPENAI_API_VERSION ?? '2024-10-21'}`;
+  const content = [{
+    type: 'text',
+    text: 'Review these side-by-side candlestick charts. Check for blank or clipped marks, incorrect OHLC encoding, broken date or price axes, unreadable labels, misleading geometry, overlap, and whether native Excel preserves the canonical financial reading. Return concise JSON with status PASS or FAIL, findings, and per-image notes.',
+  }];
+  for (const imagePath of imagePaths) {
+    content.push({ type: 'image_url', image_url: { url: `data:image/png;base64,${readFileSync(imagePath).toString('base64')}` } });
+  }
+  const response = await fetch(endpoint, {
+    method: 'POST',
+    headers: {
+      'Content-Type': 'application/json',
+      ...(apiKey ? { 'api-key': apiKey } : { Authorization: `Bearer ${directKey}` }),
+    },
+    body: JSON.stringify({ model, messages: [{ role: 'user', content }], max_tokens: 1200 }),
+  });
+  if (!response.ok) return { status: 'FAIL', reason: `VLM request failed with HTTP ${response.status}.` };
+  const payload = await response.json();
+  return { status: 'COMPLETE', review: payload.choices?.[0]?.message?.content ?? '' };
+}
+
+mkdirSync(outDir, { recursive: true });
+const fixtures = TEST_GENERATORS['Candlestick Chart']();
+const results = [];
+const comparisons = [];
+
+for (const fixtureIndex of cases) {
+  const fixture = fixtures[fixtureIndex];
+  const name = fixtureIndex === 0 ? 'basic-30-day' : 'advanced-90-day-dense';
+  const referencePath = join(outDir, `${name}.vl.png`);
+  const excelPath = join(outDir, `${name}.excel.png`);
+  const comparisonPath = join(outDir, `${name}.comparison.png`);
+  const result = { name, title: fixture.title, status: 'FAIL' };
+  try {
+    const input = toAssemblyInput(fixture);
+    const reference = await renderChart(input, 'vegalite', { format: 'png', scale: 3 });
+    writeFileSync(referencePath, reference.buffer);
+    const spec = assembleExcel(input);
+    spec.width = Math.max(640, Math.min(1600, Math.round(reference.width || 640)));
+    spec.height = Math.max(380, Math.min(900, Math.round(reference.height || 380)));
+    const excel = await renderExcelArtifact(spec);
+    writeFileSync(excelPath, excel);
+    await sideBySide(reference.buffer, excel, comparisonPath);
+    Object.assign(result, {
+      status: 'RENDERED',
+      chartType: spec.chartType,
+      range: `A1:E${spec.data.length}`,
+      reference: referencePath,
+      excel: excelPath,
+      comparison: comparisonPath,
+    });
+    comparisons.push(comparisonPath);
+  } catch (error) {
+    result.error = String(error.message || error);
+  }
+  results.push(result);
+}
+
+const vlm = comparisons.length === cases.length
+  ? await reviewWithVlm(comparisons)
+  : { status: 'SKIP', reason: 'VLM review skipped because not all real-Excel cases rendered.' };
+const summary = { generatedAt: new Date().toISOString(), cases: results, vlm };
+writeFileSync(join(outDir, 'summary.json'), `${JSON.stringify(summary, null, 2)}\n`);
+console.log(JSON.stringify(summary, null, 2));
+process.exit(results.some((result) => result.status === 'FAIL') || vlm.status === 'FAIL' ? 1 : 0);
\ No newline at end of file
diff --git a/test-harness/excel/evaluations/examples/README.md b/test-harness/excel/evaluations/examples/README.md
new file mode 100644
index 00000000..3d9708a8
--- /dev/null
+++ b/test-harness/excel/evaluations/examples/README.md
@@ -0,0 +1,45 @@
+# Native Excel chart examples
+
+These are committed snapshots from the real Excel for Mac Office.js worker. Every image is a native Excel chart captured with `Chart.getImage()` from a versioned `flint.excel.chart/v1` artifact. The bulk evaluation output remains ignored under `evaluations/out/`.
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
Funnel
Excel.ChartType.funnel · semantic input
Native Excel funnel chart		Population pyramid
Excel.ChartType.barStacked · semantic input
Native Excel population pyramid
Grouped bar
Excel.ChartType.columnClustered · semantic input
Native Excel grouped bar chart		Multi-series line
Excel.ChartType.xYScatterLines · semantic input
Native Excel multi-series line chart
Stacked area
Excel.ChartType.areaStacked · semantic input
Native Excel stacked area chart		Radar
Excel.ChartType.radarMarkers · semantic input
Native Excel radar chart
Treemap
Excel.ChartType.treemap · semantic input
Native Excel treemap		Sunburst
Excel.ChartType.sunburst · semantic input
Native Excel sunburst chart
Candlestick
Excel.ChartType.stockOHLC · semantic input
Native Excel candlestick chart

+
+## Refresh snapshots
+
+With the Office runner and Excel task pane open, regenerate the selected cases and then copy the verified outputs into this tracked directory:
+
+```bash
+npm run evaluate:gallery -- funnel-chart 1
+npm run evaluate:gallery -- pyramid-chart 1
+npm run evaluate:gallery -- grouped-bar-chart 15
+npm run evaluate:gallery -- line-chart 15
+npm run evaluate:gallery -- area-chart 2
+npm run evaluate:gallery -- radar-chart 6
+npm run evaluate:gallery -- treemap 2
+npm run evaluate:gallery -- sunburst-chart 3
+npm run evaluate:candlestick
+npm run evaluate:examples
+```
+
+Review the images before committing refreshed snapshots. Native Excel rendering can vary slightly across Excel versions and platforms.
diff --git a/test-harness/excel/evaluations/examples/candlestick.png b/test-harness/excel/evaluations/examples/candlestick.png
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z)E~ Math.max(lo, Math.min(hi, Math.round(v)));
+const referenceBackendFor = (typeSlug) => ['funnel-chart', 'treemap', 'sunburst-chart'].includes(typeSlug) ? 'echarts' : 'vegalite';
+
+async function runType(typeSlug, limit) {
+  const dir = join(GALLERY, typeSlug);
+  let files;
+  try { files = readdirSync(dir).filter((f) => f.endsWith('.flint.json')).sort(); }
+  catch { console.error(`no such gallery type: ${typeSlug}`); return []; }
+  if (limit) files = files.slice(0, limit);
+  const outDir = join(OUT, typeSlug);
+  mkdirSync(outDir, { recursive: true });
+
+  const results = [];
+  for (const file of files) {
+    const name = basename(file).replace(/\.flint\.json$/, '');
+    const vlPath = join(outDir, `${name}.vl.png`);
+    const excelPath = join(outDir, `${name}.excel.png`);
+    rmSync(vlPath, { force: true });
+    rmSync(excelPath, { force: true });
+    const input = JSON.parse(readFileSync(join(dir, file), 'utf8'));
+    const rec = { type: typeSlug, name, ok: false, skipped: false };
+    try {
+      // Flint reference rendering also provides the layout size used by Excel.
+      const referenceBackend = referenceBackendFor(typeSlug);
+      const vl = await renderChart(input, referenceBackend, { format: 'png', scale: SCALE });
+      writeFileSync(vlPath, vl.buffer);
+      rec.vlSize = `${vl.width}x${vl.height}`;
+      rec.referenceBackend = referenceBackend;
+
+      // Excel-equivalent via the LIBRARY backend, sized from Flint's layout
+      let spec;
+      try {
+        spec = assembleExcel(input);
+      } catch (error) {
+        const message = String(error.message || error);
+        if (!message.startsWith('Excel backend ')) throw error;
+        rec.skipped = true;
+        rec.skipReason = message;
+        console.log(`  - ${typeSlug}/${name}: SKIP ${message}`);
+        results.push(rec);
+        continue;
+      }
+      if (vl.width) spec.width = clamp(vl.width, 320, 1600);
+      if (vl.height) spec.height = clamp(vl.height, 220, 900);
+      rec.excelType = spec.chartType;
+
+      const excelPng = await renderExcelArtifact(spec, { scale: SCALE });
+      writeFileSync(excelPath, excelPng);
+      rec.ok = true;
+      console.log(`  ✓ ${typeSlug}/${name} (${rec.excelType}, VL ${rec.vlSize})`);
+    } catch (e) {
+      rec.error = String(e.message || e);
+      console.error(`  ✗ ${typeSlug}/${name}: ${rec.error}`);
+    }
+    results.push(rec);
+  }
+  return results;
+}
+
+const arg = process.argv[2] || 'all';
+const limit = process.argv[3] ? Number(process.argv[3]) : undefined;
+const types = arg === 'all'
+  ? readdirSync(GALLERY).filter((d) => { try { return readdirSync(join(GALLERY, d)).length; } catch { return false; } })
+  : [arg];
+
+const all = [];
+for (const t of types) all.push(...(await runType(t, limit)));
+mkdirSync(OUT, { recursive: true });
+const summaryPath = join(OUT, 'summary.json');
+let summary = all;
+if (arg !== 'all' && existsSync(summaryPath)) {
+  const previous = JSON.parse(readFileSync(summaryPath, 'utf8'));
+  const replacedCases = new Set(all.map((entry) => `${entry.type}/${entry.name}`));
+  summary = [...previous.filter((entry) => !replacedCases.has(`${entry.type}/${entry.name}`)), ...all]
+    .sort((a, b) => a.type.localeCompare(b.type) || a.name.localeCompare(b.name));
+}
+writeFileSync(summaryPath, JSON.stringify(summary, null, 2) + '\n');
+const rendered = all.filter((r) => r.ok).length;
+const skipped = all.filter((r) => r.skipped).length;
+console.log(`\n${rendered}/${all.length} pairs rendered, ${skipped} skipped → out/gallery/ (summary: ${summary.length} cases)`);
diff --git a/test-harness/excel/evaluations/gen-gallery-inputs.mjs b/test-harness/excel/evaluations/gen-gallery-inputs.mjs
new file mode 100644
index 00000000..6a5497d2
--- /dev/null
+++ b/test-harness/excel/evaluations/gen-gallery-inputs.mjs
@@ -0,0 +1,96 @@
+#!/usr/bin/env node
+// @ts-nocheck  (consumes loosely-typed gallery TestCase objects)
+/**
+ * gen-gallery-inputs.mjs — export real Flint gallery examples as Flint inputs.
+ *
+ * Pulls curated TestCases from `flint-chart/test-data` (the fixtures the website
+ * gallery renders) and converts each to a flat ChartAssemblyInput, grouped into
+ * per-chart-type subfolders under inputs/. Primary-axis cardinality is
+ * encoded in the filename so we can target low/high cardinality.
+ *
+ * Usage:
+ *   node gen-gallery-inputs.mjs
+ *   node gen-gallery-inputs.mjs radar-chart
+ */
+
+import { writeFileSync, mkdirSync, rmSync } from 'node:fs';
+import { join, dirname } from 'node:path';
+import { fileURLToPath } from 'node:url';
+import { TEST_GENERATORS } from 'flint-chart/test-data';
+
+const here = dirname(fileURLToPath(import.meta.url));
+const OUT = join(here, 'inputs');
+
+const MAJOR_TYPES = [
+  'Bar Chart', 'Grouped Bar Chart', 'Stacked Bar Chart', 'Line Chart',
+  'Pyramid Chart', 'Area Chart', 'Scatter Plot', 'Pie Chart', 'Donut Chart', 'Histogram', 'Heatmap',
+  'Boxplot', 'Radar Chart', 'Waterfall Chart', 'Funnel Chart', 'Treemap', 'Sunburst Chart',
+  'Connected Scatter Plot', 'Candlestick Chart',
+];
+
+const GENERATOR_KEYS = {
+  'Funnel Chart': 'ECharts: Funnel',
+  'Treemap': 'ECharts: Treemap',
+  'Sunburst Chart': 'ECharts: Sunburst',
+};
+
+const DEFAULT_CANVAS = { width: 560, height: 360 };
+const OVERRIDE_KEYS = ['type', 'aggregate', 'sortOrder', 'sortBy', 'scheme'];
+const collapse = (e) => (e.field == null ? e : OVERRIDE_KEYS.some((k) => e[k] != null && e[k] !== '') ? e : e.field);
+
+function toAssemblyInput(t, canvas = DEFAULT_CANVAS) {
+  const idToName = new Map(t.fields.map((f) => [f.id, f.name]));
+  const encodings = {};
+  for (const [channel, e] of Object.entries(t.encodingMap || {})) {
+    if (!e?.fieldID) continue;
+    const field = idToName.get(e.fieldID) ?? e.fieldID;
+    encodings[channel] = collapse({
+      field, type: e.dtype, aggregate: e.aggregate, sortOrder: e.sortOrder, sortBy: e.sortBy, scheme: e.scheme,
+    });
+  }
+  const semantic_types = {};
+  for (const [k, m] of Object.entries(t.metadata || {})) semantic_types[k] = m.semanticType;
+  return {
+    semantic_types,
+    chart_spec: { chartType: t.chartType, encodings, baseSize: canvas, ...(t.chartProperties ? { chartProperties: t.chartProperties } : {}) },
+    ...(t.assembleOptions ? { options: t.assembleOptions } : {}),
+    ...(t.semanticAnnotations ? { semantic_annotations: t.semanticAnnotations } : {}),
+    data: { values: t.data },
+  };
+}
+
+const slug = (s) => s.toLowerCase().replace(/[^a-z0-9]+/g, '-').replace(/^-|-$/g, '');
+function primaryCardinality(t) {
+  const enc = t.encodingMap?.x ?? t.encodingMap?.y;
+  const f = enc?.fieldID ? t.fields.find((x) => x.id === enc.fieldID) : null;
+  if (!f) return 0;
+  const seen = new Set();
+  for (const row of t.data || []) seen.add(row[f.name]);
+  return seen.size;
+}
+
+const familyFilter = process.argv[2];
+const selectedTypes = familyFilter
+  ? MAJOR_TYPES.filter((type) => slug(type) === familyFilter)
+  : MAJOR_TYPES;
+if (familyFilter && selectedTypes.length === 0) {
+  throw new Error(`Unknown gallery family "${familyFilter}".`);
+}
+if (familyFilter) rmSync(join(OUT, familyFilter), { recursive: true, force: true });
+else rmSync(OUT, { recursive: true, force: true });
+let total = 0;
+for (const type of selectedTypes) {
+  const gen = TEST_GENERATORS[GENERATOR_KEYS[type] ?? type];
+  if (!gen) { console.warn(`(no generator for ${type})`); continue; }
+  const dir = join(OUT, slug(type));
+  mkdirSync(dir, { recursive: true });
+  let n = 0;
+  gen().forEach((t, i) => {
+    if (t.encodingMap?.column?.fieldID || t.encodingMap?.row?.fieldID) return; // skip facets
+    const card = primaryCardinality(t);
+    writeFileSync(join(dir, `${String(i).padStart(2, '0')}-card${card}.flint.json`), JSON.stringify(toAssemblyInput(t), null, 2) + '\n');
+    total += 1; n += 1;
+  });
+  console.log(`${type}: ${n} inputs`);
+}
+console.log(`\nwrote ${total} gallery inputs under evaluations/inputs/`);
diff --git a/test-harness/excel/evaluations/inputs/area-chart/00-card30.flint.json b/test-harness/excel/evaluations/inputs/area-chart/00-card30.flint.json
new file mode 100644
index 00000000..3826ed0b
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/area-chart/00-card30.flint.json
@@ -0,0 +1,141 @@
+{
+  "semantic_types": {
+    "Date": "Date",
+    "Value": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Area Chart",
+    "encodings": {
+      "x": "Date",
+      "y": "Value"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Date": "2020-01-01",
+        "Value": 51
+      },
+      {
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+        "Value": 67
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+        "Value": 81
+      },
+      {
+        "Date": "2020-07-01",
+        "Value": 100
+      },
+      {
+        "Date": "2020-08-07",
+        "Value": 105
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+        "Value": 156
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+      {
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+        "Value": 163
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+      {
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+        "Value": 169
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+        "Value": 179
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+        "Value": 190
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+      {
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+        "Value": 209
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+        "Value": 235
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+      {
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+        "Value": 333
+      },
+      {
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+        "Value": 341
+      },
+      {
+        "Date": "2022-04-19",
+        "Value": 349
+      },
+      {
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+        "Value": 362
+      },
+      {
+        "Date": "2022-07-01",
+        "Value": 361
+      },
+      {
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+        "Value": 365
+      },
+      {
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+        "Value": 359
+      },
+      {
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+        "Value": 356
+      },
+      {
+        "Date": "2022-11-24",
+        "Value": 360
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/area-chart/01-card24.flint.json b/test-harness/excel/evaluations/inputs/area-chart/01-card24.flint.json
new file mode 100644
index 00000000..59ac6678
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/area-chart/01-card24.flint.json
@@ -0,0 +1,503 @@
+{
+  "semantic_types": {
+    "Date": "Date",
+    "Value": "Quantity",
+    "Series": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Area Chart",
+    "encodings": {
+      "x": "Date",
+      "y": "Value",
+      "color": "Series"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
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+      {
+        "Date": "2020-01-01",
+        "Value": 216,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-02-15",
+        "Value": 225,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-04-01",
+        "Value": 240,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-05-16",
+        "Value": 246,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-07-01",
+        "Value": 264,
+        "Series": "Electronics"
+      },
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+        "Series": "Electronics"
+      },
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+        "Value": 297,
+        "Series": "Electronics"
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+      {
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+        "Value": 299,
+        "Series": "Electronics"
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+        "Value": 307,
+        "Series": "Electronics"
+      },
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+        "Series": "Electronics"
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+        "Series": "Electronics"
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+        "Value": 341,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 356,
+        "Series": "Electronics"
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+        "Series": "Electronics"
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+        "Series": "Books"
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+        "Series": "Books"
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+      {
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+        "Series": "Books"
+      },
+      {
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+        "Value": 358,
+        "Series": "Books"
+      },
+      {
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+        "Value": 374,
+        "Series": "Books"
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+      {
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+        "Value": 373,
+        "Series": "Books"
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+        "Value": 364,
+        "Series": "Books"
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+      {
+        "Date": "2022-11-15",
+        "Value": 373,
+        "Series": "Books"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/area-chart/02-card60.flint.json b/test-harness/excel/evaluations/inputs/area-chart/02-card60.flint.json
new file mode 100644
index 00000000..368a2f35
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/area-chart/02-card60.flint.json
@@ -0,0 +1,2423 @@
+{
+  "semantic_types": {
+    "Date": "Date",
+    "Value": "Quantity",
+    "Series": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Area Chart",
+    "encodings": {
+      "x": "Date",
+      "y": "Value",
+      "color": "Series"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Date": "2020-01-01",
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+        "Series": "Electronics"
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+        "Value": 204,
+        "Series": "Electronics"
+      },
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+        "Series": "Electronics"
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+        "Series": "Electronics"
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+      {
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+        "Series": "Electronics"
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+        "Value": 265,
+        "Series": "Electronics"
+      },
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+        "Value": 263,
+        "Series": "Electronics"
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+        "Value": 249,
+        "Series": "Auto"
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+        "Value": 276,
+        "Series": "Auto"
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+        "Value": 281,
+        "Series": "Auto"
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+        "Value": 304,
+        "Series": "Auto"
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+        "Value": 495,
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+        "Value": 653,
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+        "Value": 654,
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+        "Value": 660,
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+        "Value": 752,
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+        "Value": 762,
+        "Series": "Auto"
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+      {
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+        "Value": 765,
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+        "Value": 783,
+        "Series": "Auto"
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+      {
+        "Date": "2022-11-06",
+        "Value": 813,
+        "Series": "Auto"
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+      {
+        "Date": "2022-11-24",
+        "Value": 823,
+        "Series": "Auto"
+      },
+      {
+        "Date": "2022-12-12",
+        "Value": 822,
+        "Series": "Auto"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/area-chart/03-card120.flint.json b/test-harness/excel/evaluations/inputs/area-chart/03-card120.flint.json
new file mode 100644
index 00000000..e2dd4d45
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/area-chart/03-card120.flint.json
@@ -0,0 +1,9023 @@
+{
+  "semantic_types": {
+    "Date": "Date",
+    "Value": "Quantity",
+    "Series": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Area Chart",
+    "encodings": {
+      "x": "Date",
+      "y": "Value",
+      "color": "Series"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
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+        "Value": 223,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 235,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-01-19",
+        "Value": 256,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-01-28",
+        "Value": 269,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 281,
+        "Series": "Electronics"
+      },
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+        "Series": "Electronics"
+      },
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+        "Value": 288,
+        "Series": "Electronics"
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+        "Series": "Electronics"
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+        "Value": 331,
+        "Series": "Electronics"
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+      {
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+        "Value": 337,
+        "Series": "Electronics"
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+      {
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+        "Series": "Electronics"
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+        "Value": 341,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 348,
+        "Series": "Electronics"
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+        "Series": "Electronics"
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+        "Series": "Electronics"
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+        "Series": "Electronics"
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+        "Series": "Electronics"
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+      },
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+        "Date": "2022-03-04",
+        "Value": 943,
+        "Series": "Games"
+      },
+      {
+        "Date": "2022-03-14",
+        "Value": 951,
+        "Series": "Games"
+      },
+      {
+        "Date": "2022-03-23",
+        "Value": 964,
+        "Series": "Games"
+      },
+      {
+        "Date": "2022-04-01",
+        "Value": 969,
+        "Series": "Games"
+      },
+      {
+        "Date": "2022-04-10",
+        "Value": 977,
+        "Series": "Games"
+      },
+      {
+        "Date": "2022-04-19",
+        "Value": 979,
+        "Series": "Games"
+      },
+      {
+        "Date": "2022-04-28",
+        "Value": 977,
+        "Series": "Games"
+      },
+      {
+        "Date": "2022-05-07",
+        "Value": 984,
+        "Series": "Games"
+      },
+      {
+        "Date": "2022-05-16",
+        "Value": 991,
+        "Series": "Games"
+      },
+      {
+        "Date": "2022-05-26",
+        "Value": 999,
+        "Series": "Games"
+      },
+      {
+        "Date": "2022-06-04",
+        "Value": 1006,
+        "Series": "Games"
+      },
+      {
+        "Date": "2022-06-13",
+        "Value": 1014,
+        "Series": "Games"
+      },
+      {
+        "Date": "2022-06-22",
+        "Value": 1027,
+        "Series": "Games"
+      },
+      {
+        "Date": "2022-07-01",
+        "Value": 1036,
+        "Series": "Games"
+      },
+      {
+        "Date": "2022-07-10",
+        "Value": 1045,
+        "Series": "Games"
+      },
+      {
+        "Date": "2022-07-19",
+        "Value": 1054,
+        "Series": "Games"
+      },
+      {
+        "Date": "2022-07-28",
+        "Value": 1067,
+        "Series": "Games"
+      },
+      {
+        "Date": "2022-08-07",
+        "Value": 1074,
+        "Series": "Games"
+      },
+      {
+        "Date": "2022-08-16",
+        "Value": 1086,
+        "Series": "Games"
+      },
+      {
+        "Date": "2022-08-25",
+        "Value": 1095,
+        "Series": "Games"
+      },
+      {
+        "Date": "2022-09-03",
+        "Value": 1101,
+        "Series": "Games"
+      },
+      {
+        "Date": "2022-09-12",
+        "Value": 1104,
+        "Series": "Games"
+      },
+      {
+        "Date": "2022-09-21",
+        "Value": 1110,
+        "Series": "Games"
+      },
+      {
+        "Date": "2022-09-30",
+        "Value": 1115,
+        "Series": "Games"
+      },
+      {
+        "Date": "2022-10-09",
+        "Value": 1124,
+        "Series": "Games"
+      },
+      {
+        "Date": "2022-10-19",
+        "Value": 1132,
+        "Series": "Games"
+      },
+      {
+        "Date": "2022-10-28",
+        "Value": 1138,
+        "Series": "Games"
+      },
+      {
+        "Date": "2022-11-06",
+        "Value": 1149,
+        "Series": "Games"
+      },
+      {
+        "Date": "2022-11-15",
+        "Value": 1159,
+        "Series": "Games"
+      },
+      {
+        "Date": "2022-11-24",
+        "Value": 1165,
+        "Series": "Games"
+      },
+      {
+        "Date": "2022-12-03",
+        "Value": 1175,
+        "Series": "Games"
+      },
+      {
+        "Date": "2022-12-12",
+        "Value": 1181,
+        "Series": "Games"
+      },
+      {
+        "Date": "2022-12-21",
+        "Value": 1193,
+        "Series": "Games"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/area-chart/04-card40.flint.json b/test-harness/excel/evaluations/inputs/area-chart/04-card40.flint.json
new file mode 100644
index 00000000..7ccea711
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/area-chart/04-card40.flint.json
@@ -0,0 +1,623 @@
+{
+  "semantic_types": {
+    "Date": "Date",
+    "Value": "Quantity",
+    "Series": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Area Chart",
+    "encodings": {
+      "x": "Date",
+      "y": "Value",
+      "color": "Series"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Date": "2020-01-01",
+        "Value": 145,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-01-28",
+        "Value": 138,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-02-24",
+        "Value": 129,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-03-23",
+        "Value": 117,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-04-19",
+        "Value": 113,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-05-16",
+        "Value": 103,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-06-13",
+        "Value": 92,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-07-10",
+        "Value": 98,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-08-07",
+        "Value": 96,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-09-03",
+        "Value": 103,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-09-30",
+        "Value": 100,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-10-28",
+        "Value": 112,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-11-24",
+        "Value": 129,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-12-21",
+        "Value": 147,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-01-18",
+        "Value": 172,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-02-14",
+        "Value": 182,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-03-14",
+        "Value": 199,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-04-10",
+        "Value": 209,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-05-07",
+        "Value": 210,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 203,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-07-01",
+        "Value": 199,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-07-28",
+        "Value": 202,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-08-25",
+        "Value": 200,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-09-21",
+        "Value": 192,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-10-19",
+        "Value": 180,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-11-15",
+        "Value": 178,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-12-12",
+        "Value": 184,
+        "Series": "Electronics"
+      },
+      {
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+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-02-05",
+        "Value": 190,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-03-04",
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+        "Series": "Electronics"
+      },
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+        "Value": 206,
+        "Series": "Electronics"
+      },
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+        "Value": 214,
+        "Series": "Electronics"
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+        "Series": "Electronics"
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+        "Value": 233,
+        "Series": "Electronics"
+      },
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+        "Value": 232,
+        "Series": "Electronics"
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+      {
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+        "Value": 223,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-09-12",
+        "Value": 223,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-10-09",
+        "Value": 215,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-11-06",
+        "Value": 217,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-12-03",
+        "Value": 214,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-01-01",
+        "Value": 209,
+        "Series": "Clothing"
+      },
+      {
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+        "Value": 217,
+        "Series": "Clothing"
+      },
+      {
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+        "Value": 217,
+        "Series": "Clothing"
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+      {
+        "Date": "2020-03-23",
+        "Value": 225,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-04-19",
+        "Value": 235,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-05-16",
+        "Value": 243,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-06-13",
+        "Value": 245,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-07-10",
+        "Value": 251,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-08-07",
+        "Value": 254,
+        "Series": "Clothing"
+      },
+      {
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+        "Value": 264,
+        "Series": "Clothing"
+      },
+      {
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+        "Value": 266,
+        "Series": "Clothing"
+      },
+      {
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+        "Value": 268,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-11-24",
+        "Value": 273,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-12-21",
+        "Value": 278,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-01-18",
+        "Value": 277,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-02-14",
+        "Value": 279,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-03-14",
+        "Value": 277,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-04-10",
+        "Value": 276,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-05-07",
+        "Value": 274,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-06-04",
+        "Value": 281,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-07-01",
+        "Value": 292,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-07-28",
+        "Value": 294,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-08-25",
+        "Value": 302,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-09-21",
+        "Value": 315,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-10-19",
+        "Value": 324,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-11-15",
+        "Value": 334,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-12-12",
+        "Value": 341,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2022-01-09",
+        "Value": 353,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2022-02-05",
+        "Value": 366,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2022-03-04",
+        "Value": 371,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2022-04-01",
+        "Value": 383,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2022-04-28",
+        "Value": 399,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2022-05-26",
+        "Value": 404,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2022-06-22",
+        "Value": 409,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2022-07-19",
+        "Value": 408,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2022-08-16",
+        "Value": 415,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2022-09-12",
+        "Value": 422,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2022-10-09",
+        "Value": 433,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2022-11-06",
+        "Value": 435,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2022-12-03",
+        "Value": 433,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-01-01",
+        "Value": 93,
+        "Series": "Food"
+      },
+      {
+        "Date": "2020-01-28",
+        "Value": 104,
+        "Series": "Food"
+      },
+      {
+        "Date": "2020-02-24",
+        "Value": 124,
+        "Series": "Food"
+      },
+      {
+        "Date": "2020-03-23",
+        "Value": 130,
+        "Series": "Food"
+      },
+      {
+        "Date": "2020-04-19",
+        "Value": 128,
+        "Series": "Food"
+      },
+      {
+        "Date": "2020-05-16",
+        "Value": 138,
+        "Series": "Food"
+      },
+      {
+        "Date": "2020-06-13",
+        "Value": 155,
+        "Series": "Food"
+      },
+      {
+        "Date": "2020-07-10",
+        "Value": 163,
+        "Series": "Food"
+      },
+      {
+        "Date": "2020-08-07",
+        "Value": 175,
+        "Series": "Food"
+      },
+      {
+        "Date": "2020-09-03",
+        "Value": 194,
+        "Series": "Food"
+      },
+      {
+        "Date": "2020-09-30",
+        "Value": 199,
+        "Series": "Food"
+      },
+      {
+        "Date": "2020-10-28",
+        "Value": 194,
+        "Series": "Food"
+      },
+      {
+        "Date": "2020-11-24",
+        "Value": 194,
+        "Series": "Food"
+      },
+      {
+        "Date": "2020-12-21",
+        "Value": 204,
+        "Series": "Food"
+      },
+      {
+        "Date": "2021-01-18",
+        "Value": 217,
+        "Series": "Food"
+      },
+      {
+        "Date": "2021-02-14",
+        "Value": 229,
+        "Series": "Food"
+      },
+      {
+        "Date": "2021-03-14",
+        "Value": 233,
+        "Series": "Food"
+      },
+      {
+        "Date": "2021-04-10",
+        "Value": 238,
+        "Series": "Food"
+      },
+      {
+        "Date": "2021-05-07",
+        "Value": 243,
+        "Series": "Food"
+      },
+      {
+        "Date": "2021-06-04",
+        "Value": 238,
+        "Series": "Food"
+      },
+      {
+        "Date": "2021-07-01",
+        "Value": 232,
+        "Series": "Food"
+      },
+      {
+        "Date": "2021-07-28",
+        "Value": 223,
+        "Series": "Food"
+      },
+      {
+        "Date": "2021-08-25",
+        "Value": 222,
+        "Series": "Food"
+      },
+      {
+        "Date": "2021-09-21",
+        "Value": 216,
+        "Series": "Food"
+      },
+      {
+        "Date": "2021-10-19",
+        "Value": 205,
+        "Series": "Food"
+      },
+      {
+        "Date": "2021-11-15",
+        "Value": 199,
+        "Series": "Food"
+      },
+      {
+        "Date": "2021-12-12",
+        "Value": 190,
+        "Series": "Food"
+      },
+      {
+        "Date": "2022-01-09",
+        "Value": 186,
+        "Series": "Food"
+      },
+      {
+        "Date": "2022-02-05",
+        "Value": 193,
+        "Series": "Food"
+      },
+      {
+        "Date": "2022-03-04",
+        "Value": 189,
+        "Series": "Food"
+      },
+      {
+        "Date": "2022-04-01",
+        "Value": 197,
+        "Series": "Food"
+      },
+      {
+        "Date": "2022-04-28",
+        "Value": 202,
+        "Series": "Food"
+      },
+      {
+        "Date": "2022-05-26",
+        "Value": 206,
+        "Series": "Food"
+      },
+      {
+        "Date": "2022-06-22",
+        "Value": 208,
+        "Series": "Food"
+      },
+      {
+        "Date": "2022-07-19",
+        "Value": 214,
+        "Series": "Food"
+      },
+      {
+        "Date": "2022-08-16",
+        "Value": 210,
+        "Series": "Food"
+      },
+      {
+        "Date": "2022-09-12",
+        "Value": 206,
+        "Series": "Food"
+      },
+      {
+        "Date": "2022-10-09",
+        "Value": 216,
+        "Series": "Food"
+      },
+      {
+        "Date": "2022-11-06",
+        "Value": 233,
+        "Series": "Food"
+      },
+      {
+        "Date": "2022-12-03",
+        "Value": 251,
+        "Series": "Food"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/area-chart/05-card60.flint.json b/test-harness/excel/evaluations/inputs/area-chart/05-card60.flint.json
new file mode 100644
index 00000000..7c38068f
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/area-chart/05-card60.flint.json
@@ -0,0 +1,808 @@
+{
+  "semantic_types": {
+    "Date": "Date",
+    "Value": "Quantity",
+    "Series": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Area Chart",
+    "encodings": {
+      "x": "Date",
+      "y": "Value",
+      "color": "Series"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Date": "2020-01-01",
+        "Value": 248,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-01-19",
+        "Value": 259,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-02-24",
+        "Value": 296,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-03-14",
+        "Value": 303,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-04-19",
+        "Value": 336,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-05-07",
+        "Value": 340,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-05-26",
+        "Value": 342,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-07-19",
+        "Value": 380,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-08-07",
+        "Value": 377,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-08-25",
+        "Value": 370,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-09-12",
+        "Value": 380,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-10-19",
+        "Value": 423,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-11-06",
+        "Value": 447,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-11-24",
+        "Value": 466,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-12-12",
+        "Value": 475,
+        "Series": "Electronics"
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+      {
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+      {
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+        "Value": 589,
+        "Series": "Food"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/area-chart/06-card5.flint.json b/test-harness/excel/evaluations/inputs/area-chart/06-card5.flint.json
new file mode 100644
index 00000000..723bd777
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/area-chart/06-card5.flint.json
@@ -0,0 +1,41 @@
+{
+  "semantic_types": {
+    "Stage": "Category",
+    "Value": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Area Chart",
+    "encodings": {
+      "x": "Stage",
+      "y": "Value"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Stage": "Stage 1",
+        "Value": 217
+      },
+      {
+        "Stage": "Stage 2",
+        "Value": 224
+      },
+      {
+        "Stage": "Stage 3",
+        "Value": 226
+      },
+      {
+        "Stage": "Stage 4",
+        "Value": 235
+      },
+      {
+        "Stage": "Stage 5",
+        "Value": 236
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/area-chart/07-card12.flint.json b/test-harness/excel/evaluations/inputs/area-chart/07-card12.flint.json
new file mode 100644
index 00000000..abf3a2cf
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/area-chart/07-card12.flint.json
@@ -0,0 +1,263 @@
+{
+  "semantic_types": {
+    "Stage": "Category",
+    "Value": "Quantity",
+    "Series": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Area Chart",
+    "encodings": {
+      "x": "Stage",
+      "y": "Value",
+      "color": "Series"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Stage": "Stage 1",
+        "Value": 86,
+        "Series": "Electronics"
+      },
+      {
+        "Stage": "Stage 2",
+        "Value": 85,
+        "Series": "Electronics"
+      },
+      {
+        "Stage": "Stage 3",
+        "Value": 83,
+        "Series": "Electronics"
+      },
+      {
+        "Stage": "Stage 4",
+        "Value": 79,
+        "Series": "Electronics"
+      },
+      {
+        "Stage": "Stage 5",
+        "Value": 78,
+        "Series": "Electronics"
+      },
+      {
+        "Stage": "Stage 6",
+        "Value": 78,
+        "Series": "Electronics"
+      },
+      {
+        "Stage": "Stage 7",
+        "Value": 83,
+        "Series": "Electronics"
+      },
+      {
+        "Stage": "Stage 8",
+        "Value": 86,
+        "Series": "Electronics"
+      },
+      {
+        "Stage": "Stage 9",
+        "Value": 84,
+        "Series": "Electronics"
+      },
+      {
+        "Stage": "Stage 10",
+        "Value": 87,
+        "Series": "Electronics"
+      },
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+        "Stage": "Stage 11",
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+        "Series": "Electronics"
+      },
+      {
+        "Stage": "Stage 12",
+        "Value": 99,
+        "Series": "Electronics"
+      },
+      {
+        "Stage": "Stage 1",
+        "Value": 240,
+        "Series": "Clothing"
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+      {
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+        "Value": 237,
+        "Series": "Clothing"
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+        "Series": "Clothing"
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+        "Series": "Clothing"
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+        "Series": "Clothing"
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+        "Series": "Clothing"
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+        "Series": "Clothing"
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+        "Series": "Clothing"
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+        "Series": "Clothing"
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+        "Series": "Clothing"
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+        "Series": "Clothing"
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+        "Series": "Clothing"
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+        "Value": 154,
+        "Series": "Food"
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diff --git a/test-harness/excel/evaluations/inputs/area-chart/08-card30.flint.json b/test-harness/excel/evaluations/inputs/area-chart/08-card30.flint.json
new file mode 100644
index 00000000..75f09982
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/area-chart/08-card30.flint.json
@@ -0,0 +1,141 @@
+{
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+    "Value": "Quantity"
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+  "chart_spec": {
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+    "encodings": {
+      "x": "Stage",
+      "y": "Value"
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diff --git a/test-harness/excel/evaluations/inputs/area-chart/09-card30.flint.json b/test-harness/excel/evaluations/inputs/area-chart/09-card30.flint.json
new file mode 100644
index 00000000..ebbbd6c9
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/area-chart/09-card30.flint.json
@@ -0,0 +1,141 @@
+{
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+    "encodings": {
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diff --git a/test-harness/excel/evaluations/inputs/area-chart/10-card50.flint.json b/test-harness/excel/evaluations/inputs/area-chart/10-card50.flint.json
new file mode 100644
index 00000000..15b70510
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/area-chart/10-card50.flint.json
@@ -0,0 +1,773 @@
+{
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+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/area-chart/11-card200.flint.json b/test-harness/excel/evaluations/inputs/area-chart/11-card200.flint.json
new file mode 100644
index 00000000..53d408fc
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/area-chart/11-card200.flint.json
@@ -0,0 +1,821 @@
+{
+  "semantic_types": {
+    "X": "Quantity",
+    "Value": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Area Chart",
+    "encodings": {
+      "x": "X",
+      "y": "Value"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
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+        "Value": 235
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+        "Value": 220
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+      },
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+      },
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+      },
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+      },
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+      },
+      {
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+        "Value": 1170
+      },
+      {
+        "X": 100,
+        "Value": 1180
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/bar-chart/00-card5.flint.json b/test-harness/excel/evaluations/inputs/bar-chart/00-card5.flint.json
new file mode 100644
index 00000000..425701d8
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/bar-chart/00-card5.flint.json
@@ -0,0 +1,41 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Value": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Bar Chart",
+    "encodings": {
+      "x": "Category",
+      "y": "Value"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Category": "Laptop",
+        "Value": 11
+      },
+      {
+        "Category": "Phone",
+        "Value": 162
+      },
+      {
+        "Category": "Tablet",
+        "Value": 565
+      },
+      {
+        "Category": "Desktop",
+        "Value": 866
+      },
+      {
+        "Category": "Monitor",
+        "Value": 284
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/bar-chart/01-card20.flint.json b/test-harness/excel/evaluations/inputs/bar-chart/01-card20.flint.json
new file mode 100644
index 00000000..ed57611f
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/bar-chart/01-card20.flint.json
@@ -0,0 +1,101 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Value": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Bar Chart",
+    "encodings": {
+      "x": "Category",
+      "y": "Value"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Category": "Laptop",
+        "Value": 897
+      },
+      {
+        "Category": "Phone",
+        "Value": 707
+      },
+      {
+        "Category": "Tablet",
+        "Value": 888
+      },
+      {
+        "Category": "Desktop",
+        "Value": 930
+      },
+      {
+        "Category": "Monitor",
+        "Value": 475
+      },
+      {
+        "Category": "Keyboard",
+        "Value": 357
+      },
+      {
+        "Category": "Mouse",
+        "Value": 942
+      },
+      {
+        "Category": "Headphones",
+        "Value": 106
+      },
+      {
+        "Category": "Speaker",
+        "Value": 463
+      },
+      {
+        "Category": "Camera",
+        "Value": 353
+      },
+      {
+        "Category": "TV",
+        "Value": 970
+      },
+      {
+        "Category": "Router",
+        "Value": 124
+      },
+      {
+        "Category": "Printer",
+        "Value": 772
+      },
+      {
+        "Category": "Scanner",
+        "Value": 348
+      },
+      {
+        "Category": "SSD",
+        "Value": 687
+      },
+      {
+        "Category": "HDD",
+        "Value": 751
+      },
+      {
+        "Category": "RAM",
+        "Value": 680
+      },
+      {
+        "Category": "GPU",
+        "Value": 899
+      },
+      {
+        "Category": "CPU",
+        "Value": 53
+      },
+      {
+        "Category": "Motherboard",
+        "Value": 621
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/bar-chart/02-card20.flint.json b/test-harness/excel/evaluations/inputs/bar-chart/02-card20.flint.json
new file mode 100644
index 00000000..ee5c4716
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/bar-chart/02-card20.flint.json
@@ -0,0 +1,101 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Value": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Bar Chart",
+    "encodings": {
+      "x": "Category",
+      "y": "Value"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Category": "Laptop",
+        "Value": 696
+      },
+      {
+        "Category": "Phone",
+        "Value": 205
+      },
+      {
+        "Category": "Tablet",
+        "Value": 398
+      },
+      {
+        "Category": "Desktop",
+        "Value": 604
+      },
+      {
+        "Category": "Monitor",
+        "Value": 128
+      },
+      {
+        "Category": "Keyboard",
+        "Value": 42
+      },
+      {
+        "Category": "Mouse",
+        "Value": 228
+      },
+      {
+        "Category": "Headphones",
+        "Value": 253
+      },
+      {
+        "Category": "Speaker",
+        "Value": 749
+      },
+      {
+        "Category": "Camera",
+        "Value": 612
+      },
+      {
+        "Category": "TV",
+        "Value": 825
+      },
+      {
+        "Category": "Router",
+        "Value": 271
+      },
+      {
+        "Category": "Printer",
+        "Value": 645
+      },
+      {
+        "Category": "Scanner",
+        "Value": 113
+      },
+      {
+        "Category": "SSD",
+        "Value": 539
+      },
+      {
+        "Category": "HDD",
+        "Value": 707
+      },
+      {
+        "Category": "RAM",
+        "Value": 262
+      },
+      {
+        "Category": "GPU",
+        "Value": 273
+      },
+      {
+        "Category": "CPU",
+        "Value": 342
+      },
+      {
+        "Category": "Motherboard",
+        "Value": 160
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/bar-chart/03-card100.flint.json b/test-harness/excel/evaluations/inputs/bar-chart/03-card100.flint.json
new file mode 100644
index 00000000..eb40f30e
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/bar-chart/03-card100.flint.json
@@ -0,0 +1,421 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Value": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Bar Chart",
+    "encodings": {
+      "x": "Category",
+      "y": "Value"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Category": "James Walker",
+        "Value": 276
+      },
+      {
+        "Category": "Paul Wilson",
+        "Value": 172
+      },
+      {
+        "Category": "Jessica Martin",
+        "Value": 476
+      },
+      {
+        "Category": "Christopher Moore",
+        "Value": 278
+      },
+      {
+        "Category": "Betty Wilson",
+        "Value": 645
+      },
+      {
+        "Category": "Steven Lewis",
+        "Value": 653
+      },
+      {
+        "Category": "Karen Lopez",
+        "Value": 775
+      },
+      {
+        "Category": "Sandra Wright",
+        "Value": 780
+      },
+      {
+        "Category": "Daniel King",
+        "Value": 496
+      },
+      {
+        "Category": "Mark Taylor",
+        "Value": 927
+      },
+      {
+        "Category": "Sandra Thomas",
+        "Value": 654
+      },
+      {
+        "Category": "Karen Rodriguez",
+        "Value": 655
+      },
+      {
+        "Category": "Patricia Jackson",
+        "Value": 768
+      },
+      {
+        "Category": "Donna Hill",
+        "Value": 922
+      },
+      {
+        "Category": "Donna White",
+        "Value": 66
+      },
+      {
+        "Category": "Michael Brown",
+        "Value": 471
+      },
+      {
+        "Category": "Elizabeth Robinson",
+        "Value": 458
+      },
+      {
+        "Category": "Mary Jones",
+        "Value": 633
+      },
+      {
+        "Category": "Richard Rodriguez",
+        "Value": 904
+      },
+      {
+        "Category": "Christopher Clark",
+        "Value": 668
+      },
+      {
+        "Category": "Christopher Lopez",
+        "Value": 404
+      },
+      {
+        "Category": "Susan Ramirez",
+        "Value": 618
+      },
+      {
+        "Category": "Steven Wilson",
+        "Value": 83
+      },
+      {
+        "Category": "Paul Anderson",
+        "Value": 779
+      },
+      {
+        "Category": "Joseph Rodriguez",
+        "Value": 381
+      },
+      {
+        "Category": "Elizabeth Wright",
+        "Value": 80
+      },
+      {
+        "Category": "Kimberly Jackson",
+        "Value": 420
+      },
+      {
+        "Category": "Betty Hernandez",
+        "Value": 711
+      },
+      {
+        "Category": "David King",
+        "Value": 388
+      },
+      {
+        "Category": "Matthew Lopez",
+        "Value": 975
+      },
+      {
+        "Category": "Susan Hernandez",
+        "Value": 450
+      },
+      {
+        "Category": "Jennifer Lee",
+        "Value": 107
+      },
+      {
+        "Category": "Richard Flores",
+        "Value": 18
+      },
+      {
+        "Category": "John Anderson",
+        "Value": 160
+      },
+      {
+        "Category": "Kimberly Wright",
+        "Value": 30
+      },
+      {
+        "Category": "Joseph Williams",
+        "Value": 784
+      },
+      {
+        "Category": "Lisa Torres",
+        "Value": 541
+      },
+      {
+        "Category": "Andrew Rodriguez",
+        "Value": 591
+      },
+      {
+        "Category": "Karen Johnson",
+        "Value": 847
+      },
+      {
+        "Category": "Steven Jones",
+        "Value": 826
+      },
+      {
+        "Category": "Joshua Ramirez",
+        "Value": 955
+      },
+      {
+        "Category": "Emily Martinez",
+        "Value": 626
+      },
+      {
+        "Category": "Robert Walker",
+        "Value": 546
+      },
+      {
+        "Category": "Robert Lewis",
+        "Value": 946
+      },
+      {
+        "Category": "Sandra Lopez",
+        "Value": 859
+      },
+      {
+        "Category": "Nancy Miller",
+        "Value": 326
+      },
+      {
+        "Category": "Christopher Sanchez",
+        "Value": 636
+      },
+      {
+        "Category": "Daniel Flores",
+        "Value": 111
+      },
+      {
+        "Category": "Mary Walker",
+        "Value": 334
+      },
+      {
+        "Category": "Anthony Ramirez",
+        "Value": 120
+      },
+      {
+        "Category": "Anthony Hill",
+        "Value": 602
+      },
+      {
+        "Category": "Matthew Miller",
+        "Value": 216
+      },
+      {
+        "Category": "Andrew King",
+        "Value": 160
+      },
+      {
+        "Category": "William Perez",
+        "Value": 932
+      },
+      {
+        "Category": "William Martinez",
+        "Value": 544
+      },
+      {
+        "Category": "Margaret Garcia",
+        "Value": 733
+      },
+      {
+        "Category": "Barbara Anderson",
+        "Value": 794
+      },
+      {
+        "Category": "Thomas Smith",
+        "Value": 724
+      },
+      {
+        "Category": "Kimberly Thomas",
+        "Value": 834
+      },
+      {
+        "Category": "Karen Garcia",
+        "Value": 378
+      },
+      {
+        "Category": "Sarah Torres",
+        "Value": 174
+      },
+      {
+        "Category": "Emily Hill",
+        "Value": 248
+      },
+      {
+        "Category": "Sarah Walker",
+        "Value": 312
+      },
+      {
+        "Category": "Michael Clark",
+        "Value": 451
+      },
+      {
+        "Category": "Joshua Wright",
+        "Value": 850
+      },
+      {
+        "Category": "Andrew Walker",
+        "Value": 541
+      },
+      {
+        "Category": "Nancy Young",
+        "Value": 831
+      },
+      {
+        "Category": "John Lewis",
+        "Value": 464
+      },
+      {
+        "Category": "John Brown",
+        "Value": 83
+      },
+      {
+        "Category": "Anthony Thomas",
+        "Value": 490
+      },
+      {
+        "Category": "Joshua Moore",
+        "Value": 212
+      },
+      {
+        "Category": "John Hernandez",
+        "Value": 977
+      },
+      {
+        "Category": "James Perez",
+        "Value": 282
+      },
+      {
+        "Category": "James Scott",
+        "Value": 476
+      },
+      {
+        "Category": "Matthew Sanchez",
+        "Value": 52
+      },
+      {
+        "Category": "Joseph Sanchez",
+        "Value": 108
+      },
+      {
+        "Category": "Paul Perez",
+        "Value": 464
+      },
+      {
+        "Category": "Joshua Rodriguez",
+        "Value": 307
+      },
+      {
+        "Category": "Anthony Sanchez",
+        "Value": 435
+      },
+      {
+        "Category": "Linda King",
+        "Value": 691
+      },
+      {
+        "Category": "Elizabeth Smith",
+        "Value": 982
+      },
+      {
+        "Category": "Sandra Miller",
+        "Value": 792
+      },
+      {
+        "Category": "Nancy Allen",
+        "Value": 991
+      },
+      {
+        "Category": "Patricia Brown",
+        "Value": 99
+      },
+      {
+        "Category": "Lisa Clark",
+        "Value": 756
+      },
+      {
+        "Category": "Lisa Thompson",
+        "Value": 702
+      },
+      {
+        "Category": "Nancy Clark",
+        "Value": 214
+      },
+      {
+        "Category": "Steven Miller",
+        "Value": 43
+      },
+      {
+        "Category": "Charles King",
+        "Value": 143
+      },
+      {
+        "Category": "Paul Harris",
+        "Value": 586
+      },
+      {
+        "Category": "Ashley Jackson",
+        "Value": 775
+      },
+      {
+        "Category": "John Moore",
+        "Value": 974
+      },
+      {
+        "Category": "Betty Flores",
+        "Value": 756
+      },
+      {
+        "Category": "Linda Young",
+        "Value": 721
+      },
+      {
+        "Category": "Joshua Jones",
+        "Value": 562
+      },
+      {
+        "Category": "Margaret Anderson",
+        "Value": 21
+      },
+      {
+        "Category": "Anthony Wilson",
+        "Value": 545
+      },
+      {
+        "Category": "Karen Jones",
+        "Value": 618
+      },
+      {
+        "Category": "Daniel Rodriguez",
+        "Value": 817
+      },
+      {
+        "Category": "Betty Clark",
+        "Value": 337
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/bar-chart/04-card5.flint.json b/test-harness/excel/evaluations/inputs/bar-chart/04-card5.flint.json
new file mode 100644
index 00000000..100b7d51
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/bar-chart/04-card5.flint.json
@@ -0,0 +1,98 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Value": "Quantity",
+    "Segment": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Bar Chart",
+    "encodings": {
+      "x": "Category",
+      "y": "Value",
+      "color": "Segment"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Category": "Laptop",
+        "Value": 878,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Laptop",
+        "Value": 190,
+        "Segment": "China"
+      },
+      {
+        "Category": "Laptop",
+        "Value": 495,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Phone",
+        "Value": 221,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Phone",
+        "Value": 853,
+        "Segment": "China"
+      },
+      {
+        "Category": "Phone",
+        "Value": 409,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Tablet",
+        "Value": 118,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Tablet",
+        "Value": 607,
+        "Segment": "China"
+      },
+      {
+        "Category": "Tablet",
+        "Value": 976,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Desktop",
+        "Value": 926,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Desktop",
+        "Value": 928,
+        "Segment": "China"
+      },
+      {
+        "Category": "Desktop",
+        "Value": 675,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Monitor",
+        "Value": 134,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Monitor",
+        "Value": 172,
+        "Segment": "China"
+      },
+      {
+        "Category": "Monitor",
+        "Value": 314,
+        "Segment": "Japan"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/bar-chart/05-card5.flint.json b/test-harness/excel/evaluations/inputs/bar-chart/05-card5.flint.json
new file mode 100644
index 00000000..ec70014f
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/bar-chart/05-card5.flint.json
@@ -0,0 +1,523 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Value": "Quantity",
+    "Segment": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Bar Chart",
+    "encodings": {
+      "x": "Category",
+      "y": "Value",
+      "color": "Segment"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Category": "Laptop",
+        "Value": 786,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Laptop",
+        "Value": 647,
+        "Segment": "China"
+      },
+      {
+        "Category": "Laptop",
+        "Value": 932,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Laptop",
+        "Value": 332,
+        "Segment": "Germany"
+      },
+      {
+        "Category": "Laptop",
+        "Value": 839,
+        "Segment": "UK"
+      },
+      {
+        "Category": "Laptop",
+        "Value": 176,
+        "Segment": "France"
+      },
+      {
+        "Category": "Laptop",
+        "Value": 653,
+        "Segment": "India"
+      },
+      {
+        "Category": "Laptop",
+        "Value": 210,
+        "Segment": "Brazil"
+      },
+      {
+        "Category": "Laptop",
+        "Value": 751,
+        "Segment": "Canada"
+      },
+      {
+        "Category": "Laptop",
+        "Value": 41,
+        "Segment": "Australia"
+      },
+      {
+        "Category": "Laptop",
+        "Value": 128,
+        "Segment": "South Korea"
+      },
+      {
+        "Category": "Laptop",
+        "Value": 569,
+        "Segment": "Mexico"
+      },
+      {
+        "Category": "Laptop",
+        "Value": 225,
+        "Segment": "Italy"
+      },
+      {
+        "Category": "Laptop",
+        "Value": 228,
+        "Segment": "Spain"
+      },
+      {
+        "Category": "Laptop",
+        "Value": 115,
+        "Segment": "Russia"
+      },
+      {
+        "Category": "Laptop",
+        "Value": 539,
+        "Segment": "Netherlands"
+      },
+      {
+        "Category": "Laptop",
+        "Value": 313,
+        "Segment": "Sweden"
+      },
+      {
+        "Category": "Laptop",
+        "Value": 516,
+        "Segment": "Norway"
+      },
+      {
+        "Category": "Laptop",
+        "Value": 322,
+        "Segment": "Denmark"
+      },
+      {
+        "Category": "Laptop",
+        "Value": 535,
+        "Segment": "Finland"
+      },
+      {
+        "Category": "Phone",
+        "Value": 953,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Phone",
+        "Value": 238,
+        "Segment": "China"
+      },
+      {
+        "Category": "Phone",
+        "Value": 896,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Phone",
+        "Value": 176,
+        "Segment": "Germany"
+      },
+      {
+        "Category": "Phone",
+        "Value": 173,
+        "Segment": "UK"
+      },
+      {
+        "Category": "Phone",
+        "Value": 530,
+        "Segment": "France"
+      },
+      {
+        "Category": "Phone",
+        "Value": 960,
+        "Segment": "India"
+      },
+      {
+        "Category": "Phone",
+        "Value": 893,
+        "Segment": "Brazil"
+      },
+      {
+        "Category": "Phone",
+        "Value": 22,
+        "Segment": "Canada"
+      },
+      {
+        "Category": "Phone",
+        "Value": 95,
+        "Segment": "Australia"
+      },
+      {
+        "Category": "Phone",
+        "Value": 135,
+        "Segment": "South Korea"
+      },
+      {
+        "Category": "Phone",
+        "Value": 600,
+        "Segment": "Mexico"
+      },
+      {
+        "Category": "Phone",
+        "Value": 49,
+        "Segment": "Italy"
+      },
+      {
+        "Category": "Phone",
+        "Value": 759,
+        "Segment": "Spain"
+      },
+      {
+        "Category": "Phone",
+        "Value": 589,
+        "Segment": "Russia"
+      },
+      {
+        "Category": "Phone",
+        "Value": 232,
+        "Segment": "Netherlands"
+      },
+      {
+        "Category": "Phone",
+        "Value": 145,
+        "Segment": "Sweden"
+      },
+      {
+        "Category": "Phone",
+        "Value": 281,
+        "Segment": "Norway"
+      },
+      {
+        "Category": "Phone",
+        "Value": 934,
+        "Segment": "Denmark"
+      },
+      {
+        "Category": "Phone",
+        "Value": 475,
+        "Segment": "Finland"
+      },
+      {
+        "Category": "Tablet",
+        "Value": 899,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Tablet",
+        "Value": 228,
+        "Segment": "China"
+      },
+      {
+        "Category": "Tablet",
+        "Value": 717,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Tablet",
+        "Value": 447,
+        "Segment": "Germany"
+      },
+      {
+        "Category": "Tablet",
+        "Value": 136,
+        "Segment": "UK"
+      },
+      {
+        "Category": "Tablet",
+        "Value": 932,
+        "Segment": "France"
+      },
+      {
+        "Category": "Tablet",
+        "Value": 745,
+        "Segment": "India"
+      },
+      {
+        "Category": "Tablet",
+        "Value": 449,
+        "Segment": "Brazil"
+      },
+      {
+        "Category": "Tablet",
+        "Value": 350,
+        "Segment": "Canada"
+      },
+      {
+        "Category": "Tablet",
+        "Value": 409,
+        "Segment": "Australia"
+      },
+      {
+        "Category": "Tablet",
+        "Value": 675,
+        "Segment": "South Korea"
+      },
+      {
+        "Category": "Tablet",
+        "Value": 660,
+        "Segment": "Mexico"
+      },
+      {
+        "Category": "Tablet",
+        "Value": 14,
+        "Segment": "Italy"
+      },
+      {
+        "Category": "Tablet",
+        "Value": 975,
+        "Segment": "Spain"
+      },
+      {
+        "Category": "Tablet",
+        "Value": 927,
+        "Segment": "Russia"
+      },
+      {
+        "Category": "Tablet",
+        "Value": 569,
+        "Segment": "Netherlands"
+      },
+      {
+        "Category": "Tablet",
+        "Value": 81,
+        "Segment": "Sweden"
+      },
+      {
+        "Category": "Tablet",
+        "Value": 657,
+        "Segment": "Norway"
+      },
+      {
+        "Category": "Tablet",
+        "Value": 180,
+        "Segment": "Denmark"
+      },
+      {
+        "Category": "Tablet",
+        "Value": 910,
+        "Segment": "Finland"
+      },
+      {
+        "Category": "Desktop",
+        "Value": 607,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Desktop",
+        "Value": 504,
+        "Segment": "China"
+      },
+      {
+        "Category": "Desktop",
+        "Value": 339,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Desktop",
+        "Value": 524,
+        "Segment": "Germany"
+      },
+      {
+        "Category": "Desktop",
+        "Value": 349,
+        "Segment": "UK"
+      },
+      {
+        "Category": "Desktop",
+        "Value": 895,
+        "Segment": "France"
+      },
+      {
+        "Category": "Desktop",
+        "Value": 770,
+        "Segment": "India"
+      },
+      {
+        "Category": "Desktop",
+        "Value": 213,
+        "Segment": "Brazil"
+      },
+      {
+        "Category": "Desktop",
+        "Value": 956,
+        "Segment": "Canada"
+      },
+      {
+        "Category": "Desktop",
+        "Value": 667,
+        "Segment": "Australia"
+      },
+      {
+        "Category": "Desktop",
+        "Value": 592,
+        "Segment": "South Korea"
+      },
+      {
+        "Category": "Desktop",
+        "Value": 12,
+        "Segment": "Mexico"
+      },
+      {
+        "Category": "Desktop",
+        "Value": 401,
+        "Segment": "Italy"
+      },
+      {
+        "Category": "Desktop",
+        "Value": 920,
+        "Segment": "Spain"
+      },
+      {
+        "Category": "Desktop",
+        "Value": 44,
+        "Segment": "Russia"
+      },
+      {
+        "Category": "Desktop",
+        "Value": 937,
+        "Segment": "Netherlands"
+      },
+      {
+        "Category": "Desktop",
+        "Value": 558,
+        "Segment": "Sweden"
+      },
+      {
+        "Category": "Desktop",
+        "Value": 606,
+        "Segment": "Norway"
+      },
+      {
+        "Category": "Desktop",
+        "Value": 578,
+        "Segment": "Denmark"
+      },
+      {
+        "Category": "Desktop",
+        "Value": 471,
+        "Segment": "Finland"
+      },
+      {
+        "Category": "Monitor",
+        "Value": 159,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Monitor",
+        "Value": 973,
+        "Segment": "China"
+      },
+      {
+        "Category": "Monitor",
+        "Value": 756,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Monitor",
+        "Value": 668,
+        "Segment": "Germany"
+      },
+      {
+        "Category": "Monitor",
+        "Value": 521,
+        "Segment": "UK"
+      },
+      {
+        "Category": "Monitor",
+        "Value": 160,
+        "Segment": "France"
+      },
+      {
+        "Category": "Monitor",
+        "Value": 913,
+        "Segment": "India"
+      },
+      {
+        "Category": "Monitor",
+        "Value": 367,
+        "Segment": "Brazil"
+      },
+      {
+        "Category": "Monitor",
+        "Value": 58,
+        "Segment": "Canada"
+      },
+      {
+        "Category": "Monitor",
+        "Value": 639,
+        "Segment": "Australia"
+      },
+      {
+        "Category": "Monitor",
+        "Value": 69,
+        "Segment": "South Korea"
+      },
+      {
+        "Category": "Monitor",
+        "Value": 97,
+        "Segment": "Mexico"
+      },
+      {
+        "Category": "Monitor",
+        "Value": 342,
+        "Segment": "Italy"
+      },
+      {
+        "Category": "Monitor",
+        "Value": 736,
+        "Segment": "Spain"
+      },
+      {
+        "Category": "Monitor",
+        "Value": 919,
+        "Segment": "Russia"
+      },
+      {
+        "Category": "Monitor",
+        "Value": 775,
+        "Segment": "Netherlands"
+      },
+      {
+        "Category": "Monitor",
+        "Value": 257,
+        "Segment": "Sweden"
+      },
+      {
+        "Category": "Monitor",
+        "Value": 66,
+        "Segment": "Norway"
+      },
+      {
+        "Category": "Monitor",
+        "Value": 531,
+        "Segment": "Denmark"
+      },
+      {
+        "Category": "Monitor",
+        "Value": 646,
+        "Segment": "Finland"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/bar-chart/06-card10.flint.json b/test-harness/excel/evaluations/inputs/bar-chart/06-card10.flint.json
new file mode 100644
index 00000000..6af11afa
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/bar-chart/06-card10.flint.json
@@ -0,0 +1,61 @@
+{
+  "semantic_types": {
+    "X": "Quantity",
+    "Group": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Bar Chart",
+    "encodings": {
+      "x": "X",
+      "y": "Group"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Group": "Laptop",
+        "X": 893
+      },
+      {
+        "Group": "Phone",
+        "X": 872
+      },
+      {
+        "Group": "Tablet",
+        "X": 460
+      },
+      {
+        "Group": "Desktop",
+        "X": 182
+      },
+      {
+        "Group": "Monitor",
+        "X": 406
+      },
+      {
+        "Group": "Keyboard",
+        "X": 958
+      },
+      {
+        "Group": "Mouse",
+        "X": 391
+      },
+      {
+        "Group": "Headphones",
+        "X": 361
+      },
+      {
+        "Group": "Speaker",
+        "X": 115
+      },
+      {
+        "Group": "Camera",
+        "X": 884
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/bar-chart/07-card96.flint.json b/test-harness/excel/evaluations/inputs/bar-chart/07-card96.flint.json
new file mode 100644
index 00000000..000f554f
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/bar-chart/07-card96.flint.json
@@ -0,0 +1,421 @@
+{
+  "semantic_types": {
+    "X": "Quantity",
+    "Group": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Bar Chart",
+    "encodings": {
+      "x": "X",
+      "y": "Group"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Group": "James Walker",
+        "X": 224
+      },
+      {
+        "Group": "Paul Wilson",
+        "X": 757
+      },
+      {
+        "Group": "Jessica Martin",
+        "X": 986
+      },
+      {
+        "Group": "Christopher Moore",
+        "X": 922
+      },
+      {
+        "Group": "Betty Wilson",
+        "X": 225
+      },
+      {
+        "Group": "Steven Lewis",
+        "X": 409
+      },
+      {
+        "Group": "Karen Lopez",
+        "X": 690
+      },
+      {
+        "Group": "Sandra Wright",
+        "X": 393
+      },
+      {
+        "Group": "Daniel King",
+        "X": 254
+      },
+      {
+        "Group": "Mark Taylor",
+        "X": 223
+      },
+      {
+        "Group": "Sandra Thomas",
+        "X": 403
+      },
+      {
+        "Group": "Karen Rodriguez",
+        "X": 140
+      },
+      {
+        "Group": "Patricia Jackson",
+        "X": 191
+      },
+      {
+        "Group": "Donna Hill",
+        "X": 330
+      },
+      {
+        "Group": "Donna White",
+        "X": 411
+      },
+      {
+        "Group": "Michael Brown",
+        "X": 973
+      },
+      {
+        "Group": "Elizabeth Robinson",
+        "X": 649
+      },
+      {
+        "Group": "Mary Jones",
+        "X": 816
+      },
+      {
+        "Group": "Richard Rodriguez",
+        "X": 110
+      },
+      {
+        "Group": "Christopher Clark",
+        "X": 691
+      },
+      {
+        "Group": "Christopher Lopez",
+        "X": 837
+      },
+      {
+        "Group": "Susan Ramirez",
+        "X": 775
+      },
+      {
+        "Group": "Steven Wilson",
+        "X": 796
+      },
+      {
+        "Group": "Paul Anderson",
+        "X": 720
+      },
+      {
+        "Group": "Joseph Rodriguez",
+        "X": 366
+      },
+      {
+        "Group": "Elizabeth Wright",
+        "X": 172
+      },
+      {
+        "Group": "Kimberly Jackson",
+        "X": 942
+      },
+      {
+        "Group": "Betty Hernandez",
+        "X": 477
+      },
+      {
+        "Group": "David King",
+        "X": 605
+      },
+      {
+        "Group": "Matthew Lopez",
+        "X": 482
+      },
+      {
+        "Group": "Susan Hernandez",
+        "X": 628
+      },
+      {
+        "Group": "Jennifer Lee",
+        "X": 301
+      },
+      {
+        "Group": "Richard Flores",
+        "X": 953
+      },
+      {
+        "Group": "John Anderson",
+        "X": 350
+      },
+      {
+        "Group": "Kimberly Wright",
+        "X": 648
+      },
+      {
+        "Group": "Joseph Williams",
+        "X": 823
+      },
+      {
+        "Group": "Lisa Torres",
+        "X": 704
+      },
+      {
+        "Group": "Andrew Rodriguez",
+        "X": 879
+      },
+      {
+        "Group": "Karen Johnson",
+        "X": 984
+      },
+      {
+        "Group": "Steven Jones",
+        "X": 746
+      },
+      {
+        "Group": "Joshua Ramirez",
+        "X": 265
+      },
+      {
+        "Group": "Emily Martinez",
+        "X": 616
+      },
+      {
+        "Group": "Robert Walker",
+        "X": 397
+      },
+      {
+        "Group": "Robert Lewis",
+        "X": 801
+      },
+      {
+        "Group": "Sandra Lopez",
+        "X": 967
+      },
+      {
+        "Group": "Nancy Miller",
+        "X": 306
+      },
+      {
+        "Group": "Christopher Sanchez",
+        "X": 311
+      },
+      {
+        "Group": "Daniel Flores",
+        "X": 177
+      },
+      {
+        "Group": "Mary Walker",
+        "X": 537
+      },
+      {
+        "Group": "Anthony Ramirez",
+        "X": 32
+      },
+      {
+        "Group": "Anthony Hill",
+        "X": 333
+      },
+      {
+        "Group": "Matthew Miller",
+        "X": 687
+      },
+      {
+        "Group": "Andrew King",
+        "X": 901
+      },
+      {
+        "Group": "William Perez",
+        "X": 605
+      },
+      {
+        "Group": "William Martinez",
+        "X": 538
+      },
+      {
+        "Group": "Margaret Garcia",
+        "X": 856
+      },
+      {
+        "Group": "Barbara Anderson",
+        "X": 83
+      },
+      {
+        "Group": "Thomas Smith",
+        "X": 814
+      },
+      {
+        "Group": "Kimberly Thomas",
+        "X": 810
+      },
+      {
+        "Group": "Karen Garcia",
+        "X": 94
+      },
+      {
+        "Group": "Sarah Torres",
+        "X": 885
+      },
+      {
+        "Group": "Emily Hill",
+        "X": 32
+      },
+      {
+        "Group": "Sarah Walker",
+        "X": 309
+      },
+      {
+        "Group": "Michael Clark",
+        "X": 690
+      },
+      {
+        "Group": "Joshua Wright",
+        "X": 594
+      },
+      {
+        "Group": "Andrew Walker",
+        "X": 785
+      },
+      {
+        "Group": "Nancy Young",
+        "X": 930
+      },
+      {
+        "Group": "John Lewis",
+        "X": 828
+      },
+      {
+        "Group": "John Brown",
+        "X": 974
+      },
+      {
+        "Group": "Anthony Thomas",
+        "X": 398
+      },
+      {
+        "Group": "Joshua Moore",
+        "X": 187
+      },
+      {
+        "Group": "John Hernandez",
+        "X": 627
+      },
+      {
+        "Group": "James Perez",
+        "X": 400
+      },
+      {
+        "Group": "James Scott",
+        "X": 862
+      },
+      {
+        "Group": "Matthew Sanchez",
+        "X": 86
+      },
+      {
+        "Group": "Joseph Sanchez",
+        "X": 481
+      },
+      {
+        "Group": "Paul Perez",
+        "X": 79
+      },
+      {
+        "Group": "Joshua Rodriguez",
+        "X": 26
+      },
+      {
+        "Group": "Anthony Sanchez",
+        "X": 164
+      },
+      {
+        "Group": "Linda King",
+        "X": 53
+      },
+      {
+        "Group": "Elizabeth Smith",
+        "X": 717
+      },
+      {
+        "Group": "Sandra Miller",
+        "X": 144
+      },
+      {
+        "Group": "Nancy Allen",
+        "X": 191
+      },
+      {
+        "Group": "Patricia Brown",
+        "X": 568
+      },
+      {
+        "Group": "Lisa Clark",
+        "X": 654
+      },
+      {
+        "Group": "Lisa Thompson",
+        "X": 49
+      },
+      {
+        "Group": "Nancy Clark",
+        "X": 20
+      },
+      {
+        "Group": "Steven Miller",
+        "X": 388
+      },
+      {
+        "Group": "Charles King",
+        "X": 179
+      },
+      {
+        "Group": "Paul Harris",
+        "X": 288
+      },
+      {
+        "Group": "Ashley Jackson",
+        "X": 925
+      },
+      {
+        "Group": "John Moore",
+        "X": 500
+      },
+      {
+        "Group": "Betty Flores",
+        "X": 427
+      },
+      {
+        "Group": "Linda Young",
+        "X": 305
+      },
+      {
+        "Group": "Joshua Jones",
+        "X": 618
+      },
+      {
+        "Group": "Margaret Anderson",
+        "X": 787
+      },
+      {
+        "Group": "Anthony Wilson",
+        "X": 665
+      },
+      {
+        "Group": "Karen Jones",
+        "X": 19
+      },
+      {
+        "Group": "Daniel Rodriguez",
+        "X": 677
+      },
+      {
+        "Group": "Betty Clark",
+        "X": 404
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/bar-chart/08-card29.flint.json b/test-harness/excel/evaluations/inputs/bar-chart/08-card29.flint.json
new file mode 100644
index 00000000..f3b5b906
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/bar-chart/08-card29.flint.json
@@ -0,0 +1,173 @@
+{
+  "semantic_types": {
+    "X": "Quantity",
+    "Group": "Category",
+    "Segment": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Bar Chart",
+    "encodings": {
+      "x": "X",
+      "y": "Group",
+      "color": "Segment"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Group": "Laptop",
+        "X": 408,
+        "Segment": "USA"
+      },
+      {
+        "Group": "Laptop",
+        "X": 579,
+        "Segment": "China"
+      },
+      {
+        "Group": "Laptop",
+        "X": 713,
+        "Segment": "Japan"
+      },
+      {
+        "Group": "Phone",
+        "X": 216,
+        "Segment": "USA"
+      },
+      {
+        "Group": "Phone",
+        "X": 84,
+        "Segment": "China"
+      },
+      {
+        "Group": "Phone",
+        "X": 698,
+        "Segment": "Japan"
+      },
+      {
+        "Group": "Tablet",
+        "X": 785,
+        "Segment": "USA"
+      },
+      {
+        "Group": "Tablet",
+        "X": 667,
+        "Segment": "China"
+      },
+      {
+        "Group": "Tablet",
+        "X": 250,
+        "Segment": "Japan"
+      },
+      {
+        "Group": "Desktop",
+        "X": 179,
+        "Segment": "USA"
+      },
+      {
+        "Group": "Desktop",
+        "X": 162,
+        "Segment": "China"
+      },
+      {
+        "Group": "Desktop",
+        "X": 572,
+        "Segment": "Japan"
+      },
+      {
+        "Group": "Monitor",
+        "X": 952,
+        "Segment": "USA"
+      },
+      {
+        "Group": "Monitor",
+        "X": 392,
+        "Segment": "China"
+      },
+      {
+        "Group": "Monitor",
+        "X": 127,
+        "Segment": "Japan"
+      },
+      {
+        "Group": "Keyboard",
+        "X": 431,
+        "Segment": "USA"
+      },
+      {
+        "Group": "Keyboard",
+        "X": 573,
+        "Segment": "China"
+      },
+      {
+        "Group": "Keyboard",
+        "X": 992,
+        "Segment": "Japan"
+      },
+      {
+        "Group": "Mouse",
+        "X": 315,
+        "Segment": "USA"
+      },
+      {
+        "Group": "Mouse",
+        "X": 337,
+        "Segment": "China"
+      },
+      {
+        "Group": "Mouse",
+        "X": 306,
+        "Segment": "Japan"
+      },
+      {
+        "Group": "Headphones",
+        "X": 671,
+        "Segment": "USA"
+      },
+      {
+        "Group": "Headphones",
+        "X": 646,
+        "Segment": "China"
+      },
+      {
+        "Group": "Headphones",
+        "X": 638,
+        "Segment": "Japan"
+      },
+      {
+        "Group": "Speaker",
+        "X": 484,
+        "Segment": "USA"
+      },
+      {
+        "Group": "Speaker",
+        "X": 849,
+        "Segment": "China"
+      },
+      {
+        "Group": "Speaker",
+        "X": 688,
+        "Segment": "Japan"
+      },
+      {
+        "Group": "Camera",
+        "X": 408,
+        "Segment": "USA"
+      },
+      {
+        "Group": "Camera",
+        "X": 973,
+        "Segment": "China"
+      },
+      {
+        "Group": "Camera",
+        "X": 587,
+        "Segment": "Japan"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/bar-chart/09-card24.flint.json b/test-harness/excel/evaluations/inputs/bar-chart/09-card24.flint.json
new file mode 100644
index 00000000..f684d3ed
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/bar-chart/09-card24.flint.json
@@ -0,0 +1,117 @@
+{
+  "semantic_types": {
+    "Date": "Date",
+    "Value": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Bar Chart",
+    "encodings": {
+      "x": "Date",
+      "y": "Value"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Date": "2020-01-01",
+        "Value": 581
+      },
+      {
+        "Date": "2020-02-15",
+        "Value": 689
+      },
+      {
+        "Date": "2020-04-01",
+        "Value": 906
+      },
+      {
+        "Date": "2020-05-16",
+        "Value": 933
+      },
+      {
+        "Date": "2020-07-01",
+        "Value": 867
+      },
+      {
+        "Date": "2020-08-16",
+        "Value": 39
+      },
+      {
+        "Date": "2020-09-30",
+        "Value": 597
+      },
+      {
+        "Date": "2020-11-15",
+        "Value": 199
+      },
+      {
+        "Date": "2020-12-31",
+        "Value": 614
+      },
+      {
+        "Date": "2021-02-14",
+        "Value": 27
+      },
+      {
+        "Date": "2021-04-01",
+        "Value": 935
+      },
+      {
+        "Date": "2021-05-16",
+        "Value": 386
+      },
+      {
+        "Date": "2021-07-01",
+        "Value": 105
+      },
+      {
+        "Date": "2021-08-16",
+        "Value": 592
+      },
+      {
+        "Date": "2021-09-30",
+        "Value": 78
+      },
+      {
+        "Date": "2021-11-15",
+        "Value": 533
+      },
+      {
+        "Date": "2021-12-31",
+        "Value": 73
+      },
+      {
+        "Date": "2022-02-14",
+        "Value": 37
+      },
+      {
+        "Date": "2022-04-01",
+        "Value": 383
+      },
+      {
+        "Date": "2022-05-16",
+        "Value": 705
+      },
+      {
+        "Date": "2022-07-01",
+        "Value": 70
+      },
+      {
+        "Date": "2022-08-16",
+        "Value": 783
+      },
+      {
+        "Date": "2022-09-30",
+        "Value": 719
+      },
+      {
+        "Date": "2022-11-15",
+        "Value": 999
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/bar-chart/10-card100.flint.json b/test-harness/excel/evaluations/inputs/bar-chart/10-card100.flint.json
new file mode 100644
index 00000000..cd8430bf
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/bar-chart/10-card100.flint.json
@@ -0,0 +1,421 @@
+{
+  "semantic_types": {
+    "Date": "Date",
+    "Value": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Bar Chart",
+    "encodings": {
+      "x": "Date",
+      "y": "Value"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Date": "2020-01-01",
+        "Value": 652
+      },
+      {
+        "Date": "2020-01-11",
+        "Value": 41
+      },
+      {
+        "Date": "2020-01-22",
+        "Value": 598
+      },
+      {
+        "Date": "2020-02-02",
+        "Value": 375
+      },
+      {
+        "Date": "2020-02-13",
+        "Value": 568
+      },
+      {
+        "Date": "2020-02-24",
+        "Value": 780
+      },
+      {
+        "Date": "2020-03-06",
+        "Value": 125
+      },
+      {
+        "Date": "2020-03-17",
+        "Value": 126
+      },
+      {
+        "Date": "2020-03-28",
+        "Value": 750
+      },
+      {
+        "Date": "2020-04-08",
+        "Value": 691
+      },
+      {
+        "Date": "2020-04-19",
+        "Value": 247
+      },
+      {
+        "Date": "2020-04-30",
+        "Value": 174
+      },
+      {
+        "Date": "2020-05-11",
+        "Value": 623
+      },
+      {
+        "Date": "2020-05-22",
+        "Value": 936
+      },
+      {
+        "Date": "2020-06-02",
+        "Value": 757
+      },
+      {
+        "Date": "2020-06-13",
+        "Value": 966
+      },
+      {
+        "Date": "2020-06-24",
+        "Value": 621
+      },
+      {
+        "Date": "2020-07-05",
+        "Value": 897
+      },
+      {
+        "Date": "2020-07-16",
+        "Value": 934
+      },
+      {
+        "Date": "2020-07-27",
+        "Value": 630
+      },
+      {
+        "Date": "2020-08-07",
+        "Value": 563
+      },
+      {
+        "Date": "2020-08-17",
+        "Value": 258
+      },
+      {
+        "Date": "2020-08-28",
+        "Value": 342
+      },
+      {
+        "Date": "2020-09-08",
+        "Value": 829
+      },
+      {
+        "Date": "2020-09-19",
+        "Value": 141
+      },
+      {
+        "Date": "2020-09-30",
+        "Value": 418
+      },
+      {
+        "Date": "2020-10-11",
+        "Value": 764
+      },
+      {
+        "Date": "2020-10-22",
+        "Value": 597
+      },
+      {
+        "Date": "2020-11-02",
+        "Value": 293
+      },
+      {
+        "Date": "2020-11-13",
+        "Value": 409
+      },
+      {
+        "Date": "2020-11-24",
+        "Value": 696
+      },
+      {
+        "Date": "2020-12-05",
+        "Value": 812
+      },
+      {
+        "Date": "2020-12-16",
+        "Value": 431
+      },
+      {
+        "Date": "2020-12-27",
+        "Value": 902
+      },
+      {
+        "Date": "2021-01-07",
+        "Value": 161
+      },
+      {
+        "Date": "2021-01-18",
+        "Value": 439
+      },
+      {
+        "Date": "2021-01-29",
+        "Value": 312
+      },
+      {
+        "Date": "2021-02-09",
+        "Value": 794
+      },
+      {
+        "Date": "2021-02-20",
+        "Value": 464
+      },
+      {
+        "Date": "2021-03-03",
+        "Value": 71
+      },
+      {
+        "Date": "2021-03-14",
+        "Value": 491
+      },
+      {
+        "Date": "2021-03-24",
+        "Value": 193
+      },
+      {
+        "Date": "2021-04-04",
+        "Value": 368
+      },
+      {
+        "Date": "2021-04-15",
+        "Value": 555
+      },
+      {
+        "Date": "2021-04-26",
+        "Value": 661
+      },
+      {
+        "Date": "2021-05-07",
+        "Value": 957
+      },
+      {
+        "Date": "2021-05-18",
+        "Value": 374
+      },
+      {
+        "Date": "2021-05-29",
+        "Value": 701
+      },
+      {
+        "Date": "2021-06-09",
+        "Value": 612
+      },
+      {
+        "Date": "2021-06-20",
+        "Value": 601
+      },
+      {
+        "Date": "2021-07-01",
+        "Value": 937
+      },
+      {
+        "Date": "2021-07-12",
+        "Value": 199
+      },
+      {
+        "Date": "2021-07-23",
+        "Value": 258
+      },
+      {
+        "Date": "2021-08-03",
+        "Value": 744
+      },
+      {
+        "Date": "2021-08-14",
+        "Value": 536
+      },
+      {
+        "Date": "2021-08-25",
+        "Value": 624
+      },
+      {
+        "Date": "2021-09-05",
+        "Value": 370
+      },
+      {
+        "Date": "2021-09-16",
+        "Value": 341
+      },
+      {
+        "Date": "2021-09-27",
+        "Value": 964
+      },
+      {
+        "Date": "2021-10-08",
+        "Value": 45
+      },
+      {
+        "Date": "2021-10-19",
+        "Value": 430
+      },
+      {
+        "Date": "2021-10-29",
+        "Value": 944
+      },
+      {
+        "Date": "2021-11-09",
+        "Value": 409
+      },
+      {
+        "Date": "2021-11-20",
+        "Value": 25
+      },
+      {
+        "Date": "2021-12-01",
+        "Value": 966
+      },
+      {
+        "Date": "2021-12-12",
+        "Value": 912
+      },
+      {
+        "Date": "2021-12-23",
+        "Value": 996
+      },
+      {
+        "Date": "2022-01-03",
+        "Value": 926
+      },
+      {
+        "Date": "2022-01-14",
+        "Value": 198
+      },
+      {
+        "Date": "2022-01-25",
+        "Value": 175
+      },
+      {
+        "Date": "2022-02-05",
+        "Value": 680
+      },
+      {
+        "Date": "2022-02-16",
+        "Value": 640
+      },
+      {
+        "Date": "2022-02-27",
+        "Value": 67
+      },
+      {
+        "Date": "2022-03-10",
+        "Value": 175
+      },
+      {
+        "Date": "2022-03-21",
+        "Value": 268
+      },
+      {
+        "Date": "2022-04-01",
+        "Value": 270
+      },
+      {
+        "Date": "2022-04-12",
+        "Value": 664
+      },
+      {
+        "Date": "2022-04-23",
+        "Value": 155
+      },
+      {
+        "Date": "2022-05-04",
+        "Value": 485
+      },
+      {
+        "Date": "2022-05-15",
+        "Value": 375
+      },
+      {
+        "Date": "2022-05-26",
+        "Value": 308
+      },
+      {
+        "Date": "2022-06-05",
+        "Value": 597
+      },
+      {
+        "Date": "2022-06-16",
+        "Value": 416
+      },
+      {
+        "Date": "2022-06-27",
+        "Value": 976
+      },
+      {
+        "Date": "2022-07-08",
+        "Value": 766
+      },
+      {
+        "Date": "2022-07-19",
+        "Value": 207
+      },
+      {
+        "Date": "2022-07-30",
+        "Value": 500
+      },
+      {
+        "Date": "2022-08-10",
+        "Value": 917
+      },
+      {
+        "Date": "2022-08-21",
+        "Value": 424
+      },
+      {
+        "Date": "2022-09-01",
+        "Value": 114
+      },
+      {
+        "Date": "2022-09-12",
+        "Value": 408
+      },
+      {
+        "Date": "2022-09-23",
+        "Value": 797
+      },
+      {
+        "Date": "2022-10-04",
+        "Value": 361
+      },
+      {
+        "Date": "2022-10-15",
+        "Value": 195
+      },
+      {
+        "Date": "2022-10-26",
+        "Value": 662
+      },
+      {
+        "Date": "2022-11-06",
+        "Value": 376
+      },
+      {
+        "Date": "2022-11-17",
+        "Value": 172
+      },
+      {
+        "Date": "2022-11-28",
+        "Value": 918
+      },
+      {
+        "Date": "2022-12-09",
+        "Value": 202
+      },
+      {
+        "Date": "2022-12-20",
+        "Value": 540
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/bar-chart/11-card24.flint.json b/test-harness/excel/evaluations/inputs/bar-chart/11-card24.flint.json
new file mode 100644
index 00000000..8176107f
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/bar-chart/11-card24.flint.json
@@ -0,0 +1,383 @@
+{
+  "semantic_types": {
+    "Date": "Date",
+    "Value": "Quantity",
+    "Segment": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Bar Chart",
+    "encodings": {
+      "x": "Date",
+      "y": "Value",
+      "color": "Segment"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Date": "2020-01-01",
+        "Value": 286,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2020-01-01",
+        "Value": 721,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2020-01-01",
+        "Value": 776,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2020-02-15",
+        "Value": 907,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2020-02-15",
+        "Value": 597,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2020-02-15",
+        "Value": 334,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2020-04-01",
+        "Value": 539,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2020-04-01",
+        "Value": 147,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2020-04-01",
+        "Value": 259,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2020-05-16",
+        "Value": 973,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2020-05-16",
+        "Value": 490,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2020-05-16",
+        "Value": 501,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2020-07-01",
+        "Value": 43,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2020-07-01",
+        "Value": 391,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2020-07-01",
+        "Value": 637,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2020-08-16",
+        "Value": 18,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2020-08-16",
+        "Value": 773,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2020-08-16",
+        "Value": 523,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2020-09-30",
+        "Value": 166,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2020-09-30",
+        "Value": 858,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2020-09-30",
+        "Value": 395,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2020-11-15",
+        "Value": 726,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2020-11-15",
+        "Value": 361,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2020-11-15",
+        "Value": 681,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2020-12-31",
+        "Value": 197,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2020-12-31",
+        "Value": 826,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2020-12-31",
+        "Value": 663,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2021-02-14",
+        "Value": 979,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2021-02-14",
+        "Value": 907,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2021-02-14",
+        "Value": 529,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2021-04-01",
+        "Value": 565,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2021-04-01",
+        "Value": 216,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2021-04-01",
+        "Value": 951,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2021-05-16",
+        "Value": 512,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2021-05-16",
+        "Value": 178,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2021-05-16",
+        "Value": 54,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2021-07-01",
+        "Value": 315,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2021-07-01",
+        "Value": 166,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2021-07-01",
+        "Value": 246,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2021-08-16",
+        "Value": 977,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2021-08-16",
+        "Value": 502,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2021-08-16",
+        "Value": 642,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2021-09-30",
+        "Value": 210,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2021-09-30",
+        "Value": 746,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2021-09-30",
+        "Value": 883,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2021-11-15",
+        "Value": 371,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2021-11-15",
+        "Value": 381,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2021-11-15",
+        "Value": 165,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2021-12-31",
+        "Value": 373,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2021-12-31",
+        "Value": 289,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2021-12-31",
+        "Value": 110,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2022-02-14",
+        "Value": 977,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2022-02-14",
+        "Value": 294,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2022-02-14",
+        "Value": 540,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2022-04-01",
+        "Value": 143,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2022-04-01",
+        "Value": 330,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2022-04-01",
+        "Value": 616,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2022-05-16",
+        "Value": 474,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2022-05-16",
+        "Value": 524,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2022-05-16",
+        "Value": 686,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2022-07-01",
+        "Value": 354,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2022-07-01",
+        "Value": 410,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2022-07-01",
+        "Value": 590,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2022-08-16",
+        "Value": 608,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2022-08-16",
+        "Value": 124,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2022-08-16",
+        "Value": 604,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2022-09-30",
+        "Value": 387,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2022-09-30",
+        "Value": 752,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2022-09-30",
+        "Value": 254,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2022-11-15",
+        "Value": 966,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2022-11-15",
+        "Value": 588,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2022-11-15",
+        "Value": 440,
+        "Segment": "Tablet"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/bar-chart/12-card18.flint.json b/test-harness/excel/evaluations/inputs/bar-chart/12-card18.flint.json
new file mode 100644
index 00000000..89fa95ea
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/bar-chart/12-card18.flint.json
@@ -0,0 +1,93 @@
+{
+  "semantic_types": {
+    "X": "Quantity",
+    "EndDate": "Date"
+  },
+  "chart_spec": {
+    "chartType": "Bar Chart",
+    "encodings": {
+      "x": "X",
+      "y": "EndDate"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "EndDate": "2020-01-01",
+        "X": 648
+      },
+      {
+        "EndDate": "2020-03-01",
+        "X": 944
+      },
+      {
+        "EndDate": "2020-05-01",
+        "X": 216
+      },
+      {
+        "EndDate": "2020-07-01",
+        "X": 185
+      },
+      {
+        "EndDate": "2020-08-31",
+        "X": 539
+      },
+      {
+        "EndDate": "2020-10-31",
+        "X": 151
+      },
+      {
+        "EndDate": "2020-12-31",
+        "X": 338
+      },
+      {
+        "EndDate": "2021-03-01",
+        "X": 709
+      },
+      {
+        "EndDate": "2021-05-01",
+        "X": 181
+      },
+      {
+        "EndDate": "2021-07-01",
+        "X": 931
+      },
+      {
+        "EndDate": "2021-08-31",
+        "X": 916
+      },
+      {
+        "EndDate": "2021-10-31",
+        "X": 61
+      },
+      {
+        "EndDate": "2021-12-31",
+        "X": 462
+      },
+      {
+        "EndDate": "2022-03-01",
+        "X": 900
+      },
+      {
+        "EndDate": "2022-05-01",
+        "X": 969
+      },
+      {
+        "EndDate": "2022-07-01",
+        "X": 650
+      },
+      {
+        "EndDate": "2022-08-31",
+        "X": 468
+      },
+      {
+        "EndDate": "2022-10-31",
+        "X": 186
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/bar-chart/13-card53.flint.json b/test-harness/excel/evaluations/inputs/bar-chart/13-card53.flint.json
new file mode 100644
index 00000000..4d230211
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/bar-chart/13-card53.flint.json
@@ -0,0 +1,293 @@
+{
+  "semantic_types": {
+    "X": "Quantity",
+    "EndDate": "Date",
+    "Segment": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Bar Chart",
+    "encodings": {
+      "x": "X",
+      "y": "EndDate",
+      "color": "Segment"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "EndDate": "2020-01-01",
+        "X": 166,
+        "Segment": "Laptop"
+      },
+      {
+        "EndDate": "2020-01-01",
+        "X": 838,
+        "Segment": "Phone"
+      },
+      {
+        "EndDate": "2020-01-01",
+        "X": 74,
+        "Segment": "Tablet"
+      },
+      {
+        "EndDate": "2020-03-01",
+        "X": 268,
+        "Segment": "Laptop"
+      },
+      {
+        "EndDate": "2020-03-01",
+        "X": 614,
+        "Segment": "Phone"
+      },
+      {
+        "EndDate": "2020-03-01",
+        "X": 950,
+        "Segment": "Tablet"
+      },
+      {
+        "EndDate": "2020-05-01",
+        "X": 128,
+        "Segment": "Laptop"
+      },
+      {
+        "EndDate": "2020-05-01",
+        "X": 727,
+        "Segment": "Phone"
+      },
+      {
+        "EndDate": "2020-05-01",
+        "X": 457,
+        "Segment": "Tablet"
+      },
+      {
+        "EndDate": "2020-07-01",
+        "X": 430,
+        "Segment": "Laptop"
+      },
+      {
+        "EndDate": "2020-07-01",
+        "X": 383,
+        "Segment": "Phone"
+      },
+      {
+        "EndDate": "2020-07-01",
+        "X": 172,
+        "Segment": "Tablet"
+      },
+      {
+        "EndDate": "2020-08-31",
+        "X": 324,
+        "Segment": "Laptop"
+      },
+      {
+        "EndDate": "2020-08-31",
+        "X": 167,
+        "Segment": "Phone"
+      },
+      {
+        "EndDate": "2020-08-31",
+        "X": 296,
+        "Segment": "Tablet"
+      },
+      {
+        "EndDate": "2020-10-31",
+        "X": 958,
+        "Segment": "Laptop"
+      },
+      {
+        "EndDate": "2020-10-31",
+        "X": 216,
+        "Segment": "Phone"
+      },
+      {
+        "EndDate": "2020-10-31",
+        "X": 656,
+        "Segment": "Tablet"
+      },
+      {
+        "EndDate": "2020-12-31",
+        "X": 71,
+        "Segment": "Laptop"
+      },
+      {
+        "EndDate": "2020-12-31",
+        "X": 365,
+        "Segment": "Phone"
+      },
+      {
+        "EndDate": "2020-12-31",
+        "X": 735,
+        "Segment": "Tablet"
+      },
+      {
+        "EndDate": "2021-03-01",
+        "X": 694,
+        "Segment": "Laptop"
+      },
+      {
+        "EndDate": "2021-03-01",
+        "X": 63,
+        "Segment": "Phone"
+      },
+      {
+        "EndDate": "2021-03-01",
+        "X": 754,
+        "Segment": "Tablet"
+      },
+      {
+        "EndDate": "2021-05-01",
+        "X": 169,
+        "Segment": "Laptop"
+      },
+      {
+        "EndDate": "2021-05-01",
+        "X": 841,
+        "Segment": "Phone"
+      },
+      {
+        "EndDate": "2021-05-01",
+        "X": 762,
+        "Segment": "Tablet"
+      },
+      {
+        "EndDate": "2021-07-01",
+        "X": 953,
+        "Segment": "Laptop"
+      },
+      {
+        "EndDate": "2021-07-01",
+        "X": 809,
+        "Segment": "Phone"
+      },
+      {
+        "EndDate": "2021-07-01",
+        "X": 200,
+        "Segment": "Tablet"
+      },
+      {
+        "EndDate": "2021-08-31",
+        "X": 86,
+        "Segment": "Laptop"
+      },
+      {
+        "EndDate": "2021-08-31",
+        "X": 545,
+        "Segment": "Phone"
+      },
+      {
+        "EndDate": "2021-08-31",
+        "X": 162,
+        "Segment": "Tablet"
+      },
+      {
+        "EndDate": "2021-10-31",
+        "X": 288,
+        "Segment": "Laptop"
+      },
+      {
+        "EndDate": "2021-10-31",
+        "X": 922,
+        "Segment": "Phone"
+      },
+      {
+        "EndDate": "2021-10-31",
+        "X": 530,
+        "Segment": "Tablet"
+      },
+      {
+        "EndDate": "2021-12-31",
+        "X": 142,
+        "Segment": "Laptop"
+      },
+      {
+        "EndDate": "2021-12-31",
+        "X": 546,
+        "Segment": "Phone"
+      },
+      {
+        "EndDate": "2021-12-31",
+        "X": 116,
+        "Segment": "Tablet"
+      },
+      {
+        "EndDate": "2022-03-01",
+        "X": 368,
+        "Segment": "Laptop"
+      },
+      {
+        "EndDate": "2022-03-01",
+        "X": 12,
+        "Segment": "Phone"
+      },
+      {
+        "EndDate": "2022-03-01",
+        "X": 657,
+        "Segment": "Tablet"
+      },
+      {
+        "EndDate": "2022-05-01",
+        "X": 879,
+        "Segment": "Laptop"
+      },
+      {
+        "EndDate": "2022-05-01",
+        "X": 248,
+        "Segment": "Phone"
+      },
+      {
+        "EndDate": "2022-05-01",
+        "X": 157,
+        "Segment": "Tablet"
+      },
+      {
+        "EndDate": "2022-07-01",
+        "X": 691,
+        "Segment": "Laptop"
+      },
+      {
+        "EndDate": "2022-07-01",
+        "X": 694,
+        "Segment": "Phone"
+      },
+      {
+        "EndDate": "2022-07-01",
+        "X": 458,
+        "Segment": "Tablet"
+      },
+      {
+        "EndDate": "2022-08-31",
+        "X": 720,
+        "Segment": "Laptop"
+      },
+      {
+        "EndDate": "2022-08-31",
+        "X": 848,
+        "Segment": "Phone"
+      },
+      {
+        "EndDate": "2022-08-31",
+        "X": 287,
+        "Segment": "Tablet"
+      },
+      {
+        "EndDate": "2022-10-31",
+        "X": 206,
+        "Segment": "Laptop"
+      },
+      {
+        "EndDate": "2022-10-31",
+        "X": 108,
+        "Segment": "Phone"
+      },
+      {
+        "EndDate": "2022-10-31",
+        "X": 591,
+        "Segment": "Tablet"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/bar-chart/14-card20.flint.json b/test-harness/excel/evaluations/inputs/bar-chart/14-card20.flint.json
new file mode 100644
index 00000000..88a2e82e
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/bar-chart/14-card20.flint.json
@@ -0,0 +1,101 @@
+{
+  "semantic_types": {
+    "X": "Quantity",
+    "Value": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Bar Chart",
+    "encodings": {
+      "x": "X",
+      "y": "Value"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "X": 1,
+        "Value": 633
+      },
+      {
+        "X": 2,
+        "Value": 80
+      },
+      {
+        "X": 3,
+        "Value": 121
+      },
+      {
+        "X": 4,
+        "Value": 174
+      },
+      {
+        "X": 5,
+        "Value": 21
+      },
+      {
+        "X": 6,
+        "Value": 606
+      },
+      {
+        "X": 7,
+        "Value": 734
+      },
+      {
+        "X": 8,
+        "Value": 638
+      },
+      {
+        "X": 9,
+        "Value": 122
+      },
+      {
+        "X": 10,
+        "Value": 242
+      },
+      {
+        "X": 11,
+        "Value": 376
+      },
+      {
+        "X": 12,
+        "Value": 735
+      },
+      {
+        "X": 13,
+        "Value": 981
+      },
+      {
+        "X": 14,
+        "Value": 555
+      },
+      {
+        "X": 15,
+        "Value": 970
+      },
+      {
+        "X": 16,
+        "Value": 54
+      },
+      {
+        "X": 17,
+        "Value": 601
+      },
+      {
+        "X": 18,
+        "Value": 134
+      },
+      {
+        "X": 19,
+        "Value": 924
+      },
+      {
+        "X": 20,
+        "Value": 172
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/bar-chart/15-card30.flint.json b/test-harness/excel/evaluations/inputs/bar-chart/15-card30.flint.json
new file mode 100644
index 00000000..5541613c
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/bar-chart/15-card30.flint.json
@@ -0,0 +1,141 @@
+{
+  "semantic_types": {
+    "X": "Quantity",
+    "Value": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Bar Chart",
+    "encodings": {
+      "x": "X",
+      "y": "Value"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "X": 1,
+        "Value": 390
+      },
+      {
+        "X": 2,
+        "Value": 934
+      },
+      {
+        "X": 3,
+        "Value": 91
+      },
+      {
+        "X": 4,
+        "Value": 151
+      },
+      {
+        "X": 5,
+        "Value": 615
+      },
+      {
+        "X": 6,
+        "Value": 442
+      },
+      {
+        "X": 7,
+        "Value": 332
+      },
+      {
+        "X": 8,
+        "Value": 151
+      },
+      {
+        "X": 9,
+        "Value": 857
+      },
+      {
+        "X": 10,
+        "Value": 708
+      },
+      {
+        "X": 11,
+        "Value": 746
+      },
+      {
+        "X": 12,
+        "Value": 875
+      },
+      {
+        "X": 13,
+        "Value": 83
+      },
+      {
+        "X": 14,
+        "Value": 799
+      },
+      {
+        "X": 15,
+        "Value": 517
+      },
+      {
+        "X": 16,
+        "Value": 167
+      },
+      {
+        "X": 17,
+        "Value": 890
+      },
+      {
+        "X": 18,
+        "Value": 140
+      },
+      {
+        "X": 19,
+        "Value": 130
+      },
+      {
+        "X": 20,
+        "Value": 235
+      },
+      {
+        "X": 21,
+        "Value": 145
+      },
+      {
+        "X": 22,
+        "Value": 174
+      },
+      {
+        "X": 23,
+        "Value": 170
+      },
+      {
+        "X": 24,
+        "Value": 214
+      },
+      {
+        "X": 25,
+        "Value": 74
+      },
+      {
+        "X": 26,
+        "Value": 511
+      },
+      {
+        "X": 27,
+        "Value": 519
+      },
+      {
+        "X": 28,
+        "Value": 721
+      },
+      {
+        "X": 29,
+        "Value": 304
+      },
+      {
+        "X": 30,
+        "Value": 191
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/bar-chart/16-card5.flint.json b/test-harness/excel/evaluations/inputs/bar-chart/16-card5.flint.json
new file mode 100644
index 00000000..82dd90cd
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/bar-chart/16-card5.flint.json
@@ -0,0 +1,89 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Group": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Bar Chart",
+    "encodings": {
+      "x": "Category",
+      "y": "Group"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Category": "Laptop",
+        "Group": "USA"
+      },
+      {
+        "Category": "Laptop",
+        "Group": "Japan"
+      },
+      {
+        "Category": "Laptop",
+        "Group": "UK"
+      },
+      {
+        "Category": "Phone",
+        "Group": "USA"
+      },
+      {
+        "Category": "Phone",
+        "Group": "Japan"
+      },
+      {
+        "Category": "Phone",
+        "Group": "Germany"
+      },
+      {
+        "Category": "Phone",
+        "Group": "UK"
+      },
+      {
+        "Category": "Tablet",
+        "Group": "USA"
+      },
+      {
+        "Category": "Tablet",
+        "Group": "Japan"
+      },
+      {
+        "Category": "Tablet",
+        "Group": "Germany"
+      },
+      {
+        "Category": "Tablet",
+        "Group": "UK"
+      },
+      {
+        "Category": "Desktop",
+        "Group": "China"
+      },
+      {
+        "Category": "Desktop",
+        "Group": "Germany"
+      },
+      {
+        "Category": "Desktop",
+        "Group": "UK"
+      },
+      {
+        "Category": "Monitor",
+        "Group": "USA"
+      },
+      {
+        "Category": "Monitor",
+        "Group": "China"
+      },
+      {
+        "Category": "Monitor",
+        "Group": "Japan"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/bar-chart/17-card25.flint.json b/test-harness/excel/evaluations/inputs/bar-chart/17-card25.flint.json
new file mode 100644
index 00000000..a934f537
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/bar-chart/17-card25.flint.json
@@ -0,0 +1,121 @@
+{
+  "semantic_types": {
+    "Date": "Date",
+    "Group": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Bar Chart",
+    "encodings": {
+      "x": "Date",
+      "y": "Group"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Date": "2020-01-01",
+        "Group": "Laptop"
+      },
+      {
+        "Date": "2020-02-13",
+        "Group": "Desktop"
+      },
+      {
+        "Date": "2020-03-28",
+        "Group": "Laptop"
+      },
+      {
+        "Date": "2020-05-11",
+        "Group": "Phone"
+      },
+      {
+        "Date": "2020-06-24",
+        "Group": "Monitor"
+      },
+      {
+        "Date": "2020-08-07",
+        "Group": "Laptop"
+      },
+      {
+        "Date": "2020-09-19",
+        "Group": "Laptop"
+      },
+      {
+        "Date": "2020-11-02",
+        "Group": "Tablet"
+      },
+      {
+        "Date": "2020-12-16",
+        "Group": "Tablet"
+      },
+      {
+        "Date": "2021-01-29",
+        "Group": "Tablet"
+      },
+      {
+        "Date": "2021-03-14",
+        "Group": "Monitor"
+      },
+      {
+        "Date": "2021-04-26",
+        "Group": "Monitor"
+      },
+      {
+        "Date": "2021-06-09",
+        "Group": "Phone"
+      },
+      {
+        "Date": "2021-07-23",
+        "Group": "Desktop"
+      },
+      {
+        "Date": "2021-09-05",
+        "Group": "Phone"
+      },
+      {
+        "Date": "2021-10-19",
+        "Group": "Desktop"
+      },
+      {
+        "Date": "2021-12-01",
+        "Group": "Phone"
+      },
+      {
+        "Date": "2022-01-14",
+        "Group": "Desktop"
+      },
+      {
+        "Date": "2022-02-27",
+        "Group": "Desktop"
+      },
+      {
+        "Date": "2022-04-12",
+        "Group": "Desktop"
+      },
+      {
+        "Date": "2022-05-26",
+        "Group": "Monitor"
+      },
+      {
+        "Date": "2022-07-08",
+        "Group": "Laptop"
+      },
+      {
+        "Date": "2022-08-21",
+        "Group": "Tablet"
+      },
+      {
+        "Date": "2022-10-04",
+        "Group": "Desktop"
+      },
+      {
+        "Date": "2022-11-17",
+        "Group": "Desktop"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/bar-chart/18-card5.flint.json b/test-harness/excel/evaluations/inputs/bar-chart/18-card5.flint.json
new file mode 100644
index 00000000..29779751
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/bar-chart/18-card5.flint.json
@@ -0,0 +1,41 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "EndDate": "Date"
+  },
+  "chart_spec": {
+    "chartType": "Bar Chart",
+    "encodings": {
+      "x": "Category",
+      "y": "EndDate"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Category": "Laptop",
+        "EndDate": "2023-11-07"
+      },
+      {
+        "Category": "Phone",
+        "EndDate": "2023-01-28"
+      },
+      {
+        "Category": "Tablet",
+        "EndDate": "2023-07-24"
+      },
+      {
+        "Category": "Desktop",
+        "EndDate": "2023-04-27"
+      },
+      {
+        "Category": "Monitor",
+        "EndDate": "2023-07-12"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/boxplot/00-card5.flint.json b/test-harness/excel/evaluations/inputs/boxplot/00-card5.flint.json
new file mode 100644
index 00000000..ca0d1961
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/boxplot/00-card5.flint.json
@@ -0,0 +1,621 @@
+{
+  "semantic_types": {
+    "Group": "Category",
+    "Value": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Boxplot",
+    "encodings": {
+      "x": "Group",
+      "y": "Value"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Group": "Electronics",
+        "Value": 1
+      },
+      {
+        "Group": "Electronics",
+        "Value": 8
+      },
+      {
+        "Group": "Electronics",
+        "Value": 92
+      },
+      {
+        "Group": "Electronics",
+        "Value": 6
+      },
+      {
+        "Group": "Electronics",
+        "Value": 94
+      },
+      {
+        "Group": "Electronics",
+        "Value": 27
+      },
+      {
+        "Group": "Electronics",
+        "Value": 93
+      },
+      {
+        "Group": "Electronics",
+        "Value": 21
+      },
+      {
+        "Group": "Electronics",
+        "Value": 51
+      },
+      {
+        "Group": "Electronics",
+        "Value": 29
+      },
+      {
+        "Group": "Electronics",
+        "Value": 45
+      },
+      {
+        "Group": "Electronics",
+        "Value": 59
+      },
+      {
+        "Group": "Electronics",
+        "Value": 68
+      },
+      {
+        "Group": "Electronics",
+        "Value": 20
+      },
+      {
+        "Group": "Electronics",
+        "Value": 42
+      },
+      {
+        "Group": "Electronics",
+        "Value": 79
+      },
+      {
+        "Group": "Electronics",
+        "Value": 80
+      },
+      {
+        "Group": "Electronics",
+        "Value": 39
+      },
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+}
diff --git a/test-harness/excel/evaluations/inputs/boxplot/01-card5.flint.json b/test-harness/excel/evaluations/inputs/boxplot/01-card5.flint.json
new file mode 100644
index 00000000..4c37a009
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/boxplot/01-card5.flint.json
@@ -0,0 +1,421 @@
+{
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+    "Score": "Score"
+  },
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+    "encodings": {
+      "x": "Level",
+      "y": "Score"
+    },
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+      "height": 360
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+}
diff --git a/test-harness/excel/evaluations/inputs/boxplot/02-card12.flint.json b/test-harness/excel/evaluations/inputs/boxplot/02-card12.flint.json
new file mode 100644
index 00000000..e99b2960
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/boxplot/02-card12.flint.json
@@ -0,0 +1,2421 @@
+{
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+    "Department": "Department",
+    "Salary": "Amount"
+  },
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+    "chartType": "Boxplot",
+    "encodings": {
+      "x": "Department",
+      "y": "Salary"
+    },
+    "baseSize": {
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+      "height": 360
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diff --git a/test-harness/excel/evaluations/inputs/boxplot/03-card4.flint.json b/test-harness/excel/evaluations/inputs/boxplot/03-card4.flint.json
new file mode 100644
index 00000000..d96ac0f8
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/boxplot/03-card4.flint.json
@@ -0,0 +1,1023 @@
+{
+  "semantic_types": {
+    "Group": "Category",
+    "Score": "Score",
+    "Gender": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Boxplot",
+    "encodings": {
+      "x": "Group",
+      "y": "Score",
+      "color": "Gender"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
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+        "Gender": "Male",
+        "Score": 27
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+      {
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+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/boxplot/04-card6.flint.json b/test-harness/excel/evaluations/inputs/boxplot/04-card6.flint.json
new file mode 100644
index 00000000..974c1fcb
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/boxplot/04-card6.flint.json
@@ -0,0 +1,2423 @@
+{
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+    "Country": "Country",
+    "Revenue": "Amount",
+    "Quarter": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Boxplot",
+    "encodings": {
+      "x": "Country",
+      "y": "Revenue",
+      "color": "Quarter"
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+      "height": 360
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+  },
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diff --git a/test-harness/excel/evaluations/inputs/boxplot/05-card8.flint.json b/test-harness/excel/evaluations/inputs/boxplot/05-card8.flint.json
new file mode 100644
index 00000000..351401a9
--- /dev/null
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index 00000000..45bfc67d
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new file mode 100644
index 00000000..cc7a72cd
--- /dev/null
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diff --git a/test-harness/excel/evaluations/inputs/boxplot/08-card6.flint.json b/test-harness/excel/evaluations/inputs/boxplot/08-card6.flint.json
new file mode 100644
index 00000000..b75d2cdd
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/boxplot/08-card6.flint.json
@@ -0,0 +1,1106 @@
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diff --git a/test-harness/excel/evaluations/inputs/boxplot/09-card6.flint.json b/test-harness/excel/evaluations/inputs/boxplot/09-card6.flint.json
new file mode 100644
index 00000000..29b4d9a9
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/boxplot/09-card6.flint.json
@@ -0,0 +1,1106 @@
+{
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diff --git a/test-harness/excel/evaluations/inputs/candlestick-chart/00-card30.flint.json b/test-harness/excel/evaluations/inputs/candlestick-chart/00-card30.flint.json
new file mode 100644
index 00000000..ee1590f0
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/candlestick-chart/00-card30.flint.json
@@ -0,0 +1,237 @@
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+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/candlestick-chart/01-card90.flint.json b/test-harness/excel/evaluations/inputs/candlestick-chart/01-card90.flint.json
new file mode 100644
index 00000000..1a5daf6a
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/candlestick-chart/01-card90.flint.json
@@ -0,0 +1,657 @@
+{
+  "semantic_types": {
+    "Date": "Date",
+    "Open": "Quantity",
+    "High": "Quantity",
+    "Low": "Quantity",
+    "Close": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Candlestick Chart",
+    "encodings": {
+      "x": "Date",
+      "open": "Open",
+      "high": "High",
+      "low": "Low",
+      "close": "Close"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
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+      },
+      {
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+      },
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+      },
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+      },
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+      },
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+        "High": 68.7,
+        "Low": 65.53,
+        "Close": 67.45
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/candlestick-chart/02-card20.flint.json b/test-harness/excel/evaluations/inputs/candlestick-chart/02-card20.flint.json
new file mode 100644
index 00000000..35e392a0
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/candlestick-chart/02-card20.flint.json
@@ -0,0 +1,167 @@
+{
+  "semantic_types": {
+    "Date": "Date",
+    "Open": "Quantity",
+    "High": "Quantity",
+    "Low": "Quantity",
+    "Close": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Candlestick Chart",
+    "encodings": {
+      "x": "Date",
+      "open": "Open",
+      "high": "High",
+      "low": "Low",
+      "close": "Close"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
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+      },
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+      },
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+        "Low": 5.67,
+        "Close": 6.01
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/connected-scatter-plot/00-card9.flint.json b/test-harness/excel/evaluations/inputs/connected-scatter-plot/00-card9.flint.json
new file mode 100644
index 00000000..357f80b9
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/connected-scatter-plot/00-card9.flint.json
@@ -0,0 +1,73 @@
+{
+  "semantic_types": {
+    "Unemployment Rate": "Quantity",
+    "Inflation Rate": "Quantity",
+    "Year": "Year"
+  },
+  "chart_spec": {
+    "chartType": "Connected Scatter Plot",
+    "encodings": {
+      "x": "Unemployment Rate",
+      "y": "Inflation Rate",
+      "order": "Year"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Year": 2014,
+        "Unemployment Rate": 6.2,
+        "Inflation Rate": 1.6
+      },
+      {
+        "Year": 2015,
+        "Unemployment Rate": 5.3,
+        "Inflation Rate": 0.1
+      },
+      {
+        "Year": 2016,
+        "Unemployment Rate": 4.9,
+        "Inflation Rate": 1.3
+      },
+      {
+        "Year": 2017,
+        "Unemployment Rate": 4.4,
+        "Inflation Rate": 2.1
+      },
+      {
+        "Year": 2018,
+        "Unemployment Rate": 3.9,
+        "Inflation Rate": 2.4
+      },
+      {
+        "Year": 2019,
+        "Unemployment Rate": 3.7,
+        "Inflation Rate": 1.8
+      },
+      {
+        "Year": 2020,
+        "Unemployment Rate": 8.1,
+        "Inflation Rate": 1.2
+      },
+      {
+        "Year": 2021,
+        "Unemployment Rate": 5.4,
+        "Inflation Rate": 4.7
+      },
+      {
+        "Year": 2022,
+        "Unemployment Rate": 3.6,
+        "Inflation Rate": 8
+      },
+      {
+        "Year": 2023,
+        "Unemployment Rate": 3.7,
+        "Inflation Rate": 4.1
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/connected-scatter-plot/01-card21.flint.json b/test-harness/excel/evaluations/inputs/connected-scatter-plot/01-card21.flint.json
new file mode 100644
index 00000000..6843ada9
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/connected-scatter-plot/01-card21.flint.json
@@ -0,0 +1,169 @@
+{
+  "semantic_types": {
+    "GDP Growth": "Quantity",
+    "Inflation": "Quantity",
+    "Year": "Year",
+    "Country": "Country"
+  },
+  "chart_spec": {
+    "chartType": "Connected Scatter Plot",
+    "encodings": {
+      "x": "GDP Growth",
+      "y": "Inflation",
+      "order": "Year",
+      "color": "Country"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Country": "USA",
+        "Year": 2016,
+        "GDP Growth": 1.7,
+        "Inflation": 1.3
+      },
+      {
+        "Country": "USA",
+        "Year": 2017,
+        "GDP Growth": 2.3,
+        "Inflation": 2.1
+      },
+      {
+        "Country": "USA",
+        "Year": 2018,
+        "GDP Growth": 2.9,
+        "Inflation": 2.4
+      },
+      {
+        "Country": "USA",
+        "Year": 2019,
+        "GDP Growth": 2.3,
+        "Inflation": 1.8
+      },
+      {
+        "Country": "USA",
+        "Year": 2020,
+        "GDP Growth": -3.4,
+        "Inflation": 1.2
+      },
+      {
+        "Country": "USA",
+        "Year": 2021,
+        "GDP Growth": 5.9,
+        "Inflation": 4.7
+      },
+      {
+        "Country": "USA",
+        "Year": 2022,
+        "GDP Growth": 2.1,
+        "Inflation": 8
+      },
+      {
+        "Country": "USA",
+        "Year": 2023,
+        "GDP Growth": 2.5,
+        "Inflation": 4.1
+      },
+      {
+        "Country": "China",
+        "Year": 2016,
+        "GDP Growth": 6.8,
+        "Inflation": 2
+      },
+      {
+        "Country": "China",
+        "Year": 2017,
+        "GDP Growth": 6.9,
+        "Inflation": 1.6
+      },
+      {
+        "Country": "China",
+        "Year": 2018,
+        "GDP Growth": 6.7,
+        "Inflation": 2.1
+      },
+      {
+        "Country": "China",
+        "Year": 2019,
+        "GDP Growth": 6,
+        "Inflation": 2.9
+      },
+      {
+        "Country": "China",
+        "Year": 2020,
+        "GDP Growth": 2.2,
+        "Inflation": 2.4
+      },
+      {
+        "Country": "China",
+        "Year": 2021,
+        "GDP Growth": 8.4,
+        "Inflation": 0.9
+      },
+      {
+        "Country": "China",
+        "Year": 2022,
+        "GDP Growth": 3,
+        "Inflation": 2
+      },
+      {
+        "Country": "China",
+        "Year": 2023,
+        "GDP Growth": 5.2,
+        "Inflation": 0.2
+      },
+      {
+        "Country": "Japan",
+        "Year": 2016,
+        "GDP Growth": 0.8,
+        "Inflation": -0.1
+      },
+      {
+        "Country": "Japan",
+        "Year": 2017,
+        "GDP Growth": 1.7,
+        "Inflation": 0.5
+      },
+      {
+        "Country": "Japan",
+        "Year": 2018,
+        "GDP Growth": 0.6,
+        "Inflation": 1
+      },
+      {
+        "Country": "Japan",
+        "Year": 2019,
+        "GDP Growth": -0.4,
+        "Inflation": 0.5
+      },
+      {
+        "Country": "Japan",
+        "Year": 2020,
+        "GDP Growth": -4.3,
+        "Inflation": 0
+      },
+      {
+        "Country": "Japan",
+        "Year": 2021,
+        "GDP Growth": 2.1,
+        "Inflation": -0.2
+      },
+      {
+        "Country": "Japan",
+        "Year": 2022,
+        "GDP Growth": 1,
+        "Inflation": 2.5
+      },
+      {
+        "Country": "Japan",
+        "Year": 2023,
+        "GDP Growth": 1.9,
+        "Inflation": 3.3
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/connected-scatter-plot/02-card12.flint.json b/test-harness/excel/evaluations/inputs/connected-scatter-plot/02-card12.flint.json
new file mode 100644
index 00000000..7166f1d1
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/connected-scatter-plot/02-card12.flint.json
@@ -0,0 +1,83 @@
+{
+  "semantic_types": {
+    "Trade Volume": "Quantity",
+    "Share Price": "Quantity",
+    "Date": "Date"
+  },
+  "chart_spec": {
+    "chartType": "Connected Scatter Plot",
+    "encodings": {
+      "x": "Trade Volume",
+      "y": "Share Price",
+      "order": "Date"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Date": "2023-01-03",
+        "Trade Volume": 58,
+        "Share Price": 142
+      },
+      {
+        "Date": "2023-02-01",
+        "Trade Volume": 47,
+        "Share Price": 151
+      },
+      {
+        "Date": "2023-03-01",
+        "Trade Volume": 63,
+        "Share Price": 148
+      },
+      {
+        "Date": "2023-04-03",
+        "Trade Volume": 41,
+        "Share Price": 165
+      },
+      {
+        "Date": "2023-05-01",
+        "Trade Volume": 38,
+        "Share Price": 172
+      },
+      {
+        "Date": "2023-06-01",
+        "Trade Volume": 52,
+        "Share Price": 180
+      },
+      {
+        "Date": "2023-07-03",
+        "Trade Volume": 35,
+        "Share Price": 193
+      },
+      {
+        "Date": "2023-08-01",
+        "Trade Volume": 44,
+        "Share Price": 188
+      },
+      {
+        "Date": "2023-09-01",
+        "Trade Volume": 71,
+        "Share Price": 171
+      },
+      {
+        "Date": "2023-10-02",
+        "Trade Volume": 66,
+        "Share Price": 170
+      },
+      {
+        "Date": "2023-11-01",
+        "Trade Volume": 49,
+        "Share Price": 189
+      },
+      {
+        "Date": "2023-12-01",
+        "Trade Volume": 40,
+        "Share Price": 192
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/connected-scatter-plot/03-card12.flint.json b/test-harness/excel/evaluations/inputs/connected-scatter-plot/03-card12.flint.json
new file mode 100644
index 00000000..f9b5db86
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/connected-scatter-plot/03-card12.flint.json
@@ -0,0 +1,143 @@
+{
+  "semantic_types": {
+    "Signal A": "Quantity",
+    "Signal B": "Quantity",
+    "Step": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Connected Scatter Plot",
+    "encodings": {
+      "x": "Signal A",
+      "y": "Signal B",
+      "order": "Step"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Step": 0,
+        "Signal A": 90,
+        "Signal B": 50
+      },
+      {
+        "Step": 1,
+        "Signal A": 88.5,
+        "Signal B": 60.4
+      },
+      {
+        "Step": 2,
+        "Signal A": 84.2,
+        "Signal B": 67.8
+      },
+      {
+        "Step": 3,
+        "Signal A": 77.3,
+        "Signal B": 70
+      },
+      {
+        "Step": 4,
+        "Signal A": 68.4,
+        "Signal B": 66.3
+      },
+      {
+        "Step": 5,
+        "Signal A": 58.1,
+        "Signal B": 58
+      },
+      {
+        "Step": 6,
+        "Signal A": 47.3,
+        "Signal B": 47.3
+      },
+      {
+        "Step": 7,
+        "Signal A": 36.6,
+        "Signal B": 37.4
+      },
+      {
+        "Step": 8,
+        "Signal A": 26.9,
+        "Signal B": 31.2
+      },
+      {
+        "Step": 9,
+        "Signal A": 19,
+        "Signal B": 30.4
+      },
+      {
+        "Step": 10,
+        "Signal A": 13.3,
+        "Signal B": 35.4
+      },
+      {
+        "Step": 11,
+        "Signal A": 10.4,
+        "Signal B": 44.6
+      },
+      {
+        "Step": 12,
+        "Signal A": 10.4,
+        "Signal B": 55.4
+      },
+      {
+        "Step": 13,
+        "Signal A": 13.3,
+        "Signal B": 64.6
+      },
+      {
+        "Step": 14,
+        "Signal A": 19,
+        "Signal B": 69.6
+      },
+      {
+        "Step": 15,
+        "Signal A": 26.9,
+        "Signal B": 68.8
+      },
+      {
+        "Step": 16,
+        "Signal A": 36.6,
+        "Signal B": 62.6
+      },
+      {
+        "Step": 17,
+        "Signal A": 47.3,
+        "Signal B": 52.7
+      },
+      {
+        "Step": 18,
+        "Signal A": 58.1,
+        "Signal B": 42
+      },
+      {
+        "Step": 19,
+        "Signal A": 68.4,
+        "Signal B": 33.7
+      },
+      {
+        "Step": 20,
+        "Signal A": 77.3,
+        "Signal B": 30
+      },
+      {
+        "Step": 21,
+        "Signal A": 84.2,
+        "Signal B": 32.2
+      },
+      {
+        "Step": 22,
+        "Signal A": 88.5,
+        "Signal B": 39.6
+      },
+      {
+        "Step": 23,
+        "Signal A": 90,
+        "Signal B": 50
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/connected-scatter-plot/04-card15.flint.json b/test-harness/excel/evaluations/inputs/connected-scatter-plot/04-card15.flint.json
new file mode 100644
index 00000000..b585a0b1
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/connected-scatter-plot/04-card15.flint.json
@@ -0,0 +1,121 @@
+{
+  "semantic_types": {
+    "Temperature": "Quantity",
+    "Pressure": "Quantity",
+    "Step": "Quantity",
+    "Experiment": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Connected Scatter Plot",
+    "encodings": {
+      "x": "Temperature",
+      "y": "Pressure",
+      "order": "Step",
+      "color": "Experiment"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Experiment": "Trial A",
+        "Step": 1,
+        "Temperature": 20,
+        "Pressure": 1
+      },
+      {
+        "Experiment": "Trial A",
+        "Step": 2,
+        "Temperature": 35,
+        "Pressure": 1.4
+      },
+      {
+        "Experiment": "Trial A",
+        "Step": 3,
+        "Temperature": 55,
+        "Pressure": 2.1
+      },
+      {
+        "Experiment": "Trial A",
+        "Step": 4,
+        "Temperature": 70,
+        "Pressure": 3
+      },
+      {
+        "Experiment": "Trial A",
+        "Step": 5,
+        "Temperature": 60,
+        "Pressure": 2.6
+      },
+      {
+        "Experiment": "Trial A",
+        "Step": 6,
+        "Temperature": 45,
+        "Pressure": 1.9
+      },
+      {
+        "Experiment": "Trial A",
+        "Step": 7,
+        "Temperature": 30,
+        "Pressure": 1.3
+      },
+      {
+        "Experiment": "Trial A",
+        "Step": 8,
+        "Temperature": 22,
+        "Pressure": 1.05
+      },
+      {
+        "Experiment": "Trial B",
+        "Step": 1,
+        "Temperature": 25,
+        "Pressure": 1.1
+      },
+      {
+        "Experiment": "Trial B",
+        "Step": 2,
+        "Temperature": 30,
+        "Pressure": 1.2
+      },
+      {
+        "Experiment": "Trial B",
+        "Step": 3,
+        "Temperature": 48,
+        "Pressure": 1.8
+      },
+      {
+        "Experiment": "Trial B",
+        "Step": 4,
+        "Temperature": 68,
+        "Pressure": 2.7
+      },
+      {
+        "Experiment": "Trial B",
+        "Step": 5,
+        "Temperature": 80,
+        "Pressure": 3.4
+      },
+      {
+        "Experiment": "Trial B",
+        "Step": 6,
+        "Temperature": 62,
+        "Pressure": 2.4
+      },
+      {
+        "Experiment": "Trial B",
+        "Step": 7,
+        "Temperature": 40,
+        "Pressure": 1.5
+      },
+      {
+        "Experiment": "Trial B",
+        "Step": 8,
+        "Temperature": 28,
+        "Pressure": 1.15
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/connected-scatter-plot/05-card4.flint.json b/test-harness/excel/evaluations/inputs/connected-scatter-plot/05-card4.flint.json
new file mode 100644
index 00000000..7f187ede
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/connected-scatter-plot/05-card4.flint.json
@@ -0,0 +1,43 @@
+{
+  "semantic_types": {
+    "Cost": "Quantity",
+    "Revenue": "Quantity",
+    "Quarter": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Connected Scatter Plot",
+    "encodings": {
+      "x": "Cost",
+      "y": "Revenue",
+      "order": "Quarter"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Quarter": 1,
+        "Cost": 12,
+        "Revenue": 18
+      },
+      {
+        "Quarter": 2,
+        "Cost": 20,
+        "Revenue": 26
+      },
+      {
+        "Quarter": 3,
+        "Cost": 17,
+        "Revenue": 35
+      },
+      {
+        "Quarter": 4,
+        "Cost": 24,
+        "Revenue": 30
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/connected-scatter-plot/06-card35.flint.json b/test-harness/excel/evaluations/inputs/connected-scatter-plot/06-card35.flint.json
new file mode 100644
index 00000000..ea2d93c4
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/connected-scatter-plot/06-card35.flint.json
@@ -0,0 +1,203 @@
+{
+  "semantic_types": {
+    "X Position": "Quantity",
+    "Y Position": "Quantity",
+    "Step": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Connected Scatter Plot",
+    "encodings": {
+      "x": "X Position",
+      "y": "Y Position",
+      "order": "Step"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Step": 0,
+        "X Position": 68.1,
+        "Y Position": 60
+      },
+      {
+        "Step": 1,
+        "X Position": 72.6,
+        "Y Position": 62
+      },
+      {
+        "Step": 2,
+        "X Position": 70.9,
+        "Y Position": 67.2
+      },
+      {
+        "Step": 3,
+        "X Position": 69.5,
+        "Y Position": 70.2
+      },
+      {
+        "Step": 4,
+        "X Position": 66.8,
+        "Y Position": 75.2
+      },
+      {
+        "Step": 5,
+        "X Position": 65.9,
+        "Y Position": 76.9
+      },
+      {
+        "Step": 6,
+        "X Position": 59.3,
+        "Y Position": 77.8
+      },
+      {
+        "Step": 7,
+        "X Position": 52.7,
+        "Y Position": 78.9
+      },
+      {
+        "Step": 8,
+        "X Position": 48.4,
+        "Y Position": 79.4
+      },
+      {
+        "Step": 9,
+        "X Position": 42.8,
+        "Y Position": 75.7
+      },
+      {
+        "Step": 10,
+        "X Position": 37.9,
+        "Y Position": 70.9
+      },
+      {
+        "Step": 11,
+        "X Position": 31.9,
+        "Y Position": 63.2
+      },
+      {
+        "Step": 12,
+        "X Position": 30.3,
+        "Y Position": 57.6
+      },
+      {
+        "Step": 13,
+        "X Position": 30.4,
+        "Y Position": 50.5
+      },
+      {
+        "Step": 14,
+        "X Position": 35,
+        "Y Position": 41.4
+      },
+      {
+        "Step": 15,
+        "X Position": 38,
+        "Y Position": 32.3
+      },
+      {
+        "Step": 16,
+        "X Position": 46.9,
+        "Y Position": 25.9
+      },
+      {
+        "Step": 17,
+        "X Position": 54.2,
+        "Y Position": 21.1
+      },
+      {
+        "Step": 18,
+        "X Position": 66.1,
+        "Y Position": 21.5
+      },
+      {
+        "Step": 19,
+        "X Position": 77.2,
+        "Y Position": 21.6
+      },
+      {
+        "Step": 20,
+        "X Position": 86.2,
+        "Y Position": 27.8
+      },
+      {
+        "Step": 21,
+        "X Position": 93.7,
+        "Y Position": 33.6
+      },
+      {
+        "Step": 22,
+        "X Position": 104.2,
+        "Y Position": 43.2
+      },
+      {
+        "Step": 23,
+        "X Position": 107.4,
+        "Y Position": 55.5
+      },
+      {
+        "Step": 24,
+        "X Position": 107.7,
+        "Y Position": 67.3
+      },
+      {
+        "Step": 25,
+        "X Position": 106.7,
+        "Y Position": 83.2
+      },
+      {
+        "Step": 26,
+        "X Position": 99.8,
+        "Y Position": 95.8
+      },
+      {
+        "Step": 27,
+        "X Position": 90.8,
+        "Y Position": 103.8
+      },
+      {
+        "Step": 28,
+        "X Position": 77.7,
+        "Y Position": 112.7
+      },
+      {
+        "Step": 29,
+        "X Position": 60.8,
+        "Y Position": 117.2
+      },
+      {
+        "Step": 30,
+        "X Position": 48.4,
+        "Y Position": 115.2
+      },
+      {
+        "Step": 31,
+        "X Position": 29.8,
+        "Y Position": 111.9
+      },
+      {
+        "Step": 32,
+        "X Position": 19.5,
+        "Y Position": 105.4
+      },
+      {
+        "Step": 33,
+        "X Position": 4.9,
+        "Y Position": 93.5
+      },
+      {
+        "Step": 34,
+        "X Position": -3.4,
+        "Y Position": 76.8
+      },
+      {
+        "Step": 35,
+        "X Position": -6.3,
+        "Y Position": 59.1
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/connected-scatter-plot/07-card24.flint.json b/test-harness/excel/evaluations/inputs/connected-scatter-plot/07-card24.flint.json
new file mode 100644
index 00000000..1976fe43
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/connected-scatter-plot/07-card24.flint.json
@@ -0,0 +1,169 @@
+{
+  "semantic_types": {
+    "Drift": "Quantity",
+    "Noise": "Quantity",
+    "Step": "Quantity",
+    "Sensor": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Connected Scatter Plot",
+    "encodings": {
+      "x": "Drift",
+      "y": "Noise",
+      "order": "Step",
+      "detail": "Sensor"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Sensor": "Laptop",
+        "Step": 1,
+        "Drift": 19.5,
+        "Noise": 37.6
+      },
+      {
+        "Sensor": "Laptop",
+        "Step": 2,
+        "Drift": 29.7,
+        "Noise": 36.4
+      },
+      {
+        "Sensor": "Laptop",
+        "Step": 3,
+        "Drift": 36.8,
+        "Noise": 25.4
+      },
+      {
+        "Sensor": "Laptop",
+        "Step": 4,
+        "Drift": 38.4,
+        "Noise": 14.2
+      },
+      {
+        "Sensor": "Laptop",
+        "Step": 5,
+        "Drift": 29.2,
+        "Noise": 7.4
+      },
+      {
+        "Sensor": "Laptop",
+        "Step": 6,
+        "Drift": 18.6,
+        "Noise": 3.2
+      },
+      {
+        "Sensor": "Phone",
+        "Step": 1,
+        "Drift": 30.3,
+        "Noise": 49.8
+      },
+      {
+        "Sensor": "Phone",
+        "Step": 2,
+        "Drift": 42.9,
+        "Noise": 47.3
+      },
+      {
+        "Sensor": "Phone",
+        "Step": 3,
+        "Drift": 50.7,
+        "Noise": 36.6
+      },
+      {
+        "Sensor": "Phone",
+        "Step": 4,
+        "Drift": 48.9,
+        "Noise": 26.9
+      },
+      {
+        "Sensor": "Phone",
+        "Step": 5,
+        "Drift": 41.2,
+        "Noise": 19
+      },
+      {
+        "Sensor": "Phone",
+        "Step": 6,
+        "Drift": 32.4,
+        "Noise": 15.8
+      },
+      {
+        "Sensor": "Tablet",
+        "Step": 1,
+        "Drift": 45.5,
+        "Noise": 63.6
+      },
+      {
+        "Sensor": "Tablet",
+        "Step": 2,
+        "Drift": 55.1,
+        "Noise": 58.9
+      },
+      {
+        "Sensor": "Tablet",
+        "Step": 3,
+        "Drift": 61.4,
+        "Noise": 47.6
+      },
+      {
+        "Sensor": "Tablet",
+        "Step": 4,
+        "Drift": 62.7,
+        "Noise": 37.6
+      },
+      {
+        "Sensor": "Tablet",
+        "Step": 5,
+        "Drift": 54.3,
+        "Noise": 28.1
+      },
+      {
+        "Sensor": "Tablet",
+        "Step": 6,
+        "Drift": 44.7,
+        "Noise": 27.9
+      },
+      {
+        "Sensor": "Desktop",
+        "Step": 1,
+        "Drift": 57.2,
+        "Noise": 75.7
+      },
+      {
+        "Sensor": "Desktop",
+        "Step": 2,
+        "Drift": 66.8,
+        "Noise": 68.7
+      },
+      {
+        "Sensor": "Desktop",
+        "Step": 3,
+        "Drift": 73.5,
+        "Noise": 62.1
+      },
+      {
+        "Sensor": "Desktop",
+        "Step": 4,
+        "Drift": 74.9,
+        "Noise": 52.3
+      },
+      {
+        "Sensor": "Desktop",
+        "Step": 5,
+        "Drift": 67.3,
+        "Noise": 39.6
+      },
+      {
+        "Sensor": "Desktop",
+        "Step": 6,
+        "Drift": 54,
+        "Noise": 37
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/donut-chart/00-card0.flint.json b/test-harness/excel/evaluations/inputs/donut-chart/00-card0.flint.json
new file mode 100644
index 00000000..2f318305
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/donut-chart/00-card0.flint.json
@@ -0,0 +1,40 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Value": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Donut Chart",
+    "encodings": {
+      "size": "Value",
+      "color": "Category"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    },
+    "chartProperties": {
+      "innerRadius": 50
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Category": "Electronics",
+        "Value": 103
+      },
+      {
+        "Category": "Clothing",
+        "Value": 215
+      },
+      {
+        "Category": "Food",
+        "Value": 342
+      },
+      {
+        "Category": "Books",
+        "Value": 560
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/donut-chart/01-card0.flint.json b/test-harness/excel/evaluations/inputs/donut-chart/01-card0.flint.json
new file mode 100644
index 00000000..d6ded0b8
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/donut-chart/01-card0.flint.json
@@ -0,0 +1,64 @@
+{
+  "semantic_types": {
+    "Product": "Product",
+    "Revenue": "Amount"
+  },
+  "chart_spec": {
+    "chartType": "Donut Chart",
+    "encodings": {
+      "size": "Revenue",
+      "color": "Product"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    },
+    "chartProperties": {
+      "innerRadius": 50
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Product": "Laptop",
+        "Revenue": 2924
+      },
+      {
+        "Product": "Phone",
+        "Revenue": 2506
+      },
+      {
+        "Product": "Tablet",
+        "Revenue": 6721
+      },
+      {
+        "Product": "Desktop",
+        "Revenue": 1826
+      },
+      {
+        "Product": "Monitor",
+        "Revenue": 4934
+      },
+      {
+        "Product": "Keyboard",
+        "Revenue": 7789
+      },
+      {
+        "Product": "Mouse",
+        "Revenue": 8215
+      },
+      {
+        "Product": "Headphones",
+        "Revenue": 5798
+      },
+      {
+        "Product": "Speaker",
+        "Revenue": 7950
+      },
+      {
+        "Product": "Camera",
+        "Revenue": 6919
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/donut-chart/02-card0.flint.json b/test-harness/excel/evaluations/inputs/donut-chart/02-card0.flint.json
new file mode 100644
index 00000000..7abc3480
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/donut-chart/02-card0.flint.json
@@ -0,0 +1,104 @@
+{
+  "semantic_types": {
+    "Region": "Category",
+    "Sales": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Donut Chart",
+    "encodings": {
+      "size": "Sales",
+      "color": "Region"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    },
+    "chartProperties": {
+      "innerRadius": 50
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Region": "Electronics",
+        "Sales": 4347
+      },
+      {
+        "Region": "Clothing",
+        "Sales": 4301
+      },
+      {
+        "Region": "Food",
+        "Sales": 5098
+      },
+      {
+        "Region": "Books",
+        "Sales": 1293
+      },
+      {
+        "Region": "Sports",
+        "Sales": 4163
+      },
+      {
+        "Region": "Home",
+        "Sales": 2869
+      },
+      {
+        "Region": "Garden",
+        "Sales": 5444
+      },
+      {
+        "Region": "Auto",
+        "Sales": 2591
+      },
+      {
+        "Region": "Health",
+        "Sales": 1407
+      },
+      {
+        "Region": "Beauty",
+        "Sales": 2246
+      },
+      {
+        "Region": "Toys",
+        "Sales": 5168
+      },
+      {
+        "Region": "Music",
+        "Sales": 3215
+      },
+      {
+        "Region": "Movies",
+        "Sales": 3360
+      },
+      {
+        "Region": "Software",
+        "Sales": 1176
+      },
+      {
+        "Region": "Games",
+        "Sales": 4497
+      },
+      {
+        "Region": "Office",
+        "Sales": 5262
+      },
+      {
+        "Region": "Pet",
+        "Sales": 1783
+      },
+      {
+        "Region": "Baby",
+        "Sales": 4292
+      },
+      {
+        "Region": "Tools",
+        "Sales": 5312
+      },
+      {
+        "Region": "Crafts",
+        "Sales": 5358
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/donut-chart/03-card0.flint.json b/test-harness/excel/evaluations/inputs/donut-chart/03-card0.flint.json
new file mode 100644
index 00000000..b79a0a86
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/donut-chart/03-card0.flint.json
@@ -0,0 +1,48 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Value": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Donut Chart",
+    "encodings": {
+      "size": "Value",
+      "color": "Category"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    },
+    "chartProperties": {
+      "innerRadius": 50
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Category": "Dominant",
+        "Value": 5000
+      },
+      {
+        "Category": "Small-A",
+        "Value": 200
+      },
+      {
+        "Category": "Small-B",
+        "Value": 180
+      },
+      {
+        "Category": "Small-C",
+        "Value": 150
+      },
+      {
+        "Category": "Tiny-1",
+        "Value": 30
+      },
+      {
+        "Category": "Tiny-2",
+        "Value": 20
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/funnel-chart/00-card5.flint.json b/test-harness/excel/evaluations/inputs/funnel-chart/00-card5.flint.json
new file mode 100644
index 00000000..a560df96
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/funnel-chart/00-card5.flint.json
@@ -0,0 +1,41 @@
+{
+  "semantic_types": {
+    "Stage": "Category",
+    "Count": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Funnel Chart",
+    "encodings": {
+      "y": "Stage",
+      "size": "Count"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Stage": "Visits",
+        "Count": 10006
+      },
+      {
+        "Stage": "Signups",
+        "Count": 5230
+      },
+      {
+        "Stage": "Trials",
+        "Count": 2984
+      },
+      {
+        "Stage": "Purchases",
+        "Count": 1670
+      },
+      {
+        "Stage": "Renewals",
+        "Count": 839
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/funnel-chart/01-card5.flint.json b/test-harness/excel/evaluations/inputs/funnel-chart/01-card5.flint.json
new file mode 100644
index 00000000..23a12323
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/funnel-chart/01-card5.flint.json
@@ -0,0 +1,44 @@
+{
+  "semantic_types": {
+    "Step": "Category",
+    "Candidates": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Funnel Chart",
+    "encodings": {
+      "y": "Step",
+      "size": "Candidates"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    },
+    "chartProperties": {
+      "sort": "ascending"
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Step": "Applied",
+        "Candidates": 510
+      },
+      {
+        "Step": "Screened",
+        "Candidates": 286
+      },
+      {
+        "Step": "Interviewed",
+        "Candidates": 160
+      },
+      {
+        "Step": "Offered",
+        "Candidates": 112
+      },
+      {
+        "Step": "Hired",
+        "Candidates": 63
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/funnel-chart/02-card8.flint.json b/test-harness/excel/evaluations/inputs/funnel-chart/02-card8.flint.json
new file mode 100644
index 00000000..7538c61d
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/funnel-chart/02-card8.flint.json
@@ -0,0 +1,53 @@
+{
+  "semantic_types": {
+    "Phase": "Category",
+    "Users": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Funnel Chart",
+    "encodings": {
+      "y": "Phase",
+      "size": "Users"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Phase": "Awareness",
+        "Users": 50603
+      },
+      {
+        "Phase": "Interest",
+        "Users": 33400
+      },
+      {
+        "Phase": "Consideration",
+        "Users": 22767
+      },
+      {
+        "Phase": "Intent",
+        "Users": 15130
+      },
+      {
+        "Phase": "Evaluation",
+        "Users": 10415
+      },
+      {
+        "Phase": "Trial",
+        "Users": 7105
+      },
+      {
+        "Phase": "Purchase",
+        "Users": 5229
+      },
+      {
+        "Phase": "Loyalty",
+        "Users": 3243
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/grouped-bar-chart/00-card4.flint.json b/test-harness/excel/evaluations/inputs/grouped-bar-chart/00-card4.flint.json
new file mode 100644
index 00000000..6553c049
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/grouped-bar-chart/00-card4.flint.json
@@ -0,0 +1,83 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Value": "Quantity",
+    "Segment": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Grouped Bar Chart",
+    "encodings": {
+      "x": "Category",
+      "y": "Value",
+      "group": "Segment"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Category": "Laptop",
+        "Value": 12,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Laptop",
+        "Value": 467,
+        "Segment": "China"
+      },
+      {
+        "Category": "Laptop",
+        "Value": 685,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Phone",
+        "Value": 599,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Phone",
+        "Value": 832,
+        "Segment": "China"
+      },
+      {
+        "Category": "Phone",
+        "Value": 691,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Tablet",
+        "Value": 122,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Tablet",
+        "Value": 663,
+        "Segment": "China"
+      },
+      {
+        "Category": "Tablet",
+        "Value": 791,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Desktop",
+        "Value": 414,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Desktop",
+        "Value": 60,
+        "Segment": "China"
+      },
+      {
+        "Category": "Desktop",
+        "Value": 827,
+        "Segment": "Japan"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/grouped-bar-chart/01-card8.flint.json b/test-harness/excel/evaluations/inputs/grouped-bar-chart/01-card8.flint.json
new file mode 100644
index 00000000..eae3bab3
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/grouped-bar-chart/01-card8.flint.json
@@ -0,0 +1,53 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Value": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Grouped Bar Chart",
+    "encodings": {
+      "x": "Category",
+      "y": "Value"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Category": "Laptop",
+        "Value": 297
+      },
+      {
+        "Category": "Phone",
+        "Value": 378
+      },
+      {
+        "Category": "Tablet",
+        "Value": 48
+      },
+      {
+        "Category": "Desktop",
+        "Value": 911
+      },
+      {
+        "Category": "Monitor",
+        "Value": 351
+      },
+      {
+        "Category": "Keyboard",
+        "Value": 316
+      },
+      {
+        "Category": "Mouse",
+        "Value": 34
+      },
+      {
+        "Category": "Headphones",
+        "Value": 62
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/grouped-bar-chart/02-card90.flint.json b/test-harness/excel/evaluations/inputs/grouped-bar-chart/02-card90.flint.json
new file mode 100644
index 00000000..3fefd6c5
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/grouped-bar-chart/02-card90.flint.json
@@ -0,0 +1,1373 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Value": "Quantity",
+    "Segment": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Grouped Bar Chart",
+    "encodings": {
+      "x": "Category",
+      "y": "Value",
+      "group": "Segment"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Category": "James Walker",
+        "Value": 253,
+        "Segment": "USA"
+      },
+      {
+        "Category": "James Walker",
+        "Value": 41,
+        "Segment": "China"
+      },
+      {
+        "Category": "James Walker",
+        "Value": 696,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Paul Wilson",
+        "Value": 140,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Paul Wilson",
+        "Value": 852,
+        "Segment": "China"
+      },
+      {
+        "Category": "Paul Wilson",
+        "Value": 88,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Jessica Martin",
+        "Value": 594,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Jessica Martin",
+        "Value": 184,
+        "Segment": "China"
+      },
+      {
+        "Category": "Jessica Martin",
+        "Value": 802,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Christopher Moore",
+        "Value": 364,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Christopher Moore",
+        "Value": 105,
+        "Segment": "China"
+      },
+      {
+        "Category": "Christopher Moore",
+        "Value": 663,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Betty Wilson",
+        "Value": 739,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Betty Wilson",
+        "Value": 247,
+        "Segment": "China"
+      },
+      {
+        "Category": "Betty Wilson",
+        "Value": 826,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Steven Lewis",
+        "Value": 476,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Steven Lewis",
+        "Value": 794,
+        "Segment": "China"
+      },
+      {
+        "Category": "Steven Lewis",
+        "Value": 924,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Karen Lopez",
+        "Value": 318,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Karen Lopez",
+        "Value": 606,
+        "Segment": "China"
+      },
+      {
+        "Category": "Karen Lopez",
+        "Value": 121,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Sandra Wright",
+        "Value": 767,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Sandra Wright",
+        "Value": 800,
+        "Segment": "China"
+      },
+      {
+        "Category": "Sandra Wright",
+        "Value": 17,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Daniel King",
+        "Value": 461,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Daniel King",
+        "Value": 808,
+        "Segment": "China"
+      },
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+        "Category": "Joseph Sanchez",
+        "Value": 738,
+        "Segment": "China"
+      },
+      {
+        "Category": "Joseph Sanchez",
+        "Value": 91,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Paul Perez",
+        "Value": 155,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Paul Perez",
+        "Value": 906,
+        "Segment": "China"
+      },
+      {
+        "Category": "Paul Perez",
+        "Value": 187,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Joshua Rodriguez",
+        "Value": 271,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Joshua Rodriguez",
+        "Value": 16,
+        "Segment": "China"
+      },
+      {
+        "Category": "Joshua Rodriguez",
+        "Value": 208,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Anthony Sanchez",
+        "Value": 756,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Anthony Sanchez",
+        "Value": 324,
+        "Segment": "China"
+      },
+      {
+        "Category": "Anthony Sanchez",
+        "Value": 751,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Linda King",
+        "Value": 177,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Linda King",
+        "Value": 583,
+        "Segment": "China"
+      },
+      {
+        "Category": "Linda King",
+        "Value": 927,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Elizabeth Smith",
+        "Value": 679,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Elizabeth Smith",
+        "Value": 616,
+        "Segment": "China"
+      },
+      {
+        "Category": "Elizabeth Smith",
+        "Value": 371,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Sandra Miller",
+        "Value": 526,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Sandra Miller",
+        "Value": 209,
+        "Segment": "China"
+      },
+      {
+        "Category": "Sandra Miller",
+        "Value": 873,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Nancy Allen",
+        "Value": 164,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Nancy Allen",
+        "Value": 73,
+        "Segment": "China"
+      },
+      {
+        "Category": "Nancy Allen",
+        "Value": 325,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Patricia Brown",
+        "Value": 651,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Patricia Brown",
+        "Value": 651,
+        "Segment": "China"
+      },
+      {
+        "Category": "Patricia Brown",
+        "Value": 271,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Lisa Clark",
+        "Value": 957,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Lisa Clark",
+        "Value": 767,
+        "Segment": "China"
+      },
+      {
+        "Category": "Lisa Clark",
+        "Value": 654,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Lisa Thompson",
+        "Value": 218,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Lisa Thompson",
+        "Value": 69,
+        "Segment": "China"
+      },
+      {
+        "Category": "Lisa Thompson",
+        "Value": 168,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Nancy Clark",
+        "Value": 741,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Nancy Clark",
+        "Value": 650,
+        "Segment": "China"
+      },
+      {
+        "Category": "Nancy Clark",
+        "Value": 198,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Steven Miller",
+        "Value": 401,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Steven Miller",
+        "Value": 552,
+        "Segment": "China"
+      },
+      {
+        "Category": "Steven Miller",
+        "Value": 971,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Charles King",
+        "Value": 224,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Charles King",
+        "Value": 919,
+        "Segment": "China"
+      },
+      {
+        "Category": "Charles King",
+        "Value": 937,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Paul Harris",
+        "Value": 449,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Paul Harris",
+        "Value": 310,
+        "Segment": "China"
+      },
+      {
+        "Category": "Paul Harris",
+        "Value": 73,
+        "Segment": "Japan"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/grouped-bar-chart/03-card6.flint.json b/test-harness/excel/evaluations/inputs/grouped-bar-chart/03-card6.flint.json
new file mode 100644
index 00000000..09dd72a9
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/grouped-bar-chart/03-card6.flint.json
@@ -0,0 +1,173 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Value": "Quantity",
+    "ColorVal": "Rank"
+  },
+  "chart_spec": {
+    "chartType": "Grouped Bar Chart",
+    "encodings": {
+      "x": "Category",
+      "y": "Value",
+      "group": "ColorVal"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Category": "Laptop",
+        "Value": 511,
+        "ColorVal": 1
+      },
+      {
+        "Category": "Laptop",
+        "Value": 326,
+        "ColorVal": 2
+      },
+      {
+        "Category": "Laptop",
+        "Value": 387,
+        "ColorVal": 3
+      },
+      {
+        "Category": "Laptop",
+        "Value": 159,
+        "ColorVal": 4
+      },
+      {
+        "Category": "Laptop",
+        "Value": 89,
+        "ColorVal": 5
+      },
+      {
+        "Category": "Phone",
+        "Value": 496,
+        "ColorVal": 1
+      },
+      {
+        "Category": "Phone",
+        "Value": 825,
+        "ColorVal": 2
+      },
+      {
+        "Category": "Phone",
+        "Value": 421,
+        "ColorVal": 3
+      },
+      {
+        "Category": "Phone",
+        "Value": 804,
+        "ColorVal": 4
+      },
+      {
+        "Category": "Phone",
+        "Value": 437,
+        "ColorVal": 5
+      },
+      {
+        "Category": "Tablet",
+        "Value": 874,
+        "ColorVal": 1
+      },
+      {
+        "Category": "Tablet",
+        "Value": 883,
+        "ColorVal": 2
+      },
+      {
+        "Category": "Tablet",
+        "Value": 858,
+        "ColorVal": 3
+      },
+      {
+        "Category": "Tablet",
+        "Value": 39,
+        "ColorVal": 4
+      },
+      {
+        "Category": "Tablet",
+        "Value": 933,
+        "ColorVal": 5
+      },
+      {
+        "Category": "Desktop",
+        "Value": 470,
+        "ColorVal": 1
+      },
+      {
+        "Category": "Desktop",
+        "Value": 111,
+        "ColorVal": 2
+      },
+      {
+        "Category": "Desktop",
+        "Value": 637,
+        "ColorVal": 3
+      },
+      {
+        "Category": "Desktop",
+        "Value": 951,
+        "ColorVal": 4
+      },
+      {
+        "Category": "Desktop",
+        "Value": 239,
+        "ColorVal": 5
+      },
+      {
+        "Category": "Monitor",
+        "Value": 774,
+        "ColorVal": 1
+      },
+      {
+        "Category": "Monitor",
+        "Value": 839,
+        "ColorVal": 2
+      },
+      {
+        "Category": "Monitor",
+        "Value": 182,
+        "ColorVal": 3
+      },
+      {
+        "Category": "Monitor",
+        "Value": 403,
+        "ColorVal": 4
+      },
+      {
+        "Category": "Monitor",
+        "Value": 901,
+        "ColorVal": 5
+      },
+      {
+        "Category": "Keyboard",
+        "Value": 898,
+        "ColorVal": 1
+      },
+      {
+        "Category": "Keyboard",
+        "Value": 914,
+        "ColorVal": 2
+      },
+      {
+        "Category": "Keyboard",
+        "Value": 511,
+        "ColorVal": 3
+      },
+      {
+        "Category": "Keyboard",
+        "Value": 602,
+        "ColorVal": 4
+      },
+      {
+        "Category": "Keyboard",
+        "Value": 77,
+        "ColorVal": 5
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/grouped-bar-chart/04-card12.flint.json b/test-harness/excel/evaluations/inputs/grouped-bar-chart/04-card12.flint.json
new file mode 100644
index 00000000..12ff785c
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/grouped-bar-chart/04-card12.flint.json
@@ -0,0 +1,203 @@
+{
+  "semantic_types": {
+    "Date": "Date",
+    "Value": "Quantity",
+    "Segment": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Grouped Bar Chart",
+    "encodings": {
+      "x": "Date",
+      "y": "Value",
+      "group": "Segment"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Date": "2020-01-01",
+        "Value": 980,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2020-01-01",
+        "Value": 60,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2020-01-01",
+        "Value": 702,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2020-04-01",
+        "Value": 804,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2020-04-01",
+        "Value": 604,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2020-04-01",
+        "Value": 569,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2020-07-01",
+        "Value": 229,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2020-07-01",
+        "Value": 441,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2020-07-01",
+        "Value": 431,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2020-09-30",
+        "Value": 262,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2020-09-30",
+        "Value": 656,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2020-09-30",
+        "Value": 77,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2020-12-31",
+        "Value": 906,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2020-12-31",
+        "Value": 69,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2020-12-31",
+        "Value": 771,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2021-04-01",
+        "Value": 356,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2021-04-01",
+        "Value": 790,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2021-04-01",
+        "Value": 484,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2021-07-01",
+        "Value": 923,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2021-07-01",
+        "Value": 185,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2021-07-01",
+        "Value": 540,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2021-09-30",
+        "Value": 872,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2021-09-30",
+        "Value": 189,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2021-09-30",
+        "Value": 587,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2021-12-31",
+        "Value": 238,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2021-12-31",
+        "Value": 432,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2021-12-31",
+        "Value": 217,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2022-04-01",
+        "Value": 58,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2022-04-01",
+        "Value": 473,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2022-04-01",
+        "Value": 139,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2022-07-01",
+        "Value": 152,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2022-07-01",
+        "Value": 413,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2022-07-01",
+        "Value": 554,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2022-09-30",
+        "Value": 695,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2022-09-30",
+        "Value": 951,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2022-09-30",
+        "Value": 127,
+        "Segment": "Tablet"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/grouped-bar-chart/05-card5.flint.json b/test-harness/excel/evaluations/inputs/grouped-bar-chart/05-card5.flint.json
new file mode 100644
index 00000000..e3b3dd52
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/grouped-bar-chart/05-card5.flint.json
@@ -0,0 +1,123 @@
+{
+  "semantic_types": {
+    "X": "Quantity",
+    "Value": "Quantity",
+    "Segment": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Grouped Bar Chart",
+    "encodings": {
+      "x": "X",
+      "y": "Value",
+      "group": "Segment"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "X": 1,
+        "Value": 39,
+        "Segment": "Laptop"
+      },
+      {
+        "X": 1,
+        "Value": 154,
+        "Segment": "Phone"
+      },
+      {
+        "X": 1,
+        "Value": 518,
+        "Segment": "Tablet"
+      },
+      {
+        "X": 1,
+        "Value": 844,
+        "Segment": "Desktop"
+      },
+      {
+        "X": 2,
+        "Value": 774,
+        "Segment": "Laptop"
+      },
+      {
+        "X": 2,
+        "Value": 490,
+        "Segment": "Phone"
+      },
+      {
+        "X": 2,
+        "Value": 270,
+        "Segment": "Tablet"
+      },
+      {
+        "X": 2,
+        "Value": 895,
+        "Segment": "Desktop"
+      },
+      {
+        "X": 3,
+        "Value": 843,
+        "Segment": "Laptop"
+      },
+      {
+        "X": 3,
+        "Value": 361,
+        "Segment": "Phone"
+      },
+      {
+        "X": 3,
+        "Value": 984,
+        "Segment": "Tablet"
+      },
+      {
+        "X": 3,
+        "Value": 36,
+        "Segment": "Desktop"
+      },
+      {
+        "X": 4,
+        "Value": 30,
+        "Segment": "Laptop"
+      },
+      {
+        "X": 4,
+        "Value": 201,
+        "Segment": "Phone"
+      },
+      {
+        "X": 4,
+        "Value": 215,
+        "Segment": "Tablet"
+      },
+      {
+        "X": 4,
+        "Value": 728,
+        "Segment": "Desktop"
+      },
+      {
+        "X": 5,
+        "Value": 139,
+        "Segment": "Laptop"
+      },
+      {
+        "X": 5,
+        "Value": 629,
+        "Segment": "Phone"
+      },
+      {
+        "X": 5,
+        "Value": 232,
+        "Segment": "Tablet"
+      },
+      {
+        "X": 5,
+        "Value": 94,
+        "Segment": "Desktop"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/grouped-bar-chart/06-card24.flint.json b/test-harness/excel/evaluations/inputs/grouped-bar-chart/06-card24.flint.json
new file mode 100644
index 00000000..2031d434
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/grouped-bar-chart/06-card24.flint.json
@@ -0,0 +1,143 @@
+{
+  "semantic_types": {
+    "X": "Quantity",
+    "Group": "Category",
+    "Segment": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Grouped Bar Chart",
+    "encodings": {
+      "x": "X",
+      "y": "Group",
+      "group": "Segment"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Group": "Laptop",
+        "X": 354,
+        "Segment": "USA"
+      },
+      {
+        "Group": "Laptop",
+        "X": 992,
+        "Segment": "China"
+      },
+      {
+        "Group": "Laptop",
+        "X": 729,
+        "Segment": "Japan"
+      },
+      {
+        "Group": "Laptop",
+        "X": 518,
+        "Segment": "Germany"
+      },
+      {
+        "Group": "Phone",
+        "X": 465,
+        "Segment": "USA"
+      },
+      {
+        "Group": "Phone",
+        "X": 707,
+        "Segment": "China"
+      },
+      {
+        "Group": "Phone",
+        "X": 855,
+        "Segment": "Japan"
+      },
+      {
+        "Group": "Phone",
+        "X": 167,
+        "Segment": "Germany"
+      },
+      {
+        "Group": "Tablet",
+        "X": 360,
+        "Segment": "USA"
+      },
+      {
+        "Group": "Tablet",
+        "X": 283,
+        "Segment": "China"
+      },
+      {
+        "Group": "Tablet",
+        "X": 710,
+        "Segment": "Japan"
+      },
+      {
+        "Group": "Tablet",
+        "X": 975,
+        "Segment": "Germany"
+      },
+      {
+        "Group": "Desktop",
+        "X": 925,
+        "Segment": "USA"
+      },
+      {
+        "Group": "Desktop",
+        "X": 990,
+        "Segment": "China"
+      },
+      {
+        "Group": "Desktop",
+        "X": 899,
+        "Segment": "Japan"
+      },
+      {
+        "Group": "Desktop",
+        "X": 14,
+        "Segment": "Germany"
+      },
+      {
+        "Group": "Monitor",
+        "X": 928,
+        "Segment": "USA"
+      },
+      {
+        "Group": "Monitor",
+        "X": 903,
+        "Segment": "China"
+      },
+      {
+        "Group": "Monitor",
+        "X": 442,
+        "Segment": "Japan"
+      },
+      {
+        "Group": "Monitor",
+        "X": 548,
+        "Segment": "Germany"
+      },
+      {
+        "Group": "Keyboard",
+        "X": 64,
+        "Segment": "USA"
+      },
+      {
+        "Group": "Keyboard",
+        "X": 215,
+        "Segment": "China"
+      },
+      {
+        "Group": "Keyboard",
+        "X": 920,
+        "Segment": "Japan"
+      },
+      {
+        "Group": "Keyboard",
+        "X": 750,
+        "Segment": "Germany"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/grouped-bar-chart/07-card30.flint.json b/test-harness/excel/evaluations/inputs/grouped-bar-chart/07-card30.flint.json
new file mode 100644
index 00000000..937a2c2e
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/grouped-bar-chart/07-card30.flint.json
@@ -0,0 +1,173 @@
+{
+  "semantic_types": {
+    "X": "Quantity",
+    "EndDate": "Date",
+    "Segment": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Grouped Bar Chart",
+    "encodings": {
+      "x": "X",
+      "y": "EndDate",
+      "group": "Segment"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "EndDate": "2020-01-01",
+        "X": 734,
+        "Segment": "Laptop"
+      },
+      {
+        "EndDate": "2020-01-01",
+        "X": 68,
+        "Segment": "Phone"
+      },
+      {
+        "EndDate": "2020-01-01",
+        "X": 719,
+        "Segment": "Tablet"
+      },
+      {
+        "EndDate": "2020-04-19",
+        "X": 798,
+        "Segment": "Laptop"
+      },
+      {
+        "EndDate": "2020-04-19",
+        "X": 602,
+        "Segment": "Phone"
+      },
+      {
+        "EndDate": "2020-04-19",
+        "X": 96,
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+        "Segment": "Laptop"
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+        "Segment": "Tablet"
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+        "Segment": "Laptop"
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+        "Segment": "Tablet"
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+      {
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+        "Segment": "Laptop"
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+      {
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+        "Segment": "Phone"
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+        "Segment": "Tablet"
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+        "Segment": "Laptop"
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+        "X": 339,
+        "Segment": "Tablet"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/grouped-bar-chart/08-card8.flint.json b/test-harness/excel/evaluations/inputs/grouped-bar-chart/08-card8.flint.json
new file mode 100644
index 00000000..d871d376
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/grouped-bar-chart/08-card8.flint.json
@@ -0,0 +1,2023 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Value": "Quantity",
+    "ColorVal": "Rank"
+  },
+  "chart_spec": {
+    "chartType": "Grouped Bar Chart",
+    "encodings": {
+      "x": "Category",
+      "y": "Value",
+      "group": "ColorVal"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
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+        "ColorVal": 1
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+      {
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+        "ColorVal": 2
+      },
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+        "Value": 250,
+        "ColorVal": 3
+      },
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+        "Value": 74,
+        "ColorVal": 4
+      },
+      {
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+        "ColorVal": 5
+      },
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+        "ColorVal": 6
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+        "ColorVal": 7
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+        "ColorVal": 34
+      },
+      {
+        "Category": "Headphones",
+        "Value": 431,
+        "ColorVal": 35
+      },
+      {
+        "Category": "Headphones",
+        "Value": 866,
+        "ColorVal": 36
+      },
+      {
+        "Category": "Headphones",
+        "Value": 938,
+        "ColorVal": 37
+      },
+      {
+        "Category": "Headphones",
+        "Value": 679,
+        "ColorVal": 38
+      },
+      {
+        "Category": "Headphones",
+        "Value": 751,
+        "ColorVal": 39
+      },
+      {
+        "Category": "Headphones",
+        "Value": 862,
+        "ColorVal": 40
+      },
+      {
+        "Category": "Headphones",
+        "Value": 44,
+        "ColorVal": 41
+      },
+      {
+        "Category": "Headphones",
+        "Value": 721,
+        "ColorVal": 42
+      },
+      {
+        "Category": "Headphones",
+        "Value": 816,
+        "ColorVal": 43
+      },
+      {
+        "Category": "Headphones",
+        "Value": 956,
+        "ColorVal": 44
+      },
+      {
+        "Category": "Headphones",
+        "Value": 316,
+        "ColorVal": 45
+      },
+      {
+        "Category": "Headphones",
+        "Value": 49,
+        "ColorVal": 46
+      },
+      {
+        "Category": "Headphones",
+        "Value": 929,
+        "ColorVal": 47
+      },
+      {
+        "Category": "Headphones",
+        "Value": 414,
+        "ColorVal": 48
+      },
+      {
+        "Category": "Headphones",
+        "Value": 786,
+        "ColorVal": 49
+      },
+      {
+        "Category": "Headphones",
+        "Value": 915,
+        "ColorVal": 50
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/grouped-bar-chart/09-card5.flint.json b/test-harness/excel/evaluations/inputs/grouped-bar-chart/09-card5.flint.json
new file mode 100644
index 00000000..f7dfa563
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/grouped-bar-chart/09-card5.flint.json
@@ -0,0 +1,273 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Value": "Quantity",
+    "ColorVal": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Grouped Bar Chart",
+    "encodings": {
+      "x": "Category",
+      "y": "Value",
+      "group": "ColorVal"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Category": "Laptop",
+        "Value": 463,
+        "ColorVal": 32.32
+      },
+      {
+        "Category": "Laptop",
+        "Value": 566,
+        "ColorVal": 38.29
+      },
+      {
+        "Category": "Laptop",
+        "Value": 529,
+        "ColorVal": 37.65
+      },
+      {
+        "Category": "Laptop",
+        "Value": 922,
+        "ColorVal": 9.81
+      },
+      {
+        "Category": "Laptop",
+        "Value": 788,
+        "ColorVal": 10.93
+      },
+      {
+        "Category": "Laptop",
+        "Value": 527,
+        "ColorVal": 1.86
+      },
+      {
+        "Category": "Laptop",
+        "Value": 991,
+        "ColorVal": 11.69
+      },
+      {
+        "Category": "Laptop",
+        "Value": 581,
+        "ColorVal": 16.23
+      },
+      {
+        "Category": "Laptop",
+        "Value": 297,
+        "ColorVal": 30.57
+      },
+      {
+        "Category": "Laptop",
+        "Value": 634,
+        "ColorVal": 14.39
+      },
+      {
+        "Category": "Phone",
+        "Value": 611,
+        "ColorVal": 28.8
+      },
+      {
+        "Category": "Phone",
+        "Value": 766,
+        "ColorVal": 11.33
+      },
+      {
+        "Category": "Phone",
+        "Value": 665,
+        "ColorVal": 2.13
+      },
+      {
+        "Category": "Phone",
+        "Value": 593,
+        "ColorVal": 6.47
+      },
+      {
+        "Category": "Phone",
+        "Value": 228,
+        "ColorVal": 35.89
+      },
+      {
+        "Category": "Phone",
+        "Value": 235,
+        "ColorVal": 34.12
+      },
+      {
+        "Category": "Phone",
+        "Value": 46,
+        "ColorVal": 34.35
+      },
+      {
+        "Category": "Phone",
+        "Value": 15,
+        "ColorVal": 3.86
+      },
+      {
+        "Category": "Phone",
+        "Value": 745,
+        "ColorVal": 18.13
+      },
+      {
+        "Category": "Phone",
+        "Value": 528,
+        "ColorVal": 37.92
+      },
+      {
+        "Category": "Tablet",
+        "Value": 52,
+        "ColorVal": 16.96
+      },
+      {
+        "Category": "Tablet",
+        "Value": 846,
+        "ColorVal": 35.69
+      },
+      {
+        "Category": "Tablet",
+        "Value": 738,
+        "ColorVal": 28.15
+      },
+      {
+        "Category": "Tablet",
+        "Value": 90,
+        "ColorVal": 28.1
+      },
+      {
+        "Category": "Tablet",
+        "Value": 865,
+        "ColorVal": 18.43
+      },
+      {
+        "Category": "Tablet",
+        "Value": 698,
+        "ColorVal": 1.59
+      },
+      {
+        "Category": "Tablet",
+        "Value": 843,
+        "ColorVal": 25.45
+      },
+      {
+        "Category": "Tablet",
+        "Value": 68,
+        "ColorVal": 24.81
+      },
+      {
+        "Category": "Tablet",
+        "Value": 426,
+        "ColorVal": 32.88
+      },
+      {
+        "Category": "Tablet",
+        "Value": 786,
+        "ColorVal": 34.33
+      },
+      {
+        "Category": "Desktop",
+        "Value": 25,
+        "ColorVal": 10.99
+      },
+      {
+        "Category": "Desktop",
+        "Value": 884,
+        "ColorVal": 37.34
+      },
+      {
+        "Category": "Desktop",
+        "Value": 720,
+        "ColorVal": 37.94
+      },
+      {
+        "Category": "Desktop",
+        "Value": 475,
+        "ColorVal": 28.42
+      },
+      {
+        "Category": "Desktop",
+        "Value": 217,
+        "ColorVal": 12.06
+      },
+      {
+        "Category": "Desktop",
+        "Value": 852,
+        "ColorVal": 11.68
+      },
+      {
+        "Category": "Desktop",
+        "Value": 86,
+        "ColorVal": 18.77
+      },
+      {
+        "Category": "Desktop",
+        "Value": 463,
+        "ColorVal": 2.28
+      },
+      {
+        "Category": "Desktop",
+        "Value": 316,
+        "ColorVal": 16.39
+      },
+      {
+        "Category": "Desktop",
+        "Value": 250,
+        "ColorVal": 26.99
+      },
+      {
+        "Category": "Monitor",
+        "Value": 680,
+        "ColorVal": 9.95
+      },
+      {
+        "Category": "Monitor",
+        "Value": 591,
+        "ColorVal": 38.38
+      },
+      {
+        "Category": "Monitor",
+        "Value": 343,
+        "ColorVal": 9.6
+      },
+      {
+        "Category": "Monitor",
+        "Value": 307,
+        "ColorVal": 3.78
+      },
+      {
+        "Category": "Monitor",
+        "Value": 324,
+        "ColorVal": 15.43
+      },
+      {
+        "Category": "Monitor",
+        "Value": 613,
+        "ColorVal": 16.55
+      },
+      {
+        "Category": "Monitor",
+        "Value": 55,
+        "ColorVal": 30.47
+      },
+      {
+        "Category": "Monitor",
+        "Value": 759,
+        "ColorVal": 31.68
+      },
+      {
+        "Category": "Monitor",
+        "Value": 465,
+        "ColorVal": 18.57
+      },
+      {
+        "Category": "Monitor",
+        "Value": 282,
+        "ColorVal": 23.85
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/grouped-bar-chart/10-card5.flint.json b/test-harness/excel/evaluations/inputs/grouped-bar-chart/10-card5.flint.json
new file mode 100644
index 00000000..b6e65f8c
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/grouped-bar-chart/10-card5.flint.json
@@ -0,0 +1,123 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Group": "Category",
+    "Segment": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Grouped Bar Chart",
+    "encodings": {
+      "x": "Category",
+      "y": "Group",
+      "group": "Segment"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Category": "Laptop",
+        "Group": "USA",
+        "Segment": "Engineering"
+      },
+      {
+        "Category": "Laptop",
+        "Group": "China",
+        "Segment": "Marketing"
+      },
+      {
+        "Category": "Laptop",
+        "Group": "Japan",
+        "Segment": "Sales"
+      },
+      {
+        "Category": "Laptop",
+        "Group": "Germany",
+        "Segment": "Engineering"
+      },
+      {
+        "Category": "Phone",
+        "Group": "China",
+        "Segment": "Marketing"
+      },
+      {
+        "Category": "Phone",
+        "Group": "Japan",
+        "Segment": "Marketing"
+      },
+      {
+        "Category": "Phone",
+        "Group": "Germany",
+        "Segment": "Marketing"
+      },
+      {
+        "Category": "Phone",
+        "Group": "UK",
+        "Segment": "Engineering"
+      },
+      {
+        "Category": "Tablet",
+        "Group": "China",
+        "Segment": "Marketing"
+      },
+      {
+        "Category": "Tablet",
+        "Group": "Japan",
+        "Segment": "Sales"
+      },
+      {
+        "Category": "Tablet",
+        "Group": "Germany",
+        "Segment": "Marketing"
+      },
+      {
+        "Category": "Desktop",
+        "Group": "USA",
+        "Segment": "Marketing"
+      },
+      {
+        "Category": "Desktop",
+        "Group": "China",
+        "Segment": "Engineering"
+      },
+      {
+        "Category": "Desktop",
+        "Group": "Japan",
+        "Segment": "Sales"
+      },
+      {
+        "Category": "Desktop",
+        "Group": "Germany",
+        "Segment": "Engineering"
+      },
+      {
+        "Category": "Desktop",
+        "Group": "UK",
+        "Segment": "Sales"
+      },
+      {
+        "Category": "Monitor",
+        "Group": "USA",
+        "Segment": "Marketing"
+      },
+      {
+        "Category": "Monitor",
+        "Group": "China",
+        "Segment": "Sales"
+      },
+      {
+        "Category": "Monitor",
+        "Group": "Japan",
+        "Segment": "Marketing"
+      },
+      {
+        "Category": "Monitor",
+        "Group": "Germany",
+        "Segment": "Marketing"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/grouped-bar-chart/11-card5.flint.json b/test-harness/excel/evaluations/inputs/grouped-bar-chart/11-card5.flint.json
new file mode 100644
index 00000000..162de392
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/grouped-bar-chart/11-card5.flint.json
@@ -0,0 +1,42 @@
+{
+  "semantic_types": {
+    "Region": "Category",
+    "Sales": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Grouped Bar Chart",
+    "encodings": {
+      "x": "Region",
+      "y": "Sales",
+      "group": "Region"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Region": "Electronics",
+        "Sales": 300
+      },
+      {
+        "Region": "Clothing",
+        "Sales": 527
+      },
+      {
+        "Region": "Food",
+        "Sales": 975
+      },
+      {
+        "Region": "Books",
+        "Sales": 311
+      },
+      {
+        "Region": "Sports",
+        "Sales": 930
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/grouped-bar-chart/12-card6.flint.json b/test-harness/excel/evaluations/inputs/grouped-bar-chart/12-card6.flint.json
new file mode 100644
index 00000000..c8a3829b
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/grouped-bar-chart/12-card6.flint.json
@@ -0,0 +1,93 @@
+{
+  "semantic_types": {
+    "Region": "Category",
+    "Sales": "Quantity",
+    "Channel": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Grouped Bar Chart",
+    "encodings": {
+      "x": "Region",
+      "y": "Sales",
+      "group": "Channel"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Region": "North",
+        "Channel": "Retail",
+        "Sales": 901
+      },
+      {
+        "Region": "North",
+        "Channel": "Online",
+        "Sales": 625
+      },
+      {
+        "Region": "South",
+        "Channel": "Online",
+        "Sales": 481
+      },
+      {
+        "Region": "South",
+        "Channel": "Wholesale",
+        "Sales": 331
+      },
+      {
+        "Region": "South",
+        "Channel": "Direct",
+        "Sales": 841
+      },
+      {
+        "Region": "East",
+        "Channel": "Wholesale",
+        "Sales": 818
+      },
+      {
+        "Region": "East",
+        "Channel": "Direct",
+        "Sales": 594
+      },
+      {
+        "Region": "West",
+        "Channel": "Retail",
+        "Sales": 330
+      },
+      {
+        "Region": "West",
+        "Channel": "Direct",
+        "Sales": 699
+      },
+      {
+        "Region": "Central",
+        "Channel": "Retail",
+        "Sales": 460
+      },
+      {
+        "Region": "Central",
+        "Channel": "Online",
+        "Sales": 903
+      },
+      {
+        "Region": "Central",
+        "Channel": "Wholesale",
+        "Sales": 981
+      },
+      {
+        "Region": "Coast",
+        "Channel": "Online",
+        "Sales": 882
+      },
+      {
+        "Region": "Coast",
+        "Channel": "Direct",
+        "Sales": 966
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/grouped-bar-chart/13-card6.flint.json b/test-harness/excel/evaluations/inputs/grouped-bar-chart/13-card6.flint.json
new file mode 100644
index 00000000..6bee1735
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/grouped-bar-chart/13-card6.flint.json
@@ -0,0 +1,96 @@
+{
+  "semantic_types": {
+    "Region": "Category",
+    "Sales": "Quantity",
+    "Channel": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Grouped Bar Chart",
+    "encodings": {
+      "x": "Region",
+      "y": "Sales",
+      "group": "Channel"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    },
+    "chartProperties": {
+      "dodge": "global"
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Region": "North",
+        "Channel": "Retail",
+        "Sales": 300
+      },
+      {
+        "Region": "North",
+        "Channel": "Online",
+        "Sales": 330
+      },
+      {
+        "Region": "South",
+        "Channel": "Online",
+        "Sales": 340
+      },
+      {
+        "Region": "South",
+        "Channel": "Wholesale",
+        "Sales": 370
+      },
+      {
+        "Region": "South",
+        "Channel": "Direct",
+        "Sales": 400
+      },
+      {
+        "Region": "East",
+        "Channel": "Wholesale",
+        "Sales": 380
+      },
+      {
+        "Region": "East",
+        "Channel": "Direct",
+        "Sales": 410
+      },
+      {
+        "Region": "West",
+        "Channel": "Retail",
+        "Sales": 420
+      },
+      {
+        "Region": "West",
+        "Channel": "Direct",
+        "Sales": 450
+      },
+      {
+        "Region": "Central",
+        "Channel": "Retail",
+        "Sales": 460
+      },
+      {
+        "Region": "Central",
+        "Channel": "Online",
+        "Sales": 490
+      },
+      {
+        "Region": "Central",
+        "Channel": "Wholesale",
+        "Sales": 520
+      },
+      {
+        "Region": "Coast",
+        "Channel": "Online",
+        "Sales": 500
+      },
+      {
+        "Region": "Coast",
+        "Channel": "Direct",
+        "Sales": 530
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/grouped-bar-chart/14-card6.flint.json b/test-harness/excel/evaluations/inputs/grouped-bar-chart/14-card6.flint.json
new file mode 100644
index 00000000..589da374
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/grouped-bar-chart/14-card6.flint.json
@@ -0,0 +1,96 @@
+{
+  "semantic_types": {
+    "Region": "Category",
+    "Sales": "Quantity",
+    "Channel": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Grouped Bar Chart",
+    "encodings": {
+      "x": "Region",
+      "y": "Sales",
+      "group": "Channel"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    },
+    "chartProperties": {
+      "dodge": "local"
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Region": "North",
+        "Channel": "Retail",
+        "Sales": 300
+      },
+      {
+        "Region": "North",
+        "Channel": "Online",
+        "Sales": 330
+      },
+      {
+        "Region": "South",
+        "Channel": "Online",
+        "Sales": 340
+      },
+      {
+        "Region": "South",
+        "Channel": "Wholesale",
+        "Sales": 370
+      },
+      {
+        "Region": "South",
+        "Channel": "Direct",
+        "Sales": 400
+      },
+      {
+        "Region": "East",
+        "Channel": "Wholesale",
+        "Sales": 380
+      },
+      {
+        "Region": "East",
+        "Channel": "Direct",
+        "Sales": 410
+      },
+      {
+        "Region": "West",
+        "Channel": "Retail",
+        "Sales": 420
+      },
+      {
+        "Region": "West",
+        "Channel": "Direct",
+        "Sales": 450
+      },
+      {
+        "Region": "Central",
+        "Channel": "Retail",
+        "Sales": 460
+      },
+      {
+        "Region": "Central",
+        "Channel": "Online",
+        "Sales": 490
+      },
+      {
+        "Region": "Central",
+        "Channel": "Wholesale",
+        "Sales": 520
+      },
+      {
+        "Region": "Coast",
+        "Channel": "Online",
+        "Sales": 500
+      },
+      {
+        "Region": "Coast",
+        "Channel": "Direct",
+        "Sales": 530
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/heatmap/00-card5.flint.json b/test-harness/excel/evaluations/inputs/heatmap/00-card5.flint.json
new file mode 100644
index 00000000..357d9725
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/heatmap/00-card5.flint.json
@@ -0,0 +1,173 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Month": "Month",
+    "Value": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Heatmap",
+    "encodings": {
+      "x": "Category",
+      "y": "Month",
+      "color": "Value"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Category": "Electronics",
+        "Month": "Jan",
+        "Value": 0
+      },
+      {
+        "Category": "Electronics",
+        "Month": "Feb",
+        "Value": 77
+      },
+      {
+        "Category": "Electronics",
+        "Month": "Mar",
+        "Value": 80
+      },
+      {
+        "Category": "Electronics",
+        "Month": "Apr",
+        "Value": 33
+      },
+      {
+        "Category": "Electronics",
+        "Month": "May",
+        "Value": 38
+      },
+      {
+        "Category": "Electronics",
+        "Month": "Jun",
+        "Value": 48
+      },
+      {
+        "Category": "Clothing",
+        "Month": "Jan",
+        "Value": 52
+      },
+      {
+        "Category": "Clothing",
+        "Month": "Feb",
+        "Value": 43
+      },
+      {
+        "Category": "Clothing",
+        "Month": "Mar",
+        "Value": 65
+      },
+      {
+        "Category": "Clothing",
+        "Month": "Apr",
+        "Value": 35
+      },
+      {
+        "Category": "Clothing",
+        "Month": "May",
+        "Value": 75
+      },
+      {
+        "Category": "Clothing",
+        "Month": "Jun",
+        "Value": 71
+      },
+      {
+        "Category": "Food",
+        "Month": "Jan",
+        "Value": 48
+      },
+      {
+        "Category": "Food",
+        "Month": "Feb",
+        "Value": 29
+      },
+      {
+        "Category": "Food",
+        "Month": "Mar",
+        "Value": 73
+      },
+      {
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+      },
+      {
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+      {
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+      {
+        "Category": "Sports",
+        "Month": "Jan",
+        "Value": 8
+      },
+      {
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+        "Month": "Feb",
+        "Value": 46
+      },
+      {
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+      {
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+      {
+        "Category": "Sports",
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+      },
+      {
+        "Category": "Sports",
+        "Month": "Jun",
+        "Value": 60
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/heatmap/01-card10.flint.json b/test-harness/excel/evaluations/inputs/heatmap/01-card10.flint.json
new file mode 100644
index 00000000..df9d3793
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/heatmap/01-card10.flint.json
@@ -0,0 +1,423 @@
+{
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+    "Y": "Quantity",
+    "Density": "Quantity"
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diff --git a/test-harness/excel/evaluations/inputs/heatmap/02-card50.flint.json b/test-harness/excel/evaluations/inputs/heatmap/02-card50.flint.json
new file mode 100644
index 00000000..c3f7777a
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/heatmap/02-card50.flint.json
@@ -0,0 +1,7523 @@
+{
+  "semantic_types": {
+    "Hour": "Quantity",
+    "Day": "Quantity",
+    "Activity": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Heatmap",
+    "encodings": {
+      "x": "Hour",
+      "y": "Day",
+      "color": "Activity"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
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+        "Day": 29,
+        "Activity": 58
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/heatmap/03-card12.flint.json b/test-harness/excel/evaluations/inputs/heatmap/03-card12.flint.json
new file mode 100644
index 00000000..3714b735
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/heatmap/03-card12.flint.json
@@ -0,0 +1,383 @@
+{
+  "semantic_types": {
+    "Month": "Month",
+    "Product": "Product",
+    "Sales": "Amount"
+  },
+  "chart_spec": {
+    "chartType": "Heatmap",
+    "encodings": {
+      "x": "Month",
+      "y": "Product",
+      "color": "Sales"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Month": "Jan",
+        "Product": "Laptop",
+        "Sales": 351
+      },
+      {
+        "Month": "Jan",
+        "Product": "Phone",
+        "Sales": 917
+      },
+      {
+        "Month": "Jan",
+        "Product": "Tablet",
+        "Sales": 456
+      },
+      {
+        "Month": "Jan",
+        "Product": "Desktop",
+        "Sales": 803
+      },
+      {
+        "Month": "Jan",
+        "Product": "Monitor",
+        "Sales": 65
+      },
+      {
+        "Month": "Jan",
+        "Product": "Keyboard",
+        "Sales": 442
+      },
+      {
+        "Month": "Feb",
+        "Product": "Laptop",
+        "Sales": 435
+      },
+      {
+        "Month": "Feb",
+        "Product": "Phone",
+        "Sales": 552
+      },
+      {
+        "Month": "Feb",
+        "Product": "Tablet",
+        "Sales": 883
+      },
+      {
+        "Month": "Feb",
+        "Product": "Desktop",
+        "Sales": 602
+      },
+      {
+        "Month": "Feb",
+        "Product": "Monitor",
+        "Sales": 658
+      },
+      {
+        "Month": "Feb",
+        "Product": "Keyboard",
+        "Sales": 898
+      },
+      {
+        "Month": "Mar",
+        "Product": "Laptop",
+        "Sales": 850
+      },
+      {
+        "Month": "Mar",
+        "Product": "Phone",
+        "Sales": 142
+      },
+      {
+        "Month": "Mar",
+        "Product": "Tablet",
+        "Sales": 643
+      },
+      {
+        "Month": "Mar",
+        "Product": "Desktop",
+        "Sales": 349
+      },
+      {
+        "Month": "Mar",
+        "Product": "Monitor",
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+      },
+      {
+        "Month": "Mar",
+        "Product": "Keyboard",
+        "Sales": 375
+      },
+      {
+        "Month": "Apr",
+        "Product": "Laptop",
+        "Sales": 113
+      },
+      {
+        "Month": "Apr",
+        "Product": "Phone",
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+      },
+      {
+        "Month": "Apr",
+        "Product": "Tablet",
+        "Sales": 910
+      },
+      {
+        "Month": "Apr",
+        "Product": "Desktop",
+        "Sales": 589
+      },
+      {
+        "Month": "Apr",
+        "Product": "Monitor",
+        "Sales": 525
+      },
+      {
+        "Month": "Apr",
+        "Product": "Keyboard",
+        "Sales": 197
+      },
+      {
+        "Month": "May",
+        "Product": "Laptop",
+        "Sales": 574
+      },
+      {
+        "Month": "May",
+        "Product": "Phone",
+        "Sales": 731
+      },
+      {
+        "Month": "May",
+        "Product": "Tablet",
+        "Sales": 200
+      },
+      {
+        "Month": "May",
+        "Product": "Desktop",
+        "Sales": 146
+      },
+      {
+        "Month": "May",
+        "Product": "Monitor",
+        "Sales": 91
+      },
+      {
+        "Month": "May",
+        "Product": "Keyboard",
+        "Sales": 152
+      },
+      {
+        "Month": "Jun",
+        "Product": "Laptop",
+        "Sales": 828
+      },
+      {
+        "Month": "Jun",
+        "Product": "Phone",
+        "Sales": 120
+      },
+      {
+        "Month": "Jun",
+        "Product": "Tablet",
+        "Sales": 876
+      },
+      {
+        "Month": "Jun",
+        "Product": "Desktop",
+        "Sales": 979
+      },
+      {
+        "Month": "Jun",
+        "Product": "Monitor",
+        "Sales": 775
+      },
+      {
+        "Month": "Jun",
+        "Product": "Keyboard",
+        "Sales": 19
+      },
+      {
+        "Month": "Jul",
+        "Product": "Laptop",
+        "Sales": 789
+      },
+      {
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+        "Product": "Phone",
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+      },
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+        "Product": "Tablet",
+        "Sales": 734
+      },
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+      },
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+        "Product": "Monitor",
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+      },
+      {
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+        "Product": "Keyboard",
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+      },
+      {
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+        "Product": "Laptop",
+        "Sales": 259
+      },
+      {
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+        "Product": "Phone",
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+      },
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+      },
+      {
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+        "Product": "Desktop",
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+      },
+      {
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+        "Product": "Monitor",
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+      },
+      {
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+        "Product": "Keyboard",
+        "Sales": 554
+      },
+      {
+        "Month": "Sep",
+        "Product": "Laptop",
+        "Sales": 539
+      },
+      {
+        "Month": "Sep",
+        "Product": "Phone",
+        "Sales": 515
+      },
+      {
+        "Month": "Sep",
+        "Product": "Tablet",
+        "Sales": 818
+      },
+      {
+        "Month": "Sep",
+        "Product": "Desktop",
+        "Sales": 572
+      },
+      {
+        "Month": "Sep",
+        "Product": "Monitor",
+        "Sales": 381
+      },
+      {
+        "Month": "Sep",
+        "Product": "Keyboard",
+        "Sales": 691
+      },
+      {
+        "Month": "Oct",
+        "Product": "Laptop",
+        "Sales": 897
+      },
+      {
+        "Month": "Oct",
+        "Product": "Phone",
+        "Sales": 845
+      },
+      {
+        "Month": "Oct",
+        "Product": "Tablet",
+        "Sales": 154
+      },
+      {
+        "Month": "Oct",
+        "Product": "Desktop",
+        "Sales": 293
+      },
+      {
+        "Month": "Oct",
+        "Product": "Monitor",
+        "Sales": 582
+      },
+      {
+        "Month": "Oct",
+        "Product": "Keyboard",
+        "Sales": 810
+      },
+      {
+        "Month": "Nov",
+        "Product": "Laptop",
+        "Sales": 153
+      },
+      {
+        "Month": "Nov",
+        "Product": "Phone",
+        "Sales": 155
+      },
+      {
+        "Month": "Nov",
+        "Product": "Tablet",
+        "Sales": 867
+      },
+      {
+        "Month": "Nov",
+        "Product": "Desktop",
+        "Sales": 835
+      },
+      {
+        "Month": "Nov",
+        "Product": "Monitor",
+        "Sales": 225
+      },
+      {
+        "Month": "Nov",
+        "Product": "Keyboard",
+        "Sales": 77
+      },
+      {
+        "Month": "Dec",
+        "Product": "Laptop",
+        "Sales": 832
+      },
+      {
+        "Month": "Dec",
+        "Product": "Phone",
+        "Sales": 427
+      },
+      {
+        "Month": "Dec",
+        "Product": "Tablet",
+        "Sales": 973
+      },
+      {
+        "Month": "Dec",
+        "Product": "Desktop",
+        "Sales": 478
+      },
+      {
+        "Month": "Dec",
+        "Product": "Monitor",
+        "Sales": 429
+      },
+      {
+        "Month": "Dec",
+        "Product": "Keyboard",
+        "Sales": 627
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/heatmap/04-card80.flint.json b/test-harness/excel/evaluations/inputs/heatmap/04-card80.flint.json
new file mode 100644
index 00000000..45213aa2
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/heatmap/04-card80.flint.json
@@ -0,0 +1,2023 @@
+{
+  "semantic_types": {
+    "Date": "Date",
+    "Category": "Category",
+    "Intensity": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Heatmap",
+    "encodings": {
+      "x": "Date",
+      "y": "Category",
+      "color": "Intensity"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Date": "2016-01-01",
+        "Category": "Electronics",
+        "Intensity": 41
+      },
+      {
+        "Date": "2016-01-01",
+        "Category": "Clothing",
+        "Intensity": 12
+      },
+      {
+        "Date": "2016-01-01",
+        "Category": "Food",
+        "Intensity": 15
+      },
+      {
+        "Date": "2016-01-01",
+        "Category": "Books",
+        "Intensity": 56
+      },
+      {
+        "Date": "2016-01-01",
+        "Category": "Sports",
+        "Intensity": 90
+      },
+      {
+        "Date": "2016-01-14",
+        "Category": "Electronics",
+        "Intensity": 7
+      },
+      {
+        "Date": "2016-01-14",
+        "Category": "Clothing",
+        "Intensity": 97
+      },
+      {
+        "Date": "2016-01-14",
+        "Category": "Food",
+        "Intensity": 58
+      },
+      {
+        "Date": "2016-01-14",
+        "Category": "Books",
+        "Intensity": 81
+      },
+      {
+        "Date": "2016-01-14",
+        "Category": "Sports",
+        "Intensity": 8
+      },
+      {
+        "Date": "2016-01-28",
+        "Category": "Electronics",
+        "Intensity": 61
+      },
+      {
+        "Date": "2016-01-28",
+        "Category": "Clothing",
+        "Intensity": 32
+      },
+      {
+        "Date": "2016-01-28",
+        "Category": "Food",
+        "Intensity": 96
+      },
+      {
+        "Date": "2016-01-28",
+        "Category": "Books",
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+      },
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+        "Category": "Sports",
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+      },
+      {
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+        "Category": "Electronics",
+        "Intensity": 92
+      },
+      {
+        "Date": "2016-02-11",
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+      },
+      {
+        "Date": "2016-02-11",
+        "Category": "Food",
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+      },
+      {
+        "Date": "2016-02-11",
+        "Category": "Books",
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+      },
+      {
+        "Date": "2016-02-11",
+        "Category": "Sports",
+        "Intensity": 46
+      },
+      {
+        "Date": "2016-02-24",
+        "Category": "Electronics",
+        "Intensity": 61
+      },
+      {
+        "Date": "2016-02-24",
+        "Category": "Clothing",
+        "Intensity": 31
+      },
+      {
+        "Date": "2016-02-24",
+        "Category": "Food",
+        "Intensity": 18
+      },
+      {
+        "Date": "2016-02-24",
+        "Category": "Books",
+        "Intensity": 34
+      },
+      {
+        "Date": "2016-02-24",
+        "Category": "Sports",
+        "Intensity": 25
+      },
+      {
+        "Date": "2016-03-09",
+        "Category": "Electronics",
+        "Intensity": 71
+      },
+      {
+        "Date": "2016-03-09",
+        "Category": "Clothing",
+        "Intensity": 68
+      },
+      {
+        "Date": "2016-03-09",
+        "Category": "Food",
+        "Intensity": 58
+      },
+      {
+        "Date": "2016-03-09",
+        "Category": "Books",
+        "Intensity": 10
+      },
+      {
+        "Date": "2016-03-09",
+        "Category": "Sports",
+        "Intensity": 37
+      },
+      {
+        "Date": "2016-03-23",
+        "Category": "Electronics",
+        "Intensity": 4
+      },
+      {
+        "Date": "2016-03-23",
+        "Category": "Clothing",
+        "Intensity": 91
+      },
+      {
+        "Date": "2016-03-23",
+        "Category": "Food",
+        "Intensity": 45
+      },
+      {
+        "Date": "2016-03-23",
+        "Category": "Books",
+        "Intensity": 65
+      },
+      {
+        "Date": "2016-03-23",
+        "Category": "Sports",
+        "Intensity": 24
+      },
+      {
+        "Date": "2016-04-05",
+        "Category": "Electronics",
+        "Intensity": 93
+      },
+      {
+        "Date": "2016-04-05",
+        "Category": "Clothing",
+        "Intensity": 24
+      },
+      {
+        "Date": "2016-04-05",
+        "Category": "Food",
+        "Intensity": 11
+      },
+      {
+        "Date": "2016-04-05",
+        "Category": "Books",
+        "Intensity": 20
+      },
+      {
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+        "Category": "Sports",
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+      },
+      {
+        "Date": "2016-04-19",
+        "Category": "Electronics",
+        "Intensity": 76
+      },
+      {
+        "Date": "2016-04-19",
+        "Category": "Clothing",
+        "Intensity": 32
+      },
+      {
+        "Date": "2016-04-19",
+        "Category": "Food",
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+      },
+      {
+        "Date": "2016-04-19",
+        "Category": "Books",
+        "Intensity": 26
+      },
+      {
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+        "Category": "Sports",
+        "Intensity": 83
+      },
+      {
+        "Date": "2016-05-03",
+        "Category": "Electronics",
+        "Intensity": 18
+      },
+      {
+        "Date": "2016-05-03",
+        "Category": "Clothing",
+        "Intensity": 11
+      },
+      {
+        "Date": "2016-05-03",
+        "Category": "Food",
+        "Intensity": 70
+      },
+      {
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+        "Category": "Books",
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+      },
+      {
+        "Date": "2016-05-03",
+        "Category": "Sports",
+        "Intensity": 5
+      },
+      {
+        "Date": "2016-05-16",
+        "Category": "Electronics",
+        "Intensity": 35
+      },
+      {
+        "Date": "2016-05-16",
+        "Category": "Clothing",
+        "Intensity": 61
+      },
+      {
+        "Date": "2016-05-16",
+        "Category": "Food",
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+      },
+      {
+        "Date": "2016-05-16",
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+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/heatmap/05-card5.flint.json b/test-harness/excel/evaluations/inputs/heatmap/05-card5.flint.json
new file mode 100644
index 00000000..24322504
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/heatmap/05-card5.flint.json
@@ -0,0 +1,2023 @@
+{
+  "semantic_types": {
+    "Product": "Product",
+    "Date": "Date",
+    "Score": "Score"
+  },
+  "chart_spec": {
+    "chartType": "Heatmap",
+    "encodings": {
+      "x": "Product",
+      "y": "Date",
+      "color": "Score"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Product": "Laptop",
+        "Date": "2016-01-01",
+        "Score": 39
+      },
+      {
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+        "Score": 41
+      },
+      {
+        "Product": "Laptop",
+        "Date": "2016-01-28",
+        "Score": 5
+      },
+      {
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+        "Date": "2016-02-11",
+        "Score": 47
+      },
+      {
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+        "Date": "2016-02-24",
+        "Score": 82
+      },
+      {
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+      {
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+        "Score": 24
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+        "Score": 7
+      },
+      {
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+      },
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+}
diff --git a/test-harness/excel/evaluations/inputs/heatmap/06-card60.flint.json b/test-harness/excel/evaluations/inputs/heatmap/06-card60.flint.json
new file mode 100644
index 00000000..a2a68837
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/heatmap/06-card60.flint.json
@@ -0,0 +1,12023 @@
+{
+  "semantic_types": {
+    "StartDate": "Date",
+    "EndDate": "Date",
+    "Correlation": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Heatmap",
+    "encodings": {
+      "x": "StartDate",
+      "y": "EndDate",
+      "color": "Correlation"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
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+}
diff --git a/test-harness/excel/evaluations/inputs/heatmap/07-card80.flint.json b/test-harness/excel/evaluations/inputs/heatmap/07-card80.flint.json
new file mode 100644
index 00000000..f6a56785
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/heatmap/07-card80.flint.json
@@ -0,0 +1,2023 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Group": "Category",
+    "Value": "Quantity"
+  },
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+    "encodings": {
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+      "y": "Group",
+      "color": "Value"
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+      },
+      {
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+        "Group": "Sports",
+        "Value": 2
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/heatmap/08-card5.flint.json b/test-harness/excel/evaluations/inputs/heatmap/08-card5.flint.json
new file mode 100644
index 00000000..a28d63dc
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/heatmap/08-card5.flint.json
@@ -0,0 +1,2023 @@
+{
+  "semantic_types": {
+    "Group": "Category",
+    "Category": "Category",
+    "Value": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Heatmap",
+    "encodings": {
+      "x": "Group",
+      "y": "Category",
+      "color": "Value"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
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+      },
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+      },
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+      },
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+      },
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+      },
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+      },
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+      },
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+      },
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+      },
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+      },
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+      },
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+      },
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+      },
+      {
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+        "Value": 25
+      },
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+      },
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+      },
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+        "Category": "C24",
+        "Value": 10
+      },
+      {
+        "Group": "Sports",
+        "Category": "C25",
+        "Value": 91
+      },
+      {
+        "Group": "Sports",
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+        "Value": 47
+      },
+      {
+        "Group": "Sports",
+        "Category": "C27",
+        "Value": 37
+      },
+      {
+        "Group": "Sports",
+        "Category": "C28",
+        "Value": 78
+      },
+      {
+        "Group": "Sports",
+        "Category": "C29",
+        "Value": 7
+      },
+      {
+        "Group": "Sports",
+        "Category": "C30",
+        "Value": 80
+      },
+      {
+        "Group": "Sports",
+        "Category": "C31",
+        "Value": 45
+      },
+      {
+        "Group": "Sports",
+        "Category": "C32",
+        "Value": 96
+      },
+      {
+        "Group": "Sports",
+        "Category": "C33",
+        "Value": 23
+      },
+      {
+        "Group": "Sports",
+        "Category": "C34",
+        "Value": 50
+      },
+      {
+        "Group": "Sports",
+        "Category": "C35",
+        "Value": 80
+      },
+      {
+        "Group": "Sports",
+        "Category": "C36",
+        "Value": 30
+      },
+      {
+        "Group": "Sports",
+        "Category": "C37",
+        "Value": 42
+      },
+      {
+        "Group": "Sports",
+        "Category": "C38",
+        "Value": 59
+      },
+      {
+        "Group": "Sports",
+        "Category": "C39",
+        "Value": 22
+      },
+      {
+        "Group": "Sports",
+        "Category": "C40",
+        "Value": 38
+      },
+      {
+        "Group": "Sports",
+        "Category": "C41",
+        "Value": 79
+      },
+      {
+        "Group": "Sports",
+        "Category": "C42",
+        "Value": 6
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+      {
+        "Group": "Sports",
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+        "Value": 79
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+      {
+        "Group": "Sports",
+        "Category": "C44",
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+      {
+        "Group": "Sports",
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+        "Value": 52
+      },
+      {
+        "Group": "Sports",
+        "Category": "C46",
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+      },
+      {
+        "Group": "Sports",
+        "Category": "C47",
+        "Value": 90
+      },
+      {
+        "Group": "Sports",
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+        "Value": 59
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+        "Group": "Sports",
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+        "Value": 45
+      },
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+        "Group": "Sports",
+        "Category": "C50",
+        "Value": 50
+      },
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+        "Group": "Sports",
+        "Category": "C51",
+        "Value": 97
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+      {
+        "Group": "Sports",
+        "Category": "C52",
+        "Value": 92
+      },
+      {
+        "Group": "Sports",
+        "Category": "C53",
+        "Value": 81
+      },
+      {
+        "Group": "Sports",
+        "Category": "C54",
+        "Value": 3
+      },
+      {
+        "Group": "Sports",
+        "Category": "C55",
+        "Value": 46
+      },
+      {
+        "Group": "Sports",
+        "Category": "C56",
+        "Value": 40
+      },
+      {
+        "Group": "Sports",
+        "Category": "C57",
+        "Value": 18
+      },
+      {
+        "Group": "Sports",
+        "Category": "C58",
+        "Value": 45
+      },
+      {
+        "Group": "Sports",
+        "Category": "C59",
+        "Value": 2
+      },
+      {
+        "Group": "Sports",
+        "Category": "C60",
+        "Value": 37
+      },
+      {
+        "Group": "Sports",
+        "Category": "C61",
+        "Value": 56
+      },
+      {
+        "Group": "Sports",
+        "Category": "C62",
+        "Value": 87
+      },
+      {
+        "Group": "Sports",
+        "Category": "C63",
+        "Value": 21
+      },
+      {
+        "Group": "Sports",
+        "Category": "C64",
+        "Value": 64
+      },
+      {
+        "Group": "Sports",
+        "Category": "C65",
+        "Value": 50
+      },
+      {
+        "Group": "Sports",
+        "Category": "C66",
+        "Value": 87
+      },
+      {
+        "Group": "Sports",
+        "Category": "C67",
+        "Value": 25
+      },
+      {
+        "Group": "Sports",
+        "Category": "C68",
+        "Value": 67
+      },
+      {
+        "Group": "Sports",
+        "Category": "C69",
+        "Value": 60
+      },
+      {
+        "Group": "Sports",
+        "Category": "C70",
+        "Value": 12
+      },
+      {
+        "Group": "Sports",
+        "Category": "C71",
+        "Value": 14
+      },
+      {
+        "Group": "Sports",
+        "Category": "C72",
+        "Value": 39
+      },
+      {
+        "Group": "Sports",
+        "Category": "C73",
+        "Value": 14
+      },
+      {
+        "Group": "Sports",
+        "Category": "C74",
+        "Value": 94
+      },
+      {
+        "Group": "Sports",
+        "Category": "C75",
+        "Value": 69
+      },
+      {
+        "Group": "Sports",
+        "Category": "C76",
+        "Value": 87
+      },
+      {
+        "Group": "Sports",
+        "Category": "C77",
+        "Value": 39
+      },
+      {
+        "Group": "Sports",
+        "Category": "C78",
+        "Value": 55
+      },
+      {
+        "Group": "Sports",
+        "Category": "C79",
+        "Value": 95
+      },
+      {
+        "Group": "Sports",
+        "Category": "C80",
+        "Value": 45
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/histogram/00-card49.flint.json b/test-harness/excel/evaluations/inputs/histogram/00-card49.flint.json
new file mode 100644
index 00000000..90f06ac9
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/histogram/00-card49.flint.json
@@ -0,0 +1,319 @@
+{
+  "semantic_types": {
+    "Value": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Histogram",
+    "encodings": {
+      "x": "Value"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Value": 12
+      },
+      {
+        "Value": 26
+      },
+      {
+        "Value": 23
+      },
+      {
+        "Value": 41
+      },
+      {
+        "Value": 59
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+      {
+        "Value": 52
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+        "Value": 60
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+        "Value": 65
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+        "Value": 66
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+        "Value": 48
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+      {
+        "Value": 50
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+        "Value": 57
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+      {
+        "Value": 52
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+        "Value": 41
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+        "Value": 30
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+        "Value": 72
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+        "Value": 53
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+        "Value": 45
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+        "Value": 17
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+        "Value": 63
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+        "Value": 19
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+        "Value": 38
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+        "Value": 63
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+        "Value": 75
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+        "Value": 68
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+        "Value": 59
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+        "Value": 42
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+        "Value": 61
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+        "Value": 42
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+        "Value": 30
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+        "Value": 37
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+        "Value": 78
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+        "Value": 59
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+    ]
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+}
diff --git a/test-harness/excel/evaluations/inputs/histogram/01-card42.flint.json b/test-harness/excel/evaluations/inputs/histogram/01-card42.flint.json
new file mode 100644
index 00000000..2015b206
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/histogram/01-card42.flint.json
@@ -0,0 +1,821 @@
+{
+  "semantic_types": {
+    "Height": "Quantity",
+    "Gender": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Histogram",
+    "encodings": {
+      "x": "Height",
+      "color": "Gender"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Height": 176,
+        "Gender": "Male"
+      },
+      {
+        "Height": 160,
+        "Gender": "Female"
+      },
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+        "Height": 169,
+        "Gender": "Male"
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+      {
+        "Height": 160,
+        "Gender": "Female"
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+        "Height": 161,
+        "Gender": "Male"
+      },
+      {
+        "Height": 155,
+        "Gender": "Female"
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+      {
+        "Height": 189,
+        "Gender": "Male"
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+      {
+        "Height": 160,
+        "Gender": "Female"
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+      {
+        "Height": 160,
+        "Gender": "Male"
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+        "Height": 155,
+        "Gender": "Female"
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+        "Gender": "Male"
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+        "Gender": "Female"
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+        "Height": 160,
+        "Gender": "Male"
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+        "Gender": "Female"
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+        "Gender": "Male"
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+        "Gender": "Female"
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+        "Height": 166,
+        "Gender": "Male"
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+        "Gender": "Female"
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+        "Height": 158,
+        "Gender": "Male"
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+        "Height": 168,
+        "Gender": "Female"
+      },
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+        "Height": 176,
+        "Gender": "Male"
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+        "Gender": "Female"
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+        "Height": 155,
+        "Gender": "Male"
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+        "Height": 153,
+        "Gender": "Female"
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+      {
+        "Height": 156,
+        "Gender": "Male"
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+        "Gender": "Female"
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+        "Gender": "Male"
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+        "Gender": "Female"
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+        "Gender": "Male"
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+        "Gender": "Female"
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+        "Gender": "Male"
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+        "Gender": "Female"
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+        "Gender": "Male"
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+        "Gender": "Female"
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+        "Gender": "Male"
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+        "Gender": "Female"
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+        "Gender": "Male"
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+        "Gender": "Female"
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+        "Height": 164,
+        "Gender": "Male"
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+        "Gender": "Female"
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+        "Gender": "Male"
+      },
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+        "Gender": "Female"
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+        "Gender": "Male"
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+        "Gender": "Male"
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+        "Gender": "Female"
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+        "Gender": "Male"
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+        "Gender": "Male"
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+        "Gender": "Male"
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+        "Gender": "Female"
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+        "Gender": "Male"
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+        "Gender": "Female"
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+        "Gender": "Male"
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+        "Gender": "Male"
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+        "Gender": "Female"
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+        "Gender": "Male"
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+        "Gender": "Female"
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+        "Gender": "Male"
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+        "Gender": "Female"
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+        "Gender": "Male"
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+        "Gender": "Female"
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+        "Gender": "Male"
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+        "Gender": "Female"
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+        "Gender": "Male"
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+        "Gender": "Female"
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+        "Gender": "Male"
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+        "Gender": "Female"
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+        "Gender": "Male"
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+        "Gender": "Female"
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+        "Gender": "Male"
+      },
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+        "Gender": "Female"
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+        "Gender": "Male"
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+        "Gender": "Female"
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+        "Gender": "Male"
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+        "Gender": "Female"
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+        "Gender": "Male"
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+        "Gender": "Female"
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+        "Gender": "Male"
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+        "Gender": "Female"
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+        "Gender": "Male"
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+        "Gender": "Female"
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+        "Gender": "Male"
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+        "Gender": "Male"
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+        "Gender": "Female"
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+        "Gender": "Male"
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+        "Gender": "Female"
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+        "Gender": "Male"
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+        "Gender": "Female"
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+        "Gender": "Male"
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+        "Gender": "Female"
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+        "Gender": "Male"
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+        "Gender": "Female"
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+        "Gender": "Female"
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+        "Gender": "Male"
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diff --git a/test-harness/excel/evaluations/inputs/histogram/02-card997.flint.json b/test-harness/excel/evaluations/inputs/histogram/02-card997.flint.json
new file mode 100644
index 00000000..1f1d92d6
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/histogram/02-card997.flint.json
@@ -0,0 +1,3019 @@
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new file mode 100644
index 00000000..d029f8ac
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/line-chart/00-card30.flint.json
@@ -0,0 +1,141 @@
+{
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diff --git a/test-harness/excel/evaluations/inputs/line-chart/01-card50.flint.json b/test-harness/excel/evaluations/inputs/line-chart/01-card50.flint.json
new file mode 100644
index 00000000..b88d0a4d
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/line-chart/01-card50.flint.json
@@ -0,0 +1,1023 @@
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+        "Date": "2022-02-27",
+        "Value": 251,
+        "Series": "Books"
+      },
+      {
+        "Date": "2022-03-21",
+        "Value": 263,
+        "Series": "Books"
+      },
+      {
+        "Date": "2022-04-12",
+        "Value": 266,
+        "Series": "Books"
+      },
+      {
+        "Date": "2022-05-04",
+        "Value": 262,
+        "Series": "Books"
+      },
+      {
+        "Date": "2022-05-26",
+        "Value": 257,
+        "Series": "Books"
+      },
+      {
+        "Date": "2022-06-16",
+        "Value": 255,
+        "Series": "Books"
+      },
+      {
+        "Date": "2022-07-08",
+        "Value": 250,
+        "Series": "Books"
+      },
+      {
+        "Date": "2022-07-30",
+        "Value": 250,
+        "Series": "Books"
+      },
+      {
+        "Date": "2022-08-21",
+        "Value": 257,
+        "Series": "Books"
+      },
+      {
+        "Date": "2022-09-12",
+        "Value": 262,
+        "Series": "Books"
+      },
+      {
+        "Date": "2022-10-04",
+        "Value": 259,
+        "Series": "Books"
+      },
+      {
+        "Date": "2022-10-26",
+        "Value": 255,
+        "Series": "Books"
+      },
+      {
+        "Date": "2022-11-17",
+        "Value": 252,
+        "Series": "Books"
+      },
+      {
+        "Date": "2022-12-09",
+        "Value": 246,
+        "Series": "Books"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/line-chart/02-card100.flint.json b/test-harness/excel/evaluations/inputs/line-chart/02-card100.flint.json
new file mode 100644
index 00000000..59ed80e7
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/line-chart/02-card100.flint.json
@@ -0,0 +1,4023 @@
+{
+  "semantic_types": {
+    "Date": "Date",
+    "Value": "Quantity",
+    "Series": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Line Chart",
+    "encodings": {
+      "x": "Date",
+      "y": "Value",
+      "color": "Series"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Date": "2020-01-01",
+        "Value": 173,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-01-11",
+        "Value": 175,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-01-22",
+        "Value": 175,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-02-02",
+        "Value": 181,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-02-13",
+        "Value": 193,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-02-24",
+        "Value": 208,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-03-06",
+        "Value": 219,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-03-17",
+        "Value": 236,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-03-28",
+        "Value": 240,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-04-08",
+        "Value": 251,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-04-19",
+        "Value": 258,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-04-30",
+        "Value": 256,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-05-11",
+        "Value": 251,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-05-22",
+        "Value": 253,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-06-02",
+        "Value": 252,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-06-13",
+        "Value": 252,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-06-24",
+        "Value": 242,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 233,
+        "Series": "Electronics"
+      },
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+        "Value": 227,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 225,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-08-07",
+        "Value": 224,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-08-17",
+        "Value": 220,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-08-28",
+        "Value": 210,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-09-08",
+        "Value": 210,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-09-19",
+        "Value": 207,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-09-30",
+        "Value": 200,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-10-11",
+        "Value": 199,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-10-22",
+        "Value": 190,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-11-02",
+        "Value": 182,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-11-13",
+        "Value": 181,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-11-24",
+        "Value": 176,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-12-05",
+        "Value": 166,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 161,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-12-27",
+        "Value": 154,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 145,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-01-18",
+        "Value": 139,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-01-29",
+        "Value": 143,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-02-09",
+        "Value": 146,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-02-20",
+        "Value": 144,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-03-03",
+        "Value": 141,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-03-14",
+        "Value": 132,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-03-24",
+        "Value": 122,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 114,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 105,
+        "Series": "Electronics"
+      },
+      {
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+        "Series": "Electronics"
+      },
+      {
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+        "Value": 95,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 87,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 90,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 91,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-06-20",
+        "Value": 98,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-07-01",
+        "Value": 110,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-07-12",
+        "Value": 126,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-07-23",
+        "Value": 139,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-08-03",
+        "Value": 141,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 133,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-08-25",
+        "Value": 130,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-09-05",
+        "Value": 133,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-09-16",
+        "Value": 131,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-09-27",
+        "Value": 123,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-10-08",
+        "Value": 127,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-10-19",
+        "Value": 133,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-10-29",
+        "Value": 143,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-11-09",
+        "Value": 152,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-11-20",
+        "Value": 166,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 180,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-12-12",
+        "Value": 195,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-12-23",
+        "Value": 210,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 212,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 220,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 234,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 238,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 236,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-02-27",
+        "Value": 243,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-03-10",
+        "Value": 247,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-03-21",
+        "Value": 251,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-04-01",
+        "Value": 257,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-04-12",
+        "Value": 258,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 265,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 275,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 288,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 304,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 305,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-06-16",
+        "Value": 300,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-06-27",
+        "Value": 289,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-07-08",
+        "Value": 291,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-07-19",
+        "Value": 284,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-07-30",
+        "Value": 277,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-08-10",
+        "Value": 274,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-08-21",
+        "Value": 266,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-09-01",
+        "Value": 253,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-09-12",
+        "Value": 243,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-09-23",
+        "Value": 243,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-10-04",
+        "Value": 250,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-10-15",
+        "Value": 255,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-10-26",
+        "Value": 255,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-11-06",
+        "Value": 248,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-11-17",
+        "Value": 249,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-11-28",
+        "Value": 242,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-12-09",
+        "Value": 238,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-12-20",
+        "Value": 239,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-01-01",
+        "Value": 165,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-01-11",
+        "Value": 178,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-01-22",
+        "Value": 182,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-02-02",
+        "Value": 168,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-02-13",
+        "Value": 168,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-02-24",
+        "Value": 162,
+        "Series": "Clothing"
+      },
+      {
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+        "Value": 145,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-03-17",
+        "Value": 132,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-03-28",
+        "Value": 136,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-04-08",
+        "Value": 136,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-04-19",
+        "Value": 120,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-04-30",
+        "Value": 126,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-05-11",
+        "Value": 121,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-05-22",
+        "Value": 109,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-06-02",
+        "Value": 113,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-06-13",
+        "Value": 100,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-06-24",
+        "Value": 87,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-07-05",
+        "Value": 93,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-07-16",
+        "Value": 87,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-07-27",
+        "Value": 66,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-08-07",
+        "Value": 43,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-08-17",
+        "Value": 9,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-08-28",
+        "Value": 0,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-09-08",
+        "Value": 0,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-09-19",
+        "Value": 11,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-09-30",
+        "Value": 20,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-10-11",
+        "Value": 37,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-10-22",
+        "Value": 56,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-11-02",
+        "Value": 77,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-11-13",
+        "Value": 110,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-11-24",
+        "Value": 116,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-12-05",
+        "Value": 102,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-12-16",
+        "Value": 88,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-12-27",
+        "Value": 75,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-01-07",
+        "Value": 64,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-01-18",
+        "Value": 47,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-01-29",
+        "Value": 25,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-02-09",
+        "Value": 8,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-02-20",
+        "Value": 0,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-03-03",
+        "Value": 0,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-03-14",
+        "Value": 12,
+        "Series": "Clothing"
+      },
+      {
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+        "Value": 18,
+        "Series": "Clothing"
+      },
+      {
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+        "Value": 4,
+        "Series": "Clothing"
+      },
+      {
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+        "Value": 11,
+        "Series": "Clothing"
+      },
+      {
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+        "Value": 12,
+        "Series": "Clothing"
+      },
+      {
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+        "Value": 21,
+        "Series": "Clothing"
+      },
+      {
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+        "Value": 20,
+        "Series": "Clothing"
+      },
+      {
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+        "Value": 27,
+        "Series": "Clothing"
+      },
+      {
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+        "Value": 34,
+        "Series": "Clothing"
+      },
+      {
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+        "Value": 36,
+        "Series": "Clothing"
+      },
+      {
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+        "Value": 55,
+        "Series": "Clothing"
+      },
+      {
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+        "Value": 82,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-07-23",
+        "Value": 119,
+        "Series": "Clothing"
+      },
+      {
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+        "Value": 156,
+        "Series": "Clothing"
+      },
+      {
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+        "Value": 163,
+        "Series": "Clothing"
+      },
+      {
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+        "Value": 182,
+        "Series": "Clothing"
+      },
+      {
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+        "Value": 207,
+        "Series": "Clothing"
+      },
+      {
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+        "Series": "Clothing"
+      },
+      {
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+        "Value": 245,
+        "Series": "Clothing"
+      },
+      {
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+        "Value": 234,
+        "Series": "Clothing"
+      },
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+        "Value": 681,
+        "Series": "Auto"
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+        "Value": 687,
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+        "Value": 797,
+        "Series": "Auto"
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+        "Value": 800,
+        "Series": "Auto"
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+        "Value": 798,
+        "Series": "Auto"
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+        "Value": 800,
+        "Series": "Auto"
+      },
+      {
+        "Date": "2022-10-26",
+        "Value": 806,
+        "Series": "Auto"
+      },
+      {
+        "Date": "2022-11-06",
+        "Value": 806,
+        "Series": "Auto"
+      },
+      {
+        "Date": "2022-11-17",
+        "Value": 809,
+        "Series": "Auto"
+      },
+      {
+        "Date": "2022-11-28",
+        "Value": 809,
+        "Series": "Auto"
+      },
+      {
+        "Date": "2022-12-09",
+        "Value": 814,
+        "Series": "Auto"
+      },
+      {
+        "Date": "2022-12-20",
+        "Value": 809,
+        "Series": "Auto"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/line-chart/03-card200.flint.json b/test-harness/excel/evaluations/inputs/line-chart/03-card200.flint.json
new file mode 100644
index 00000000..ce4f874e
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/line-chart/03-card200.flint.json
@@ -0,0 +1,20023 @@
+{
+  "semantic_types": {
+    "Date": "Date",
+    "Value": "Quantity",
+    "Series": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Line Chart",
+    "encodings": {
+      "x": "Date",
+      "y": "Value",
+      "color": "Series"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
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+        "Value": 229,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-01-06",
+        "Value": 229,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-01-11",
+        "Value": 226,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-01-17",
+        "Value": 225,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-01-22",
+        "Value": 229,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-01-28",
+        "Value": 228,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-02-02",
+        "Value": 225,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 227,
+        "Series": "Electronics"
+      },
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+        "Value": 226,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-02-19",
+        "Value": 225,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 221,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-03-01",
+        "Value": 218,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-03-06",
+        "Value": 213,
+        "Series": "Electronics"
+      },
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+        "Value": 204,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 201,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-03-23",
+        "Value": 194,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 187,
+        "Series": "Electronics"
+      },
+      {
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+        "Series": "Electronics"
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+        "Value": 180,
+        "Series": "Electronics"
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+        "Value": 175,
+        "Series": "Electronics"
+      },
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+        "Series": "Electronics"
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+        "Value": 165,
+        "Series": "Electronics"
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+        "Value": 164,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-05-05",
+        "Value": 158,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-05-11",
+        "Value": 158,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-05-16",
+        "Value": 156,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 155,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 149,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 149,
+        "Series": "Electronics"
+      },
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+        "Value": 151,
+        "Series": "Electronics"
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+        "Series": "Electronics"
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+        "Series": "Electronics"
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+        "Series": "Electronics"
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+        "Series": "Electronics"
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+        "Series": "Electronics"
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+        "Series": "Electronics"
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+        "Series": "Electronics"
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+        "Series": "Electronics"
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+        "Series": "Electronics"
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+        "Series": "Electronics"
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+        "Series": "Electronics"
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+        "Series": "Electronics"
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+        "Series": "Electronics"
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+        "Series": "Electronics"
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+        "Series": "Electronics"
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+        "Value": 209,
+        "Series": "Electronics"
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+        "Value": 216,
+        "Series": "Electronics"
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+        "Value": 223,
+        "Series": "Electronics"
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+      {
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+        "Value": 223,
+        "Series": "Electronics"
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+        "Series": "Electronics"
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+        "Series": "Electronics"
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+        "Value": 223,
+        "Series": "Electronics"
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+        "Value": 221,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 218,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 219,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-11-29",
+        "Value": 225,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-12-05",
+        "Value": 225,
+        "Series": "Electronics"
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+      {
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+        "Value": 229,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-12-16",
+        "Value": 229,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-12-21",
+        "Value": 225,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 220,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-01-01",
+        "Value": 220,
+        "Series": "Electronics"
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+      {
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+        "Series": "Electronics"
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+        "Series": "Electronics"
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+        "Series": "Electronics"
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+        "Value": 210,
+        "Series": "Electronics"
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+        "Series": "Electronics"
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+        "Series": "Electronics"
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+        "Value": 220,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 220,
+        "Series": "Electronics"
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+        "Value": 222,
+        "Series": "Electronics"
+      },
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+        "Value": 224,
+        "Series": "Electronics"
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+        "Value": 224,
+        "Series": "Electronics"
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+        "Series": "Electronics"
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+        "Value": 221,
+        "Series": "Electronics"
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+        "Series": "Electronics"
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+        "Value": 222,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 220,
+        "Series": "Electronics"
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+      {
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+        "Value": 223,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 225,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 230,
+        "Series": "Electronics"
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+      {
+        "Date": "2021-04-26",
+        "Value": 236,
+        "Series": "Electronics"
+      },
+      {
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+        "Value": 243,
+        "Series": "Electronics"
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+      {
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+        "Series": "Electronics"
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+      {
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+        "Value": 252,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-05-18",
+        "Value": 260,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-05-24",
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+        "Value": 133,
+        "Series": "Crafts"
+      },
+      {
+        "Date": "2022-08-21",
+        "Value": 133,
+        "Series": "Crafts"
+      },
+      {
+        "Date": "2022-08-27",
+        "Value": 126,
+        "Series": "Crafts"
+      },
+      {
+        "Date": "2022-09-01",
+        "Value": 124,
+        "Series": "Crafts"
+      },
+      {
+        "Date": "2022-09-07",
+        "Value": 115,
+        "Series": "Crafts"
+      },
+      {
+        "Date": "2022-09-12",
+        "Value": 114,
+        "Series": "Crafts"
+      },
+      {
+        "Date": "2022-09-17",
+        "Value": 109,
+        "Series": "Crafts"
+      },
+      {
+        "Date": "2022-09-23",
+        "Value": 108,
+        "Series": "Crafts"
+      },
+      {
+        "Date": "2022-09-28",
+        "Value": 111,
+        "Series": "Crafts"
+      },
+      {
+        "Date": "2022-10-04",
+        "Value": 121,
+        "Series": "Crafts"
+      },
+      {
+        "Date": "2022-10-09",
+        "Value": 130,
+        "Series": "Crafts"
+      },
+      {
+        "Date": "2022-10-15",
+        "Value": 140,
+        "Series": "Crafts"
+      },
+      {
+        "Date": "2022-10-20",
+        "Value": 147,
+        "Series": "Crafts"
+      },
+      {
+        "Date": "2022-10-26",
+        "Value": 159,
+        "Series": "Crafts"
+      },
+      {
+        "Date": "2022-10-31",
+        "Value": 167,
+        "Series": "Crafts"
+      },
+      {
+        "Date": "2022-11-06",
+        "Value": 179,
+        "Series": "Crafts"
+      },
+      {
+        "Date": "2022-11-11",
+        "Value": 196,
+        "Series": "Crafts"
+      },
+      {
+        "Date": "2022-11-17",
+        "Value": 211,
+        "Series": "Crafts"
+      },
+      {
+        "Date": "2022-11-22",
+        "Value": 223,
+        "Series": "Crafts"
+      },
+      {
+        "Date": "2022-11-28",
+        "Value": 232,
+        "Series": "Crafts"
+      },
+      {
+        "Date": "2022-12-03",
+        "Value": 233,
+        "Series": "Crafts"
+      },
+      {
+        "Date": "2022-12-09",
+        "Value": 236,
+        "Series": "Crafts"
+      },
+      {
+        "Date": "2022-12-14",
+        "Value": 238,
+        "Series": "Crafts"
+      },
+      {
+        "Date": "2022-12-20",
+        "Value": 248,
+        "Series": "Crafts"
+      },
+      {
+        "Date": "2022-12-25",
+        "Value": 255,
+        "Series": "Crafts"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/line-chart/04-card60.flint.json b/test-harness/excel/evaluations/inputs/line-chart/04-card60.flint.json
new file mode 100644
index 00000000..4b4d4c31
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/line-chart/04-card60.flint.json
@@ -0,0 +1,733 @@
+{
+  "semantic_types": {
+    "Date": "Date",
+    "Value": "Quantity",
+    "Series": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Line Chart",
+    "encodings": {
+      "x": "Date",
+      "y": "Value",
+      "color": "Series"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Date": "2020-01-01",
+        "Value": 69,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-01-19",
+        "Value": 67,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-02-06",
+        "Value": 62,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-02-24",
+        "Value": 56,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-03-14",
+        "Value": 47,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-05-26",
+        "Value": 21,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-07-01",
+        "Value": 17,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-08-07",
+        "Value": 17,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-08-25",
+        "Value": 16,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-09-12",
+        "Value": 17,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-09-30",
+        "Value": 16,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-10-19",
+        "Value": 20,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-11-06",
+        "Value": 17,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-11-24",
+        "Value": 22,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-12-12",
+        "Value": 19,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-12-31",
+        "Value": 15,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-01-18",
+        "Value": 19,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-02-05",
+        "Value": 25,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-02-23",
+        "Value": 35,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-04-01",
+        "Value": 50,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-04-19",
+        "Value": 57,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-05-26",
+        "Value": 71,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-06-13",
+        "Value": 72,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-07-01",
+        "Value": 74,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-07-19",
+        "Value": 79,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-08-07",
+        "Value": 90,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-08-25",
+        "Value": 98,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-09-12",
+        "Value": 98,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-09-30",
+        "Value": 100,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-10-19",
+        "Value": 105,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-11-06",
+        "Value": 106,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-12-12",
+        "Value": 97,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2021-12-31",
+        "Value": 92,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-01-18",
+        "Value": 85,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-02-05",
+        "Value": 86,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-02-23",
+        "Value": 85,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-04-19",
+        "Value": 95,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-05-07",
+        "Value": 92,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-06-13",
+        "Value": 82,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-07-01",
+        "Value": 80,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-07-19",
+        "Value": 85,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-08-07",
+        "Value": 93,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-08-25",
+        "Value": 99,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-09-12",
+        "Value": 104,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-09-30",
+        "Value": 103,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-10-19",
+        "Value": 102,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-11-24",
+        "Value": 87,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2022-12-12",
+        "Value": 82,
+        "Series": "Electronics"
+      },
+      {
+        "Date": "2020-01-01",
+        "Value": 174,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-01-19",
+        "Value": 181,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-02-06",
+        "Value": 180,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-02-24",
+        "Value": 179,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-03-14",
+        "Value": 170,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-04-01",
+        "Value": 163,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-04-19",
+        "Value": 164,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-05-07",
+        "Value": 161,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-06-13",
+        "Value": 153,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-07-01",
+        "Value": 142,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-08-07",
+        "Value": 122,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-08-25",
+        "Value": 125,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-10-19",
+        "Value": 149,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-11-06",
+        "Value": 161,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-11-24",
+        "Value": 178,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-12-31",
+        "Value": 192,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-01-18",
+        "Value": 195,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-03-14",
+        "Value": 177,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-04-01",
+        "Value": 169,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-04-19",
+        "Value": 172,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-05-07",
+        "Value": 176,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-05-26",
+        "Value": 181,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-06-13",
+        "Value": 182,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-07-19",
+        "Value": 192,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-08-07",
+        "Value": 189,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-08-25",
+        "Value": 181,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-09-12",
+        "Value": 176,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-09-30",
+        "Value": 180,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-10-19",
+        "Value": 183,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-11-06",
+        "Value": 191,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-11-24",
+        "Value": 196,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2021-12-31",
+        "Value": 207,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2022-01-18",
+        "Value": 200,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2022-02-05",
+        "Value": 199,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2022-03-14",
+        "Value": 185,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2022-04-01",
+        "Value": 177,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2022-04-19",
+        "Value": 167,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2022-05-07",
+        "Value": 152,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2022-05-26",
+        "Value": 149,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2022-06-13",
+        "Value": 145,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2022-07-01",
+        "Value": 141,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2022-07-19",
+        "Value": 135,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2022-09-12",
+        "Value": 145,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2022-09-30",
+        "Value": 148,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2022-12-12",
+        "Value": 168,
+        "Series": "Clothing"
+      },
+      {
+        "Date": "2020-01-01",
+        "Value": 187,
+        "Series": "Food"
+      },
+      {
+        "Date": "2020-01-19",
+        "Value": 182,
+        "Series": "Food"
+      },
+      {
+        "Date": "2020-02-24",
+        "Value": 157,
+        "Series": "Food"
+      },
+      {
+        "Date": "2020-03-14",
+        "Value": 147,
+        "Series": "Food"
+      },
+      {
+        "Date": "2020-04-01",
+        "Value": 151,
+        "Series": "Food"
+      },
+      {
+        "Date": "2020-04-19",
+        "Value": 158,
+        "Series": "Food"
+      },
+      {
+        "Date": "2020-06-13",
+        "Value": 177,
+        "Series": "Food"
+      },
+      {
+        "Date": "2020-07-01",
+        "Value": 181,
+        "Series": "Food"
+      },
+      {
+        "Date": "2020-07-19",
+        "Value": 182,
+        "Series": "Food"
+      },
+      {
+        "Date": "2020-08-07",
+        "Value": 190,
+        "Series": "Food"
+      },
+      {
+        "Date": "2020-08-25",
+        "Value": 199,
+        "Series": "Food"
+      },
+      {
+        "Date": "2020-09-12",
+        "Value": 201,
+        "Series": "Food"
+      },
+      {
+        "Date": "2020-09-30",
+        "Value": 212,
+        "Series": "Food"
+      },
+      {
+        "Date": "2020-10-19",
+        "Value": 227,
+        "Series": "Food"
+      },
+      {
+        "Date": "2020-11-06",
+        "Value": 232,
+        "Series": "Food"
+      },
+      {
+        "Date": "2020-12-12",
+        "Value": 249,
+        "Series": "Food"
+      },
+      {
+        "Date": "2020-12-31",
+        "Value": 258,
+        "Series": "Food"
+      },
+      {
+        "Date": "2021-01-18",
+        "Value": 260,
+        "Series": "Food"
+      },
+      {
+        "Date": "2021-03-14",
+        "Value": 289,
+        "Series": "Food"
+      },
+      {
+        "Date": "2021-04-01",
+        "Value": 286,
+        "Series": "Food"
+      },
+      {
+        "Date": "2021-04-19",
+        "Value": 292,
+        "Series": "Food"
+      },
+      {
+        "Date": "2021-05-07",
+        "Value": 299,
+        "Series": "Food"
+      },
+      {
+        "Date": "2021-05-26",
+        "Value": 304,
+        "Series": "Food"
+      },
+      {
+        "Date": "2021-06-13",
+        "Value": 312,
+        "Series": "Food"
+      },
+      {
+        "Date": "2021-07-01",
+        "Value": 328,
+        "Series": "Food"
+      },
+      {
+        "Date": "2021-07-19",
+        "Value": 349,
+        "Series": "Food"
+      },
+      {
+        "Date": "2021-08-07",
+        "Value": 362,
+        "Series": "Food"
+      },
+      {
+        "Date": "2021-08-25",
+        "Value": 364,
+        "Series": "Food"
+      },
+      {
+        "Date": "2021-09-12",
+        "Value": 364,
+        "Series": "Food"
+      },
+      {
+        "Date": "2021-09-30",
+        "Value": 355,
+        "Series": "Food"
+      },
+      {
+        "Date": "2021-10-19",
+        "Value": 343,
+        "Series": "Food"
+      },
+      {
+        "Date": "2021-11-06",
+        "Value": 336,
+        "Series": "Food"
+      },
+      {
+        "Date": "2021-12-12",
+        "Value": 351,
+        "Series": "Food"
+      },
+      {
+        "Date": "2022-01-18",
+        "Value": 351,
+        "Series": "Food"
+      },
+      {
+        "Date": "2022-02-05",
+        "Value": 343,
+        "Series": "Food"
+      },
+      {
+        "Date": "2022-02-23",
+        "Value": 327,
+        "Series": "Food"
+      },
+      {
+        "Date": "2022-03-14",
+        "Value": 309,
+        "Series": "Food"
+      },
+      {
+        "Date": "2022-04-01",
+        "Value": 294,
+        "Series": "Food"
+      },
+      {
+        "Date": "2022-05-07",
+        "Value": 261,
+        "Series": "Food"
+      },
+      {
+        "Date": "2022-05-26",
+        "Value": 237,
+        "Series": "Food"
+      },
+      {
+        "Date": "2022-06-13",
+        "Value": 214,
+        "Series": "Food"
+      },
+      {
+        "Date": "2022-07-01",
+        "Value": 194,
+        "Series": "Food"
+      },
+      {
+        "Date": "2022-07-19",
+        "Value": 173,
+        "Series": "Food"
+      },
+      {
+        "Date": "2022-08-07",
+        "Value": 158,
+        "Series": "Food"
+      },
+      {
+        "Date": "2022-08-25",
+        "Value": 154,
+        "Series": "Food"
+      },
+      {
+        "Date": "2022-09-30",
+        "Value": 160,
+        "Series": "Food"
+      },
+      {
+        "Date": "2022-10-19",
+        "Value": 171,
+        "Series": "Food"
+      },
+      {
+        "Date": "2022-11-06",
+        "Value": 170,
+        "Series": "Food"
+      },
+      {
+        "Date": "2022-12-12",
+        "Value": 176,
+        "Series": "Food"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/line-chart/05-card30.flint.json b/test-harness/excel/evaluations/inputs/line-chart/05-card30.flint.json
new file mode 100644
index 00000000..0852761d
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/line-chart/05-card30.flint.json
@@ -0,0 +1,173 @@
+{
+  "semantic_types": {
+    "Date": "Date",
+    "Value": "Quantity",
+    "ColorVal": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Line Chart",
+    "encodings": {
+      "x": "Date",
+      "y": "Value",
+      "color": "ColorVal"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Date": "2020-01-01",
+        "Value": 117,
+        "ColorVal": 2.4
+      },
+      {
+        "Date": "2020-02-06",
+        "Value": 109,
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+      {
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+        "Value": 113,
+        "ColorVal": 0.3
+      },
+      {
+        "Date": "2020-04-19",
+        "Value": 117,
+        "ColorVal": 4.2
+      },
+      {
+        "Date": "2020-05-26",
+        "Value": 112,
+        "ColorVal": 9.5
+      },
+      {
+        "Date": "2020-07-01",
+        "Value": 121,
+        "ColorVal": 2.5
+      },
+      {
+        "Date": "2020-08-07",
+        "Value": 134,
+        "ColorVal": 7.5
+      },
+      {
+        "Date": "2020-09-12",
+        "Value": 130,
+        "ColorVal": 2.7
+      },
+      {
+        "Date": "2020-10-19",
+        "Value": 136,
+        "ColorVal": 4.3
+      },
+      {
+        "Date": "2020-11-24",
+        "Value": 152,
+        "ColorVal": 6.4
+      },
+      {
+        "Date": "2020-12-31",
+        "Value": 158,
+        "ColorVal": 3.8
+      },
+      {
+        "Date": "2021-02-05",
+        "Value": 165,
+        "ColorVal": 2.5
+      },
+      {
+        "Date": "2021-03-14",
+        "Value": 164,
+        "ColorVal": 4.7
+      },
+      {
+        "Date": "2021-04-19",
+        "Value": 175,
+        "ColorVal": 9.1
+      },
+      {
+        "Date": "2021-05-26",
+        "Value": 173,
+        "ColorVal": 6
+      },
+      {
+        "Date": "2021-07-01",
+        "Value": 161,
+        "ColorVal": 4.8
+      },
+      {
+        "Date": "2021-08-07",
+        "Value": 167,
+        "ColorVal": 6.1
+      },
+      {
+        "Date": "2021-09-12",
+        "Value": 157,
+        "ColorVal": 1.4
+      },
+      {
+        "Date": "2021-10-19",
+        "Value": 151,
+        "ColorVal": 8.8
+      },
+      {
+        "Date": "2021-11-24",
+        "Value": 149,
+        "ColorVal": 7.3
+      },
+      {
+        "Date": "2021-12-31",
+        "Value": 159,
+        "ColorVal": 3.8
+      },
+      {
+        "Date": "2022-02-05",
+        "Value": 177,
+        "ColorVal": 3.1
+      },
+      {
+        "Date": "2022-03-14",
+        "Value": 195,
+        "ColorVal": 8.1
+      },
+      {
+        "Date": "2022-04-19",
+        "Value": 211,
+        "ColorVal": 5
+      },
+      {
+        "Date": "2022-05-26",
+        "Value": 220,
+        "ColorVal": 0.4
+      },
+      {
+        "Date": "2022-07-01",
+        "Value": 228,
+        "ColorVal": 6.3
+      },
+      {
+        "Date": "2022-08-07",
+        "Value": 229,
+        "ColorVal": 1.3
+      },
+      {
+        "Date": "2022-09-12",
+        "Value": 221,
+        "ColorVal": 8.4
+      },
+      {
+        "Date": "2022-10-19",
+        "Value": 206,
+        "ColorVal": 0.2
+      },
+      {
+        "Date": "2022-11-24",
+        "Value": 191,
+        "ColorVal": 7.6
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/line-chart/06-card5.flint.json b/test-harness/excel/evaluations/inputs/line-chart/06-card5.flint.json
new file mode 100644
index 00000000..fbf85b11
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/line-chart/06-card5.flint.json
@@ -0,0 +1,41 @@
+{
+  "semantic_types": {
+    "Stage": "Category",
+    "Value": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Line Chart",
+    "encodings": {
+      "x": "Stage",
+      "y": "Value"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Stage": "Stage 1",
+        "Value": 113
+      },
+      {
+        "Stage": "Stage 2",
+        "Value": 126
+      },
+      {
+        "Stage": "Stage 3",
+        "Value": 131
+      },
+      {
+        "Stage": "Stage 4",
+        "Value": 144
+      },
+      {
+        "Stage": "Stage 5",
+        "Value": 138
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/line-chart/07-card12.flint.json b/test-harness/excel/evaluations/inputs/line-chart/07-card12.flint.json
new file mode 100644
index 00000000..042e1a85
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/line-chart/07-card12.flint.json
@@ -0,0 +1,263 @@
+{
+  "semantic_types": {
+    "Stage": "Category",
+    "Value": "Quantity",
+    "Series": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Line Chart",
+    "encodings": {
+      "x": "Stage",
+      "y": "Value",
+      "color": "Series"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Stage": "Stage 1",
+        "Value": 240,
+        "Series": "Electronics"
+      },
+      {
+        "Stage": "Stage 2",
+        "Value": 240,
+        "Series": "Electronics"
+      },
+      {
+        "Stage": "Stage 3",
+        "Value": 245,
+        "Series": "Electronics"
+      },
+      {
+        "Stage": "Stage 4",
+        "Value": 242,
+        "Series": "Electronics"
+      },
+      {
+        "Stage": "Stage 5",
+        "Value": 250,
+        "Series": "Electronics"
+      },
+      {
+        "Stage": "Stage 6",
+        "Value": 265,
+        "Series": "Electronics"
+      },
+      {
+        "Stage": "Stage 7",
+        "Value": 280,
+        "Series": "Electronics"
+      },
+      {
+        "Stage": "Stage 8",
+        "Value": 285,
+        "Series": "Electronics"
+      },
+      {
+        "Stage": "Stage 9",
+        "Value": 293,
+        "Series": "Electronics"
+      },
+      {
+        "Stage": "Stage 10",
+        "Value": 297,
+        "Series": "Electronics"
+      },
+      {
+        "Stage": "Stage 11",
+        "Value": 294,
+        "Series": "Electronics"
+      },
+      {
+        "Stage": "Stage 12",
+        "Value": 286,
+        "Series": "Electronics"
+      },
+      {
+        "Stage": "Stage 1",
+        "Value": 107,
+        "Series": "Clothing"
+      },
+      {
+        "Stage": "Stage 2",
+        "Value": 108,
+        "Series": "Clothing"
+      },
+      {
+        "Stage": "Stage 3",
+        "Value": 112,
+        "Series": "Clothing"
+      },
+      {
+        "Stage": "Stage 4",
+        "Value": 113,
+        "Series": "Clothing"
+      },
+      {
+        "Stage": "Stage 5",
+        "Value": 119,
+        "Series": "Clothing"
+      },
+      {
+        "Stage": "Stage 6",
+        "Value": 119,
+        "Series": "Clothing"
+      },
+      {
+        "Stage": "Stage 7",
+        "Value": 117,
+        "Series": "Clothing"
+      },
+      {
+        "Stage": "Stage 8",
+        "Value": 114,
+        "Series": "Clothing"
+      },
+      {
+        "Stage": "Stage 9",
+        "Value": 113,
+        "Series": "Clothing"
+      },
+      {
+        "Stage": "Stage 10",
+        "Value": 113,
+        "Series": "Clothing"
+      },
+      {
+        "Stage": "Stage 11",
+        "Value": 114,
+        "Series": "Clothing"
+      },
+      {
+        "Stage": "Stage 12",
+        "Value": 111,
+        "Series": "Clothing"
+      },
+      {
+        "Stage": "Stage 1",
+        "Value": 244,
+        "Series": "Food"
+      },
+      {
+        "Stage": "Stage 2",
+        "Value": 258,
+        "Series": "Food"
+      },
+      {
+        "Stage": "Stage 3",
+        "Value": 267,
+        "Series": "Food"
+      },
+      {
+        "Stage": "Stage 4",
+        "Value": 280,
+        "Series": "Food"
+      },
+      {
+        "Stage": "Stage 5",
+        "Value": 284,
+        "Series": "Food"
+      },
+      {
+        "Stage": "Stage 6",
+        "Value": 274,
+        "Series": "Food"
+      },
+      {
+        "Stage": "Stage 7",
+        "Value": 282,
+        "Series": "Food"
+      },
+      {
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+        "Value": 287,
+        "Series": "Food"
+      },
+      {
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+        "Value": 297,
+        "Series": "Food"
+      },
+      {
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+        "Series": "Food"
+      },
+      {
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+        "Value": 282,
+        "Series": "Food"
+      },
+      {
+        "Stage": "Stage 12",
+        "Value": 268,
+        "Series": "Food"
+      },
+      {
+        "Stage": "Stage 1",
+        "Value": 93,
+        "Series": "Books"
+      },
+      {
+        "Stage": "Stage 2",
+        "Value": 80,
+        "Series": "Books"
+      },
+      {
+        "Stage": "Stage 3",
+        "Value": 69,
+        "Series": "Books"
+      },
+      {
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+        "Value": 59,
+        "Series": "Books"
+      },
+      {
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+        "Value": 52,
+        "Series": "Books"
+      },
+      {
+        "Stage": "Stage 6",
+        "Value": 52,
+        "Series": "Books"
+      },
+      {
+        "Stage": "Stage 7",
+        "Value": 42,
+        "Series": "Books"
+      },
+      {
+        "Stage": "Stage 8",
+        "Value": 25,
+        "Series": "Books"
+      },
+      {
+        "Stage": "Stage 9",
+        "Value": 21,
+        "Series": "Books"
+      },
+      {
+        "Stage": "Stage 10",
+        "Value": 16,
+        "Series": "Books"
+      },
+      {
+        "Stage": "Stage 11",
+        "Value": 22,
+        "Series": "Books"
+      },
+      {
+        "Stage": "Stage 12",
+        "Value": 36,
+        "Series": "Books"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/line-chart/08-card30.flint.json b/test-harness/excel/evaluations/inputs/line-chart/08-card30.flint.json
new file mode 100644
index 00000000..2dbe044e
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/line-chart/08-card30.flint.json
@@ -0,0 +1,141 @@
+{
+  "semantic_types": {
+    "Stage": "Category",
+    "Value": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Line Chart",
+    "encodings": {
+      "x": "Stage",
+      "y": "Value"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Stage": "Stage 1",
+        "Value": 160
+      },
+      {
+        "Stage": "Stage 2",
+        "Value": 158
+      },
+      {
+        "Stage": "Stage 3",
+        "Value": 157
+      },
+      {
+        "Stage": "Stage 4",
+        "Value": 159
+      },
+      {
+        "Stage": "Stage 5",
+        "Value": 158
+      },
+      {
+        "Stage": "Stage 6",
+        "Value": 159
+      },
+      {
+        "Stage": "Stage 7",
+        "Value": 163
+      },
+      {
+        "Stage": "Stage 8",
+        "Value": 168
+      },
+      {
+        "Stage": "Stage 9",
+        "Value": 169
+      },
+      {
+        "Stage": "Stage 10",
+        "Value": 168
+      },
+      {
+        "Stage": "Stage 11",
+        "Value": 170
+      },
+      {
+        "Stage": "Stage 12",
+        "Value": 171
+      },
+      {
+        "Stage": "Stage 13",
+        "Value": 173
+      },
+      {
+        "Stage": "Stage 14",
+        "Value": 174
+      },
+      {
+        "Stage": "Stage 15",
+        "Value": 177
+      },
+      {
+        "Stage": "Stage 16",
+        "Value": 181
+      },
+      {
+        "Stage": "Stage 17",
+        "Value": 184
+      },
+      {
+        "Stage": "Stage 18",
+        "Value": 188
+      },
+      {
+        "Stage": "Stage 19",
+        "Value": 195
+      },
+      {
+        "Stage": "Stage 20",
+        "Value": 205
+      },
+      {
+        "Stage": "Stage 21",
+        "Value": 217
+      },
+      {
+        "Stage": "Stage 22",
+        "Value": 228
+      },
+      {
+        "Stage": "Stage 23",
+        "Value": 240
+      },
+      {
+        "Stage": "Stage 24",
+        "Value": 253
+      },
+      {
+        "Stage": "Stage 25",
+        "Value": 261
+      },
+      {
+        "Stage": "Stage 26",
+        "Value": 268
+      },
+      {
+        "Stage": "Stage 27",
+        "Value": 273
+      },
+      {
+        "Stage": "Stage 28",
+        "Value": 279
+      },
+      {
+        "Stage": "Stage 29",
+        "Value": 279
+      },
+      {
+        "Stage": "Stage 30",
+        "Value": 281
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/line-chart/09-card5.flint.json b/test-harness/excel/evaluations/inputs/line-chart/09-card5.flint.json
new file mode 100644
index 00000000..a79a3388
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/line-chart/09-card5.flint.json
@@ -0,0 +1,48 @@
+{
+  "semantic_types": {
+    "Stage": "Category",
+    "Value": "Quantity",
+    "ColorVal": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Line Chart",
+    "encodings": {
+      "x": "Stage",
+      "y": "Value",
+      "color": "ColorVal"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Stage": "Stage 1",
+        "Value": 155,
+        "ColorVal": 9
+      },
+      {
+        "Stage": "Stage 2",
+        "Value": 150,
+        "ColorVal": 3.1
+      },
+      {
+        "Stage": "Stage 3",
+        "Value": 143,
+        "ColorVal": 0.1
+      },
+      {
+        "Stage": "Stage 4",
+        "Value": 136,
+        "ColorVal": 10
+      },
+      {
+        "Stage": "Stage 5",
+        "Value": 137,
+        "ColorVal": 6.2
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/line-chart/10-card5.flint.json b/test-harness/excel/evaluations/inputs/line-chart/10-card5.flint.json
new file mode 100644
index 00000000..d7f2fd8a
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/line-chart/10-card5.flint.json
@@ -0,0 +1,41 @@
+{
+  "semantic_types": {
+    "X": "Quantity",
+    "Step": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Line Chart",
+    "encodings": {
+      "x": "X",
+      "y": "Step"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "X": 0,
+        "Step": "Stage 1"
+      },
+      {
+        "X": 25,
+        "Step": "Stage 2"
+      },
+      {
+        "X": 50,
+        "Step": "Stage 3"
+      },
+      {
+        "X": 75,
+        "Step": "Stage 4"
+      },
+      {
+        "X": 100,
+        "Step": "Stage 5"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/line-chart/11-card12.flint.json b/test-harness/excel/evaluations/inputs/line-chart/11-card12.flint.json
new file mode 100644
index 00000000..325b2500
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/line-chart/11-card12.flint.json
@@ -0,0 +1,263 @@
+{
+  "semantic_types": {
+    "X": "Quantity",
+    "Step": "Category",
+    "Series": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Line Chart",
+    "encodings": {
+      "x": "X",
+      "y": "Step",
+      "color": "Series"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "X": 0,
+        "Step": "Stage 1",
+        "Series": "Electronics"
+      },
+      {
+        "X": 9.1,
+        "Step": "Stage 2",
+        "Series": "Electronics"
+      },
+      {
+        "X": 18.2,
+        "Step": "Stage 3",
+        "Series": "Electronics"
+      },
+      {
+        "X": 27.3,
+        "Step": "Stage 4",
+        "Series": "Electronics"
+      },
+      {
+        "X": 36.4,
+        "Step": "Stage 5",
+        "Series": "Electronics"
+      },
+      {
+        "X": 45.5,
+        "Step": "Stage 6",
+        "Series": "Electronics"
+      },
+      {
+        "X": 54.5,
+        "Step": "Stage 7",
+        "Series": "Electronics"
+      },
+      {
+        "X": 63.6,
+        "Step": "Stage 8",
+        "Series": "Electronics"
+      },
+      {
+        "X": 72.7,
+        "Step": "Stage 9",
+        "Series": "Electronics"
+      },
+      {
+        "X": 81.8,
+        "Step": "Stage 10",
+        "Series": "Electronics"
+      },
+      {
+        "X": 90.9,
+        "Step": "Stage 11",
+        "Series": "Electronics"
+      },
+      {
+        "X": 100,
+        "Step": "Stage 12",
+        "Series": "Electronics"
+      },
+      {
+        "X": 0,
+        "Step": "Stage 1",
+        "Series": "Clothing"
+      },
+      {
+        "X": 9.1,
+        "Step": "Stage 2",
+        "Series": "Clothing"
+      },
+      {
+        "X": 18.2,
+        "Step": "Stage 3",
+        "Series": "Clothing"
+      },
+      {
+        "X": 27.3,
+        "Step": "Stage 4",
+        "Series": "Clothing"
+      },
+      {
+        "X": 36.4,
+        "Step": "Stage 5",
+        "Series": "Clothing"
+      },
+      {
+        "X": 45.5,
+        "Step": "Stage 6",
+        "Series": "Clothing"
+      },
+      {
+        "X": 54.5,
+        "Step": "Stage 7",
+        "Series": "Clothing"
+      },
+      {
+        "X": 63.6,
+        "Step": "Stage 8",
+        "Series": "Clothing"
+      },
+      {
+        "X": 72.7,
+        "Step": "Stage 9",
+        "Series": "Clothing"
+      },
+      {
+        "X": 81.8,
+        "Step": "Stage 10",
+        "Series": "Clothing"
+      },
+      {
+        "X": 90.9,
+        "Step": "Stage 11",
+        "Series": "Clothing"
+      },
+      {
+        "X": 100,
+        "Step": "Stage 12",
+        "Series": "Clothing"
+      },
+      {
+        "X": 0,
+        "Step": "Stage 1",
+        "Series": "Food"
+      },
+      {
+        "X": 9.1,
+        "Step": "Stage 2",
+        "Series": "Food"
+      },
+      {
+        "X": 18.2,
+        "Step": "Stage 3",
+        "Series": "Food"
+      },
+      {
+        "X": 27.3,
+        "Step": "Stage 4",
+        "Series": "Food"
+      },
+      {
+        "X": 36.4,
+        "Step": "Stage 5",
+        "Series": "Food"
+      },
+      {
+        "X": 45.5,
+        "Step": "Stage 6",
+        "Series": "Food"
+      },
+      {
+        "X": 54.5,
+        "Step": "Stage 7",
+        "Series": "Food"
+      },
+      {
+        "X": 63.6,
+        "Step": "Stage 8",
+        "Series": "Food"
+      },
+      {
+        "X": 72.7,
+        "Step": "Stage 9",
+        "Series": "Food"
+      },
+      {
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+        "Step": "Stage 10",
+        "Series": "Food"
+      },
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+        "Step": "Stage 11",
+        "Series": "Food"
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+        "Step": "Stage 12",
+        "Series": "Food"
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+        "Step": "Stage 1",
+        "Series": "Books"
+      },
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+        "Step": "Stage 2",
+        "Series": "Books"
+      },
+      {
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+        "Step": "Stage 3",
+        "Series": "Books"
+      },
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+        "X": 27.3,
+        "Step": "Stage 4",
+        "Series": "Books"
+      },
+      {
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+        "Step": "Stage 5",
+        "Series": "Books"
+      },
+      {
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+        "Step": "Stage 6",
+        "Series": "Books"
+      },
+      {
+        "X": 54.5,
+        "Step": "Stage 7",
+        "Series": "Books"
+      },
+      {
+        "X": 63.6,
+        "Step": "Stage 8",
+        "Series": "Books"
+      },
+      {
+        "X": 72.7,
+        "Step": "Stage 9",
+        "Series": "Books"
+      },
+      {
+        "X": 81.8,
+        "Step": "Stage 10",
+        "Series": "Books"
+      },
+      {
+        "X": 90.9,
+        "Step": "Stage 11",
+        "Series": "Books"
+      },
+      {
+        "X": 100,
+        "Step": "Stage 12",
+        "Series": "Books"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/line-chart/12-card30.flint.json b/test-harness/excel/evaluations/inputs/line-chart/12-card30.flint.json
new file mode 100644
index 00000000..242ff18d
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/line-chart/12-card30.flint.json
@@ -0,0 +1,141 @@
+{
+  "semantic_types": {
+    "X": "Quantity",
+    "Step": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Line Chart",
+    "encodings": {
+      "x": "X",
+      "y": "Step"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "X": 0,
+        "Step": "Stage 1"
+      },
+      {
+        "X": 3.4,
+        "Step": "Stage 2"
+      },
+      {
+        "X": 6.9,
+        "Step": "Stage 3"
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+      {
+        "X": 10.3,
+        "Step": "Stage 4"
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+        "Step": "Stage 5"
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+        "X": 17.2,
+        "Step": "Stage 6"
+      },
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+        "Step": "Stage 7"
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+        "Step": "Stage 8"
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+        "Step": "Stage 9"
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+        "Step": "Stage 17"
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+        "Step": "Stage 18"
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+        "Step": "Stage 21"
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+        "Step": "Stage 22"
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+        "Step": "Stage 23"
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+        "Step": "Stage 24"
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+        "Step": "Stage 25"
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+        "Step": "Stage 26"
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+        "Step": "Stage 28"
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+        "Step": "Stage 29"
+      },
+      {
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+        "Step": "Stage 30"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/line-chart/13-card30.flint.json b/test-harness/excel/evaluations/inputs/line-chart/13-card30.flint.json
new file mode 100644
index 00000000..8d2d955b
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/line-chart/13-card30.flint.json
@@ -0,0 +1,141 @@
+{
+  "semantic_types": {
+    "X": "Quantity",
+    "Value": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Line Chart",
+    "encodings": {
+      "x": "X",
+      "y": "Value"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
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+        "Value": 100
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+        "Value": 102
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+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/line-chart/14-card50.flint.json b/test-harness/excel/evaluations/inputs/line-chart/14-card50.flint.json
new file mode 100644
index 00000000..652b0e65
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/line-chart/14-card50.flint.json
@@ -0,0 +1,773 @@
+{
+  "semantic_types": {
+    "X": "Quantity",
+    "Value": "Quantity",
+    "Series": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Line Chart",
+    "encodings": {
+      "x": "X",
+      "y": "Value",
+      "color": "Series"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
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+        "Series": "Electronics"
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+        "Series": "Electronics"
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diff --git a/test-harness/excel/evaluations/inputs/line-chart/15-card200.flint.json b/test-harness/excel/evaluations/inputs/line-chart/15-card200.flint.json
new file mode 100644
index 00000000..b74db5fe
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/line-chart/15-card200.flint.json
@@ -0,0 +1,821 @@
+{
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+    "X": "Quantity",
+    "Value": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Line Chart",
+    "encodings": {
+      "x": "X",
+      "y": "Value"
+    },
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+      "height": 360
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+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/line-chart/16-card16.flint.json b/test-harness/excel/evaluations/inputs/line-chart/16-card16.flint.json
new file mode 100644
index 00000000..4a960e80
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/line-chart/16-card16.flint.json
@@ -0,0 +1,108 @@
+{
+  "semantic_types": {
+    "Date": "Date",
+    "Revenue": "Quantity",
+    "Type": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Line Chart",
+    "encodings": {
+      "x": "Date",
+      "y": "Revenue",
+      "strokeDash": "Type"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Date": "2024-01-01",
+        "Revenue": 94,
+        "Type": "actual"
+      },
+      {
+        "Date": "2024-03-09",
+        "Revenue": 89,
+        "Type": "actual"
+      },
+      {
+        "Date": "2024-05-16",
+        "Revenue": 97,
+        "Type": "actual"
+      },
+      {
+        "Date": "2024-07-24",
+        "Revenue": 92,
+        "Type": "actual"
+      },
+      {
+        "Date": "2024-09-30",
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+        "Type": "actual"
+      },
+      {
+        "Date": "2024-12-08",
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+        "Type": "actual"
+      },
+      {
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+        "Type": "actual"
+      },
+      {
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+        "Type": "actual"
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+        "Type": "actual"
+      },
+      {
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+        "Type": "actual"
+      },
+      {
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+        "Type": "actual"
+      },
+      {
+        "Date": "2026-01-22",
+        "Revenue": 107,
+        "Type": "actual"
+      },
+      {
+        "Date": "2026-01-22",
+        "Revenue": 107,
+        "Type": "forecast"
+      },
+      {
+        "Date": "2026-04-01",
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+        "Type": "forecast"
+      },
+      {
+        "Date": "2026-06-08",
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+        "Type": "forecast"
+      },
+      {
+        "Date": "2026-08-16",
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+        "Type": "forecast"
+      },
+      {
+        "Date": "2026-10-23",
+        "Revenue": 143,
+        "Type": "forecast"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/line-chart/17-card13.flint.json b/test-harness/excel/evaluations/inputs/line-chart/17-card13.flint.json
new file mode 100644
index 00000000..4ff315e8
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/line-chart/17-card13.flint.json
@@ -0,0 +1,277 @@
+{
+  "semantic_types": {
+    "Date": "Date",
+    "Sales": "Quantity",
+    "Product": "Category",
+    "Type": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Line Chart",
+    "encodings": {
+      "x": "Date",
+      "y": "Sales",
+      "color": "Product",
+      "strokeDash": "Type"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Date": "2024-01-01",
+        "Sales": 129,
+        "Product": "Widget A",
+        "Type": "actual"
+      },
+      {
+        "Date": "2024-03-25",
+        "Sales": 133,
+        "Product": "Widget A",
+        "Type": "actual"
+      },
+      {
+        "Date": "2024-06-17",
+        "Sales": 131,
+        "Product": "Widget A",
+        "Type": "actual"
+      },
+      {
+        "Date": "2024-09-09",
+        "Sales": 134,
+        "Product": "Widget A",
+        "Type": "actual"
+      },
+      {
+        "Date": "2024-12-02",
+        "Sales": 132,
+        "Product": "Widget A",
+        "Type": "actual"
+      },
+      {
+        "Date": "2025-02-25",
+        "Sales": 130,
+        "Product": "Widget A",
+        "Type": "actual"
+      },
+      {
+        "Date": "2025-05-20",
+        "Sales": 129,
+        "Product": "Widget A",
+        "Type": "actual"
+      },
+      {
+        "Date": "2025-08-12",
+        "Sales": 133,
+        "Product": "Widget A",
+        "Type": "actual"
+      },
+      {
+        "Date": "2025-11-04",
+        "Sales": 132,
+        "Product": "Widget A",
+        "Type": "actual"
+      },
+      {
+        "Date": "2026-01-28",
+        "Sales": 135,
+        "Product": "Widget A",
+        "Type": "actual"
+      },
+      {
+        "Date": "2026-01-28",
+        "Sales": 135,
+        "Product": "Widget A",
+        "Type": "forecast"
+      },
+      {
+        "Date": "2026-04-22",
+        "Sales": 139,
+        "Product": "Widget A",
+        "Type": "forecast"
+      },
+      {
+        "Date": "2026-07-15",
+        "Sales": 149,
+        "Product": "Widget A",
+        "Type": "forecast"
+      },
+      {
+        "Date": "2026-10-07",
+        "Sales": 153,
+        "Product": "Widget A",
+        "Type": "forecast"
+      },
+      {
+        "Date": "2024-01-01",
+        "Sales": 100,
+        "Product": "Widget B",
+        "Type": "actual"
+      },
+      {
+        "Date": "2024-03-25",
+        "Sales": 97,
+        "Product": "Widget B",
+        "Type": "actual"
+      },
+      {
+        "Date": "2024-06-17",
+        "Sales": 102,
+        "Product": "Widget B",
+        "Type": "actual"
+      },
+      {
+        "Date": "2024-09-09",
+        "Sales": 108,
+        "Product": "Widget B",
+        "Type": "actual"
+      },
+      {
+        "Date": "2024-12-02",
+        "Sales": 109,
+        "Product": "Widget B",
+        "Type": "actual"
+      },
+      {
+        "Date": "2025-02-25",
+        "Sales": 113,
+        "Product": "Widget B",
+        "Type": "actual"
+      },
+      {
+        "Date": "2025-05-20",
+        "Sales": 118,
+        "Product": "Widget B",
+        "Type": "actual"
+      },
+      {
+        "Date": "2025-08-12",
+        "Sales": 126,
+        "Product": "Widget B",
+        "Type": "actual"
+      },
+      {
+        "Date": "2025-11-04",
+        "Sales": 131,
+        "Product": "Widget B",
+        "Type": "actual"
+      },
+      {
+        "Date": "2026-01-28",
+        "Sales": 137,
+        "Product": "Widget B",
+        "Type": "actual"
+      },
+      {
+        "Date": "2026-01-28",
+        "Sales": 137,
+        "Product": "Widget B",
+        "Type": "forecast"
+      },
+      {
+        "Date": "2026-04-22",
+        "Sales": 142,
+        "Product": "Widget B",
+        "Type": "forecast"
+      },
+      {
+        "Date": "2026-07-15",
+        "Sales": 145,
+        "Product": "Widget B",
+        "Type": "forecast"
+      },
+      {
+        "Date": "2026-10-07",
+        "Sales": 156,
+        "Product": "Widget B",
+        "Type": "forecast"
+      },
+      {
+        "Date": "2024-01-01",
+        "Sales": 68,
+        "Product": "Widget C",
+        "Type": "actual"
+      },
+      {
+        "Date": "2024-03-25",
+        "Sales": 68,
+        "Product": "Widget C",
+        "Type": "actual"
+      },
+      {
+        "Date": "2024-06-17",
+        "Sales": 69,
+        "Product": "Widget C",
+        "Type": "actual"
+      },
+      {
+        "Date": "2024-09-09",
+        "Sales": 69,
+        "Product": "Widget C",
+        "Type": "actual"
+      },
+      {
+        "Date": "2024-12-02",
+        "Sales": 69,
+        "Product": "Widget C",
+        "Type": "actual"
+      },
+      {
+        "Date": "2025-02-25",
+        "Sales": 69,
+        "Product": "Widget C",
+        "Type": "actual"
+      },
+      {
+        "Date": "2025-05-20",
+        "Sales": 69,
+        "Product": "Widget C",
+        "Type": "actual"
+      },
+      {
+        "Date": "2025-08-12",
+        "Sales": 70,
+        "Product": "Widget C",
+        "Type": "actual"
+      },
+      {
+        "Date": "2025-11-04",
+        "Sales": 71,
+        "Product": "Widget C",
+        "Type": "actual"
+      },
+      {
+        "Date": "2026-01-28",
+        "Sales": 70,
+        "Product": "Widget C",
+        "Type": "actual"
+      },
+      {
+        "Date": "2026-01-28",
+        "Sales": 70,
+        "Product": "Widget C",
+        "Type": "forecast"
+      },
+      {
+        "Date": "2026-04-22",
+        "Sales": 76,
+        "Product": "Widget C",
+        "Type": "forecast"
+      },
+      {
+        "Date": "2026-07-15",
+        "Sales": 82,
+        "Product": "Widget C",
+        "Type": "forecast"
+      },
+      {
+        "Date": "2026-10-07",
+        "Sales": 87,
+        "Product": "Widget C",
+        "Type": "forecast"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/pie-chart/00-card0.flint.json b/test-harness/excel/evaluations/inputs/pie-chart/00-card0.flint.json
new file mode 100644
index 00000000..e222d764
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/pie-chart/00-card0.flint.json
@@ -0,0 +1,37 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Value": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Pie Chart",
+    "encodings": {
+      "size": "Value",
+      "color": "Category"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Category": "Electronics",
+        "Value": 103
+      },
+      {
+        "Category": "Clothing",
+        "Value": 215
+      },
+      {
+        "Category": "Food",
+        "Value": 342
+      },
+      {
+        "Category": "Books",
+        "Value": 560
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/pie-chart/01-card0.flint.json b/test-harness/excel/evaluations/inputs/pie-chart/01-card0.flint.json
new file mode 100644
index 00000000..ea0b281c
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/pie-chart/01-card0.flint.json
@@ -0,0 +1,61 @@
+{
+  "semantic_types": {
+    "Product": "Product",
+    "Revenue": "Amount"
+  },
+  "chart_spec": {
+    "chartType": "Pie Chart",
+    "encodings": {
+      "size": "Revenue",
+      "color": "Product"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Product": "Laptop",
+        "Revenue": 2924
+      },
+      {
+        "Product": "Phone",
+        "Revenue": 2506
+      },
+      {
+        "Product": "Tablet",
+        "Revenue": 6721
+      },
+      {
+        "Product": "Desktop",
+        "Revenue": 1826
+      },
+      {
+        "Product": "Monitor",
+        "Revenue": 4934
+      },
+      {
+        "Product": "Keyboard",
+        "Revenue": 7789
+      },
+      {
+        "Product": "Mouse",
+        "Revenue": 8215
+      },
+      {
+        "Product": "Headphones",
+        "Revenue": 5798
+      },
+      {
+        "Product": "Speaker",
+        "Revenue": 7950
+      },
+      {
+        "Product": "Camera",
+        "Revenue": 6919
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/pie-chart/02-card0.flint.json b/test-harness/excel/evaluations/inputs/pie-chart/02-card0.flint.json
new file mode 100644
index 00000000..552d5daf
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/pie-chart/02-card0.flint.json
@@ -0,0 +1,101 @@
+{
+  "semantic_types": {
+    "Region": "Category",
+    "Sales": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Pie Chart",
+    "encodings": {
+      "size": "Sales",
+      "color": "Region"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Region": "Electronics",
+        "Sales": 4347
+      },
+      {
+        "Region": "Clothing",
+        "Sales": 4301
+      },
+      {
+        "Region": "Food",
+        "Sales": 5098
+      },
+      {
+        "Region": "Books",
+        "Sales": 1293
+      },
+      {
+        "Region": "Sports",
+        "Sales": 4163
+      },
+      {
+        "Region": "Home",
+        "Sales": 2869
+      },
+      {
+        "Region": "Garden",
+        "Sales": 5444
+      },
+      {
+        "Region": "Auto",
+        "Sales": 2591
+      },
+      {
+        "Region": "Health",
+        "Sales": 1407
+      },
+      {
+        "Region": "Beauty",
+        "Sales": 2246
+      },
+      {
+        "Region": "Toys",
+        "Sales": 5168
+      },
+      {
+        "Region": "Music",
+        "Sales": 3215
+      },
+      {
+        "Region": "Movies",
+        "Sales": 3360
+      },
+      {
+        "Region": "Software",
+        "Sales": 1176
+      },
+      {
+        "Region": "Games",
+        "Sales": 4497
+      },
+      {
+        "Region": "Office",
+        "Sales": 5262
+      },
+      {
+        "Region": "Pet",
+        "Sales": 1783
+      },
+      {
+        "Region": "Baby",
+        "Sales": 4292
+      },
+      {
+        "Region": "Tools",
+        "Sales": 5312
+      },
+      {
+        "Region": "Crafts",
+        "Sales": 5358
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/pie-chart/03-card0.flint.json b/test-harness/excel/evaluations/inputs/pie-chart/03-card0.flint.json
new file mode 100644
index 00000000..135404a9
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/pie-chart/03-card0.flint.json
@@ -0,0 +1,45 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Value": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Pie Chart",
+    "encodings": {
+      "size": "Value",
+      "color": "Category"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Category": "Dominant",
+        "Value": 5000
+      },
+      {
+        "Category": "Small-A",
+        "Value": 200
+      },
+      {
+        "Category": "Small-B",
+        "Value": 180
+      },
+      {
+        "Category": "Small-C",
+        "Value": 150
+      },
+      {
+        "Category": "Tiny-1",
+        "Value": 30
+      },
+      {
+        "Category": "Tiny-2",
+        "Value": 20
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/pyramid-chart/00-card18.flint.json b/test-harness/excel/evaluations/inputs/pyramid-chart/00-card18.flint.json
new file mode 100644
index 00000000..0ac8cd77
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/pyramid-chart/00-card18.flint.json
@@ -0,0 +1,113 @@
+{
+  "semantic_types": {
+    "Age Group": "Category",
+    "Population": "Quantity",
+    "Gender": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Pyramid Chart",
+    "encodings": {
+      "y": "Age Group",
+      "x": "Population",
+      "color": "Gender"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Age Group": "0-9",
+        "Gender": "Male",
+        "Population": 527
+      },
+      {
+        "Age Group": "0-9",
+        "Gender": "Female",
+        "Population": 1422
+      },
+      {
+        "Age Group": "10-19",
+        "Gender": "Male",
+        "Population": 974
+      },
+      {
+        "Age Group": "10-19",
+        "Gender": "Female",
+        "Population": 2170
+      },
+      {
+        "Age Group": "20-29",
+        "Gender": "Male",
+        "Population": 4821
+      },
+      {
+        "Age Group": "20-29",
+        "Gender": "Female",
+        "Population": 1091
+      },
+      {
+        "Age Group": "30-39",
+        "Gender": "Male",
+        "Population": 2992
+      },
+      {
+        "Age Group": "30-39",
+        "Gender": "Female",
+        "Population": 2650
+      },
+      {
+        "Age Group": "40-49",
+        "Gender": "Male",
+        "Population": 4160
+      },
+      {
+        "Age Group": "40-49",
+        "Gender": "Female",
+        "Population": 1654
+      },
+      {
+        "Age Group": "50-59",
+        "Gender": "Male",
+        "Population": 4915
+      },
+      {
+        "Age Group": "50-59",
+        "Gender": "Female",
+        "Population": 3139
+      },
+      {
+        "Age Group": "60-69",
+        "Gender": "Male",
+        "Population": 3470
+      },
+      {
+        "Age Group": "60-69",
+        "Gender": "Female",
+        "Population": 4381
+      },
+      {
+        "Age Group": "70-79",
+        "Gender": "Male",
+        "Population": 2929
+      },
+      {
+        "Age Group": "70-79",
+        "Gender": "Female",
+        "Population": 3097
+      },
+      {
+        "Age Group": "80+",
+        "Gender": "Male",
+        "Population": 2674
+      },
+      {
+        "Age Group": "80+",
+        "Gender": "Female",
+        "Population": 4917
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/pyramid-chart/01-card12.flint.json b/test-harness/excel/evaluations/inputs/pyramid-chart/01-card12.flint.json
new file mode 100644
index 00000000..f35621c1
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/pyramid-chart/01-card12.flint.json
@@ -0,0 +1,83 @@
+{
+  "semantic_types": {
+    "Grade": "Category",
+    "Count": "Count",
+    "Type": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Pyramid Chart",
+    "encodings": {
+      "y": "Grade",
+      "x": "Count",
+      "color": "Type"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Grade": "Junior",
+        "Type": "Full-Time",
+        "Count": 203
+      },
+      {
+        "Grade": "Junior",
+        "Type": "Part-Time",
+        "Count": 85
+      },
+      {
+        "Grade": "Mid-level",
+        "Type": "Full-Time",
+        "Count": 97
+      },
+      {
+        "Grade": "Mid-level",
+        "Type": "Part-Time",
+        "Count": 60
+      },
+      {
+        "Grade": "Senior",
+        "Type": "Full-Time",
+        "Count": 147
+      },
+      {
+        "Grade": "Senior",
+        "Type": "Part-Time",
+        "Count": 86
+      },
+      {
+        "Grade": "Lead",
+        "Type": "Full-Time",
+        "Count": 114
+      },
+      {
+        "Grade": "Lead",
+        "Type": "Part-Time",
+        "Count": 44
+      },
+      {
+        "Grade": "Manager",
+        "Type": "Full-Time",
+        "Count": 111
+      },
+      {
+        "Grade": "Manager",
+        "Type": "Part-Time",
+        "Count": 18
+      },
+      {
+        "Grade": "Director",
+        "Type": "Full-Time",
+        "Count": 66
+      },
+      {
+        "Grade": "Director",
+        "Type": "Part-Time",
+        "Count": 76
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/pyramid-chart/02-card10.flint.json b/test-harness/excel/evaluations/inputs/pyramid-chart/02-card10.flint.json
new file mode 100644
index 00000000..ce03f066
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/pyramid-chart/02-card10.flint.json
@@ -0,0 +1,73 @@
+{
+  "semantic_types": {
+    "Satisfaction Level": "Category",
+    "Count": "Count",
+    "Response": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Pyramid Chart",
+    "encodings": {
+      "y": "Satisfaction Level",
+      "x": "Count",
+      "color": "Response"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Satisfaction Level": "Very Low",
+        "Response": "Agree",
+        "Count": 146
+      },
+      {
+        "Satisfaction Level": "Very Low",
+        "Response": "Disagree",
+        "Count": 87
+      },
+      {
+        "Satisfaction Level": "Low",
+        "Response": "Agree",
+        "Count": 328
+      },
+      {
+        "Satisfaction Level": "Low",
+        "Response": "Disagree",
+        "Count": 250
+      },
+      {
+        "Satisfaction Level": "Medium",
+        "Response": "Agree",
+        "Count": 331
+      },
+      {
+        "Satisfaction Level": "Medium",
+        "Response": "Disagree",
+        "Count": 39
+      },
+      {
+        "Satisfaction Level": "High",
+        "Response": "Agree",
+        "Count": 218
+      },
+      {
+        "Satisfaction Level": "High",
+        "Response": "Disagree",
+        "Count": 213
+      },
+      {
+        "Satisfaction Level": "Very High",
+        "Response": "Agree",
+        "Count": 61
+      },
+      {
+        "Satisfaction Level": "Very High",
+        "Response": "Disagree",
+        "Count": 247
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/pyramid-chart/03-card24.flint.json b/test-harness/excel/evaluations/inputs/pyramid-chart/03-card24.flint.json
new file mode 100644
index 00000000..c8755ebe
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/pyramid-chart/03-card24.flint.json
@@ -0,0 +1,143 @@
+{
+  "semantic_types": {
+    "Income Bracket": "Category",
+    "Count": "Count",
+    "Area": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Pyramid Chart",
+    "encodings": {
+      "y": "Income Bracket",
+      "x": "Count",
+      "color": "Area"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Income Bracket": "<$20K",
+        "Area": "Urban",
+        "Count": 2948
+      },
+      {
+        "Income Bracket": "<$20K",
+        "Area": "Rural",
+        "Count": 963
+      },
+      {
+        "Income Bracket": "$20-30K",
+        "Area": "Urban",
+        "Count": 1621
+      },
+      {
+        "Income Bracket": "$20-30K",
+        "Area": "Rural",
+        "Count": 795
+      },
+      {
+        "Income Bracket": "$30-40K",
+        "Area": "Urban",
+        "Count": 790
+      },
+      {
+        "Income Bracket": "$30-40K",
+        "Area": "Rural",
+        "Count": 1034
+      },
+      {
+        "Income Bracket": "$40-50K",
+        "Area": "Urban",
+        "Count": 2441
+      },
+      {
+        "Income Bracket": "$40-50K",
+        "Area": "Rural",
+        "Count": 915
+      },
+      {
+        "Income Bracket": "$50-60K",
+        "Area": "Urban",
+        "Count": 2787
+      },
+      {
+        "Income Bracket": "$50-60K",
+        "Area": "Rural",
+        "Count": 263
+      },
+      {
+        "Income Bracket": "$60-70K",
+        "Area": "Urban",
+        "Count": 1799
+      },
+      {
+        "Income Bracket": "$60-70K",
+        "Area": "Rural",
+        "Count": 475
+      },
+      {
+        "Income Bracket": "$70-80K",
+        "Area": "Urban",
+        "Count": 2352
+      },
+      {
+        "Income Bracket": "$70-80K",
+        "Area": "Rural",
+        "Count": 1285
+      },
+      {
+        "Income Bracket": "$80-90K",
+        "Area": "Urban",
+        "Count": 547
+      },
+      {
+        "Income Bracket": "$80-90K",
+        "Area": "Rural",
+        "Count": 832
+      },
+      {
+        "Income Bracket": "$90-100K",
+        "Area": "Urban",
+        "Count": 172
+      },
+      {
+        "Income Bracket": "$90-100K",
+        "Area": "Rural",
+        "Count": 1038
+      },
+      {
+        "Income Bracket": "$100-120K",
+        "Area": "Urban",
+        "Count": 1464
+      },
+      {
+        "Income Bracket": "$100-120K",
+        "Area": "Rural",
+        "Count": 197
+      },
+      {
+        "Income Bracket": "$120-150K",
+        "Area": "Urban",
+        "Count": 2846
+      },
+      {
+        "Income Bracket": "$120-150K",
+        "Area": "Rural",
+        "Count": 109
+      },
+      {
+        "Income Bracket": "$150K+",
+        "Area": "Urban",
+        "Count": 577
+      },
+      {
+        "Income Bracket": "$150K+",
+        "Area": "Rural",
+        "Count": 1857
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/pyramid-chart/04-card10.flint.json b/test-harness/excel/evaluations/inputs/pyramid-chart/04-card10.flint.json
new file mode 100644
index 00000000..6f67c702
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/pyramid-chart/04-card10.flint.json
@@ -0,0 +1,73 @@
+{
+  "semantic_types": {
+    "Degree Level": "Category",
+    "Count": "Count",
+    "Outcome": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Pyramid Chart",
+    "encodings": {
+      "y": "Degree Level",
+      "x": "Count",
+      "color": "Outcome"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Degree Level": "High School",
+        "Outcome": "Admitted",
+        "Count": 3305
+      },
+      {
+        "Degree Level": "High School",
+        "Outcome": "Rejected",
+        "Count": 2560
+      },
+      {
+        "Degree Level": "Associate",
+        "Outcome": "Admitted",
+        "Count": 4171
+      },
+      {
+        "Degree Level": "Associate",
+        "Outcome": "Rejected",
+        "Count": 1598
+      },
+      {
+        "Degree Level": "Bachelor",
+        "Outcome": "Admitted",
+        "Count": 2264
+      },
+      {
+        "Degree Level": "Bachelor",
+        "Outcome": "Rejected",
+        "Count": 1009
+      },
+      {
+        "Degree Level": "Master",
+        "Outcome": "Admitted",
+        "Count": 447
+      },
+      {
+        "Degree Level": "Master",
+        "Outcome": "Rejected",
+        "Count": 1535
+      },
+      {
+        "Degree Level": "Doctorate",
+        "Outcome": "Admitted",
+        "Count": 1663
+      },
+      {
+        "Degree Level": "Doctorate",
+        "Outcome": "Rejected",
+        "Count": 208
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/pyramid-chart/05-card20.flint.json b/test-harness/excel/evaluations/inputs/pyramid-chart/05-card20.flint.json
new file mode 100644
index 00000000..33e56e8a
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/pyramid-chart/05-card20.flint.json
@@ -0,0 +1,123 @@
+{
+  "semantic_types": {
+    "Country": "Country",
+    "Value": "Amount",
+    "Direction": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Pyramid Chart",
+    "encodings": {
+      "y": "Country",
+      "x": "Value",
+      "color": "Direction"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Country": "USA",
+        "Direction": "Import",
+        "Value": 31686
+      },
+      {
+        "Country": "USA",
+        "Direction": "Export",
+        "Value": 44720
+      },
+      {
+        "Country": "China",
+        "Direction": "Import",
+        "Value": 8071
+      },
+      {
+        "Country": "China",
+        "Direction": "Export",
+        "Value": 46763
+      },
+      {
+        "Country": "Japan",
+        "Direction": "Import",
+        "Value": 35829
+      },
+      {
+        "Country": "Japan",
+        "Direction": "Export",
+        "Value": 23447
+      },
+      {
+        "Country": "Germany",
+        "Direction": "Import",
+        "Value": 11702
+      },
+      {
+        "Country": "Germany",
+        "Direction": "Export",
+        "Value": 21445
+      },
+      {
+        "Country": "UK",
+        "Direction": "Import",
+        "Value": 17460
+      },
+      {
+        "Country": "UK",
+        "Direction": "Export",
+        "Value": 47488
+      },
+      {
+        "Country": "France",
+        "Direction": "Import",
+        "Value": 32401
+      },
+      {
+        "Country": "France",
+        "Direction": "Export",
+        "Value": 8762
+      },
+      {
+        "Country": "India",
+        "Direction": "Import",
+        "Value": 3322
+      },
+      {
+        "Country": "India",
+        "Direction": "Export",
+        "Value": 33256
+      },
+      {
+        "Country": "Brazil",
+        "Direction": "Import",
+        "Value": 29939
+      },
+      {
+        "Country": "Brazil",
+        "Direction": "Export",
+        "Value": 22031
+      },
+      {
+        "Country": "Canada",
+        "Direction": "Import",
+        "Value": 10621
+      },
+      {
+        "Country": "Canada",
+        "Direction": "Export",
+        "Value": 1603
+      },
+      {
+        "Country": "Australia",
+        "Direction": "Import",
+        "Value": 37942
+      },
+      {
+        "Country": "Australia",
+        "Direction": "Export",
+        "Value": 41683
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/pyramid-chart/06-card40.flint.json b/test-harness/excel/evaluations/inputs/pyramid-chart/06-card40.flint.json
new file mode 100644
index 00000000..cdb0f397
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/pyramid-chart/06-card40.flint.json
@@ -0,0 +1,223 @@
+{
+  "semantic_types": {
+    "Age Band": "Category",
+    "Population": "Quantity",
+    "Gender": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Pyramid Chart",
+    "encodings": {
+      "y": "Age Band",
+      "x": "Population",
+      "color": "Gender"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Age Band": "0-4",
+        "Gender": "Male",
+        "Population": 2562
+      },
+      {
+        "Age Band": "0-4",
+        "Gender": "Female",
+        "Population": 2821
+      },
+      {
+        "Age Band": "5-9",
+        "Gender": "Male",
+        "Population": 1694
+      },
+      {
+        "Age Band": "5-9",
+        "Gender": "Female",
+        "Population": 7030
+      },
+      {
+        "Age Band": "10-14",
+        "Gender": "Male",
+        "Population": 2276
+      },
+      {
+        "Age Band": "10-14",
+        "Gender": "Female",
+        "Population": 6293
+      },
+      {
+        "Age Band": "15-19",
+        "Gender": "Male",
+        "Population": 4082
+      },
+      {
+        "Age Band": "15-19",
+        "Gender": "Female",
+        "Population": 4774
+      },
+      {
+        "Age Band": "20-24",
+        "Gender": "Male",
+        "Population": 1512
+      },
+      {
+        "Age Band": "20-24",
+        "Gender": "Female",
+        "Population": 4685
+      },
+      {
+        "Age Band": "25-29",
+        "Gender": "Male",
+        "Population": 3723
+      },
+      {
+        "Age Band": "25-29",
+        "Gender": "Female",
+        "Population": 1606
+      },
+      {
+        "Age Band": "30-34",
+        "Gender": "Male",
+        "Population": 3954
+      },
+      {
+        "Age Band": "30-34",
+        "Gender": "Female",
+        "Population": 5662
+      },
+      {
+        "Age Band": "35-39",
+        "Gender": "Male",
+        "Population": 2340
+      },
+      {
+        "Age Band": "35-39",
+        "Gender": "Female",
+        "Population": 2752
+      },
+      {
+        "Age Band": "40-44",
+        "Gender": "Male",
+        "Population": 2722
+      },
+      {
+        "Age Band": "40-44",
+        "Gender": "Female",
+        "Population": 3587
+      },
+      {
+        "Age Band": "45-49",
+        "Gender": "Male",
+        "Population": 7493
+      },
+      {
+        "Age Band": "45-49",
+        "Gender": "Female",
+        "Population": 1024
+      },
+      {
+        "Age Band": "50-54",
+        "Gender": "Male",
+        "Population": 4263
+      },
+      {
+        "Age Band": "50-54",
+        "Gender": "Female",
+        "Population": 2318
+      },
+      {
+        "Age Band": "55-59",
+        "Gender": "Male",
+        "Population": 1315
+      },
+      {
+        "Age Band": "55-59",
+        "Gender": "Female",
+        "Population": 2663
+      },
+      {
+        "Age Band": "60-64",
+        "Gender": "Male",
+        "Population": 2837
+      },
+      {
+        "Age Band": "60-64",
+        "Gender": "Female",
+        "Population": 2936
+      },
+      {
+        "Age Band": "65-69",
+        "Gender": "Male",
+        "Population": 5796
+      },
+      {
+        "Age Band": "65-69",
+        "Gender": "Female",
+        "Population": 3040
+      },
+      {
+        "Age Band": "70-74",
+        "Gender": "Male",
+        "Population": 2846
+      },
+      {
+        "Age Band": "70-74",
+        "Gender": "Female",
+        "Population": 7447
+      },
+      {
+        "Age Band": "75-79",
+        "Gender": "Male",
+        "Population": 7263
+      },
+      {
+        "Age Band": "75-79",
+        "Gender": "Female",
+        "Population": 4439
+      },
+      {
+        "Age Band": "80-84",
+        "Gender": "Male",
+        "Population": 6170
+      },
+      {
+        "Age Band": "80-84",
+        "Gender": "Female",
+        "Population": 3486
+      },
+      {
+        "Age Band": "85-89",
+        "Gender": "Male",
+        "Population": 4649
+      },
+      {
+        "Age Band": "85-89",
+        "Gender": "Female",
+        "Population": 6026
+      },
+      {
+        "Age Band": "90-94",
+        "Gender": "Male",
+        "Population": 1734
+      },
+      {
+        "Age Band": "90-94",
+        "Gender": "Female",
+        "Population": 5397
+      },
+      {
+        "Age Band": "95-99",
+        "Gender": "Male",
+        "Population": 6683
+      },
+      {
+        "Age Band": "95-99",
+        "Gender": "Female",
+        "Population": 3448
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/pyramid-chart/07-card12.flint.json b/test-harness/excel/evaluations/inputs/pyramid-chart/07-card12.flint.json
new file mode 100644
index 00000000..68ed2b33
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/pyramid-chart/07-card12.flint.json
@@ -0,0 +1,83 @@
+{
+  "semantic_types": {
+    "Age Group": "Category",
+    "Population": "Quantity",
+    "Gender": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Pyramid Chart",
+    "encodings": {
+      "y": "Age Group",
+      "x": "Population",
+      "color": "Gender"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Age Group": "0-14",
+        "Gender": "Male",
+        "Population": 2612
+      },
+      {
+        "Age Group": "0-14",
+        "Gender": "Female",
+        "Population": 619
+      },
+      {
+        "Age Group": "15-29",
+        "Gender": "Male",
+        "Population": 695
+      },
+      {
+        "Age Group": "15-29",
+        "Gender": "Female",
+        "Population": 1916
+      },
+      {
+        "Age Group": "30-44",
+        "Gender": "Male",
+        "Population": 476
+      },
+      {
+        "Age Group": "30-44",
+        "Gender": "Female",
+        "Population": -257
+      },
+      {
+        "Age Group": "45-59",
+        "Gender": "Male",
+        "Population": 1558
+      },
+      {
+        "Age Group": "45-59",
+        "Gender": "Female",
+        "Population": 934
+      },
+      {
+        "Age Group": "60-74",
+        "Gender": "Male",
+        "Population": 2
+      },
+      {
+        "Age Group": "60-74",
+        "Gender": "Female",
+        "Population": 98
+      },
+      {
+        "Age Group": "75+",
+        "Gender": "Male",
+        "Population": -388
+      },
+      {
+        "Age Group": "75+",
+        "Gender": "Female",
+        "Population": 1841
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/radar-chart/00-card5.flint.json b/test-harness/excel/evaluations/inputs/radar-chart/00-card5.flint.json
new file mode 100644
index 00000000..577fd9a8
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/radar-chart/00-card5.flint.json
@@ -0,0 +1,48 @@
+{
+  "semantic_types": {
+    "Player": "Category",
+    "Metric": "Category",
+    "Value": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Radar Chart",
+    "encodings": {
+      "x": "Metric",
+      "y": "Value",
+      "color": "Player"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Player": "Player A",
+        "Metric": "Speed",
+        "Value": 85
+      },
+      {
+        "Player": "Player A",
+        "Metric": "Shooting",
+        "Value": 70
+      },
+      {
+        "Player": "Player A",
+        "Metric": "Passing",
+        "Value": 90
+      },
+      {
+        "Player": "Player A",
+        "Metric": "Dribbling",
+        "Value": 80
+      },
+      {
+        "Player": "Player A",
+        "Metric": "Defense",
+        "Value": 60
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/radar-chart/01-card6.flint.json b/test-harness/excel/evaluations/inputs/radar-chart/01-card6.flint.json
new file mode 100644
index 00000000..20c379a0
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/radar-chart/01-card6.flint.json
@@ -0,0 +1,83 @@
+{
+  "semantic_types": {
+    "Team": "Category",
+    "Metric": "Category",
+    "Value": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Radar Chart",
+    "encodings": {
+      "x": "Metric",
+      "y": "Value",
+      "color": "Team"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Team": "Team A",
+        "Metric": "Attack",
+        "Value": 85
+      },
+      {
+        "Team": "Team A",
+        "Metric": "Defense",
+        "Value": 70
+      },
+      {
+        "Team": "Team A",
+        "Metric": "Midfield",
+        "Value": 78
+      },
+      {
+        "Team": "Team A",
+        "Metric": "Speed",
+        "Value": 90
+      },
+      {
+        "Team": "Team A",
+        "Metric": "Stamina",
+        "Value": 65
+      },
+      {
+        "Team": "Team A",
+        "Metric": "Tactics",
+        "Value": 80
+      },
+      {
+        "Team": "Team B",
+        "Metric": "Attack",
+        "Value": 72
+      },
+      {
+        "Team": "Team B",
+        "Metric": "Defense",
+        "Value": 88
+      },
+      {
+        "Team": "Team B",
+        "Metric": "Midfield",
+        "Value": 82
+      },
+      {
+        "Team": "Team B",
+        "Metric": "Speed",
+        "Value": 68
+      },
+      {
+        "Team": "Team B",
+        "Metric": "Stamina",
+        "Value": 85
+      },
+      {
+        "Team": "Team B",
+        "Metric": "Tactics",
+        "Value": 75
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/radar-chart/02-card5.flint.json b/test-harness/excel/evaluations/inputs/radar-chart/02-card5.flint.json
new file mode 100644
index 00000000..8cb22580
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/radar-chart/02-card5.flint.json
@@ -0,0 +1,101 @@
+{
+  "semantic_types": {
+    "Product": "Category",
+    "Metric": "Category",
+    "Value": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Radar Chart",
+    "encodings": {
+      "x": "Metric",
+      "y": "Value",
+      "color": "Product"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    },
+    "chartProperties": {
+      "filled": false
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Product": "Widget",
+        "Metric": "Quality",
+        "Value": 90
+      },
+      {
+        "Product": "Widget",
+        "Metric": "Price",
+        "Value": 60
+      },
+      {
+        "Product": "Widget",
+        "Metric": "Durability",
+        "Value": 80
+      },
+      {
+        "Product": "Widget",
+        "Metric": "Design",
+        "Value": 75
+      },
+      {
+        "Product": "Widget",
+        "Metric": "Support",
+        "Value": 85
+      },
+      {
+        "Product": "Gadget",
+        "Metric": "Quality",
+        "Value": 70
+      },
+      {
+        "Product": "Gadget",
+        "Metric": "Price",
+        "Value": 85
+      },
+      {
+        "Product": "Gadget",
+        "Metric": "Durability",
+        "Value": 65
+      },
+      {
+        "Product": "Gadget",
+        "Metric": "Design",
+        "Value": 90
+      },
+      {
+        "Product": "Gadget",
+        "Metric": "Support",
+        "Value": 50
+      },
+      {
+        "Product": "Doohickey",
+        "Metric": "Quality",
+        "Value": 80
+      },
+      {
+        "Product": "Doohickey",
+        "Metric": "Price",
+        "Value": 70
+      },
+      {
+        "Product": "Doohickey",
+        "Metric": "Durability",
+        "Value": 90
+      },
+      {
+        "Product": "Doohickey",
+        "Metric": "Design",
+        "Value": 60
+      },
+      {
+        "Product": "Doohickey",
+        "Metric": "Support",
+        "Value": 70
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/radar-chart/04-card5.flint.json b/test-harness/excel/evaluations/inputs/radar-chart/04-card5.flint.json
new file mode 100644
index 00000000..022dec3e
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/radar-chart/04-card5.flint.json
@@ -0,0 +1,73 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Assessment": "Category",
+    "Score": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Radar Chart",
+    "encodings": {
+      "x": "Category",
+      "y": "Score",
+      "color": "Assessment"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Category": "Customer Satisfaction Score",
+        "Assessment": "Product A",
+        "Score": 82
+      },
+      {
+        "Category": "Annual Revenue Growth Rate",
+        "Assessment": "Product A",
+        "Score": 91
+      },
+      {
+        "Category": "Employee Retention",
+        "Assessment": "Product A",
+        "Score": 74
+      },
+      {
+        "Category": "Market Share Percentage",
+        "Assessment": "Product A",
+        "Score": 68
+      },
+      {
+        "Category": "Net Promoter Score",
+        "Assessment": "Product A",
+        "Score": 88
+      },
+      {
+        "Category": "Customer Satisfaction Score",
+        "Assessment": "Product B",
+        "Score": 70
+      },
+      {
+        "Category": "Annual Revenue Growth Rate",
+        "Assessment": "Product B",
+        "Score": 65
+      },
+      {
+        "Category": "Employee Retention",
+        "Assessment": "Product B",
+        "Score": 85
+      },
+      {
+        "Category": "Market Share Percentage",
+        "Assessment": "Product B",
+        "Score": 78
+      },
+      {
+        "Category": "Net Promoter Score",
+        "Assessment": "Product B",
+        "Score": 60
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/radar-chart/05-card8.flint.json b/test-harness/excel/evaluations/inputs/radar-chart/05-card8.flint.json
new file mode 100644
index 00000000..0fd99b23
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/radar-chart/05-card8.flint.json
@@ -0,0 +1,103 @@
+{
+  "semantic_types": {
+    "App": "Category",
+    "KPI": "Category",
+    "Rating": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Radar Chart",
+    "encodings": {
+      "x": "KPI",
+      "y": "Rating",
+      "color": "App"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "App": "Frontend",
+        "KPI": "Overall User Experience",
+        "Rating": 56
+      },
+      {
+        "App": "Backend",
+        "KPI": "Overall User Experience",
+        "Rating": 87
+      },
+      {
+        "App": "Frontend",
+        "KPI": "First Contentful Paint",
+        "Rating": 76
+      },
+      {
+        "App": "Backend",
+        "KPI": "First Contentful Paint",
+        "Rating": 50
+      },
+      {
+        "App": "Frontend",
+        "KPI": "Time to Interactive",
+        "Rating": 72
+      },
+      {
+        "App": "Backend",
+        "KPI": "Time to Interactive",
+        "Rating": 100
+      },
+      {
+        "App": "Frontend",
+        "KPI": "Cumulative Layout Shift",
+        "Rating": 99
+      },
+      {
+        "App": "Backend",
+        "KPI": "Cumulative Layout Shift",
+        "Rating": 68
+      },
+      {
+        "App": "Frontend",
+        "KPI": "Server Response Time",
+        "Rating": 53
+      },
+      {
+        "App": "Backend",
+        "KPI": "Server Response Time",
+        "Rating": 87
+      },
+      {
+        "App": "Frontend",
+        "KPI": "Error Rate per Minute",
+        "Rating": 57
+      },
+      {
+        "App": "Backend",
+        "KPI": "Error Rate per Minute",
+        "Rating": 89
+      },
+      {
+        "App": "Frontend",
+        "KPI": "Database Query Latency",
+        "Rating": 51
+      },
+      {
+        "App": "Backend",
+        "KPI": "Database Query Latency",
+        "Rating": 76
+      },
+      {
+        "App": "Frontend",
+        "KPI": "API Throughput",
+        "Rating": 93
+      },
+      {
+        "App": "Backend",
+        "KPI": "API Throughput",
+        "Rating": 53
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/radar-chart/06-card12.flint.json b/test-harness/excel/evaluations/inputs/radar-chart/06-card12.flint.json
new file mode 100644
index 00000000..75eaad1a
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/radar-chart/06-card12.flint.json
@@ -0,0 +1,203 @@
+{
+  "semantic_types": {
+    "Division": "Category",
+    "Factor": "Category",
+    "Score": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Radar Chart",
+    "encodings": {
+      "x": "Factor",
+      "y": "Score",
+      "color": "Division"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Division": "Americas",
+        "Factor": "Revenue",
+        "Score": 40
+      },
+      {
+        "Division": "EMEA",
+        "Factor": "Revenue",
+        "Score": 36
+      },
+      {
+        "Division": "APAC",
+        "Factor": "Revenue",
+        "Score": 38
+      },
+      {
+        "Division": "Americas",
+        "Factor": "Profit Margin",
+        "Score": 67
+      },
+      {
+        "Division": "EMEA",
+        "Factor": "Profit Margin",
+        "Score": 47
+      },
+      {
+        "Division": "APAC",
+        "Factor": "Profit Margin",
+        "Score": 38
+      },
+      {
+        "Division": "Americas",
+        "Factor": "Customer Retention",
+        "Score": 83
+      },
+      {
+        "Division": "EMEA",
+        "Factor": "Customer Retention",
+        "Score": 87
+      },
+      {
+        "Division": "APAC",
+        "Factor": "Customer Retention",
+        "Score": 92
+      },
+      {
+        "Division": "Americas",
+        "Factor": "Brand Awareness",
+        "Score": 42
+      },
+      {
+        "Division": "EMEA",
+        "Factor": "Brand Awareness",
+        "Score": 48
+      },
+      {
+        "Division": "APAC",
+        "Factor": "Brand Awareness",
+        "Score": 58
+      },
+      {
+        "Division": "Americas",
+        "Factor": "Market Penetration",
+        "Score": 56
+      },
+      {
+        "Division": "EMEA",
+        "Factor": "Market Penetration",
+        "Score": 33
+      },
+      {
+        "Division": "APAC",
+        "Factor": "Market Penetration",
+        "Score": 70
+      },
+      {
+        "Division": "Americas",
+        "Factor": "Product Quality",
+        "Score": 88
+      },
+      {
+        "Division": "EMEA",
+        "Factor": "Product Quality",
+        "Score": 84
+      },
+      {
+        "Division": "APAC",
+        "Factor": "Product Quality",
+        "Score": 45
+      },
+      {
+        "Division": "Americas",
+        "Factor": "Employee Engagement",
+        "Score": 64
+      },
+      {
+        "Division": "EMEA",
+        "Factor": "Employee Engagement",
+        "Score": 90
+      },
+      {
+        "Division": "APAC",
+        "Factor": "Employee Engagement",
+        "Score": 76
+      },
+      {
+        "Division": "Americas",
+        "Factor": "Innovation Index",
+        "Score": 73
+      },
+      {
+        "Division": "EMEA",
+        "Factor": "Innovation Index",
+        "Score": 46
+      },
+      {
+        "Division": "APAC",
+        "Factor": "Innovation Index",
+        "Score": 50
+      },
+      {
+        "Division": "Americas",
+        "Factor": "Supply Chain Efficiency",
+        "Score": 44
+      },
+      {
+        "Division": "EMEA",
+        "Factor": "Supply Chain Efficiency",
+        "Score": 80
+      },
+      {
+        "Division": "APAC",
+        "Factor": "Supply Chain Efficiency",
+        "Score": 90
+      },
+      {
+        "Division": "Americas",
+        "Factor": "Digital Transformation",
+        "Score": 44
+      },
+      {
+        "Division": "EMEA",
+        "Factor": "Digital Transformation",
+        "Score": 53
+      },
+      {
+        "Division": "APAC",
+        "Factor": "Digital Transformation",
+        "Score": 77
+      },
+      {
+        "Division": "Americas",
+        "Factor": "Sustainability Rating",
+        "Score": 100
+      },
+      {
+        "Division": "EMEA",
+        "Factor": "Sustainability Rating",
+        "Score": 77
+      },
+      {
+        "Division": "APAC",
+        "Factor": "Sustainability Rating",
+        "Score": 44
+      },
+      {
+        "Division": "Americas",
+        "Factor": "Compliance Score",
+        "Score": 89
+      },
+      {
+        "Division": "EMEA",
+        "Factor": "Compliance Score",
+        "Score": 31
+      },
+      {
+        "Division": "APAC",
+        "Factor": "Compliance Score",
+        "Score": 30
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/scatter-plot/00-card20.flint.json b/test-harness/excel/evaluations/inputs/scatter-plot/00-card20.flint.json
new file mode 100644
index 00000000..c7f41caa
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/scatter-plot/00-card20.flint.json
@@ -0,0 +1,101 @@
+{
+  "semantic_types": {
+    "X": "Quantity",
+    "Y": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Scatter Plot",
+    "encodings": {
+      "x": "X",
+      "y": "Y"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "X": 0,
+        "Y": 52.5
+      },
+      {
+        "X": 73.5,
+        "Y": 26.3
+      },
+      {
+        "X": 37.6,
+        "Y": 19.6
+      },
+      {
+        "X": 97.6,
+        "Y": 51.2
+      },
+      {
+        "X": 53,
+        "Y": 25.7
+      },
+      {
+        "X": 10.7,
+        "Y": 81.5
+      },
+      {
+        "X": 90.1,
+        "Y": 45.2
+      },
+      {
+        "X": 24.5,
+        "Y": 24.7
+      },
+      {
+        "X": 18.8,
+        "Y": 32.3
+      },
+      {
+        "X": 10.3,
+        "Y": 80.7
+      },
+      {
+        "X": 53.4,
+        "Y": 84.4
+      },
+      {
+        "X": 73.7,
+        "Y": 7.8
+      },
+      {
+        "X": 53.9,
+        "Y": 13.1
+      },
+      {
+        "X": 86.3,
+        "Y": 46.5
+      },
+      {
+        "X": 47.2,
+        "Y": 45
+      },
+      {
+        "X": 23.3,
+        "Y": 1.2
+      },
+      {
+        "X": 2.3,
+        "Y": 99.4
+      },
+      {
+        "X": 91.5,
+        "Y": 78.6
+      },
+      {
+        "X": 57.1,
+        "Y": 76.9
+      },
+      {
+        "X": 62.4,
+        "Y": 34.4
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/scatter-plot/01-card20.flint.json b/test-harness/excel/evaluations/inputs/scatter-plot/01-card20.flint.json
new file mode 100644
index 00000000..796b4995
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/scatter-plot/01-card20.flint.json
@@ -0,0 +1,123 @@
+{
+  "semantic_types": {
+    "X": "Quantity",
+    "Y": "Quantity",
+    "Segment": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Scatter Plot",
+    "encodings": {
+      "x": "X",
+      "y": "Y",
+      "color": "Segment"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "X": 37.6,
+        "Y": 26.7,
+        "Segment": "Electronics"
+      },
+      {
+        "X": 35.2,
+        "Y": 64.1,
+        "Segment": "Clothing"
+      },
+      {
+        "X": 36.4,
+        "Y": 5.3,
+        "Segment": "Food"
+      },
+      {
+        "X": 52.9,
+        "Y": 15.8,
+        "Segment": "Electronics"
+      },
+      {
+        "X": 45.4,
+        "Y": 32.9,
+        "Segment": "Clothing"
+      },
+      {
+        "X": 19.3,
+        "Y": 6.5,
+        "Segment": "Food"
+      },
+      {
+        "X": 98.7,
+        "Y": 54.6,
+        "Segment": "Electronics"
+      },
+      {
+        "X": 8.9,
+        "Y": 99.3,
+        "Segment": "Clothing"
+      },
+      {
+        "X": 43.4,
+        "Y": 70.2,
+        "Segment": "Food"
+      },
+      {
+        "X": 18.7,
+        "Y": 54.4,
+        "Segment": "Electronics"
+      },
+      {
+        "X": 99.5,
+        "Y": 19,
+        "Segment": "Clothing"
+      },
+      {
+        "X": 68.4,
+        "Y": 39.9,
+        "Segment": "Food"
+      },
+      {
+        "X": 43.9,
+        "Y": 74.7,
+        "Segment": "Electronics"
+      },
+      {
+        "X": 17.8,
+        "Y": 81.1,
+        "Segment": "Clothing"
+      },
+      {
+        "X": 80.6,
+        "Y": 9.7,
+        "Segment": "Food"
+      },
+      {
+        "X": 3,
+        "Y": 13.4,
+        "Segment": "Electronics"
+      },
+      {
+        "X": 63.7,
+        "Y": 38,
+        "Segment": "Clothing"
+      },
+      {
+        "X": 24.9,
+        "Y": 50.7,
+        "Segment": "Food"
+      },
+      {
+        "X": 52.1,
+        "Y": 10.4,
+        "Segment": "Electronics"
+      },
+      {
+        "X": 98.4,
+        "Y": 34.9,
+        "Segment": "Clothing"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/scatter-plot/02-card20.flint.json b/test-harness/excel/evaluations/inputs/scatter-plot/02-card20.flint.json
new file mode 100644
index 00000000..8e81c7f2
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/scatter-plot/02-card20.flint.json
@@ -0,0 +1,123 @@
+{
+  "semantic_types": {
+    "X": "Quantity",
+    "Y": "Quantity",
+    "ColorVal": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Scatter Plot",
+    "encodings": {
+      "x": "X",
+      "y": "Y",
+      "color": "ColorVal"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "X": 76.8,
+        "Y": 26.5,
+        "ColorVal": 66.6
+      },
+      {
+        "X": 91.5,
+        "Y": 46.6,
+        "ColorVal": 44.1
+      },
+      {
+        "X": 92.1,
+        "Y": 46.7,
+        "ColorVal": 97.7
+      },
+      {
+        "X": 32,
+        "Y": 79.4,
+        "ColorVal": 86.6
+      },
+      {
+        "X": 74.3,
+        "Y": 55.7,
+        "ColorVal": 82.7
+      },
+      {
+        "X": 53.1,
+        "Y": 30.7,
+        "ColorVal": 34.3
+      },
+      {
+        "X": 31.1,
+        "Y": 44.7,
+        "ColorVal": 56.7
+      },
+      {
+        "X": 65.3,
+        "Y": 6.3,
+        "ColorVal": 49
+      },
+      {
+        "X": 45.6,
+        "Y": 1,
+        "ColorVal": 70.1
+      },
+      {
+        "X": 38.8,
+        "Y": 44.7,
+        "ColorVal": 93.6
+      },
+      {
+        "X": 12.5,
+        "Y": 42.8,
+        "ColorVal": 29.3
+      },
+      {
+        "X": 41.1,
+        "Y": 24.4,
+        "ColorVal": 36.6
+      },
+      {
+        "X": 71,
+        "Y": 93.6,
+        "ColorVal": 1.8
+      },
+      {
+        "X": 47.8,
+        "Y": 82.2,
+        "ColorVal": 53.3
+      },
+      {
+        "X": 12.6,
+        "Y": 40,
+        "ColorVal": 12.9
+      },
+      {
+        "X": 81.2,
+        "Y": 39.2,
+        "ColorVal": 7.6
+      },
+      {
+        "X": 59.8,
+        "Y": 33.7,
+        "ColorVal": 25.4
+      },
+      {
+        "X": 38.6,
+        "Y": 31.4,
+        "ColorVal": 61.7
+      },
+      {
+        "X": 20.4,
+        "Y": 28.4,
+        "ColorVal": 98.9
+      },
+      {
+        "X": 19.6,
+        "Y": 66.2,
+        "ColorVal": 51.4
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/scatter-plot/03-card30.flint.json b/test-harness/excel/evaluations/inputs/scatter-plot/03-card30.flint.json
new file mode 100644
index 00000000..7513f0b4
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/scatter-plot/03-card30.flint.json
@@ -0,0 +1,173 @@
+{
+  "semantic_types": {
+    "X": "Quantity",
+    "Y": "Quantity",
+    "Timestamp": "Date"
+  },
+  "chart_spec": {
+    "chartType": "Scatter Plot",
+    "encodings": {
+      "x": "X",
+      "y": "Y",
+      "color": "Timestamp"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "X": 78.5,
+        "Y": 12.7,
+        "Timestamp": "2020-01-01"
+      },
+      {
+        "X": 35.8,
+        "Y": 22.2,
+        "Timestamp": "2020-02-06"
+      },
+      {
+        "X": 29.9,
+        "Y": 16.8,
+        "Timestamp": "2020-03-14"
+      },
+      {
+        "X": 95.6,
+        "Y": 72.6,
+        "Timestamp": "2020-04-19"
+      },
+      {
+        "X": 58.9,
+        "Y": 51.8,
+        "Timestamp": "2020-05-26"
+      },
+      {
+        "X": 48.9,
+        "Y": 36.6,
+        "Timestamp": "2020-07-01"
+      },
+      {
+        "X": 29.3,
+        "Y": 39,
+        "Timestamp": "2020-08-07"
+      },
+      {
+        "X": 40.8,
+        "Y": 42.9,
+        "Timestamp": "2020-09-12"
+      },
+      {
+        "X": 32.2,
+        "Y": 35.3,
+        "Timestamp": "2020-10-19"
+      },
+      {
+        "X": 10.9,
+        "Y": 72.9,
+        "Timestamp": "2020-11-24"
+      },
+      {
+        "X": 40.9,
+        "Y": 1,
+        "Timestamp": "2020-12-31"
+      },
+      {
+        "X": 35.1,
+        "Y": 53.7,
+        "Timestamp": "2021-02-05"
+      },
+      {
+        "X": 19.2,
+        "Y": 87,
+        "Timestamp": "2021-03-14"
+      },
+      {
+        "X": 91.3,
+        "Y": 96.5,
+        "Timestamp": "2021-04-19"
+      },
+      {
+        "X": 79.4,
+        "Y": 23.3,
+        "Timestamp": "2021-05-26"
+      },
+      {
+        "X": 51,
+        "Y": 19.7,
+        "Timestamp": "2021-07-01"
+      },
+      {
+        "X": 87.1,
+        "Y": 81.2,
+        "Timestamp": "2021-08-07"
+      },
+      {
+        "X": 98.5,
+        "Y": 34.4,
+        "Timestamp": "2021-09-12"
+      },
+      {
+        "X": 62.8,
+        "Y": 67.5,
+        "Timestamp": "2021-10-19"
+      },
+      {
+        "X": 89.2,
+        "Y": 12.3,
+        "Timestamp": "2021-11-24"
+      },
+      {
+        "X": 68,
+        "Y": 99.7,
+        "Timestamp": "2021-12-31"
+      },
+      {
+        "X": 97.6,
+        "Y": 13,
+        "Timestamp": "2022-02-05"
+      },
+      {
+        "X": 36.9,
+        "Y": 4,
+        "Timestamp": "2022-03-14"
+      },
+      {
+        "X": 54.3,
+        "Y": 17.5,
+        "Timestamp": "2022-04-19"
+      },
+      {
+        "X": 50.5,
+        "Y": 15.6,
+        "Timestamp": "2022-05-26"
+      },
+      {
+        "X": 79.3,
+        "Y": 25,
+        "Timestamp": "2022-07-01"
+      },
+      {
+        "X": 21.7,
+        "Y": 33.8,
+        "Timestamp": "2022-08-07"
+      },
+      {
+        "X": 74.5,
+        "Y": 41.4,
+        "Timestamp": "2022-09-12"
+      },
+      {
+        "X": 95.7,
+        "Y": 57.5,
+        "Timestamp": "2022-10-19"
+      },
+      {
+        "X": 45.2,
+        "Y": 63.7,
+        "Timestamp": "2022-11-24"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/scatter-plot/04-card47.flint.json b/test-harness/excel/evaluations/inputs/scatter-plot/04-card47.flint.json
new file mode 100644
index 00000000..fa3fa857
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/scatter-plot/04-card47.flint.json
@@ -0,0 +1,273 @@
+{
+  "semantic_types": {
+    "X": "Quantity",
+    "Y": "Quantity",
+    "Size": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Scatter Plot",
+    "encodings": {
+      "x": "X",
+      "y": "Y",
+      "size": "Size"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
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+        "Size": 15.1
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+}
diff --git a/test-harness/excel/evaluations/inputs/scatter-plot/05-card20.flint.json b/test-harness/excel/evaluations/inputs/scatter-plot/05-card20.flint.json
new file mode 100644
index 00000000..ad18f944
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/scatter-plot/05-card20.flint.json
@@ -0,0 +1,123 @@
+{
+  "semantic_types": {
+    "X": "Quantity",
+    "Y": "Quantity",
+    "Level": "Rank"
+  },
+  "chart_spec": {
+    "chartType": "Scatter Plot",
+    "encodings": {
+      "x": "X",
+      "y": "Y",
+      "size": "Level"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
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+        "Level": "Low"
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+}
diff --git a/test-harness/excel/evaluations/inputs/scatter-plot/06-card15.flint.json b/test-harness/excel/evaluations/inputs/scatter-plot/06-card15.flint.json
new file mode 100644
index 00000000..a65f0684
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/scatter-plot/06-card15.flint.json
@@ -0,0 +1,115 @@
+{
+  "semantic_types": {
+    "X": "Quantity",
+    "Y": "Quantity",
+    "Segment": "Category",
+    "Size": "Quantity"
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+  "chart_spec": {
+    "chartType": "Scatter Plot",
+    "encodings": {
+      "x": "X",
+      "y": "Y",
+      "color": "Segment",
+      "size": "Size"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
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+        "Segment": "Food",
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+}
diff --git a/test-harness/excel/evaluations/inputs/scatter-plot/07-card30.flint.json b/test-harness/excel/evaluations/inputs/scatter-plot/07-card30.flint.json
new file mode 100644
index 00000000..2f840973
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/scatter-plot/07-card30.flint.json
@@ -0,0 +1,205 @@
+{
+  "semantic_types": {
+    "X": "Quantity",
+    "Y": "Quantity",
+    "ColorVal": "Quantity",
+    "Size": "Quantity"
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+    "chartType": "Scatter Plot",
+    "encodings": {
+      "x": "X",
+      "y": "Y",
+      "color": "ColorVal",
+      "size": "Size"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
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+}
diff --git a/test-harness/excel/evaluations/inputs/scatter-plot/08-card20.flint.json b/test-harness/excel/evaluations/inputs/scatter-plot/08-card20.flint.json
new file mode 100644
index 00000000..1be156c3
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/scatter-plot/08-card20.flint.json
@@ -0,0 +1,145 @@
+{
+  "semantic_types": {
+    "X": "Quantity",
+    "Y": "Quantity",
+    "Segment": "Category",
+    "Size": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Scatter Plot",
+    "encodings": {
+      "x": "X",
+      "y": "Y",
+      "color": "Segment",
+      "size": "Size"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
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+        "Segment": "Pet",
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+        "Segment": "Crafts",
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+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/scatter-plot/09-card91.flint.json b/test-harness/excel/evaluations/inputs/scatter-plot/09-card91.flint.json
new file mode 100644
index 00000000..20f806ff
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/scatter-plot/09-card91.flint.json
@@ -0,0 +1,421 @@
+{
+  "semantic_types": {
+    "X": "Quantity",
+    "Y": "Quantity"
+  },
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diff --git a/test-harness/excel/evaluations/inputs/scatter-plot/10-card395.flint.json b/test-harness/excel/evaluations/inputs/scatter-plot/10-card395.flint.json
new file mode 100644
index 00000000..56c4cfe0
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/scatter-plot/10-card395.flint.json
@@ -0,0 +1,2021 @@
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diff --git a/test-harness/excel/evaluations/inputs/scatter-plot/11-card182.flint.json b/test-harness/excel/evaluations/inputs/scatter-plot/11-card182.flint.json
new file mode 100644
index 00000000..539c4519
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/scatter-plot/11-card182.flint.json
@@ -0,0 +1,1023 @@
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diff --git a/test-harness/excel/evaluations/inputs/scatter-plot/12-card96.flint.json b/test-harness/excel/evaluations/inputs/scatter-plot/12-card96.flint.json
new file mode 100644
index 00000000..0cd56cb6
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/scatter-plot/12-card96.flint.json
@@ -0,0 +1,523 @@
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diff --git a/test-harness/excel/evaluations/inputs/scatter-plot/13-card10.flint.json b/test-harness/excel/evaluations/inputs/scatter-plot/13-card10.flint.json
new file mode 100644
index 00000000..c4102d5e
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/scatter-plot/13-card10.flint.json
@@ -0,0 +1,73 @@
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diff --git a/test-harness/excel/evaluations/inputs/scatter-plot/14-card187.flint.json b/test-harness/excel/evaluations/inputs/scatter-plot/14-card187.flint.json
new file mode 100644
index 00000000..ace73d8a
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/scatter-plot/14-card187.flint.json
@@ -0,0 +1,1023 @@
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+      {
+        "X": 45.9,
+        "Y": 46.2,
+        "Size": 87.6
+      },
+      {
+        "X": 46.4,
+        "Y": 62.1,
+        "Size": 3.9
+      },
+      {
+        "X": 11.4,
+        "Y": 11.3,
+        "Size": 80.3
+      },
+      {
+        "X": 18.7,
+        "Y": 58.5,
+        "Size": 47
+      },
+      {
+        "X": 49.9,
+        "Y": 21.3,
+        "Size": 84.4
+      },
+      {
+        "X": 1.9,
+        "Y": 65.6,
+        "Size": 11.8
+      },
+      {
+        "X": 27.9,
+        "Y": 52.4,
+        "Size": 48.6
+      },
+      {
+        "X": 43.5,
+        "Y": 36.7,
+        "Size": 95.7
+      },
+      {
+        "X": 30.8,
+        "Y": 53,
+        "Size": 50.5
+      },
+      {
+        "X": 84.6,
+        "Y": 69.5,
+        "Size": 50.3
+      },
+      {
+        "X": 71.1,
+        "Y": 59.6,
+        "Size": 77.1
+      },
+      {
+        "X": 24.3,
+        "Y": 62.5,
+        "Size": 32
+      },
+      {
+        "X": 65.3,
+        "Y": 91.9,
+        "Size": 43.9
+      },
+      {
+        "X": 12.6,
+        "Y": 52,
+        "Size": 64
+      },
+      {
+        "X": 15.7,
+        "Y": 6.6,
+        "Size": 96
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/scatter-plot/15-card5.flint.json b/test-harness/excel/evaluations/inputs/scatter-plot/15-card5.flint.json
new file mode 100644
index 00000000..c9a43959
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/scatter-plot/15-card5.flint.json
@@ -0,0 +1,148 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Y": "Quantity",
+    "ColorVal": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Scatter Plot",
+    "encodings": {
+      "x": "Category",
+      "y": "Y",
+      "color": "ColorVal"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Category": "Electronics",
+        "Y": 53.3,
+        "ColorVal": 47.7
+      },
+      {
+        "Category": "Clothing",
+        "Y": 86.4,
+        "ColorVal": 91.1
+      },
+      {
+        "Category": "Food",
+        "Y": 12.6,
+        "ColorVal": 86.8
+      },
+      {
+        "Category": "Books",
+        "Y": 26,
+        "ColorVal": 46
+      },
+      {
+        "Category": "Sports",
+        "Y": 18.8,
+        "ColorVal": 26.4
+      },
+      {
+        "Category": "Electronics",
+        "Y": 89.5,
+        "ColorVal": 57.3
+      },
+      {
+        "Category": "Clothing",
+        "Y": 69.2,
+        "ColorVal": 97.1
+      },
+      {
+        "Category": "Food",
+        "Y": 30.8,
+        "ColorVal": 36.6
+      },
+      {
+        "Category": "Books",
+        "Y": 63.9,
+        "ColorVal": 30.1
+      },
+      {
+        "Category": "Sports",
+        "Y": 0.3,
+        "ColorVal": 95.1
+      },
+      {
+        "Category": "Electronics",
+        "Y": 23.7,
+        "ColorVal": 46.1
+      },
+      {
+        "Category": "Clothing",
+        "Y": 1.6,
+        "ColorVal": 88.8
+      },
+      {
+        "Category": "Food",
+        "Y": 44.3,
+        "ColorVal": 49.1
+      },
+      {
+        "Category": "Books",
+        "Y": 26.6,
+        "ColorVal": 83.6
+      },
+      {
+        "Category": "Sports",
+        "Y": 18.4,
+        "ColorVal": 14.6
+      },
+      {
+        "Category": "Electronics",
+        "Y": 11.2,
+        "ColorVal": 86.5
+      },
+      {
+        "Category": "Clothing",
+        "Y": 81.8,
+        "ColorVal": 65.6
+      },
+      {
+        "Category": "Food",
+        "Y": 38.9,
+        "ColorVal": 32.5
+      },
+      {
+        "Category": "Books",
+        "Y": 26.8,
+        "ColorVal": 70.9
+      },
+      {
+        "Category": "Sports",
+        "Y": 2.7,
+        "ColorVal": 39.2
+      },
+      {
+        "Category": "Electronics",
+        "Y": 38.5,
+        "ColorVal": 49.5
+      },
+      {
+        "Category": "Clothing",
+        "Y": 62.6,
+        "ColorVal": 51
+      },
+      {
+        "Category": "Food",
+        "Y": 60.9,
+        "ColorVal": 36
+      },
+      {
+        "Category": "Books",
+        "Y": 55.6,
+        "ColorVal": 3.2
+      },
+      {
+        "Category": "Sports",
+        "Y": 92.3,
+        "ColorVal": 76.8
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/scatter-plot/16-card5.flint.json b/test-harness/excel/evaluations/inputs/scatter-plot/16-card5.flint.json
new file mode 100644
index 00000000..5bef9c8d
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/scatter-plot/16-card5.flint.json
@@ -0,0 +1,148 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Y": "Quantity",
+    "Size": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Scatter Plot",
+    "encodings": {
+      "x": "Category",
+      "y": "Y",
+      "size": "Size"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Category": "Electronics",
+        "Y": 20.4,
+        "Size": 11.2
+      },
+      {
+        "Category": "Clothing",
+        "Y": 83,
+        "Size": 73.6
+      },
+      {
+        "Category": "Food",
+        "Y": 67.3,
+        "Size": 23.2
+      },
+      {
+        "Category": "Books",
+        "Y": 80.9,
+        "Size": 90.9
+      },
+      {
+        "Category": "Sports",
+        "Y": 55.3,
+        "Size": 44.5
+      },
+      {
+        "Category": "Electronics",
+        "Y": 70.5,
+        "Size": 33.9
+      },
+      {
+        "Category": "Clothing",
+        "Y": 7.4,
+        "Size": 19
+      },
+      {
+        "Category": "Food",
+        "Y": 75.2,
+        "Size": 34.1
+      },
+      {
+        "Category": "Books",
+        "Y": 34.8,
+        "Size": 75.5
+      },
+      {
+        "Category": "Sports",
+        "Y": 4.9,
+        "Size": 59.1
+      },
+      {
+        "Category": "Electronics",
+        "Y": 77.9,
+        "Size": 17.9
+      },
+      {
+        "Category": "Clothing",
+        "Y": 23.3,
+        "Size": 16.2
+      },
+      {
+        "Category": "Food",
+        "Y": 72.8,
+        "Size": 67.3
+      },
+      {
+        "Category": "Books",
+        "Y": 58.3,
+        "Size": 61.7
+      },
+      {
+        "Category": "Sports",
+        "Y": 61,
+        "Size": 84.5
+      },
+      {
+        "Category": "Electronics",
+        "Y": 21.8,
+        "Size": 81.1
+      },
+      {
+        "Category": "Clothing",
+        "Y": 27.9,
+        "Size": 99.3
+      },
+      {
+        "Category": "Food",
+        "Y": 38.3,
+        "Size": 5.2
+      },
+      {
+        "Category": "Books",
+        "Y": 95.7,
+        "Size": 86.8
+      },
+      {
+        "Category": "Sports",
+        "Y": 6,
+        "Size": 55.7
+      },
+      {
+        "Category": "Electronics",
+        "Y": 18.4,
+        "Size": 4.9
+      },
+      {
+        "Category": "Clothing",
+        "Y": 38.1,
+        "Size": 51.6
+      },
+      {
+        "Category": "Food",
+        "Y": 19.9,
+        "Size": 31.1
+      },
+      {
+        "Category": "Books",
+        "Y": 49.3,
+        "Size": 54.9
+      },
+      {
+        "Category": "Sports",
+        "Y": 71.3,
+        "Size": 78.1
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/scatter-plot/17-card2.flint.json b/test-harness/excel/evaluations/inputs/scatter-plot/17-card2.flint.json
new file mode 100644
index 00000000..1343e4ca
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/scatter-plot/17-card2.flint.json
@@ -0,0 +1,141 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Y": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Scatter Plot",
+    "encodings": {
+      "x": "Category",
+      "y": "Y"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Category": "Electronics",
+        "Y": 22.5
+      },
+      {
+        "Category": "Clothing",
+        "Y": 84.4
+      },
+      {
+        "Category": "Electronics",
+        "Y": 34.8
+      },
+      {
+        "Category": "Clothing",
+        "Y": 96.6
+      },
+      {
+        "Category": "Electronics",
+        "Y": 71.5
+      },
+      {
+        "Category": "Clothing",
+        "Y": 15.6
+      },
+      {
+        "Category": "Electronics",
+        "Y": 76.2
+      },
+      {
+        "Category": "Clothing",
+        "Y": 5.1
+      },
+      {
+        "Category": "Electronics",
+        "Y": 37.5
+      },
+      {
+        "Category": "Clothing",
+        "Y": 29.1
+      },
+      {
+        "Category": "Electronics",
+        "Y": 69.1
+      },
+      {
+        "Category": "Clothing",
+        "Y": 61.4
+      },
+      {
+        "Category": "Electronics",
+        "Y": 72.9
+      },
+      {
+        "Category": "Clothing",
+        "Y": 8.4
+      },
+      {
+        "Category": "Electronics",
+        "Y": 38.2
+      },
+      {
+        "Category": "Clothing",
+        "Y": 88.3
+      },
+      {
+        "Category": "Electronics",
+        "Y": 31.9
+      },
+      {
+        "Category": "Clothing",
+        "Y": 26.9
+      },
+      {
+        "Category": "Electronics",
+        "Y": 42.2
+      },
+      {
+        "Category": "Clothing",
+        "Y": 38.4
+      },
+      {
+        "Category": "Electronics",
+        "Y": 63.1
+      },
+      {
+        "Category": "Clothing",
+        "Y": 55
+      },
+      {
+        "Category": "Electronics",
+        "Y": 30.8
+      },
+      {
+        "Category": "Clothing",
+        "Y": 25.7
+      },
+      {
+        "Category": "Electronics",
+        "Y": 3.1
+      },
+      {
+        "Category": "Clothing",
+        "Y": 11.6
+      },
+      {
+        "Category": "Electronics",
+        "Y": 11.1
+      },
+      {
+        "Category": "Clothing",
+        "Y": 93.9
+      },
+      {
+        "Category": "Electronics",
+        "Y": 34.1
+      },
+      {
+        "Category": "Clothing",
+        "Y": 16.6
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/scatter-plot/18-card60.flint.json b/test-harness/excel/evaluations/inputs/scatter-plot/18-card60.flint.json
new file mode 100644
index 00000000..c00c3545
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/scatter-plot/18-card60.flint.json
@@ -0,0 +1,261 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Y": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Scatter Plot",
+    "encodings": {
+      "x": "Category",
+      "y": "Y"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Category": "James Walker",
+        "Y": 66.2
+      },
+      {
+        "Category": "Paul Wilson",
+        "Y": 49.3
+      },
+      {
+        "Category": "Jessica Martin",
+        "Y": 28.5
+      },
+      {
+        "Category": "Christopher Moore",
+        "Y": 14.6
+      },
+      {
+        "Category": "Betty Wilson",
+        "Y": 7.2
+      },
+      {
+        "Category": "Steven Lewis",
+        "Y": 13.8
+      },
+      {
+        "Category": "Karen Lopez",
+        "Y": 41.6
+      },
+      {
+        "Category": "Sandra Wright",
+        "Y": 5.7
+      },
+      {
+        "Category": "Daniel King",
+        "Y": 1.8
+      },
+      {
+        "Category": "Mark Taylor",
+        "Y": 47.2
+      },
+      {
+        "Category": "Sandra Thomas",
+        "Y": 9.7
+      },
+      {
+        "Category": "Karen Rodriguez",
+        "Y": 52.1
+      },
+      {
+        "Category": "Patricia Jackson",
+        "Y": 6.5
+      },
+      {
+        "Category": "Donna Hill",
+        "Y": 44.4
+      },
+      {
+        "Category": "Donna White",
+        "Y": 25.8
+      },
+      {
+        "Category": "Michael Brown",
+        "Y": 15.9
+      },
+      {
+        "Category": "Elizabeth Robinson",
+        "Y": 42.9
+      },
+      {
+        "Category": "Mary Jones",
+        "Y": 97.9
+      },
+      {
+        "Category": "Richard Rodriguez",
+        "Y": 7
+      },
+      {
+        "Category": "Christopher Clark",
+        "Y": 63.1
+      },
+      {
+        "Category": "Christopher Lopez",
+        "Y": 33.8
+      },
+      {
+        "Category": "Susan Ramirez",
+        "Y": 43.1
+      },
+      {
+        "Category": "Steven Wilson",
+        "Y": 84.9
+      },
+      {
+        "Category": "Paul Anderson",
+        "Y": 24
+      },
+      {
+        "Category": "Joseph Rodriguez",
+        "Y": 11.9
+      },
+      {
+        "Category": "Elizabeth Wright",
+        "Y": 52.7
+      },
+      {
+        "Category": "Kimberly Jackson",
+        "Y": 75.2
+      },
+      {
+        "Category": "Betty Hernandez",
+        "Y": 77.4
+      },
+      {
+        "Category": "David King",
+        "Y": 22.3
+      },
+      {
+        "Category": "Matthew Lopez",
+        "Y": 60.1
+      },
+      {
+        "Category": "Susan Hernandez",
+        "Y": 37.8
+      },
+      {
+        "Category": "Jennifer Lee",
+        "Y": 15
+      },
+      {
+        "Category": "Richard Flores",
+        "Y": 48.9
+      },
+      {
+        "Category": "John Anderson",
+        "Y": 41.7
+      },
+      {
+        "Category": "Kimberly Wright",
+        "Y": 98.3
+      },
+      {
+        "Category": "Joseph Williams",
+        "Y": 72.2
+      },
+      {
+        "Category": "Lisa Torres",
+        "Y": 84.5
+      },
+      {
+        "Category": "Andrew Rodriguez",
+        "Y": 74.5
+      },
+      {
+        "Category": "Karen Johnson",
+        "Y": 61.1
+      },
+      {
+        "Category": "Steven Jones",
+        "Y": 87.5
+      },
+      {
+        "Category": "Joshua Ramirez",
+        "Y": 36.7
+      },
+      {
+        "Category": "Emily Martinez",
+        "Y": 15.9
+      },
+      {
+        "Category": "Robert Walker",
+        "Y": 4.8
+      },
+      {
+        "Category": "Robert Lewis",
+        "Y": 77.9
+      },
+      {
+        "Category": "Sandra Lopez",
+        "Y": 44.7
+      },
+      {
+        "Category": "Nancy Miller",
+        "Y": 57.8
+      },
+      {
+        "Category": "Christopher Sanchez",
+        "Y": 27.8
+      },
+      {
+        "Category": "Daniel Flores",
+        "Y": 39.7
+      },
+      {
+        "Category": "Mary Walker",
+        "Y": 84.4
+      },
+      {
+        "Category": "Anthony Ramirez",
+        "Y": 34.1
+      },
+      {
+        "Category": "Anthony Hill",
+        "Y": 32.8
+      },
+      {
+        "Category": "Matthew Miller",
+        "Y": 61.3
+      },
+      {
+        "Category": "Andrew King",
+        "Y": 25.1
+      },
+      {
+        "Category": "William Perez",
+        "Y": 86.2
+      },
+      {
+        "Category": "William Martinez",
+        "Y": 79.4
+      },
+      {
+        "Category": "Margaret Garcia",
+        "Y": 14.3
+      },
+      {
+        "Category": "Barbara Anderson",
+        "Y": 38.2
+      },
+      {
+        "Category": "Thomas Smith",
+        "Y": 76.2
+      },
+      {
+        "Category": "Kimberly Thomas",
+        "Y": 0.2
+      },
+      {
+        "Category": "Karen Garcia",
+        "Y": 65.1
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/scatter-plot/19-card24.flint.json b/test-harness/excel/evaluations/inputs/scatter-plot/19-card24.flint.json
new file mode 100644
index 00000000..a85cf9f4
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/scatter-plot/19-card24.flint.json
@@ -0,0 +1,148 @@
+{
+  "semantic_types": {
+    "X": "Quantity",
+    "Group": "Category",
+    "ColorVal": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Scatter Plot",
+    "encodings": {
+      "x": "X",
+      "y": "Group",
+      "color": "ColorVal"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "X": 65.4,
+        "Group": "Electronics",
+        "ColorVal": 92.7
+      },
+      {
+        "X": 41.2,
+        "Group": "Clothing",
+        "ColorVal": 65.7
+      },
+      {
+        "X": 65.6,
+        "Group": "Food",
+        "ColorVal": 66.2
+      },
+      {
+        "X": 1.3,
+        "Group": "Books",
+        "ColorVal": 80.2
+      },
+      {
+        "X": 19.4,
+        "Group": "Sports",
+        "ColorVal": 91.7
+      },
+      {
+        "X": 55.6,
+        "Group": "Electronics",
+        "ColorVal": 64.7
+      },
+      {
+        "X": 72.6,
+        "Group": "Clothing",
+        "ColorVal": 66.4
+      },
+      {
+        "X": 25.5,
+        "Group": "Food",
+        "ColorVal": 51.3
+      },
+      {
+        "X": 15.8,
+        "Group": "Books",
+        "ColorVal": 39.9
+      },
+      {
+        "X": 2.4,
+        "Group": "Sports",
+        "ColorVal": 85.4
+      },
+      {
+        "X": 65.8,
+        "Group": "Electronics",
+        "ColorVal": 55.2
+      },
+      {
+        "X": 92.4,
+        "Group": "Clothing",
+        "ColorVal": 6
+      },
+      {
+        "X": 40,
+        "Group": "Food",
+        "ColorVal": 29.5
+      },
+      {
+        "X": 13.6,
+        "Group": "Books",
+        "ColorVal": 83.9
+      },
+      {
+        "X": 87.1,
+        "Group": "Sports",
+        "ColorVal": 36.7
+      },
+      {
+        "X": 47,
+        "Group": "Electronics",
+        "ColorVal": 52.7
+      },
+      {
+        "X": 76.5,
+        "Group": "Clothing",
+        "ColorVal": 38.9
+      },
+      {
+        "X": 75.2,
+        "Group": "Food",
+        "ColorVal": 30.6
+      },
+      {
+        "X": 8.2,
+        "Group": "Books",
+        "ColorVal": 38
+      },
+      {
+        "X": 46.5,
+        "Group": "Sports",
+        "ColorVal": 48.7
+      },
+      {
+        "X": 78.7,
+        "Group": "Electronics",
+        "ColorVal": 70
+      },
+      {
+        "X": 79.9,
+        "Group": "Clothing",
+        "ColorVal": 75.3
+      },
+      {
+        "X": 25.2,
+        "Group": "Food",
+        "ColorVal": 64.7
+      },
+      {
+        "X": 25.2,
+        "Group": "Books",
+        "ColorVal": 64.9
+      },
+      {
+        "X": 0.1,
+        "Group": "Sports",
+        "ColorVal": 86.6
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/scatter-plot/20-card23.flint.json b/test-harness/excel/evaluations/inputs/scatter-plot/20-card23.flint.json
new file mode 100644
index 00000000..6005dc74
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/scatter-plot/20-card23.flint.json
@@ -0,0 +1,148 @@
+{
+  "semantic_types": {
+    "X": "Quantity",
+    "Group": "Category",
+    "Size": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Scatter Plot",
+    "encodings": {
+      "x": "X",
+      "y": "Group",
+      "size": "Size"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "X": 25.4,
+        "Group": "Electronics",
+        "Size": 20.9
+      },
+      {
+        "X": 0.4,
+        "Group": "Clothing",
+        "Size": 91
+      },
+      {
+        "X": 10.4,
+        "Group": "Food",
+        "Size": 8.3
+      },
+      {
+        "X": 81.2,
+        "Group": "Books",
+        "Size": 39.2
+      },
+      {
+        "X": 59.1,
+        "Group": "Sports",
+        "Size": 52.4
+      },
+      {
+        "X": 99.3,
+        "Group": "Electronics",
+        "Size": 16.7
+      },
+      {
+        "X": 92.7,
+        "Group": "Clothing",
+        "Size": 49.9
+      },
+      {
+        "X": 17.2,
+        "Group": "Food",
+        "Size": 34
+      },
+      {
+        "X": 99.3,
+        "Group": "Books",
+        "Size": 92.6
+      },
+      {
+        "X": 89.8,
+        "Group": "Sports",
+        "Size": 55.5
+      },
+      {
+        "X": 41.9,
+        "Group": "Electronics",
+        "Size": 73.8
+      },
+      {
+        "X": 97.9,
+        "Group": "Clothing",
+        "Size": 13.7
+      },
+      {
+        "X": 71.6,
+        "Group": "Food",
+        "Size": 62.1
+      },
+      {
+        "X": 13.8,
+        "Group": "Books",
+        "Size": 21.3
+      },
+      {
+        "X": 50.5,
+        "Group": "Sports",
+        "Size": 66.6
+      },
+      {
+        "X": 86.2,
+        "Group": "Electronics",
+        "Size": 41.2
+      },
+      {
+        "X": 19.9,
+        "Group": "Clothing",
+        "Size": 54.3
+      },
+      {
+        "X": 24.1,
+        "Group": "Food",
+        "Size": 19.6
+      },
+      {
+        "X": 40.9,
+        "Group": "Books",
+        "Size": 61.4
+      },
+      {
+        "X": 0.4,
+        "Group": "Sports",
+        "Size": 7.6
+      },
+      {
+        "X": 5.4,
+        "Group": "Electronics",
+        "Size": 25.4
+      },
+      {
+        "X": 4.7,
+        "Group": "Clothing",
+        "Size": 52.8
+      },
+      {
+        "X": 56.7,
+        "Group": "Food",
+        "Size": 72.3
+      },
+      {
+        "X": 76.2,
+        "Group": "Books",
+        "Size": 28.8
+      },
+      {
+        "X": 21.1,
+        "Group": "Sports",
+        "Size": 63.5
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/scatter-plot/21-card59.flint.json b/test-harness/excel/evaluations/inputs/scatter-plot/21-card59.flint.json
new file mode 100644
index 00000000..3257df90
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/scatter-plot/21-card59.flint.json
@@ -0,0 +1,261 @@
+{
+  "semantic_types": {
+    "X": "Quantity",
+    "Group": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Scatter Plot",
+    "encodings": {
+      "x": "X",
+      "y": "Group"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "X": 95.1,
+        "Group": "James Walker"
+      },
+      {
+        "X": 67.9,
+        "Group": "Paul Wilson"
+      },
+      {
+        "X": 28.4,
+        "Group": "Jessica Martin"
+      },
+      {
+        "X": 42.2,
+        "Group": "Christopher Moore"
+      },
+      {
+        "X": 50.4,
+        "Group": "Betty Wilson"
+      },
+      {
+        "X": 97.7,
+        "Group": "Steven Lewis"
+      },
+      {
+        "X": 35.8,
+        "Group": "Karen Lopez"
+      },
+      {
+        "X": 25.8,
+        "Group": "Sandra Wright"
+      },
+      {
+        "X": 46.5,
+        "Group": "Daniel King"
+      },
+      {
+        "X": 89.6,
+        "Group": "Mark Taylor"
+      },
+      {
+        "X": 82.7,
+        "Group": "Sandra Thomas"
+      },
+      {
+        "X": 99.5,
+        "Group": "Karen Rodriguez"
+      },
+      {
+        "X": 54.1,
+        "Group": "Patricia Jackson"
+      },
+      {
+        "X": 77.1,
+        "Group": "Donna Hill"
+      },
+      {
+        "X": 97.7,
+        "Group": "Donna White"
+      },
+      {
+        "X": 24,
+        "Group": "Michael Brown"
+      },
+      {
+        "X": 27.4,
+        "Group": "Elizabeth Robinson"
+      },
+      {
+        "X": 43.3,
+        "Group": "Mary Jones"
+      },
+      {
+        "X": 58.5,
+        "Group": "Richard Rodriguez"
+      },
+      {
+        "X": 11.1,
+        "Group": "Christopher Clark"
+      },
+      {
+        "X": 18.3,
+        "Group": "Christopher Lopez"
+      },
+      {
+        "X": 65.6,
+        "Group": "Susan Ramirez"
+      },
+      {
+        "X": 24.3,
+        "Group": "Steven Wilson"
+      },
+      {
+        "X": 13.9,
+        "Group": "Paul Anderson"
+      },
+      {
+        "X": 31.7,
+        "Group": "Joseph Rodriguez"
+      },
+      {
+        "X": 8.9,
+        "Group": "Elizabeth Wright"
+      },
+      {
+        "X": 88.6,
+        "Group": "Kimberly Jackson"
+      },
+      {
+        "X": 33.6,
+        "Group": "Betty Hernandez"
+      },
+      {
+        "X": 46.4,
+        "Group": "David King"
+      },
+      {
+        "X": 6.7,
+        "Group": "Matthew Lopez"
+      },
+      {
+        "X": 1.1,
+        "Group": "Susan Hernandez"
+      },
+      {
+        "X": 51.1,
+        "Group": "Jennifer Lee"
+      },
+      {
+        "X": 41,
+        "Group": "Richard Flores"
+      },
+      {
+        "X": 38.5,
+        "Group": "John Anderson"
+      },
+      {
+        "X": 15.9,
+        "Group": "Kimberly Wright"
+      },
+      {
+        "X": 71.2,
+        "Group": "Joseph Williams"
+      },
+      {
+        "X": 74.3,
+        "Group": "Lisa Torres"
+      },
+      {
+        "X": 55.1,
+        "Group": "Andrew Rodriguez"
+      },
+      {
+        "X": 6.9,
+        "Group": "Karen Johnson"
+      },
+      {
+        "X": 32.9,
+        "Group": "Steven Jones"
+      },
+      {
+        "X": 28.1,
+        "Group": "Joshua Ramirez"
+      },
+      {
+        "X": 3.8,
+        "Group": "Emily Martinez"
+      },
+      {
+        "X": 25.1,
+        "Group": "Robert Walker"
+      },
+      {
+        "X": 31,
+        "Group": "Robert Lewis"
+      },
+      {
+        "X": 29.8,
+        "Group": "Sandra Lopez"
+      },
+      {
+        "X": 92,
+        "Group": "Nancy Miller"
+      },
+      {
+        "X": 10.6,
+        "Group": "Christopher Sanchez"
+      },
+      {
+        "X": 87.9,
+        "Group": "Daniel Flores"
+      },
+      {
+        "X": 80.4,
+        "Group": "Mary Walker"
+      },
+      {
+        "X": 22.1,
+        "Group": "Anthony Ramirez"
+      },
+      {
+        "X": 24.8,
+        "Group": "Anthony Hill"
+      },
+      {
+        "X": 92.2,
+        "Group": "Matthew Miller"
+      },
+      {
+        "X": 9.2,
+        "Group": "Andrew King"
+      },
+      {
+        "X": 41.4,
+        "Group": "William Perez"
+      },
+      {
+        "X": 10.3,
+        "Group": "William Martinez"
+      },
+      {
+        "X": 37.4,
+        "Group": "Margaret Garcia"
+      },
+      {
+        "X": 74.4,
+        "Group": "Barbara Anderson"
+      },
+      {
+        "X": 94.8,
+        "Group": "Thomas Smith"
+      },
+      {
+        "X": 47.2,
+        "Group": "Kimberly Thomas"
+      },
+      {
+        "X": 37.6,
+        "Group": "Karen Garcia"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/scatter-plot/22-card5.flint.json b/test-harness/excel/evaluations/inputs/scatter-plot/22-card5.flint.json
new file mode 100644
index 00000000..001853dc
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/scatter-plot/22-card5.flint.json
@@ -0,0 +1,123 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Group": "Category",
+    "Size": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Scatter Plot",
+    "encodings": {
+      "x": "Category",
+      "y": "Group",
+      "size": "Size"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Category": "Electronics",
+        "Group": "China",
+        "Size": 681
+      },
+      {
+        "Category": "Electronics",
+        "Group": "Japan",
+        "Size": 802
+      },
+      {
+        "Category": "Electronics",
+        "Group": "Germany",
+        "Size": 852
+      },
+      {
+        "Category": "Electronics",
+        "Group": "UK",
+        "Size": 860
+      },
+      {
+        "Category": "Clothing",
+        "Group": "USA",
+        "Size": 510
+      },
+      {
+        "Category": "Clothing",
+        "Group": "China",
+        "Size": 508
+      },
+      {
+        "Category": "Clothing",
+        "Group": "Japan",
+        "Size": 778
+      },
+      {
+        "Category": "Clothing",
+        "Group": "Germany",
+        "Size": 908
+      },
+      {
+        "Category": "Clothing",
+        "Group": "UK",
+        "Size": 189
+      },
+      {
+        "Category": "Clothing",
+        "Group": "France",
+        "Size": 744
+      },
+      {
+        "Category": "Food",
+        "Group": "Japan",
+        "Size": 728
+      },
+      {
+        "Category": "Food",
+        "Group": "Germany",
+        "Size": 472
+      },
+      {
+        "Category": "Food",
+        "Group": "UK",
+        "Size": 343
+      },
+      {
+        "Category": "Books",
+        "Group": "USA",
+        "Size": 296
+      },
+      {
+        "Category": "Books",
+        "Group": "Germany",
+        "Size": 324
+      },
+      {
+        "Category": "Books",
+        "Group": "UK",
+        "Size": 510
+      },
+      {
+        "Category": "Books",
+        "Group": "France",
+        "Size": 898
+      },
+      {
+        "Category": "Sports",
+        "Group": "China",
+        "Size": 238
+      },
+      {
+        "Category": "Sports",
+        "Group": "Japan",
+        "Size": 160
+      },
+      {
+        "Category": "Sports",
+        "Group": "France",
+        "Size": 996
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/scatter-plot/23-card4.flint.json b/test-harness/excel/evaluations/inputs/scatter-plot/23-card4.flint.json
new file mode 100644
index 00000000..ffc4e3e8
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/scatter-plot/23-card4.flint.json
@@ -0,0 +1,78 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Group": "Category",
+    "ColorVal": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Scatter Plot",
+    "encodings": {
+      "x": "Category",
+      "y": "Group",
+      "color": "ColorVal"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Category": "Electronics",
+        "Group": "USA",
+        "ColorVal": 948
+      },
+      {
+        "Category": "Electronics",
+        "Group": "Japan",
+        "ColorVal": 109
+      },
+      {
+        "Category": "Clothing",
+        "Group": "China",
+        "ColorVal": 459
+      },
+      {
+        "Category": "Clothing",
+        "Group": "Japan",
+        "ColorVal": 385
+      },
+      {
+        "Category": "Clothing",
+        "Group": "Germany",
+        "ColorVal": 901
+      },
+      {
+        "Category": "Books",
+        "Group": "USA",
+        "ColorVal": 974
+      },
+      {
+        "Category": "Books",
+        "Group": "China",
+        "ColorVal": 678
+      },
+      {
+        "Category": "Books",
+        "Group": "Japan",
+        "ColorVal": 193
+      },
+      {
+        "Category": "Books",
+        "Group": "Germany",
+        "ColorVal": 992
+      },
+      {
+        "Category": "Sports",
+        "Group": "USA",
+        "ColorVal": 892
+      },
+      {
+        "Category": "Sports",
+        "Group": "Germany",
+        "ColorVal": 776
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/scatter-plot/24-card15.flint.json b/test-harness/excel/evaluations/inputs/scatter-plot/24-card15.flint.json
new file mode 100644
index 00000000..f36b61a9
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/scatter-plot/24-card15.flint.json
@@ -0,0 +1,688 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Group": "Category",
+    "Size": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Scatter Plot",
+    "encodings": {
+      "x": "Category",
+      "y": "Group",
+      "size": "Size"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Category": "Electronics",
+        "Group": "USA",
+        "Size": 877
+      },
+      {
+        "Category": "Electronics",
+        "Group": "Japan",
+        "Size": 702
+      },
+      {
+        "Category": "Electronics",
+        "Group": "Germany",
+        "Size": 376
+      },
+      {
+        "Category": "Electronics",
+        "Group": "UK",
+        "Size": 465
+      },
+      {
+        "Category": "Electronics",
+        "Group": "France",
+        "Size": 239
+      },
+      {
+        "Category": "Electronics",
+        "Group": "Brazil",
+        "Size": 372
+      },
+      {
+        "Category": "Electronics",
+        "Group": "Australia",
+        "Size": 565
+      },
+      {
+        "Category": "Electronics",
+        "Group": "Mexico",
+        "Size": 587
+      },
+      {
+        "Category": "Clothing",
+        "Group": "USA",
+        "Size": 325
+      },
+      {
+        "Category": "Clothing",
+        "Group": "China",
+        "Size": 251
+      },
+      {
+        "Category": "Clothing",
+        "Group": "Japan",
+        "Size": 529
+      },
+      {
+        "Category": "Clothing",
+        "Group": "France",
+        "Size": 558
+      },
+      {
+        "Category": "Clothing",
+        "Group": "India",
+        "Size": 681
+      },
+      {
+        "Category": "Clothing",
+        "Group": "Brazil",
+        "Size": 327
+      },
+      {
+        "Category": "Clothing",
+        "Group": "Canada",
+        "Size": 484
+      },
+      {
+        "Category": "Clothing",
+        "Group": "Australia",
+        "Size": 815
+      },
+      {
+        "Category": "Clothing",
+        "Group": "South Korea",
+        "Size": 856
+      },
+      {
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+        "Group": "Mexico",
+        "Size": 152
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+      {
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+        "Group": "USA",
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+      {
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+        "Group": "Japan",
+        "Size": 970
+      },
+      {
+        "Category": "Food",
+        "Group": "Australia",
+        "Size": 457
+      },
+      {
+        "Category": "Food",
+        "Group": "South Korea",
+        "Size": 263
+      },
+      {
+        "Category": "Food",
+        "Group": "Mexico",
+        "Size": 634
+      },
+      {
+        "Category": "Books",
+        "Group": "USA",
+        "Size": 760
+      },
+      {
+        "Category": "Books",
+        "Group": "China",
+        "Size": 207
+      },
+      {
+        "Category": "Books",
+        "Group": "Japan",
+        "Size": 691
+      },
+      {
+        "Category": "Books",
+        "Group": "Germany",
+        "Size": 515
+      },
+      {
+        "Category": "Books",
+        "Group": "UK",
+        "Size": 668
+      },
+      {
+        "Category": "Books",
+        "Group": "France",
+        "Size": 401
+      },
+      {
+        "Category": "Books",
+        "Group": "Brazil",
+        "Size": 506
+      },
+      {
+        "Category": "Books",
+        "Group": "Canada",
+        "Size": 682
+      },
+      {
+        "Category": "Books",
+        "Group": "Australia",
+        "Size": 220
+      },
+      {
+        "Category": "Books",
+        "Group": "South Korea",
+        "Size": 118
+      },
+      {
+        "Category": "Books",
+        "Group": "Mexico",
+        "Size": 205
+      },
+      {
+        "Category": "Sports",
+        "Group": "USA",
+        "Size": 788
+      },
+      {
+        "Category": "Sports",
+        "Group": "China",
+        "Size": 694
+      },
+      {
+        "Category": "Sports",
+        "Group": "Japan",
+        "Size": 323
+      },
+      {
+        "Category": "Sports",
+        "Group": "Germany",
+        "Size": 442
+      },
+      {
+        "Category": "Sports",
+        "Group": "UK",
+        "Size": 181
+      },
+      {
+        "Category": "Sports",
+        "Group": "India",
+        "Size": 301
+      },
+      {
+        "Category": "Sports",
+        "Group": "Brazil",
+        "Size": 960
+      },
+      {
+        "Category": "Sports",
+        "Group": "Canada",
+        "Size": 613
+      },
+      {
+        "Category": "Sports",
+        "Group": "Australia",
+        "Size": 949
+      },
+      {
+        "Category": "Sports",
+        "Group": "South Korea",
+        "Size": 940
+      },
+      {
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+        "Group": "Mexico",
+        "Size": 549
+      },
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+        "Group": "China",
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+      },
+      {
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+        "Group": "UK",
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+      },
+      {
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+        "Group": "France",
+        "Size": 482
+      },
+      {
+        "Category": "Home",
+        "Group": "Canada",
+        "Size": 501
+      },
+      {
+        "Category": "Home",
+        "Group": "Australia",
+        "Size": 501
+      },
+      {
+        "Category": "Home",
+        "Group": "South Korea",
+        "Size": 535
+      },
+      {
+        "Category": "Home",
+        "Group": "Mexico",
+        "Size": 804
+      },
+      {
+        "Category": "Garden",
+        "Group": "China",
+        "Size": 142
+      },
+      {
+        "Category": "Garden",
+        "Group": "Japan",
+        "Size": 250
+      },
+      {
+        "Category": "Garden",
+        "Group": "Germany",
+        "Size": 392
+      },
+      {
+        "Category": "Garden",
+        "Group": "UK",
+        "Size": 158
+      },
+      {
+        "Category": "Garden",
+        "Group": "Canada",
+        "Size": 343
+      },
+      {
+        "Category": "Garden",
+        "Group": "Australia",
+        "Size": 193
+      },
+      {
+        "Category": "Garden",
+        "Group": "South Korea",
+        "Size": 815
+      },
+      {
+        "Category": "Garden",
+        "Group": "Mexico",
+        "Size": 324
+      },
+      {
+        "Category": "Auto",
+        "Group": "USA",
+        "Size": 167
+      },
+      {
+        "Category": "Auto",
+        "Group": "China",
+        "Size": 355
+      },
+      {
+        "Category": "Auto",
+        "Group": "Germany",
+        "Size": 742
+      },
+      {
+        "Category": "Auto",
+        "Group": "UK",
+        "Size": 163
+      },
+      {
+        "Category": "Auto",
+        "Group": "France",
+        "Size": 524
+      },
+      {
+        "Category": "Auto",
+        "Group": "India",
+        "Size": 912
+      },
+      {
+        "Category": "Auto",
+        "Group": "Brazil",
+        "Size": 376
+      },
+      {
+        "Category": "Auto",
+        "Group": "Canada",
+        "Size": 984
+      },
+      {
+        "Category": "Auto",
+        "Group": "South Korea",
+        "Size": 668
+      },
+      {
+        "Category": "Health",
+        "Group": "China",
+        "Size": 192
+      },
+      {
+        "Category": "Health",
+        "Group": "Germany",
+        "Size": 465
+      },
+      {
+        "Category": "Health",
+        "Group": "UK",
+        "Size": 639
+      },
+      {
+        "Category": "Health",
+        "Group": "France",
+        "Size": 797
+      },
+      {
+        "Category": "Health",
+        "Group": "Brazil",
+        "Size": 230
+      },
+      {
+        "Category": "Health",
+        "Group": "Canada",
+        "Size": 696
+      },
+      {
+        "Category": "Health",
+        "Group": "Australia",
+        "Size": 314
+      },
+      {
+        "Category": "Health",
+        "Group": "Mexico",
+        "Size": 770
+      },
+      {
+        "Category": "Beauty",
+        "Group": "USA",
+        "Size": 326
+      },
+      {
+        "Category": "Beauty",
+        "Group": "Japan",
+        "Size": 393
+      },
+      {
+        "Category": "Beauty",
+        "Group": "UK",
+        "Size": 739
+      },
+      {
+        "Category": "Beauty",
+        "Group": "France",
+        "Size": 109
+      },
+      {
+        "Category": "Beauty",
+        "Group": "Brazil",
+        "Size": 600
+      },
+      {
+        "Category": "Beauty",
+        "Group": "Canada",
+        "Size": 640
+      },
+      {
+        "Category": "Beauty",
+        "Group": "Australia",
+        "Size": 170
+      },
+      {
+        "Category": "Beauty",
+        "Group": "South Korea",
+        "Size": 912
+      },
+      {
+        "Category": "Beauty",
+        "Group": "Mexico",
+        "Size": 341
+      },
+      {
+        "Category": "Toys",
+        "Group": "USA",
+        "Size": 886
+      },
+      {
+        "Category": "Toys",
+        "Group": "China",
+        "Size": 683
+      },
+      {
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+        "Group": "UK",
+        "Size": 513
+      },
+      {
+        "Category": "Toys",
+        "Group": "India",
+        "Size": 319
+      },
+      {
+        "Category": "Toys",
+        "Group": "Brazil",
+        "Size": 396
+      },
+      {
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+        "Group": "Canada",
+        "Size": 722
+      },
+      {
+        "Category": "Toys",
+        "Group": "Australia",
+        "Size": 910
+      },
+      {
+        "Category": "Music",
+        "Group": "USA",
+        "Size": 820
+      },
+      {
+        "Category": "Music",
+        "Group": "China",
+        "Size": 674
+      },
+      {
+        "Category": "Music",
+        "Group": "Japan",
+        "Size": 568
+      },
+      {
+        "Category": "Music",
+        "Group": "Germany",
+        "Size": 990
+      },
+      {
+        "Category": "Music",
+        "Group": "UK",
+        "Size": 885
+      },
+      {
+        "Category": "Music",
+        "Group": "India",
+        "Size": 625
+      },
+      {
+        "Category": "Music",
+        "Group": "Brazil",
+        "Size": 682
+      },
+      {
+        "Category": "Music",
+        "Group": "Canada",
+        "Size": 185
+      },
+      {
+        "Category": "Music",
+        "Group": "Australia",
+        "Size": 109
+      },
+      {
+        "Category": "Music",
+        "Group": "Mexico",
+        "Size": 663
+      },
+      {
+        "Category": "Movies",
+        "Group": "USA",
+        "Size": 420
+      },
+      {
+        "Category": "Movies",
+        "Group": "China",
+        "Size": 203
+      },
+      {
+        "Category": "Movies",
+        "Group": "Japan",
+        "Size": 735
+      },
+      {
+        "Category": "Movies",
+        "Group": "Germany",
+        "Size": 508
+      },
+      {
+        "Category": "Movies",
+        "Group": "UK",
+        "Size": 385
+      },
+      {
+        "Category": "Movies",
+        "Group": "France",
+        "Size": 160
+      },
+      {
+        "Category": "Movies",
+        "Group": "India",
+        "Size": 340
+      },
+      {
+        "Category": "Movies",
+        "Group": "Brazil",
+        "Size": 706
+      },
+      {
+        "Category": "Movies",
+        "Group": "Canada",
+        "Size": 520
+      },
+      {
+        "Category": "Movies",
+        "Group": "Australia",
+        "Size": 817
+      },
+      {
+        "Category": "Movies",
+        "Group": "South Korea",
+        "Size": 527
+      },
+      {
+        "Category": "Movies",
+        "Group": "Mexico",
+        "Size": 433
+      },
+      {
+        "Category": "Software",
+        "Group": "USA",
+        "Size": 376
+      },
+      {
+        "Category": "Software",
+        "Group": "Germany",
+        "Size": 375
+      },
+      {
+        "Category": "Software",
+        "Group": "UK",
+        "Size": 998
+      },
+      {
+        "Category": "Software",
+        "Group": "France",
+        "Size": 662
+      },
+      {
+        "Category": "Software",
+        "Group": "India",
+        "Size": 974
+      },
+      {
+        "Category": "Software",
+        "Group": "Brazil",
+        "Size": 245
+      },
+      {
+        "Category": "Software",
+        "Group": "Canada",
+        "Size": 564
+      },
+      {
+        "Category": "Software",
+        "Group": "Australia",
+        "Size": 761
+      },
+      {
+        "Category": "Software",
+        "Group": "South Korea",
+        "Size": 518
+      },
+      {
+        "Category": "Games",
+        "Group": "China",
+        "Size": 922
+      },
+      {
+        "Category": "Games",
+        "Group": "Japan",
+        "Size": 637
+      },
+      {
+        "Category": "Games",
+        "Group": "Germany",
+        "Size": 619
+      },
+      {
+        "Category": "Games",
+        "Group": "UK",
+        "Size": 335
+      },
+      {
+        "Category": "Games",
+        "Group": "France",
+        "Size": 311
+      },
+      {
+        "Category": "Games",
+        "Group": "India",
+        "Size": 501
+      },
+      {
+        "Category": "Games",
+        "Group": "Brazil",
+        "Size": 364
+      },
+      {
+        "Category": "Games",
+        "Group": "Australia",
+        "Size": 280
+      },
+      {
+        "Category": "Games",
+        "Group": "South Korea",
+        "Size": 289
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/scatter-plot/25-card40.flint.json b/test-harness/excel/evaluations/inputs/scatter-plot/25-card40.flint.json
new file mode 100644
index 00000000..0e40a8ea
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/scatter-plot/25-card40.flint.json
@@ -0,0 +1,223 @@
+{
+  "semantic_types": {
+    "X": "Quantity",
+    "Y": "Quantity",
+    "Group": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Scatter Plot",
+    "encodings": {
+      "x": "X",
+      "y": "Y",
+      "shape": "Group"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "X": 77.2,
+        "Y": 46.1,
+        "Group": "Electronics"
+      },
+      {
+        "X": 71,
+        "Y": 32.1,
+        "Group": "Clothing"
+      },
+      {
+        "X": 92.6,
+        "Y": 10.1,
+        "Group": "Food"
+      },
+      {
+        "X": 0.5,
+        "Y": 1.9,
+        "Group": "Books"
+      },
+      {
+        "X": 66.1,
+        "Y": 66.1,
+        "Group": "Electronics"
+      },
+      {
+        "X": 6.4,
+        "Y": 60,
+        "Group": "Clothing"
+      },
+      {
+        "X": 15.8,
+        "Y": 69.4,
+        "Group": "Food"
+      },
+      {
+        "X": 2.1,
+        "Y": 21.6,
+        "Group": "Books"
+      },
+      {
+        "X": 66.5,
+        "Y": 60.8,
+        "Group": "Electronics"
+      },
+      {
+        "X": 61.3,
+        "Y": 61.1,
+        "Group": "Clothing"
+      },
+      {
+        "X": 1.9,
+        "Y": 3,
+        "Group": "Food"
+      },
+      {
+        "X": 54.3,
+        "Y": 65.6,
+        "Group": "Books"
+      },
+      {
+        "X": 48,
+        "Y": 82.6,
+        "Group": "Electronics"
+      },
+      {
+        "X": 45.7,
+        "Y": 7.7,
+        "Group": "Clothing"
+      },
+      {
+        "X": 8,
+        "Y": 95,
+        "Group": "Food"
+      },
+      {
+        "X": 35.3,
+        "Y": 90.8,
+        "Group": "Books"
+      },
+      {
+        "X": 40.1,
+        "Y": 16.6,
+        "Group": "Electronics"
+      },
+      {
+        "X": 78.6,
+        "Y": 59.4,
+        "Group": "Clothing"
+      },
+      {
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+        "Y": 91,
+        "Group": "Food"
+      },
+      {
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+        "Y": 19.9,
+        "Group": "Books"
+      },
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+        "Y": 33.7,
+        "Group": "Electronics"
+      },
+      {
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+        "Y": 32.1,
+        "Group": "Clothing"
+      },
+      {
+        "X": 53.7,
+        "Y": 93.8,
+        "Group": "Food"
+      },
+      {
+        "X": 98.2,
+        "Y": 10.6,
+        "Group": "Books"
+      },
+      {
+        "X": 96.2,
+        "Y": 25.6,
+        "Group": "Electronics"
+      },
+      {
+        "X": 94.2,
+        "Y": 37.3,
+        "Group": "Clothing"
+      },
+      {
+        "X": 66.2,
+        "Y": 85.8,
+        "Group": "Food"
+      },
+      {
+        "X": 33.9,
+        "Y": 33.4,
+        "Group": "Books"
+      },
+      {
+        "X": 97.3,
+        "Y": 93.5,
+        "Group": "Electronics"
+      },
+      {
+        "X": 89.1,
+        "Y": 26.5,
+        "Group": "Clothing"
+      },
+      {
+        "X": 94.7,
+        "Y": 53.5,
+        "Group": "Food"
+      },
+      {
+        "X": 10.8,
+        "Y": 44.1,
+        "Group": "Books"
+      },
+      {
+        "X": 16.4,
+        "Y": 49.8,
+        "Group": "Electronics"
+      },
+      {
+        "X": 73.6,
+        "Y": 66.3,
+        "Group": "Clothing"
+      },
+      {
+        "X": 17.6,
+        "Y": 5.7,
+        "Group": "Food"
+      },
+      {
+        "X": 12.2,
+        "Y": 52,
+        "Group": "Books"
+      },
+      {
+        "X": 92.7,
+        "Y": 39.5,
+        "Group": "Electronics"
+      },
+      {
+        "X": 61.5,
+        "Y": 70,
+        "Group": "Clothing"
+      },
+      {
+        "X": 60.8,
+        "Y": 59.7,
+        "Group": "Food"
+      },
+      {
+        "X": 23.7,
+        "Y": 10.9,
+        "Group": "Books"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/stacked-bar-chart/00-card4.flint.json b/test-harness/excel/evaluations/inputs/stacked-bar-chart/00-card4.flint.json
new file mode 100644
index 00000000..a89a6522
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/stacked-bar-chart/00-card4.flint.json
@@ -0,0 +1,83 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Value": "Quantity",
+    "Segment": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Stacked Bar Chart",
+    "encodings": {
+      "x": "Category",
+      "y": "Value",
+      "color": "Segment"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Category": "Laptop",
+        "Value": 12,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Laptop",
+        "Value": 314,
+        "Segment": "China"
+      },
+      {
+        "Category": "Laptop",
+        "Value": 130,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Phone",
+        "Value": 733,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Phone",
+        "Value": 558,
+        "Segment": "China"
+      },
+      {
+        "Category": "Phone",
+        "Value": 794,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Tablet",
+        "Value": 415,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Tablet",
+        "Value": 775,
+        "Segment": "China"
+      },
+      {
+        "Category": "Tablet",
+        "Value": 861,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Desktop",
+        "Value": 939,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Desktop",
+        "Value": 703,
+        "Segment": "China"
+      },
+      {
+        "Category": "Desktop",
+        "Value": 884,
+        "Segment": "Japan"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/stacked-bar-chart/01-card15.flint.json b/test-harness/excel/evaluations/inputs/stacked-bar-chart/01-card15.flint.json
new file mode 100644
index 00000000..2fce7d56
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/stacked-bar-chart/01-card15.flint.json
@@ -0,0 +1,398 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Value": "Quantity",
+    "Segment": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Stacked Bar Chart",
+    "encodings": {
+      "x": "Category",
+      "y": "Value",
+      "color": "Segment"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Category": "Laptop",
+        "Value": 201,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Laptop",
+        "Value": 915,
+        "Segment": "China"
+      },
+      {
+        "Category": "Laptop",
+        "Value": 695,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Laptop",
+        "Value": 941,
+        "Segment": "Germany"
+      },
+      {
+        "Category": "Laptop",
+        "Value": 238,
+        "Segment": "UK"
+      },
+      {
+        "Category": "Phone",
+        "Value": 544,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Phone",
+        "Value": 686,
+        "Segment": "China"
+      },
+      {
+        "Category": "Phone",
+        "Value": 375,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Phone",
+        "Value": 502,
+        "Segment": "Germany"
+      },
+      {
+        "Category": "Phone",
+        "Value": 361,
+        "Segment": "UK"
+      },
+      {
+        "Category": "Tablet",
+        "Value": 797,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Tablet",
+        "Value": 96,
+        "Segment": "China"
+      },
+      {
+        "Category": "Tablet",
+        "Value": 241,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Tablet",
+        "Value": 392,
+        "Segment": "Germany"
+      },
+      {
+        "Category": "Tablet",
+        "Value": 399,
+        "Segment": "UK"
+      },
+      {
+        "Category": "Desktop",
+        "Value": 786,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Desktop",
+        "Value": 208,
+        "Segment": "China"
+      },
+      {
+        "Category": "Desktop",
+        "Value": 246,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Desktop",
+        "Value": 74,
+        "Segment": "Germany"
+      },
+      {
+        "Category": "Desktop",
+        "Value": 445,
+        "Segment": "UK"
+      },
+      {
+        "Category": "Monitor",
+        "Value": 496,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Monitor",
+        "Value": 498,
+        "Segment": "China"
+      },
+      {
+        "Category": "Monitor",
+        "Value": 224,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Monitor",
+        "Value": 650,
+        "Segment": "Germany"
+      },
+      {
+        "Category": "Monitor",
+        "Value": 532,
+        "Segment": "UK"
+      },
+      {
+        "Category": "Keyboard",
+        "Value": 289,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Keyboard",
+        "Value": 215,
+        "Segment": "China"
+      },
+      {
+        "Category": "Keyboard",
+        "Value": 77,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Keyboard",
+        "Value": 414,
+        "Segment": "Germany"
+      },
+      {
+        "Category": "Keyboard",
+        "Value": 515,
+        "Segment": "UK"
+      },
+      {
+        "Category": "Mouse",
+        "Value": 537,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Mouse",
+        "Value": 674,
+        "Segment": "China"
+      },
+      {
+        "Category": "Mouse",
+        "Value": 311,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Mouse",
+        "Value": 542,
+        "Segment": "Germany"
+      },
+      {
+        "Category": "Mouse",
+        "Value": 334,
+        "Segment": "UK"
+      },
+      {
+        "Category": "Headphones",
+        "Value": 942,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Headphones",
+        "Value": 547,
+        "Segment": "China"
+      },
+      {
+        "Category": "Headphones",
+        "Value": 289,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Headphones",
+        "Value": 306,
+        "Segment": "Germany"
+      },
+      {
+        "Category": "Headphones",
+        "Value": 551,
+        "Segment": "UK"
+      },
+      {
+        "Category": "Speaker",
+        "Value": 559,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Speaker",
+        "Value": 982,
+        "Segment": "China"
+      },
+      {
+        "Category": "Speaker",
+        "Value": 854,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Speaker",
+        "Value": 308,
+        "Segment": "Germany"
+      },
+      {
+        "Category": "Speaker",
+        "Value": 310,
+        "Segment": "UK"
+      },
+      {
+        "Category": "Camera",
+        "Value": 536,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Camera",
+        "Value": 843,
+        "Segment": "China"
+      },
+      {
+        "Category": "Camera",
+        "Value": 122,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Camera",
+        "Value": 931,
+        "Segment": "Germany"
+      },
+      {
+        "Category": "Camera",
+        "Value": 906,
+        "Segment": "UK"
+      },
+      {
+        "Category": "TV",
+        "Value": 266,
+        "Segment": "USA"
+      },
+      {
+        "Category": "TV",
+        "Value": 809,
+        "Segment": "China"
+      },
+      {
+        "Category": "TV",
+        "Value": 335,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "TV",
+        "Value": 797,
+        "Segment": "Germany"
+      },
+      {
+        "Category": "TV",
+        "Value": 237,
+        "Segment": "UK"
+      },
+      {
+        "Category": "Router",
+        "Value": 155,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Router",
+        "Value": 557,
+        "Segment": "China"
+      },
+      {
+        "Category": "Router",
+        "Value": 752,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Router",
+        "Value": 150,
+        "Segment": "Germany"
+      },
+      {
+        "Category": "Router",
+        "Value": 830,
+        "Segment": "UK"
+      },
+      {
+        "Category": "Printer",
+        "Value": 422,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Printer",
+        "Value": 766,
+        "Segment": "China"
+      },
+      {
+        "Category": "Printer",
+        "Value": 950,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Printer",
+        "Value": 890,
+        "Segment": "Germany"
+      },
+      {
+        "Category": "Printer",
+        "Value": 204,
+        "Segment": "UK"
+      },
+      {
+        "Category": "Scanner",
+        "Value": 27,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Scanner",
+        "Value": 310,
+        "Segment": "China"
+      },
+      {
+        "Category": "Scanner",
+        "Value": 51,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Scanner",
+        "Value": 568,
+        "Segment": "Germany"
+      },
+      {
+        "Category": "Scanner",
+        "Value": 82,
+        "Segment": "UK"
+      },
+      {
+        "Category": "SSD",
+        "Value": 182,
+        "Segment": "USA"
+      },
+      {
+        "Category": "SSD",
+        "Value": 694,
+        "Segment": "China"
+      },
+      {
+        "Category": "SSD",
+        "Value": 653,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "SSD",
+        "Value": 910,
+        "Segment": "Germany"
+      },
+      {
+        "Category": "SSD",
+        "Value": 252,
+        "Segment": "UK"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/stacked-bar-chart/02-card80.flint.json b/test-harness/excel/evaluations/inputs/stacked-bar-chart/02-card80.flint.json
new file mode 100644
index 00000000..dc732429
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/stacked-bar-chart/02-card80.flint.json
@@ -0,0 +1,1223 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Value": "Quantity",
+    "Segment": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Stacked Bar Chart",
+    "encodings": {
+      "x": "Category",
+      "y": "Value",
+      "color": "Segment"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Category": "James Walker",
+        "Value": 92,
+        "Segment": "USA"
+      },
+      {
+        "Category": "James Walker",
+        "Value": 893,
+        "Segment": "China"
+      },
+      {
+        "Category": "James Walker",
+        "Value": 717,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Paul Wilson",
+        "Value": 643,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Paul Wilson",
+        "Value": 272,
+        "Segment": "China"
+      },
+      {
+        "Category": "Paul Wilson",
+        "Value": 211,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Jessica Martin",
+        "Value": 658,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Jessica Martin",
+        "Value": 230,
+        "Segment": "China"
+      },
+      {
+        "Category": "Jessica Martin",
+        "Value": 204,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Christopher Moore",
+        "Value": 422,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Christopher Moore",
+        "Value": 309,
+        "Segment": "China"
+      },
+      {
+        "Category": "Christopher Moore",
+        "Value": 865,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Betty Wilson",
+        "Value": 88,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Betty Wilson",
+        "Value": 466,
+        "Segment": "China"
+      },
+      {
+        "Category": "Betty Wilson",
+        "Value": 588,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Steven Lewis",
+        "Value": 448,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Steven Lewis",
+        "Value": 669,
+        "Segment": "China"
+      },
+      {
+        "Category": "Steven Lewis",
+        "Value": 747,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Karen Lopez",
+        "Value": 338,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Karen Lopez",
+        "Value": 486,
+        "Segment": "China"
+      },
+      {
+        "Category": "Karen Lopez",
+        "Value": 615,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Sandra Wright",
+        "Value": 891,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Sandra Wright",
+        "Value": 699,
+        "Segment": "China"
+      },
+      {
+        "Category": "Sandra Wright",
+        "Value": 81,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Daniel King",
+        "Value": 662,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Daniel King",
+        "Value": 918,
+        "Segment": "China"
+      },
+      {
+        "Category": "Daniel King",
+        "Value": 156,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Mark Taylor",
+        "Value": 970,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Mark Taylor",
+        "Value": 414,
+        "Segment": "China"
+      },
+      {
+        "Category": "Mark Taylor",
+        "Value": 954,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Sandra Thomas",
+        "Value": 555,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Sandra Thomas",
+        "Value": 943,
+        "Segment": "China"
+      },
+      {
+        "Category": "Sandra Thomas",
+        "Value": 95,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Karen Rodriguez",
+        "Value": 206,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Karen Rodriguez",
+        "Value": 918,
+        "Segment": "China"
+      },
+      {
+        "Category": "Karen Rodriguez",
+        "Value": 604,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Patricia Jackson",
+        "Value": 860,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Patricia Jackson",
+        "Value": 382,
+        "Segment": "China"
+      },
+      {
+        "Category": "Patricia Jackson",
+        "Value": 964,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Donna Hill",
+        "Value": 584,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Donna Hill",
+        "Value": 982,
+        "Segment": "China"
+      },
+      {
+        "Category": "Donna Hill",
+        "Value": 187,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Donna White",
+        "Value": 513,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Donna White",
+        "Value": 404,
+        "Segment": "China"
+      },
+      {
+        "Category": "Donna White",
+        "Value": 418,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Michael Brown",
+        "Value": 76,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Michael Brown",
+        "Value": 277,
+        "Segment": "China"
+      },
+      {
+        "Category": "Michael Brown",
+        "Value": 171,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Elizabeth Robinson",
+        "Value": 550,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Elizabeth Robinson",
+        "Value": 949,
+        "Segment": "China"
+      },
+      {
+        "Category": "Elizabeth Robinson",
+        "Value": 512,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Mary Jones",
+        "Value": 443,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Mary Jones",
+        "Value": 124,
+        "Segment": "China"
+      },
+      {
+        "Category": "Mary Jones",
+        "Value": 32,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Richard Rodriguez",
+        "Value": 91,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Richard Rodriguez",
+        "Value": 237,
+        "Segment": "China"
+      },
+      {
+        "Category": "Richard Rodriguez",
+        "Value": 634,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Christopher Clark",
+        "Value": 664,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Christopher Clark",
+        "Value": 756,
+        "Segment": "China"
+      },
+      {
+        "Category": "Christopher Clark",
+        "Value": 370,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Christopher Lopez",
+        "Value": 980,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Christopher Lopez",
+        "Value": 431,
+        "Segment": "China"
+      },
+      {
+        "Category": "Christopher Lopez",
+        "Value": 706,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Susan Ramirez",
+        "Value": 808,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Susan Ramirez",
+        "Value": 227,
+        "Segment": "China"
+      },
+      {
+        "Category": "Susan Ramirez",
+        "Value": 214,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Steven Wilson",
+        "Value": 952,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Steven Wilson",
+        "Value": 851,
+        "Segment": "China"
+      },
+      {
+        "Category": "Steven Wilson",
+        "Value": 855,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Paul Anderson",
+        "Value": 349,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Paul Anderson",
+        "Value": 258,
+        "Segment": "China"
+      },
+      {
+        "Category": "Paul Anderson",
+        "Value": 334,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Joseph Rodriguez",
+        "Value": 618,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Joseph Rodriguez",
+        "Value": 573,
+        "Segment": "China"
+      },
+      {
+        "Category": "Joseph Rodriguez",
+        "Value": 293,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Elizabeth Wright",
+        "Value": 864,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Elizabeth Wright",
+        "Value": 654,
+        "Segment": "China"
+      },
+      {
+        "Category": "Elizabeth Wright",
+        "Value": 678,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Kimberly Jackson",
+        "Value": 341,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Kimberly Jackson",
+        "Value": 306,
+        "Segment": "China"
+      },
+      {
+        "Category": "Kimberly Jackson",
+        "Value": 410,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Betty Hernandez",
+        "Value": 502,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Betty Hernandez",
+        "Value": 72,
+        "Segment": "China"
+      },
+      {
+        "Category": "Betty Hernandez",
+        "Value": 245,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "David King",
+        "Value": 138,
+        "Segment": "USA"
+      },
+      {
+        "Category": "David King",
+        "Value": 440,
+        "Segment": "China"
+      },
+      {
+        "Category": "David King",
+        "Value": 445,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Matthew Lopez",
+        "Value": 221,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Matthew Lopez",
+        "Value": 77,
+        "Segment": "China"
+      },
+      {
+        "Category": "Matthew Lopez",
+        "Value": 615,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Susan Hernandez",
+        "Value": 32,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Susan Hernandez",
+        "Value": 634,
+        "Segment": "China"
+      },
+      {
+        "Category": "Susan Hernandez",
+        "Value": 71,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Jennifer Lee",
+        "Value": 906,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Jennifer Lee",
+        "Value": 465,
+        "Segment": "China"
+      },
+      {
+        "Category": "Jennifer Lee",
+        "Value": 791,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Richard Flores",
+        "Value": 342,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Richard Flores",
+        "Value": 336,
+        "Segment": "China"
+      },
+      {
+        "Category": "Richard Flores",
+        "Value": 59,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "John Anderson",
+        "Value": 919,
+        "Segment": "USA"
+      },
+      {
+        "Category": "John Anderson",
+        "Value": 787,
+        "Segment": "China"
+      },
+      {
+        "Category": "John Anderson",
+        "Value": 35,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Kimberly Wright",
+        "Value": 180,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Kimberly Wright",
+        "Value": 260,
+        "Segment": "China"
+      },
+      {
+        "Category": "Kimberly Wright",
+        "Value": 199,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Joseph Williams",
+        "Value": 88,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Joseph Williams",
+        "Value": 517,
+        "Segment": "China"
+      },
+      {
+        "Category": "Joseph Williams",
+        "Value": 177,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Lisa Torres",
+        "Value": 455,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Lisa Torres",
+        "Value": 281,
+        "Segment": "China"
+      },
+      {
+        "Category": "Lisa Torres",
+        "Value": 552,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Andrew Rodriguez",
+        "Value": 867,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Andrew Rodriguez",
+        "Value": 940,
+        "Segment": "China"
+      },
+      {
+        "Category": "Andrew Rodriguez",
+        "Value": 798,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Karen Johnson",
+        "Value": 447,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Karen Johnson",
+        "Value": 435,
+        "Segment": "China"
+      },
+      {
+        "Category": "Karen Johnson",
+        "Value": 884,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Steven Jones",
+        "Value": 261,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Steven Jones",
+        "Value": 865,
+        "Segment": "China"
+      },
+      {
+        "Category": "Steven Jones",
+        "Value": 490,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Joshua Ramirez",
+        "Value": 888,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Joshua Ramirez",
+        "Value": 690,
+        "Segment": "China"
+      },
+      {
+        "Category": "Joshua Ramirez",
+        "Value": 808,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Emily Martinez",
+        "Value": 350,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Emily Martinez",
+        "Value": 320,
+        "Segment": "China"
+      },
+      {
+        "Category": "Emily Martinez",
+        "Value": 18,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Robert Walker",
+        "Value": 950,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Robert Walker",
+        "Value": 854,
+        "Segment": "China"
+      },
+      {
+        "Category": "Robert Walker",
+        "Value": 137,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Robert Lewis",
+        "Value": 153,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Robert Lewis",
+        "Value": 314,
+        "Segment": "China"
+      },
+      {
+        "Category": "Robert Lewis",
+        "Value": 350,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Sandra Lopez",
+        "Value": 820,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Sandra Lopez",
+        "Value": 214,
+        "Segment": "China"
+      },
+      {
+        "Category": "Sandra Lopez",
+        "Value": 998,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Nancy Miller",
+        "Value": 668,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Nancy Miller",
+        "Value": 48,
+        "Segment": "China"
+      },
+      {
+        "Category": "Nancy Miller",
+        "Value": 688,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Christopher Sanchez",
+        "Value": 791,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Christopher Sanchez",
+        "Value": 540,
+        "Segment": "China"
+      },
+      {
+        "Category": "Christopher Sanchez",
+        "Value": 416,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Daniel Flores",
+        "Value": 912,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Daniel Flores",
+        "Value": 334,
+        "Segment": "China"
+      },
+      {
+        "Category": "Daniel Flores",
+        "Value": 185,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Mary Walker",
+        "Value": 14,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Mary Walker",
+        "Value": 792,
+        "Segment": "China"
+      },
+      {
+        "Category": "Mary Walker",
+        "Value": 841,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Anthony Ramirez",
+        "Value": 79,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Anthony Ramirez",
+        "Value": 874,
+        "Segment": "China"
+      },
+      {
+        "Category": "Anthony Ramirez",
+        "Value": 115,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Anthony Hill",
+        "Value": 213,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Anthony Hill",
+        "Value": 155,
+        "Segment": "China"
+      },
+      {
+        "Category": "Anthony Hill",
+        "Value": 933,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Matthew Miller",
+        "Value": 308,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Matthew Miller",
+        "Value": 946,
+        "Segment": "China"
+      },
+      {
+        "Category": "Matthew Miller",
+        "Value": 511,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Andrew King",
+        "Value": 337,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Andrew King",
+        "Value": 41,
+        "Segment": "China"
+      },
+      {
+        "Category": "Andrew King",
+        "Value": 311,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "William Perez",
+        "Value": 825,
+        "Segment": "USA"
+      },
+      {
+        "Category": "William Perez",
+        "Value": 724,
+        "Segment": "China"
+      },
+      {
+        "Category": "William Perez",
+        "Value": 107,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "William Martinez",
+        "Value": 277,
+        "Segment": "USA"
+      },
+      {
+        "Category": "William Martinez",
+        "Value": 128,
+        "Segment": "China"
+      },
+      {
+        "Category": "William Martinez",
+        "Value": 184,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Margaret Garcia",
+        "Value": 674,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Margaret Garcia",
+        "Value": 472,
+        "Segment": "China"
+      },
+      {
+        "Category": "Margaret Garcia",
+        "Value": 837,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Barbara Anderson",
+        "Value": 549,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Barbara Anderson",
+        "Value": 504,
+        "Segment": "China"
+      },
+      {
+        "Category": "Barbara Anderson",
+        "Value": 121,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Thomas Smith",
+        "Value": 62,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Thomas Smith",
+        "Value": 291,
+        "Segment": "China"
+      },
+      {
+        "Category": "Thomas Smith",
+        "Value": 786,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Kimberly Thomas",
+        "Value": 744,
+        "Segment": "USA"
+      },
+      {
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+        "Value": 911,
+        "Segment": "China"
+      },
+      {
+        "Category": "Kimberly Thomas",
+        "Value": 354,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Karen Garcia",
+        "Value": 803,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Karen Garcia",
+        "Value": 915,
+        "Segment": "China"
+      },
+      {
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+        "Value": 773,
+        "Segment": "Japan"
+      },
+      {
+        "Category": "Sarah Torres",
+        "Value": 712,
+        "Segment": "USA"
+      },
+      {
+        "Category": "Sarah Torres",
+        "Value": 220,
+        "Segment": "China"
+      },
+      {
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+        "Value": 767,
+        "Segment": "Japan"
+      },
+      {
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+        "Value": 438,
+        "Segment": "USA"
+      },
+      {
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+        "Value": 514,
+        "Segment": "China"
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+      {
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+        "Value": 971,
+        "Segment": "Japan"
+      },
+      {
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+        "Value": 845,
+        "Segment": "USA"
+      },
+      {
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+        "Value": 439,
+        "Segment": "China"
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+      {
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+        "Value": 809,
+        "Segment": "Japan"
+      },
+      {
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+        "Value": 379,
+        "Segment": "USA"
+      },
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+        "Value": 775,
+        "Segment": "China"
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+        "Value": 497,
+        "Segment": "Japan"
+      },
+      {
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+        "Value": 437,
+        "Segment": "USA"
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+      {
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+        "Value": 796,
+        "Segment": "China"
+      },
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+        "Segment": "Japan"
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+      {
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+        "Segment": "USA"
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+        "Segment": "China"
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+        "Segment": "Japan"
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+        "Segment": "USA"
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+        "Segment": "China"
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+        "Segment": "Japan"
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+        "Segment": "USA"
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+        "Segment": "China"
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+        "Value": 674,
+        "Segment": "Japan"
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+        "Segment": "USA"
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+        "Segment": "China"
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+        "Segment": "Japan"
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+        "Segment": "USA"
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+        "Segment": "China"
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+        "Segment": "Japan"
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+        "Segment": "USA"
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+        "Segment": "China"
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+        "Segment": "Japan"
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+        "Segment": "USA"
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+        "Segment": "China"
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+        "Segment": "Japan"
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+        "Value": 689,
+        "Segment": "USA"
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+        "Value": 295,
+        "Segment": "China"
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+        "Segment": "Japan"
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+        "Segment": "USA"
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+        "Value": 758,
+        "Segment": "China"
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+        "Segment": "Japan"
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+        "Segment": "USA"
+      },
+      {
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+        "Segment": "China"
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+        "Segment": "Japan"
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+        "Segment": "USA"
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+        "Segment": "China"
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+        "Segment": "Japan"
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+        "Segment": "USA"
+      },
+      {
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+        "Value": 613,
+        "Segment": "China"
+      },
+      {
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+        "Segment": "Japan"
+      },
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+        "Segment": "USA"
+      },
+      {
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+        "Value": 55,
+        "Segment": "China"
+      },
+      {
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+        "Value": 657,
+        "Segment": "Japan"
+      },
+      {
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+        "Value": 373,
+        "Segment": "USA"
+      },
+      {
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+        "Value": 801,
+        "Segment": "China"
+      },
+      {
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+        "Segment": "Japan"
+      },
+      {
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+        "Value": 76,
+        "Segment": "USA"
+      },
+      {
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+        "Value": 713,
+        "Segment": "China"
+      },
+      {
+        "Category": "Linda King",
+        "Value": 156,
+        "Segment": "Japan"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/stacked-bar-chart/03-card6.flint.json b/test-harness/excel/evaluations/inputs/stacked-bar-chart/03-card6.flint.json
new file mode 100644
index 00000000..43493965
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/stacked-bar-chart/03-card6.flint.json
@@ -0,0 +1,143 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Value": "Quantity",
+    "ColorVal": "Rank"
+  },
+  "chart_spec": {
+    "chartType": "Stacked Bar Chart",
+    "encodings": {
+      "x": "Category",
+      "y": "Value",
+      "color": "ColorVal"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
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+        "Value": 628,
+        "ColorVal": 1
+      },
+      {
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+        "Value": 621,
+        "ColorVal": 2
+      },
+      {
+        "Category": "Laptop",
+        "Value": 178,
+        "ColorVal": 3
+      },
+      {
+        "Category": "Laptop",
+        "Value": 771,
+        "ColorVal": 4
+      },
+      {
+        "Category": "Phone",
+        "Value": 55,
+        "ColorVal": 1
+      },
+      {
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+        "Value": 607,
+        "ColorVal": 2
+      },
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+        "Value": 379,
+        "ColorVal": 3
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+        "ColorVal": 4
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+        "ColorVal": 1
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+        "ColorVal": 2
+      },
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+        "ColorVal": 3
+      },
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+        "ColorVal": 1
+      },
+      {
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+        "ColorVal": 2
+      },
+      {
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+        "Value": 255,
+        "ColorVal": 3
+      },
+      {
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+        "Value": 789,
+        "ColorVal": 4
+      },
+      {
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+      },
+      {
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+        "ColorVal": 2
+      },
+      {
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+        "Value": 951,
+        "ColorVal": 3
+      },
+      {
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+        "Value": 148,
+        "ColorVal": 4
+      },
+      {
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+        "ColorVal": 1
+      },
+      {
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+      },
+      {
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+        "ColorVal": 3
+      },
+      {
+        "Category": "Keyboard",
+        "Value": 435,
+        "ColorVal": 4
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/stacked-bar-chart/04-card5.flint.json b/test-harness/excel/evaluations/inputs/stacked-bar-chart/04-card5.flint.json
new file mode 100644
index 00000000..f54c635d
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/stacked-bar-chart/04-card5.flint.json
@@ -0,0 +1,773 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Value": "Quantity",
+    "ColorVal": "Rank"
+  },
+  "chart_spec": {
+    "chartType": "Stacked Bar Chart",
+    "encodings": {
+      "x": "Category",
+      "y": "Value",
+      "color": "ColorVal"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
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+        "Value": 278,
+        "ColorVal": 1
+      },
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+        "Value": 373,
+        "ColorVal": 2
+      },
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+        "Value": 137,
+        "ColorVal": 3
+      },
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+        "Value": 308,
+        "ColorVal": 4
+      },
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+        "ColorVal": 5
+      },
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+        "Value": 29,
+        "ColorVal": 6
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+      },
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+        "Value": 506,
+        "ColorVal": 6
+      },
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+      },
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+      },
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+      },
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+        "Value": 387,
+        "ColorVal": 22
+      },
+      {
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+        "Value": 340,
+        "ColorVal": 23
+      },
+      {
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+        "Value": 360,
+        "ColorVal": 24
+      },
+      {
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+        "Value": 281,
+        "ColorVal": 25
+      },
+      {
+        "Category": "Monitor",
+        "Value": 123,
+        "ColorVal": 26
+      },
+      {
+        "Category": "Monitor",
+        "Value": 340,
+        "ColorVal": 27
+      },
+      {
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+        "Value": 525,
+        "ColorVal": 28
+      },
+      {
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+        "Value": 529,
+        "ColorVal": 29
+      },
+      {
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+        "Value": 329,
+        "ColorVal": 30
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/stacked-bar-chart/05-card10.flint.json b/test-harness/excel/evaluations/inputs/stacked-bar-chart/05-card10.flint.json
new file mode 100644
index 00000000..41ae8c30
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/stacked-bar-chart/05-card10.flint.json
@@ -0,0 +1,173 @@
+{
+  "semantic_types": {
+    "Date": "Date",
+    "Value": "Quantity",
+    "Segment": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Stacked Bar Chart",
+    "encodings": {
+      "x": "Date",
+      "y": "Value",
+      "color": "Segment"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Date": "2020-01-01",
+        "Value": 300,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2020-01-01",
+        "Value": 961,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2020-01-01",
+        "Value": 741,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2020-04-19",
+        "Value": 606,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2020-04-19",
+        "Value": 194,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2020-04-19",
+        "Value": 823,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2020-08-07",
+        "Value": 952,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2020-08-07",
+        "Value": 532,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2020-08-07",
+        "Value": 405,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2020-11-24",
+        "Value": 989,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2020-11-24",
+        "Value": 833,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2020-11-24",
+        "Value": 838,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2021-03-14",
+        "Value": 217,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2021-03-14",
+        "Value": 807,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2021-03-14",
+        "Value": 593,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2021-07-01",
+        "Value": 712,
+        "Segment": "Laptop"
+      },
+      {
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+        "Value": 381,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2021-07-01",
+        "Value": 323,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2021-10-19",
+        "Value": 741,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2021-10-19",
+        "Value": 333,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2021-10-19",
+        "Value": 837,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2022-02-05",
+        "Value": 395,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2022-02-05",
+        "Value": 81,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2022-02-05",
+        "Value": 562,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2022-05-26",
+        "Value": 442,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2022-05-26",
+        "Value": 553,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2022-05-26",
+        "Value": 813,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2022-09-12",
+        "Value": 194,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2022-09-12",
+        "Value": 658,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2022-09-12",
+        "Value": 78,
+        "Segment": "Tablet"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/stacked-bar-chart/06-card20.flint.json b/test-harness/excel/evaluations/inputs/stacked-bar-chart/06-card20.flint.json
new file mode 100644
index 00000000..b2d887f9
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/stacked-bar-chart/06-card20.flint.json
@@ -0,0 +1,423 @@
+{
+  "semantic_types": {
+    "Date": "Date",
+    "Value": "Quantity",
+    "Segment": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Stacked Bar Chart",
+    "encodings": {
+      "x": "Date",
+      "y": "Value",
+      "color": "Segment"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Date": "2020-01-01",
+        "Value": 283,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2020-01-01",
+        "Value": 509,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2020-01-01",
+        "Value": 946,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2020-01-01",
+        "Value": 971,
+        "Segment": "Desktop"
+      },
+      {
+        "Date": "2020-02-24",
+        "Value": 992,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2020-02-24",
+        "Value": 76,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2020-02-24",
+        "Value": 772,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2020-02-24",
+        "Value": 275,
+        "Segment": "Desktop"
+      },
+      {
+        "Date": "2020-04-19",
+        "Value": 26,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2020-04-19",
+        "Value": 546,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2020-04-19",
+        "Value": 47,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2020-04-19",
+        "Value": 322,
+        "Segment": "Desktop"
+      },
+      {
+        "Date": "2020-06-13",
+        "Value": 715,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2020-06-13",
+        "Value": 780,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2020-06-13",
+        "Value": 451,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2020-06-13",
+        "Value": 712,
+        "Segment": "Desktop"
+      },
+      {
+        "Date": "2020-08-07",
+        "Value": 362,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2020-08-07",
+        "Value": 383,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2020-08-07",
+        "Value": 653,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2020-08-07",
+        "Value": 326,
+        "Segment": "Desktop"
+      },
+      {
+        "Date": "2020-09-30",
+        "Value": 959,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2020-09-30",
+        "Value": 814,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2020-09-30",
+        "Value": 58,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2020-09-30",
+        "Value": 129,
+        "Segment": "Desktop"
+      },
+      {
+        "Date": "2020-11-24",
+        "Value": 423,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2020-11-24",
+        "Value": 902,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2020-11-24",
+        "Value": 24,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2020-11-24",
+        "Value": 345,
+        "Segment": "Desktop"
+      },
+      {
+        "Date": "2021-01-18",
+        "Value": 97,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2021-01-18",
+        "Value": 621,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2021-01-18",
+        "Value": 323,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2021-01-18",
+        "Value": 481,
+        "Segment": "Desktop"
+      },
+      {
+        "Date": "2021-03-14",
+        "Value": 954,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2021-03-14",
+        "Value": 994,
+        "Segment": "Phone"
+      },
+      {
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+        "Value": 284,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2021-03-14",
+        "Value": 410,
+        "Segment": "Desktop"
+      },
+      {
+        "Date": "2021-05-07",
+        "Value": 493,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2021-05-07",
+        "Value": 766,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2021-05-07",
+        "Value": 731,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2021-05-07",
+        "Value": 753,
+        "Segment": "Desktop"
+      },
+      {
+        "Date": "2021-07-01",
+        "Value": 320,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2021-07-01",
+        "Value": 735,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2021-07-01",
+        "Value": 569,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2021-07-01",
+        "Value": 209,
+        "Segment": "Desktop"
+      },
+      {
+        "Date": "2021-08-25",
+        "Value": 953,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2021-08-25",
+        "Value": 578,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2021-08-25",
+        "Value": 80,
+        "Segment": "Tablet"
+      },
+      {
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+        "Value": 276,
+        "Segment": "Desktop"
+      },
+      {
+        "Date": "2021-10-19",
+        "Value": 649,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2021-10-19",
+        "Value": 232,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2021-10-19",
+        "Value": 938,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2021-10-19",
+        "Value": 48,
+        "Segment": "Desktop"
+      },
+      {
+        "Date": "2021-12-12",
+        "Value": 371,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2021-12-12",
+        "Value": 698,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2021-12-12",
+        "Value": 810,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2021-12-12",
+        "Value": 179,
+        "Segment": "Desktop"
+      },
+      {
+        "Date": "2022-02-05",
+        "Value": 217,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2022-02-05",
+        "Value": 239,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2022-02-05",
+        "Value": 208,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2022-02-05",
+        "Value": 763,
+        "Segment": "Desktop"
+      },
+      {
+        "Date": "2022-04-01",
+        "Value": 503,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2022-04-01",
+        "Value": 499,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2022-04-01",
+        "Value": 932,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2022-04-01",
+        "Value": 176,
+        "Segment": "Desktop"
+      },
+      {
+        "Date": "2022-05-26",
+        "Value": 869,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2022-05-26",
+        "Value": 296,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2022-05-26",
+        "Value": 888,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2022-05-26",
+        "Value": 423,
+        "Segment": "Desktop"
+      },
+      {
+        "Date": "2022-07-19",
+        "Value": 359,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2022-07-19",
+        "Value": 77,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2022-07-19",
+        "Value": 291,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2022-07-19",
+        "Value": 666,
+        "Segment": "Desktop"
+      },
+      {
+        "Date": "2022-09-12",
+        "Value": 419,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2022-09-12",
+        "Value": 353,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2022-09-12",
+        "Value": 862,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2022-09-12",
+        "Value": 832,
+        "Segment": "Desktop"
+      },
+      {
+        "Date": "2022-11-06",
+        "Value": 112,
+        "Segment": "Laptop"
+      },
+      {
+        "Date": "2022-11-06",
+        "Value": 913,
+        "Segment": "Phone"
+      },
+      {
+        "Date": "2022-11-06",
+        "Value": 801,
+        "Segment": "Tablet"
+      },
+      {
+        "Date": "2022-11-06",
+        "Value": 939,
+        "Segment": "Desktop"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/stacked-bar-chart/07-card10.flint.json b/test-harness/excel/evaluations/inputs/stacked-bar-chart/07-card10.flint.json
new file mode 100644
index 00000000..87e89390
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/stacked-bar-chart/07-card10.flint.json
@@ -0,0 +1,173 @@
+{
+  "semantic_types": {
+    "X": "Quantity",
+    "Value": "Quantity",
+    "Segment": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Stacked Bar Chart",
+    "encodings": {
+      "x": "X",
+      "y": "Value",
+      "color": "Segment"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "X": 1,
+        "Value": 299,
+        "Segment": "Laptop"
+      },
+      {
+        "X": 1,
+        "Value": 927,
+        "Segment": "Phone"
+      },
+      {
+        "X": 1,
+        "Value": 362,
+        "Segment": "Tablet"
+      },
+      {
+        "X": 2,
+        "Value": 321,
+        "Segment": "Laptop"
+      },
+      {
+        "X": 2,
+        "Value": 677,
+        "Segment": "Phone"
+      },
+      {
+        "X": 2,
+        "Value": 138,
+        "Segment": "Tablet"
+      },
+      {
+        "X": 3,
+        "Value": 526,
+        "Segment": "Laptop"
+      },
+      {
+        "X": 3,
+        "Value": 227,
+        "Segment": "Phone"
+      },
+      {
+        "X": 3,
+        "Value": 901,
+        "Segment": "Tablet"
+      },
+      {
+        "X": 4,
+        "Value": 245,
+        "Segment": "Laptop"
+      },
+      {
+        "X": 4,
+        "Value": 453,
+        "Segment": "Phone"
+      },
+      {
+        "X": 4,
+        "Value": 905,
+        "Segment": "Tablet"
+      },
+      {
+        "X": 5,
+        "Value": 850,
+        "Segment": "Laptop"
+      },
+      {
+        "X": 5,
+        "Value": 757,
+        "Segment": "Phone"
+      },
+      {
+        "X": 5,
+        "Value": 334,
+        "Segment": "Tablet"
+      },
+      {
+        "X": 6,
+        "Value": 638,
+        "Segment": "Laptop"
+      },
+      {
+        "X": 6,
+        "Value": 324,
+        "Segment": "Phone"
+      },
+      {
+        "X": 6,
+        "Value": 582,
+        "Segment": "Tablet"
+      },
+      {
+        "X": 7,
+        "Value": 917,
+        "Segment": "Laptop"
+      },
+      {
+        "X": 7,
+        "Value": 421,
+        "Segment": "Phone"
+      },
+      {
+        "X": 7,
+        "Value": 313,
+        "Segment": "Tablet"
+      },
+      {
+        "X": 8,
+        "Value": 132,
+        "Segment": "Laptop"
+      },
+      {
+        "X": 8,
+        "Value": 719,
+        "Segment": "Phone"
+      },
+      {
+        "X": 8,
+        "Value": 470,
+        "Segment": "Tablet"
+      },
+      {
+        "X": 9,
+        "Value": 388,
+        "Segment": "Laptop"
+      },
+      {
+        "X": 9,
+        "Value": 115,
+        "Segment": "Phone"
+      },
+      {
+        "X": 9,
+        "Value": 508,
+        "Segment": "Tablet"
+      },
+      {
+        "X": 10,
+        "Value": 328,
+        "Segment": "Laptop"
+      },
+      {
+        "X": 10,
+        "Value": 681,
+        "Segment": "Phone"
+      },
+      {
+        "X": 10,
+        "Value": 525,
+        "Segment": "Tablet"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/stacked-bar-chart/08-card23.flint.json b/test-harness/excel/evaluations/inputs/stacked-bar-chart/08-card23.flint.json
new file mode 100644
index 00000000..15ddd710
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/stacked-bar-chart/08-card23.flint.json
@@ -0,0 +1,143 @@
+{
+  "semantic_types": {
+    "X": "Quantity",
+    "Group": "Category",
+    "Segment": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Stacked Bar Chart",
+    "encodings": {
+      "x": "X",
+      "y": "Group",
+      "color": "Segment"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Group": "Laptop",
+        "X": 906,
+        "Segment": "USA"
+      },
+      {
+        "Group": "Laptop",
+        "X": 619,
+        "Segment": "China"
+      },
+      {
+        "Group": "Laptop",
+        "X": 389,
+        "Segment": "Japan"
+      },
+      {
+        "Group": "Phone",
+        "X": 163,
+        "Segment": "USA"
+      },
+      {
+        "Group": "Phone",
+        "X": 91,
+        "Segment": "China"
+      },
+      {
+        "Group": "Phone",
+        "X": 314,
+        "Segment": "Japan"
+      },
+      {
+        "Group": "Tablet",
+        "X": 566,
+        "Segment": "USA"
+      },
+      {
+        "Group": "Tablet",
+        "X": 845,
+        "Segment": "China"
+      },
+      {
+        "Group": "Tablet",
+        "X": 60,
+        "Segment": "Japan"
+      },
+      {
+        "Group": "Desktop",
+        "X": 274,
+        "Segment": "USA"
+      },
+      {
+        "Group": "Desktop",
+        "X": 92,
+        "Segment": "China"
+      },
+      {
+        "Group": "Desktop",
+        "X": 223,
+        "Segment": "Japan"
+      },
+      {
+        "Group": "Monitor",
+        "X": 725,
+        "Segment": "USA"
+      },
+      {
+        "Group": "Monitor",
+        "X": 14,
+        "Segment": "China"
+      },
+      {
+        "Group": "Monitor",
+        "X": 315,
+        "Segment": "Japan"
+      },
+      {
+        "Group": "Keyboard",
+        "X": 757,
+        "Segment": "USA"
+      },
+      {
+        "Group": "Keyboard",
+        "X": 486,
+        "Segment": "China"
+      },
+      {
+        "Group": "Keyboard",
+        "X": 304,
+        "Segment": "Japan"
+      },
+      {
+        "Group": "Mouse",
+        "X": 381,
+        "Segment": "USA"
+      },
+      {
+        "Group": "Mouse",
+        "X": 388,
+        "Segment": "China"
+      },
+      {
+        "Group": "Mouse",
+        "X": 906,
+        "Segment": "Japan"
+      },
+      {
+        "Group": "Headphones",
+        "X": 441,
+        "Segment": "USA"
+      },
+      {
+        "Group": "Headphones",
+        "X": 695,
+        "Segment": "China"
+      },
+      {
+        "Group": "Headphones",
+        "X": 564,
+        "Segment": "Japan"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/stacked-bar-chart/09-card43.flint.json b/test-harness/excel/evaluations/inputs/stacked-bar-chart/09-card43.flint.json
new file mode 100644
index 00000000..71a562a5
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/stacked-bar-chart/09-card43.flint.json
@@ -0,0 +1,248 @@
+{
+  "semantic_types": {
+    "X": "Quantity",
+    "EndDate": "Date",
+    "Segment": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Stacked Bar Chart",
+    "encodings": {
+      "x": "X",
+      "y": "EndDate",
+      "color": "Segment"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "EndDate": "2020-01-01",
+        "X": 403,
+        "Segment": "Laptop"
+      },
+      {
+        "EndDate": "2020-01-01",
+        "X": 206,
+        "Segment": "Phone"
+      },
+      {
+        "EndDate": "2020-01-01",
+        "X": 183,
+        "Segment": "Tablet"
+      },
+      {
+        "EndDate": "2020-03-14",
+        "X": 265,
+        "Segment": "Laptop"
+      },
+      {
+        "EndDate": "2020-03-14",
+        "X": 151,
+        "Segment": "Phone"
+      },
+      {
+        "EndDate": "2020-03-14",
+        "X": 231,
+        "Segment": "Tablet"
+      },
+      {
+        "EndDate": "2020-05-26",
+        "X": 338,
+        "Segment": "Laptop"
+      },
+      {
+        "EndDate": "2020-05-26",
+        "X": 33,
+        "Segment": "Phone"
+      },
+      {
+        "EndDate": "2020-05-26",
+        "X": 211,
+        "Segment": "Tablet"
+      },
+      {
+        "EndDate": "2020-08-07",
+        "X": 468,
+        "Segment": "Laptop"
+      },
+      {
+        "EndDate": "2020-08-07",
+        "X": 275,
+        "Segment": "Phone"
+      },
+      {
+        "EndDate": "2020-08-07",
+        "X": 233,
+        "Segment": "Tablet"
+      },
+      {
+        "EndDate": "2020-10-19",
+        "X": 474,
+        "Segment": "Laptop"
+      },
+      {
+        "EndDate": "2020-10-19",
+        "X": 742,
+        "Segment": "Phone"
+      },
+      {
+        "EndDate": "2020-10-19",
+        "X": 470,
+        "Segment": "Tablet"
+      },
+      {
+        "EndDate": "2020-12-31",
+        "X": 962,
+        "Segment": "Laptop"
+      },
+      {
+        "EndDate": "2020-12-31",
+        "X": 110,
+        "Segment": "Phone"
+      },
+      {
+        "EndDate": "2020-12-31",
+        "X": 940,
+        "Segment": "Tablet"
+      },
+      {
+        "EndDate": "2021-03-14",
+        "X": 98,
+        "Segment": "Laptop"
+      },
+      {
+        "EndDate": "2021-03-14",
+        "X": 202,
+        "Segment": "Phone"
+      },
+      {
+        "EndDate": "2021-03-14",
+        "X": 259,
+        "Segment": "Tablet"
+      },
+      {
+        "EndDate": "2021-05-26",
+        "X": 849,
+        "Segment": "Laptop"
+      },
+      {
+        "EndDate": "2021-05-26",
+        "X": 334,
+        "Segment": "Phone"
+      },
+      {
+        "EndDate": "2021-05-26",
+        "X": 770,
+        "Segment": "Tablet"
+      },
+      {
+        "EndDate": "2021-08-07",
+        "X": 869,
+        "Segment": "Laptop"
+      },
+      {
+        "EndDate": "2021-08-07",
+        "X": 172,
+        "Segment": "Phone"
+      },
+      {
+        "EndDate": "2021-08-07",
+        "X": 291,
+        "Segment": "Tablet"
+      },
+      {
+        "EndDate": "2021-10-19",
+        "X": 231,
+        "Segment": "Laptop"
+      },
+      {
+        "EndDate": "2021-10-19",
+        "X": 873,
+        "Segment": "Phone"
+      },
+      {
+        "EndDate": "2021-10-19",
+        "X": 654,
+        "Segment": "Tablet"
+      },
+      {
+        "EndDate": "2021-12-31",
+        "X": 293,
+        "Segment": "Laptop"
+      },
+      {
+        "EndDate": "2021-12-31",
+        "X": 715,
+        "Segment": "Phone"
+      },
+      {
+        "EndDate": "2021-12-31",
+        "X": 416,
+        "Segment": "Tablet"
+      },
+      {
+        "EndDate": "2022-03-14",
+        "X": 492,
+        "Segment": "Laptop"
+      },
+      {
+        "EndDate": "2022-03-14",
+        "X": 750,
+        "Segment": "Phone"
+      },
+      {
+        "EndDate": "2022-03-14",
+        "X": 156,
+        "Segment": "Tablet"
+      },
+      {
+        "EndDate": "2022-05-26",
+        "X": 597,
+        "Segment": "Laptop"
+      },
+      {
+        "EndDate": "2022-05-26",
+        "X": 35,
+        "Segment": "Phone"
+      },
+      {
+        "EndDate": "2022-05-26",
+        "X": 323,
+        "Segment": "Tablet"
+      },
+      {
+        "EndDate": "2022-08-07",
+        "X": 780,
+        "Segment": "Laptop"
+      },
+      {
+        "EndDate": "2022-08-07",
+        "X": 270,
+        "Segment": "Phone"
+      },
+      {
+        "EndDate": "2022-08-07",
+        "X": 251,
+        "Segment": "Tablet"
+      },
+      {
+        "EndDate": "2022-10-19",
+        "X": 460,
+        "Segment": "Laptop"
+      },
+      {
+        "EndDate": "2022-10-19",
+        "X": 280,
+        "Segment": "Phone"
+      },
+      {
+        "EndDate": "2022-10-19",
+        "X": 338,
+        "Segment": "Tablet"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/stacked-bar-chart/10-card5.flint.json b/test-harness/excel/evaluations/inputs/stacked-bar-chart/10-card5.flint.json
new file mode 100644
index 00000000..95e39781
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/stacked-bar-chart/10-card5.flint.json
@@ -0,0 +1,93 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Group": "Category",
+    "Segment": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Stacked Bar Chart",
+    "encodings": {
+      "x": "Category",
+      "y": "Group",
+      "color": "Segment"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Category": "Laptop",
+        "Group": "USA",
+        "Segment": "Sales"
+      },
+      {
+        "Category": "Laptop",
+        "Group": "UK",
+        "Segment": "Sales"
+      },
+      {
+        "Category": "Phone",
+        "Group": "USA",
+        "Segment": "Sales"
+      },
+      {
+        "Category": "Phone",
+        "Group": "Germany",
+        "Segment": "Sales"
+      },
+      {
+        "Category": "Phone",
+        "Group": "UK",
+        "Segment": "Engineering"
+      },
+      {
+        "Category": "Tablet",
+        "Group": "USA",
+        "Segment": "Sales"
+      },
+      {
+        "Category": "Tablet",
+        "Group": "China",
+        "Segment": "Marketing"
+      },
+      {
+        "Category": "Tablet",
+        "Group": "Germany",
+        "Segment": "Engineering"
+      },
+      {
+        "Category": "Desktop",
+        "Group": "China",
+        "Segment": "Engineering"
+      },
+      {
+        "Category": "Desktop",
+        "Group": "Japan",
+        "Segment": "Engineering"
+      },
+      {
+        "Category": "Desktop",
+        "Group": "Germany",
+        "Segment": "Sales"
+      },
+      {
+        "Category": "Desktop",
+        "Group": "UK",
+        "Segment": "Engineering"
+      },
+      {
+        "Category": "Monitor",
+        "Group": "Japan",
+        "Segment": "Engineering"
+      },
+      {
+        "Category": "Monitor",
+        "Group": "Germany",
+        "Segment": "Marketing"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/sunburst-chart/00-card0.flint.json b/test-harness/excel/evaluations/inputs/sunburst-chart/00-card0.flint.json
new file mode 100644
index 00000000..e6485227
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/sunburst-chart/00-card0.flint.json
@@ -0,0 +1,45 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Amount": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Sunburst Chart",
+    "encodings": {
+      "color": "Category",
+      "size": "Amount"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Category": "Housing",
+        "Amount": 228
+      },
+      {
+        "Category": "Food",
+        "Amount": 1736
+      },
+      {
+        "Category": "Transport",
+        "Amount": 379
+      },
+      {
+        "Category": "Entertainment",
+        "Amount": 1340
+      },
+      {
+        "Category": "Savings",
+        "Amount": 2162
+      },
+      {
+        "Category": "Healthcare",
+        "Amount": 453
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/sunburst-chart/01-card0.flint.json b/test-harness/excel/evaluations/inputs/sunburst-chart/01-card0.flint.json
new file mode 100644
index 00000000..bb63ebc1
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/sunburst-chart/01-card0.flint.json
@@ -0,0 +1,73 @@
+{
+  "semantic_types": {
+    "Department": "Category",
+    "Team": "Category",
+    "Headcount": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Sunburst Chart",
+    "encodings": {
+      "color": "Department",
+      "group": "Team",
+      "size": "Headcount"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Department": "Engineering",
+        "Team": "Frontend",
+        "Headcount": 39
+      },
+      {
+        "Department": "Engineering",
+        "Team": "Backend",
+        "Headcount": 53
+      },
+      {
+        "Department": "Engineering",
+        "Team": "Infra",
+        "Headcount": 42
+      },
+      {
+        "Department": "Engineering",
+        "Team": "QA",
+        "Headcount": 27
+      },
+      {
+        "Department": "Product",
+        "Team": "Design",
+        "Headcount": 20
+      },
+      {
+        "Department": "Product",
+        "Team": "PM",
+        "Headcount": 52
+      },
+      {
+        "Department": "Product",
+        "Team": "Research",
+        "Headcount": 42
+      },
+      {
+        "Department": "Operations",
+        "Team": "HR",
+        "Headcount": 16
+      },
+      {
+        "Department": "Operations",
+        "Team": "Finance",
+        "Headcount": 17
+      },
+      {
+        "Department": "Operations",
+        "Team": "Legal",
+        "Headcount": 28
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/sunburst-chart/02-card0.flint.json b/test-harness/excel/evaluations/inputs/sunburst-chart/02-card0.flint.json
new file mode 100644
index 00000000..35a388d3
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/sunburst-chart/02-card0.flint.json
@@ -0,0 +1,103 @@
+{
+  "semantic_types": {
+    "Continent": "Category",
+    "Country": "Country",
+    "Population": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Sunburst Chart",
+    "encodings": {
+      "color": "Continent",
+      "group": "Country",
+      "size": "Population"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Continent": "North America",
+        "Country": "USA",
+        "Population": 106
+      },
+      {
+        "Continent": "North America",
+        "Country": "Canada",
+        "Population": 1209
+      },
+      {
+        "Continent": "North America",
+        "Country": "Mexico",
+        "Population": 217
+      },
+      {
+        "Continent": "Europe",
+        "Country": "UK",
+        "Population": 452
+      },
+      {
+        "Continent": "Europe",
+        "Country": "France",
+        "Population": 675
+      },
+      {
+        "Continent": "Europe",
+        "Country": "Germany",
+        "Population": 277
+      },
+      {
+        "Continent": "Europe",
+        "Country": "Spain",
+        "Population": 231
+      },
+      {
+        "Continent": "Europe",
+        "Country": "Italy",
+        "Population": 1110
+      },
+      {
+        "Continent": "Asia",
+        "Country": "China",
+        "Population": 151
+      },
+      {
+        "Continent": "Asia",
+        "Country": "Japan",
+        "Population": 671
+      },
+      {
+        "Continent": "Asia",
+        "Country": "India",
+        "Population": 762
+      },
+      {
+        "Continent": "Asia",
+        "Country": "Korea",
+        "Population": 86
+      },
+      {
+        "Continent": "Asia",
+        "Country": "Thailand",
+        "Population": 1128
+      },
+      {
+        "Continent": "South America",
+        "Country": "Brazil",
+        "Population": 210
+      },
+      {
+        "Continent": "South America",
+        "Country": "Argentina",
+        "Population": 818
+      },
+      {
+        "Continent": "South America",
+        "Country": "Chile",
+        "Population": 1349
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/treemap/00-card0.flint.json b/test-harness/excel/evaluations/inputs/treemap/00-card0.flint.json
new file mode 100644
index 00000000..23cb1729
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/treemap/00-card0.flint.json
@@ -0,0 +1,45 @@
+{
+  "semantic_types": {
+    "Sector": "Category",
+    "MarketCap": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Treemap",
+    "encodings": {
+      "color": "Sector",
+      "size": "MarketCap"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Sector": "Technology",
+        "MarketCap": 560
+      },
+      {
+        "Sector": "Healthcare",
+        "MarketCap": 3264
+      },
+      {
+        "Sector": "Finance",
+        "MarketCap": 2881
+      },
+      {
+        "Sector": "Energy",
+        "MarketCap": 3674
+      },
+      {
+        "Sector": "Consumer",
+        "MarketCap": 3669
+      },
+      {
+        "Sector": "Industrials",
+        "MarketCap": 1538
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/treemap/01-card0.flint.json b/test-harness/excel/evaluations/inputs/treemap/01-card0.flint.json
new file mode 100644
index 00000000..5fad82a9
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/treemap/01-card0.flint.json
@@ -0,0 +1,83 @@
+{
+  "semantic_types": {
+    "Region": "Category",
+    "Country": "Country",
+    "Revenue": "Amount"
+  },
+  "chart_spec": {
+    "chartType": "Treemap",
+    "encodings": {
+      "color": "Region",
+      "detail": "Country",
+      "size": "Revenue"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Region": "Americas",
+        "Country": "USA",
+        "Revenue": 2052
+      },
+      {
+        "Region": "Americas",
+        "Country": "Canada",
+        "Revenue": 240
+      },
+      {
+        "Region": "Americas",
+        "Country": "Brazil",
+        "Revenue": 1708
+      },
+      {
+        "Region": "Americas",
+        "Country": "Mexico",
+        "Revenue": 2056
+      },
+      {
+        "Region": "Europe",
+        "Country": "UK",
+        "Revenue": 2007
+      },
+      {
+        "Region": "Europe",
+        "Country": "Germany",
+        "Revenue": 116
+      },
+      {
+        "Region": "Europe",
+        "Country": "France",
+        "Revenue": 1382
+      },
+      {
+        "Region": "Europe",
+        "Country": "Italy",
+        "Revenue": 1645
+      },
+      {
+        "Region": "Asia",
+        "Country": "China",
+        "Revenue": 1870
+      },
+      {
+        "Region": "Asia",
+        "Country": "Japan",
+        "Revenue": 1081
+      },
+      {
+        "Region": "Asia",
+        "Country": "India",
+        "Revenue": 2008
+      },
+      {
+        "Region": "Asia",
+        "Country": "Korea",
+        "Revenue": 274
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/treemap/02-card0.flint.json b/test-harness/excel/evaluations/inputs/treemap/02-card0.flint.json
new file mode 100644
index 00000000..56db1fa9
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/treemap/02-card0.flint.json
@@ -0,0 +1,81 @@
+{
+  "semantic_types": {
+    "Item": "Category",
+    "Size": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Treemap",
+    "encodings": {
+      "color": "Item",
+      "size": "Size"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Item": "Electronics",
+        "Size": 453
+      },
+      {
+        "Item": "Clothing",
+        "Size": 366
+      },
+      {
+        "Item": "Food",
+        "Size": 413
+      },
+      {
+        "Item": "Books",
+        "Size": 307
+      },
+      {
+        "Item": "Sports",
+        "Size": 180
+      },
+      {
+        "Item": "Home",
+        "Size": 421
+      },
+      {
+        "Item": "Garden",
+        "Size": 292
+      },
+      {
+        "Item": "Auto",
+        "Size": 439
+      },
+      {
+        "Item": "Health",
+        "Size": 220
+      },
+      {
+        "Item": "Beauty",
+        "Size": 381
+      },
+      {
+        "Item": "Toys",
+        "Size": 149
+      },
+      {
+        "Item": "Music",
+        "Size": 62
+      },
+      {
+        "Item": "Movies",
+        "Size": 323
+      },
+      {
+        "Item": "Software",
+        "Size": 418
+      },
+      {
+        "Item": "Games",
+        "Size": 135
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/waterfall-chart/00-card6.flint.json b/test-harness/excel/evaluations/inputs/waterfall-chart/00-card6.flint.json
new file mode 100644
index 00000000..5039168c
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/waterfall-chart/00-card6.flint.json
@@ -0,0 +1,45 @@
+{
+  "semantic_types": {
+    "Category": "Category",
+    "Amount": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Waterfall Chart",
+    "encodings": {
+      "x": "Category",
+      "y": "Amount"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Category": "Revenue",
+        "Amount": 1000
+      },
+      {
+        "Category": "COGS",
+        "Amount": -400
+      },
+      {
+        "Category": "Gross Profit",
+        "Amount": -150
+      },
+      {
+        "Category": "Operating Exp",
+        "Amount": -200
+      },
+      {
+        "Category": "Tax",
+        "Amount": -80
+      },
+      {
+        "Category": "Net Income",
+        "Amount": 170
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/waterfall-chart/01-card7.flint.json b/test-harness/excel/evaluations/inputs/waterfall-chart/01-card7.flint.json
new file mode 100644
index 00000000..e09f3162
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/waterfall-chart/01-card7.flint.json
@@ -0,0 +1,58 @@
+{
+  "semantic_types": {
+    "Step": "Category",
+    "Value": "Quantity",
+    "Type": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Waterfall Chart",
+    "encodings": {
+      "x": "Step",
+      "y": "Value",
+      "color": "Type"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Step": "Starting Balance",
+        "Value": 5000,
+        "Type": "start"
+      },
+      {
+        "Step": "Sales",
+        "Value": 2200,
+        "Type": "delta"
+      },
+      {
+        "Step": "Returns",
+        "Value": -350,
+        "Type": "delta"
+      },
+      {
+        "Step": "Payroll",
+        "Value": -1800,
+        "Type": "delta"
+      },
+      {
+        "Step": "Rent",
+        "Value": -600,
+        "Type": "delta"
+      },
+      {
+        "Step": "Marketing",
+        "Value": -400,
+        "Type": "delta"
+      },
+      {
+        "Step": "Ending Balance",
+        "Value": 4050,
+        "Type": "end"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/waterfall-chart/02-card7.flint.json b/test-harness/excel/evaluations/inputs/waterfall-chart/02-card7.flint.json
new file mode 100644
index 00000000..4d3d8122
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/waterfall-chart/02-card7.flint.json
@@ -0,0 +1,49 @@
+{
+  "semantic_types": {
+    "Department": "Category",
+    "Variance": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Waterfall Chart",
+    "encodings": {
+      "x": "Department",
+      "y": "Variance"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Department": "Engineering",
+        "Variance": 120
+      },
+      {
+        "Department": "Sales",
+        "Variance": -45
+      },
+      {
+        "Department": "Marketing",
+        "Variance": -80
+      },
+      {
+        "Department": "Operations",
+        "Variance": 35
+      },
+      {
+        "Department": "HR",
+        "Variance": -20
+      },
+      {
+        "Department": "Finance",
+        "Variance": 15
+      },
+      {
+        "Department": "Support",
+        "Variance": -30
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/waterfall-chart/03-card14.flint.json b/test-harness/excel/evaluations/inputs/waterfall-chart/03-card14.flint.json
new file mode 100644
index 00000000..0e5e8802
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/waterfall-chart/03-card14.flint.json
@@ -0,0 +1,93 @@
+{
+  "semantic_types": {
+    "Month": "Category",
+    "Amount": "Quantity",
+    "Type": "Category"
+  },
+  "chart_spec": {
+    "chartType": "Waterfall Chart",
+    "encodings": {
+      "x": "Month",
+      "y": "Amount",
+      "color": "Type"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Month": "Opening",
+        "Amount": 10000,
+        "Type": "start"
+      },
+      {
+        "Month": "Jan",
+        "Amount": 500,
+        "Type": "delta"
+      },
+      {
+        "Month": "Feb",
+        "Amount": 200,
+        "Type": "delta"
+      },
+      {
+        "Month": "Mar",
+        "Amount": -150,
+        "Type": "delta"
+      },
+      {
+        "Month": "Apr",
+        "Amount": 300,
+        "Type": "delta"
+      },
+      {
+        "Month": "May",
+        "Amount": -100,
+        "Type": "delta"
+      },
+      {
+        "Month": "Jun",
+        "Amount": -250,
+        "Type": "delta"
+      },
+      {
+        "Month": "Jul",
+        "Amount": 400,
+        "Type": "delta"
+      },
+      {
+        "Month": "Aug",
+        "Amount": 150,
+        "Type": "delta"
+      },
+      {
+        "Month": "Sep",
+        "Amount": -300,
+        "Type": "delta"
+      },
+      {
+        "Month": "Oct",
+        "Amount": 200,
+        "Type": "delta"
+      },
+      {
+        "Month": "Nov",
+        "Amount": -50,
+        "Type": "delta"
+      },
+      {
+        "Month": "Dec",
+        "Amount": 100,
+        "Type": "delta"
+      },
+      {
+        "Month": "Closing",
+        "Amount": 11000,
+        "Type": "end"
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inputs/waterfall-chart/04-card4.flint.json b/test-harness/excel/evaluations/inputs/waterfall-chart/04-card4.flint.json
new file mode 100644
index 00000000..cc157a7c
--- /dev/null
+++ b/test-harness/excel/evaluations/inputs/waterfall-chart/04-card4.flint.json
@@ -0,0 +1,37 @@
+{
+  "semantic_types": {
+    "Quarter": "Category",
+    "Change": "Quantity"
+  },
+  "chart_spec": {
+    "chartType": "Waterfall Chart",
+    "encodings": {
+      "x": "Quarter",
+      "y": "Change"
+    },
+    "baseSize": {
+      "width": 560,
+      "height": 360
+    }
+  },
+  "data": {
+    "values": [
+      {
+        "Quarter": "Q1",
+        "Change": 300
+      },
+      {
+        "Quarter": "Q2",
+        "Change": 150
+      },
+      {
+        "Quarter": "Q3",
+        "Change": -100
+      },
+      {
+        "Quarter": "Q4",
+        "Change": 200
+      }
+    ]
+  }
+}
diff --git a/test-harness/excel/evaluations/inspection-list.md b/test-harness/excel/evaluations/inspection-list.md
new file mode 100644
index 00000000..3decc3f5
--- /dev/null
+++ b/test-harness/excel/evaluations/inspection-list.md
@@ -0,0 +1,332 @@
+# Excel backend inspection list
+
+This is the case-by-case visual audit for the native Excel backend. Each row compares the Office.js PNG with Flint's canonical rendering: Vega-Lite where available, otherwise the chart's ECharts implementation.
+
+Status:
+
+- `PENDING`: not yet visually inspected.
+- `PASS`: rendered and visually acceptable in Excel's native design language.
+- `FIXED`: a mismatch was repaired and the output passed a second visual inspection.
+- `FAIL`: defect reproduced; repair is in progress.
+- `SKIP`: unsupported by native Office.js charts, or still unresolved after 10 focused repair attempts; the blocker is recorded.
+
+A transport success alone is not a pass. Inspection covers field roles, orientation, grouping/stacking, aggregation, category order, labels, axes, legend, cardinality, and whether the Excel-native construction preserves the same reading as the Vega-Lite reference.
+
+## Progress
+
+| Chart type | Cases | Inspected | Passed/fixed | Failed | Skipped |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| Bar Chart | 19 | 19 | 16 | 0 | 3 |
+| Grouped Bar Chart | 15 | 15 | 12 | 0 | 3 |
+| Stacked Bar Chart | 11 | 11 | 9 | 0 | 2 |
+| Line Chart | 18 | 18 | 13 | 0 | 5 |
+| Area Chart | 12 | 12 | 12 | 0 | 0 |
+| Scatter Plot | 26 | 26 | 12 | 0 | 14 |
+| Pie Chart | 4 | 4 | 4 | 0 | 0 |
+| Donut Chart | 4 | 4 | 4 | 0 | 0 |
+| Histogram | 3 | 3 | 3 | 0 | 0 |
+| Boxplot | 10 | 10 | 3 | 0 | 7 |
+| Heatmap | 9 | 9 | 0 | 0 | 9 |
+| Radar Chart | 6 | 6 | 6 | 0 | 0 |
+| Waterfall Chart | 5 | 5 | 2 | 0 | 3 |
+| Funnel Chart | 3 | 3 | 3 | 0 | 0 |
+| Treemap | 3 | 3 | 3 | 0 | 0 |
+| Sunburst Chart | 3 | 3 | 3 | 0 | 0 |
+| Connected Scatter Plot | 8 | 8 | 7 | 0 | 1 |
+| **Total** | **159** | **159** | **112** | **0** | **47** |
+
+## Candlestick Chart (dedicated audit)
+
+These cases were rendered after the main catalog audit and do not change the
+progress totals above. Both use native `StockOHLC` through `sheet.charts.add`.
+Configured VLM review was skipped because no workspace `.env` provided a VLM
+endpoint and credential; the generated side-by-side images were inspected
+directly.
+
+| Case | Status | Attempts | Finding / fix |
+| --- | --- | ---: | --- |
+| basic-30-day | FIXED | 2 | Native `A1:E31` Date/Open/High/Low/Close range preserves all bodies, wicks, chronology, and the price trajectory. Excel serial dates render as a true date axis. A focused Low-to-High value scale removed native zero anchoring. |
+| advanced-90-day-dense | FIXED | 3 | Native `A1:E91` preserves all 90 OHLC rows and the canonical trend. UTC fixture generation removed a DST duplicate; native tick spacing keeps the dense date axis readable, and the focused price scale prevents vertical compression. |
+
+Artifacts and the reproducible runner are under
+`test-harness/excel/evaluations/out/candlestick-audit` and
+`test-harness/excel/evaluations/candlestick-audit.mjs`.
+
+## Bar Chart
+
+| Case | Status | Attempts | Finding / fix |
+| --- | --- | ---: | --- |
+| 00-card5 | PASS | 1 | Five-category vertical bar preserves category order and values. |
+| 01-card20 | PASS | 1 | Twenty nominal categories remain readable in the expanded native layout. |
+| 02-card20 | PASS | 1 | Alternate 20-category value sequence preserves all bars and labels. |
+| 03-card100 | PASS | 1 | Dense 100-category column chart preserves cardinality and value pattern with native sparse labeling. |
+| 04-card5 | PASS | 1 | Three-series stacked columns preserve category totals and segment composition. |
+| 05-card5 | PASS | 1 | Twenty-series stack preserves every segment and exposes a complete wrapped legend. |
+| 06-card10 | PASS | 1 | Horizontal bars retain source category order, values, and zero baseline. |
+| 07-card96 | FIXED | 4 | Reused Flint overflow ranking, retained its kept-value order, and emitted a density-aware 5 pt category-axis font; all 81 retained labels are visible. |
+| 08-card29 | PASS | 1 | Horizontal three-segment stacks preserve category totals and composition. |
+| 09-card24 | PASS | 1 | Temporal bars retain chronological order and all 24 values. |
+| 10-card100 | PASS | 1 | Dense temporal bars preserve chronological progression and value pattern. |
+| 11-card24 | PASS | 1 | Temporal three-series stacks preserve dates, totals, and segment identities. |
+| 12-card18 | PASS | 1 | Horizontal temporal bars preserve the continuous-time ordering in native category form. |
+| 13-card53 | PASS | 1 | Horizontal temporal stacks preserve date order, totals, and three segment identities. |
+| 14-card20 | PASS | 1 | Quantitative X treated as ordered categories preserves all 20 positions and values. |
+| 15-card30 | PASS | 1 | Transposed quantitative categories preserve the 30-position sequence and values. |
+| 16-card5 | SKIP | 1 | No quantitative measure axis; the former occupancy matrix required a worksheet heatmap rather than a native chart. |
+| 17-card25 | SKIP | 1 | No quantitative measure axis; the former date/group occupancy matrix required worksheet rendering. |
+| 18-card5 | SKIP | 1 | No quantitative measure axis; native Excel bars cannot encode category-by-end-date occupancy. |
+
+## Grouped Bar Chart
+
+| Case | Status | Attempts | Finding / fix |
+| --- | --- | ---: | --- |
+| 00-card4 | PASS | 1 | Three native semantic series preserve all category/group/value tuples. |
+| 01-card8 | PASS | 1 | Group-equals-category degenerates cleanly to one value per category. |
+| 02-card90 | PASS | 1 | Dense three-series grouping preserves the retained categories, values, and complete legend. |
+| 03-card6 | PASS | 1 | Ordered groups retain five light-to-dark native series and all values. |
+| 04-card12 | FIXED | 3 | Temporal categories remain chronological; a balanced native gap clearly separates adjacent three-bar groups without isolating them. |
+| 05-card5 | FIXED | 3 | Quantitative categories remain ordered; four bars stay adjacent within each group while a moderate gap separates groups. |
+| 06-card24 | PASS | 1 | Horizontal grouped bars preserve category order, four series, and values. |
+| 07-card30 | PASS | 1 | Horizontal temporal grouping preserves chronology, series identities, and values. |
+| 08-card8 | SKIP | 0 | Continuous grouping is not a native clustered-bar series role. |
+| 09-card5 | SKIP | 0 | Continuous grouping is not a native clustered-bar series role. |
+| 10-card5 | SKIP | 0 | No quantitative measure axis for a native clustered bar chart. |
+| 11-card5 | PASS | 1 | Group-equals-category degenerates to one semantic-colored bar per category; order and values match the reference. |
+| 12-card6 | FIXED | 5 | Native clustered chart preserves all 14 region/channel values as four semantic series with null gaps and a complete Excel legend. |
+| 13-card6 | FIXED | 3 | Native semantic series with null gaps preserve sparse channel identities, order, and values. |
+| 14-card6 | FIXED | 3 | Alternate sparse ordering preserves all semantic series and values with the complete native legend. |
+
+## Stacked Bar Chart
+
+| Case | Status | Attempts | Finding / fix |
+| --- | --- | ---: | --- |
+| 00-card4 | PASS | 1 | Three native series preserve segment values and category totals. |
+| 01-card15 | PASS | 1 | Five-series stacks preserve all segment identities, values, and totals. |
+| 02-card80 | PASS | 1 | Dense three-series stacks retain the kept categories and complete legend. |
+| 03-card6 | PASS | 1 | Ordered stack groups preserve sequential colors, values, and totals. |
+| 04-card5 | SKIP | 0 | Continuous color cannot be represented as native stacked-bar series. |
+| 05-card10 | PASS | 1 | Temporal stacks remain chronological with three semantic series. |
+| 06-card20 | PASS | 1 | Dense temporal four-series stacks preserve chronology and totals. |
+| 07-card10 | PASS | 1 | Quantitative category stacks preserve ordered positions and three series. |
+| 08-card23 | PASS | 1 | Horizontal three-series stacks preserve category order and totals. |
+| 09-card43 | PASS | 1 | Horizontal temporal stacks preserve chronological order and segment composition. |
+| 10-card5 | SKIP | 0 | No quantitative measure axis for a native stacked bar chart. |
+
+## Line Chart
+
+| Case | Status | Attempts | Finding / fix |
+| --- | --- | ---: | --- |
+| 00-card30 | PASS | 1 | Native temporal line preserves the trajectory and chronological order. |
+| 01-card50 | PASS | 1 | Four temporal series preserve their trajectories, identities, and legend. |
+| 02-card100 | PASS | 1 | Eight temporal series preserve all trajectories and legend identities. |
+| 03-card200 | PASS | 1 | Dense twenty-series temporal chart remains semantically complete in native Excel. |
+| 04-card60 | PASS | 1 | Three temporal series preserve values, chronology, and identities. |
+| 05-card30 | SKIP | 3 | Continuous color required a worksheet overlay; native Excel line series cannot encode it. |
+| 06-card5 | PASS | 1 | Five ordinal stages preserve order and values in a native line. |
+| 07-card12 | PASS | 1 | Four ordinal-stage series preserve trajectories and legend identities. |
+| 08-card30 | PASS | 1 | Dense ordinal stages preserve order and the full trajectory. |
+| 09-card5 | SKIP | 2 | Continuous color required worksheet markers; native Excel line series cannot encode it. |
+| 10-card5 | SKIP | 2 | Categorical Y requires worksheet band geometry; native Excel line charts require quantitative Y. |
+| 11-card12 | SKIP | 2 | Categorical Y cannot be represented by a native Excel line value axis. |
+| 12-card30 | SKIP | 2 | Quantitative X with ordinal Y cannot be represented by a native Excel XY line chart. |
+| 13-card30 | PASS | 1 | Native XY line preserves quantitative-X spacing, values, and trajectory. |
+| 14-card50 | PASS | 1 | Three native XY series preserve quantitative-X trajectories and identities. |
+| 15-card200 | PASS | 1 | Dense native XY series preserves all points and trajectory. |
+| 16-card16 | PASS | 1 | Actual-to-forecast handoff remains continuous with solid and dashed native series. |
+| 17-card13 | PASS | 1 | Three product trajectories preserve distinct actual/forecast dash handoffs. |
+
+## Area Chart
+
+| Case | Status | Attempts | Finding / fix |
+| --- | --- | ---: | --- |
+| 00-card30 | PASS | 1 | Native temporal area preserves the trajectory, chronology, and zero baseline. |
+| 01-card24 | PASS | 1 | Four stacked temporal areas preserve series composition and totals. |
+| 02-card60 | PASS | 1 | Eight stacked temporal areas preserve composition, chronology, and legend identities. |
+| 03-card120 | PASS | 1 | Dense fifteen-series area preserves all stacked contributions and total progression. |
+| 04-card40 | PASS | 1 | Three stacked temporal series preserve shape, composition, and totals. |
+| 05-card60 | PASS | 1 | Alternate three-series temporal stack preserves all trajectories and totals. |
+| 06-card5 | PASS | 1 | Five ordinal stages preserve order and area values. |
+| 07-card12 | PASS | 1 | Four ordinal-stage areas preserve stack composition and totals. |
+| 08-card30 | PASS | 1 | Dense ordinal stages preserve order and full area trajectory. |
+| 09-card30 | FIXED | 2 | Resampled quantitative X onto a uniform native-Area grid and reduced the category axis to exact domain quartiles. |
+| 10-card50 | FIXED | 3 | Uniform numeric resampling preserves three stacked series while replacing dense inferred labels with `0, 25, 50, 75, 100`. |
+| 11-card200 | FIXED | 2 | Dense 200-point Area now preserves continuous-X spacing and readable quartile labels through bounded interpolation. |
+
+## Scatter Plot
+
+| Case | Status | Attempts | Finding / fix |
+| --- | --- | ---: | --- |
+| 00-card20 | PASS | 1 | Native Scatter preserves all quantitative X/Y positions. |
+| 01-card20 | PASS | 1 | Three discrete segment series preserve positions and identities. |
+| 02-card20 | SKIP | 1 | Quantitative color was dropped by the native chart; Office.js Scatter has no continuous color scale. |
+| 03-card30 | SKIP | 1 | Temporal color became one series per timestamp; Office.js Scatter has no continuous color scale. |
+| 04-card47 | PASS | 4 | Native Bubble preserves all positions and quantitative size ordering. |
+| 05-card20 | PASS | 4 | Native Bubble preserves positions and four ordinal size levels. |
+| 06-card15 | FIXED | 4 | Native Bubble preserves all 15 X/Y positions, three segment series, and quantitative size ordering without worksheet shapes. |
+| 07-card30 | SKIP | 1 | Native Bubble preserves size but cannot also encode the continuous color scale. |
+| 08-card20 | PASS | 5 | Twenty discrete Bubble series preserve positions, relative sizes, identities, and native legend entries. |
+| 09-card91 | PASS | 1 | Native Scatter preserves the full 91-point distribution. |
+| 10-card395 | PASS | 1 | Dense native Scatter preserves the full distribution without visible loss. |
+| 11-card182 | PASS | 1 | Twenty discrete series preserve positions, colors, and legend identities. |
+| 12-card96 | PASS | 1 | High-cardinality discrete series preserve positions and identity assignment in the expanded native legend. |
+| 13-card10 | FIXED | 5 | Current native rerender applies focused X `20–100` and Y `0–100` bounds, removing the stale automatic `-20–120` margins while preserving positions and size ordering. |
+| 14-card187 | FIXED | 5 | Current native rerender applies focused `0–100` bounds on both axes and preserves all positions and relative bubble sizes without worksheet shapes. |
+| 15-card5 | SKIP | 0 | Native Excel Scatter requires quantitative X and Y axes. |
+| 16-card5 | SKIP | 0 | Native Excel Scatter requires quantitative X and Y axes. |
+| 17-card2 | SKIP | 0 | Native Excel Scatter requires quantitative X and Y axes. |
+| 18-card60 | SKIP | 0 | Native Excel Scatter requires quantitative X and Y axes. |
+| 19-card24 | SKIP | 0 | Native Excel Scatter requires quantitative X and Y axes. |
+| 20-card23 | SKIP | 3 | Categorical Y required worksheet geometry; native Excel Bubble requires quantitative X and Y. |
+| 21-card59 | SKIP | 0 | Native Excel Scatter requires quantitative X and Y axes. |
+| 22-card5 | SKIP | 0 | Native Excel Scatter requires quantitative X and Y axes. |
+| 23-card4 | SKIP | 0 | Native Excel Scatter requires quantitative X and Y axes. |
+| 24-card15 | SKIP | 0 | Native Excel Scatter requires quantitative X and Y axes. |
+| 25-card40 | SKIP | 0 | Office.js native charts do not expose Flint's shape encoding. |
+
+## Pie Chart
+
+| Case | Status | Attempts | Finding / fix |
+| --- | --- | ---: | --- |
+| 00-card0 | PASS | 1 | Native Pie preserves all four category proportions and identities. |
+| 01-card0 | PASS | 1 | Ten-category Pie preserves proportions and legend identities. |
+| 02-card0 | PASS | 1 | Twenty-category Pie remains complete with readable native legend entries. |
+| 03-card0 | PASS | 1 | Dominant and tiny slices preserve their strong proportional contrast. |
+
+## Donut Chart
+
+| Case | Status | Attempts | Finding / fix |
+| --- | --- | ---: | --- |
+| 00-card0 | PASS | 1 | Native Doughnut preserves all four category proportions, identities, and the annular reading. |
+| 01-card0 | PASS | 1 | Ten-category Doughnut preserves proportions and complete native legend identities. |
+| 02-card0 | PASS | 1 | Twenty-category Doughnut remains complete with readable native legend entries. |
+| 03-card0 | PASS | 1 | Dominant and tiny slices preserve their strong proportional contrast in the native ring. |
+
+## Histogram
+
+| Case | Status | Attempts | Finding / fix |
+| --- | --- | ---: | --- |
+| 00-card49 | PASS | 1 | Native columns preserve all bin boundaries and record counts. |
+| 01-card42 | PASS | 1 | Stacked native columns preserve gender contributions and total counts per bin. |
+| 02-card997 | PASS | 1 | Dense histogram preserves all ten bins and their count distribution. |
+
+## Boxplot
+
+| Case | Status | Attempts | Finding / fix |
+| --- | --- | ---: | --- |
+| 00-card5 | PASS | 1 | Five native boxes preserve all 150 raw observations, category order, medians, inclusive quartiles, and whiskers. |
+| 01-card5 | PASS | 1 | Quantitative rank values are retained as five category labels with their complete score distributions. |
+| 02-card12 | PASS | 1 | Twelve native boxes preserve all 600 salary observations and remain readable at the expanded width. |
+| 03-card4 | SKIP | 1 | Flattened pair labels emit all eight boxes and separator gaps, but lose subgroup legend/color identity and native hierarchy; indexed point fills leave boxes uniform. |
+| 04-card6 | SKIP | 1 | Four-subgroup distributions have the same native pooling/inversion blocker; multi-level headers become concatenated series names, not grouped category labels. |
+| 05-card8 | SKIP | 1 | Five-subgroup distributions have the same native blocker; no one-chart range preserves both category boundaries and subgroup identity. |
+| 06-card6 | SKIP | 1 | Redundant color still cannot be mapped to reliable native per-category coloring without changing the BoxWhisker range reading. |
+| 07-card6 | SKIP | 1 | Nested color groups remain rejected: pair-per-column ranges create series of single-value ticks instead of one distribution per occupied pair. |
+| 08-card6 | SKIP | 1 | Sparse 6x5: flattened labels emit exactly fourteen occupied boxes with gaps but no subgroup identity/hierarchy; point fills have no visible effect and full null padding exposes thirty identities. |
+| 09-card6 | SKIP | 1 | Alternate nested groups share the proven native limitation and remain rejected rather than flattened or pooled. |
+
+The seven production gallery cases remain skipped, so the 159-case audit totals
+are unchanged.
+
+## Heatmap
+
+| Case | Status | Attempts | Finding / fix |
+| --- | --- | ---: | --- |
+| 00-card5 | SKIP | 2 | Office.js has no native Heatmap chart type; worksheet conditional formatting is outside the backend contract. |
+| 01-card10 | SKIP | 1 | Office.js has no native Heatmap chart type. |
+| 02-card50 | SKIP | 1 | Office.js has no native Heatmap chart type. |
+| 03-card12 | SKIP | 1 | Office.js has no native Heatmap chart type. |
+| 04-card80 | SKIP | 2 | Office.js has no native Heatmap chart type. |
+| 05-card5 | SKIP | 1 | Office.js has no native Heatmap chart type. |
+| 06-card60 | SKIP | 2 | Office.js has no native Heatmap chart type. |
+| 07-card80 | SKIP | 1 | Office.js has no native Heatmap chart type. |
+| 08-card5 | SKIP | 1 | Office.js has no native Heatmap chart type. |
+
+## Radar Chart
+
+| Case | Status | Attempts | Finding / fix |
+| --- | --- | ---: | --- |
+| 00-card5 | FIXED | 2 | Replaced opaque `RadarFilled` with native `RadarMarkers`; the single-series profile and vertices remain clear. |
+| 01-card6 | FIXED | 2 | Native outline series preserve both team profiles without the later series hiding the earlier polygon. |
+| 02-card5 | PASS | 1 | Three native marker series preserve all product profiles, intersections, and legend identities. |
+| 04-card5 | FIXED | 2 | Native outline series preserve both product profiles and keep all long metric labels visible. |
+| 05-card8 | FIXED | 2 | Eight-axis outlines preserve both contrasting KPI profiles without solid-fill occlusion. |
+| 06-card12 | FIXED | 2 | Twelve-axis outlines keep all three dense series distinguishable and retain complete labels and legend identities. |
+
+## Waterfall Chart
+
+| Case | Status | Attempts | Finding / fix |
+| --- | --- | ---: | --- |
+| 00-card6 | SKIP | 1 | The income-statement sequence requires a final total; Office.js does not expose Waterfall total-point semantics. |
+| 01-card7 | SKIP | 1 | Explicit start/delta/end roles require a non-initial total point, which Office.js cannot mark. |
+| 02-card7 | PASS | 1 | Native Waterfall preserves department order, positive and negative variances, cumulative levels, value labels, and connector lines. |
+| 03-card14 | SKIP | 1 | The opening-to-closing monthly flow requires a closing total point, which Office.js cannot mark. |
+| 04-card4 | PASS | 1 | Native Waterfall preserves quarterly order, signed changes, cumulative levels, value labels, and connector lines. |
+
+## Funnel Chart
+
+| Case | Status | Attempts | Finding / fix |
+| --- | --- | ---: | --- |
+| 00-card5 | PASS | 1 | Native Funnel preserves the descending sales-pipeline stage order, values, labels, and relative widths. |
+| 01-card5 | PASS | 1 | Pre-sorted ascending values produce the intended inverted recruitment funnel with all stages and values preserved. |
+| 02-card8 | PASS | 1 | Eight native stages remain legible and preserve the full marketing sequence and relative widths. |
+
+Funnel now explicitly emits centered white 11-point value labels over a single
+Office blue series fill. The existing real-Excel cases already demonstrate that
+this placement remains readable on both wide and narrow stages; a refreshed
+render is pending taskpane availability to verify the explicit font properties.
+
+## Pyramid Chart (audit pending)
+
+The compiler emits Flint's two-group population pyramid as a native 2D
+`BarStacked` chart with one mirrored series, one positive series, symmetric
+numeric bounds, absolute-value tick labels, and stable blue/red group colors.
+Seven valid gallery fixtures and one intentional negative-value rejection case
+are generated under `evaluations/inputs/pyramid-chart`. Compiler, type, build, and
+Office.js generator tests pass. Real-Excel visual qualification remains pending
+because the macOS add-in taskpane did not resume polling during this audit run.
+
+## Treemap
+
+| Case | Status | Attempts | Finding / fix |
+| --- | --- | ---: | --- |
+| 00-card0 | PASS | 1 | Flat native Treemap preserves all sector labels and market-cap area relationships with Excel-native packing. |
+| 01-card0 | FIXED | 2 | Hierarchy columns now count as category levels rather than series; Region parents, Country leaves, and revenue areas all render natively. |
+| 02-card0 | PASS | 1 | Fifteen native leaves preserve labels and relative areas without crowding failures. |
+
+## Sunburst Chart
+
+| Case | Status | Attempts | Finding / fix |
+| --- | --- | ---: | --- |
+| 00-card0 | PASS | 1 | Flat native Sunburst preserves every budget category and proportional allocation. |
+| 01-card0 | PASS | 1 | Department parents and Team leaves occupy the correct two native rings with preserved values and labels. |
+| 02-card0 | PASS | 1 | Four continent parents and sixteen country leaves retain hierarchy, values, and readable ring geometry. |
+
+## Connected Scatter Plot
+
+| Case | Status | Attempts | Finding / fix |
+| --- | --- | ---: | --- |
+| 00-card9 | PASS | 1 | Native XY lines preserve the ten-year non-monotonic unemployment/inflation trajectory in explicit Year order. |
+| 01-card21 | PASS | 1 | Three native color series preserve country identities, all points, and independent ordered trajectories. |
+| 02-card12 | PASS | 1 | ISO-date ordering preserves the complete monthly price/volume trajectory instead of sorting by X. |
+| 03-card12 | PASS | 1 | The defining self-crossing figure-eight follows Step order and retains its central crossing. |
+| 04-card15 | PASS | 1 | Two experiment series preserve numeric Step order, values, markers, and legend identities. |
+| 05-card4 | PASS | 1 | The minimal four-point trajectory preserves its explicit non-monotonic sequence. |
+| 06-card35 | PASS | 1 | The dense 35-point spiral preserves every marker and the complete inward path. |
+| 07-card24 | SKIP | 0 | Native Excel can render multiple color series, but Flint's unlegended detail trajectory role is intentionally rejected rather than promoted to a visible legend. |
+
+## Audit notes
+
+- Excel-native styling is allowed to differ from Vega-Lite palettes, but semantic roles and the visual reading must agree.
+- Every successful output must be created by `sheet.charts.add(...)` and captured by `chart.getImage()`; ranges, shapes, and composite images are not backend output.
+- Native Bubble charts replace the former worksheet point composites. The current Scatter rerender confirms explicit focused axis bounds are applied in real Excel.
+- Native BoxWhisker consumes Flint's raw category/value observations and computes inclusive quartiles in Excel. Color-grouped subgroup boxes remain explicitly unsupported pending a faithful native range mapping.
+- Native Waterfall is supported for delta sequences and an initial total. Office.js does not expose Excel's “Set as Total” point command, so later/final totals are rejected.
+- Native Doughnut preserves part-to-whole semantics and applies Flint's inner radius through `ChartSeries.doughnutHoleSize`.
+- Native Radar normalizes each metric by its Flint-compatible nice maximum because Excel exposes one shared radial scale. The category labels retain those maxima so the resulting polygon preserves Flint's per-metric geometry without hiding the original scale. Excel's UI and OOXML can store transparent series fills, but the direct Office.js `ChartFill` API exposes only solid-color operations. Flint therefore renders filled Radar requests as `RadarMarkers` to prevent series occlusion. A proof workbook with DrawingML `` confirmed the native capability; importing generated OOXML worksheets is deferred because it would be a separate rendering path from the current `charts.add()` architecture.
+- Native Funnel, Treemap, and Sunburst use Flint's ECharts implementations as audit references because those chart identities have no Vega-Lite template. Native geometry, packing, and palette may differ while order, hierarchy, labels, and value/area readings must agree.
+- Native Connected Scatter sorts each trajectory by its explicit order field before binding `XYScatterLines`; sorting by X would corrupt loops and backtracking paths. Discrete color is supported as native series, while unlegended detail remains an explicit gap.
+- Native Pareto is not supported. The first bounded `Pareto` probe caused Excel for Mac to exit before Office.js returned a PNG or catchable error. Its executable probe and renderer aliases were removed; the server and taskpane retain only a pre-render quarantine for stale or external jobs.
+- Bullet remains deferred after a bounded Office.js probe: a faithful target tick needs a mixed bar/scatter chart with secondary-axis alignment and custom marker geometry, which is not a modest extension of the current one-family native renderer.
+- Dynamic-layout audit: six real Excel charts confirm that the host applies Flint's optimized dimensions within a 320×220 to 1600×900 render envelope. All tested rows survive; Bar sizing changes regime between 24 and 80 categories rather than growing monotonically, while the tested Line date/series matrix grows steadily.
+- Facet audit: production `assembleExcel` rejects `column` and `row` centrally. An experimental 20-chart Office.js composition successfully reproduced column, row, 2×2, and wrapped 5×2 grids after imposing shared global numeric scales. Faceting therefore remains a future worksheet-level multi-chart artifact, not one native chart.
+- Any row still failing after 10 focused repair attempts becomes `SKIP` with its blocker recorded here.
diff --git a/test-harness/excel/evaluations/layout-facet-audit.mjs b/test-harness/excel/evaluations/layout-facet-audit.mjs
new file mode 100644
index 00000000..5cda460b
--- /dev/null
+++ b/test-harness/excel/evaluations/layout-facet-audit.mjs
@@ -0,0 +1,337 @@
+#!/usr/bin/env node
+// @ts-nocheck
+
+import { execFileSync } from 'node:child_process';
+import { mkdirSync, rmSync, writeFileSync } from 'node:fs';
+import { dirname, join } from 'node:path';
+import { fileURLToPath } from 'node:url';
+import { renderChart } from 'flint-chart-mcp/render';
+import { assembleExcel } from 'flint-chart/excel';
+import { renderExcelArtifact } from './render-client.mjs';
+
+const here = dirname(fileURLToPath(import.meta.url));
+const outDir = join(here, 'out', 'layout-facet-audit');
+const tempDir = join(outDir, 'temp');
+const scale = 3;
+const clamp = (value, minimum, maximum) => Math.max(minimum, Math.min(maximum, Math.round(value)));
+
+rmSync(outDir, { recursive: true, force: true });
+mkdirSync(tempDir, { recursive: true });
+
+function runMagick(args) {
+  execFileSync('magick', args, { stdio: 'pipe' });
+}
+
+function barInput(count) {
+  return {
+    data: {
+      values: Array.from({ length: count }, (_value, index) => ({
+        Category: `Category ${index + 1}`,
+        Value: 40 + ((index * 37) % 180),
+      })),
+    },
+    semantic_types: { Category: 'Category', Value: 'Quantity' },
+    chart_spec: {
+      chartType: 'Bar Chart',
+      encodings: { x: 'Category', y: 'Value' },
+      baseSize: { width: 400, height: 300 },
+    },
+  };
+}
+
+function lineInput(dateCount, seriesCount) {
+  const values = [];
+  for (let seriesIndex = 0; seriesIndex < seriesCount; seriesIndex += 1) {
+    for (let dateIndex = 0; dateIndex < dateCount; dateIndex += 1) {
+      const date = new Date(Date.UTC(2020, 0, 1 + dateIndex));
+      values.push({
+        Date: date.toISOString().slice(0, 10),
+        Series: `Series ${seriesIndex + 1}`,
+        Value: Math.round(100 + seriesIndex * 18 + dateIndex * 1.7 + Math.sin((dateIndex + seriesIndex) / 4) * 24),
+      });
+    }
+  }
+  return {
+    data: { values },
+    semantic_types: { Date: 'Date', Series: 'Category', Value: 'Quantity' },
+    chart_spec: {
+      chartType: 'Line Chart',
+      encodings: { x: 'Date', y: 'Value', color: 'Series' },
+      baseSize: { width: 400, height: 300 },
+    },
+  };
+}
+
+const dynamicCases = [
+  { name: 'bar-04', label: 'Bar · 4 categories', family: 'bar', input: barInput(4) },
+  { name: 'bar-24', label: 'Bar · 24 categories', family: 'bar', input: barInput(24) },
+  { name: 'bar-80', label: 'Bar · 80 categories', family: 'bar', input: barInput(80) },
+  { name: 'line-12x1', label: 'Line · 12 dates × 1 series', family: 'line', input: lineInput(12, 1) },
+  { name: 'line-60x8', label: 'Line · 60 dates × 8 series', family: 'line', input: lineInput(60, 8) },
+  { name: 'line-120x20', label: 'Line · 120 dates × 20 series', family: 'line', input: lineInput(120, 20) },
+];
+
+async function runDynamicAudit() {
+  const results = [];
+  for (const item of dynamicCases) {
+    const reference = await renderChart(item.input, 'vegalite', { format: 'png', scale });
+    const spec = assembleExcel(item.input);
+    const authoredSize = { width: spec.width, height: spec.height };
+    spec.width = clamp(reference.width, 320, 1600);
+    spec.height = clamp(reference.height, 220, 900);
+    const excel = await renderExcelArtifact(spec, { scale });
+    const referencePath = join(outDir, `${item.name}.reference.png`);
+    const excelPath = join(outDir, `${item.name}.excel.png`);
+    writeFileSync(referencePath, reference.buffer);
+    writeFileSync(excelPath, excel);
+    results.push({
+      name: item.name,
+      label: item.label,
+      family: item.family,
+      authoredSize,
+      optimizedSize: { width: reference.width, height: reference.height },
+      appliedExcelSize: { width: spec.width, height: spec.height },
+      excelType: spec.chartType,
+      retainedRows: spec.data.length - 1,
+    });
+    console.log(`  ✓ ${item.label}: ${reference.width}×${reference.height} → Excel ${spec.width}×${spec.height}`);
+  }
+
+  const barCases = results.filter((result) => result.family === 'bar');
+  if (barCases[1].optimizedSize.width <= barCases[0].optimizedSize.width) {
+    throw new Error('bar layout did not stretch for the moderate-cardinality case');
+  }
+  if (barCases.some((result, index) => result.retainedRows !== [4, 24, 80][index])) {
+    throw new Error('bar layout dropped data while changing cardinality regimes');
+  }
+  for (const result of results) {
+    if (result.appliedExcelSize.width < 320 || result.appliedExcelSize.width > 1600
+      || result.appliedExcelSize.height < 220 || result.appliedExcelSize.height > 900) {
+      throw new Error(`${result.name} escaped the Excel audit size bounds`);
+    }
+  }
+  const lineCases = results.filter((result) => result.family === 'line');
+  for (let index = 1; index < lineCases.length; index += 1) {
+    const previous = lineCases[index - 1].optimizedSize;
+    const current = lineCases[index].optimizedSize;
+    if (current.width * current.height < previous.width * previous.height) {
+      throw new Error(`line optimized area decreased from ${lineCases[index - 1].name} to ${lineCases[index].name}`);
+    }
+  }
+
+  for (let page = 0; page < 2; page += 1) {
+    const pageCases = results.slice(page * 3, page * 3 + 3);
+    const rows = [];
+    const header = join(tempDir, `dynamic-header-${page}.png`);
+    runMagick(['-size', '2000x100', '-background', 'white', '-fill', 'black', '-font', 'Helvetica-Bold', '-pointsize', '26', '-gravity', 'center', `label:Dynamic layout audit · page ${page + 1}`, header]);
+    rows.push(header);
+    for (const result of pageCases) {
+      const label = join(tempDir, `dynamic-${result.name}-label.png`);
+      const reference = join(tempDir, `dynamic-${result.name}-reference.png`);
+      const excel = join(tempDir, `dynamic-${result.name}-excel.png`);
+      const row = join(tempDir, `dynamic-${result.name}-row.png`);
+      const sizeLabel = `${result.label}\nFlint ${result.optimizedSize.width}×${result.optimizedSize.height}\nExcel ${result.appliedExcelSize.width}×${result.appliedExcelSize.height}`;
+      runMagick(['-size', '300x600', '-background', 'white', '-fill', 'black', '-font', 'Helvetica', '-pointsize', '20', '-gravity', 'center', `label:${sizeLabel}`, label]);
+      runMagick([join(outDir, `${result.name}.reference.png`), '-resize', '850x580', '-background', 'white', '-gravity', 'center', '-extent', '850x600', reference]);
+      runMagick([join(outDir, `${result.name}.excel.png`), '-resize', '850x580', '-background', 'white', '-gravity', 'center', '-extent', '850x600', excel]);
+      runMagick([label, reference, excel, '+append', row]);
+      rows.push(row);
+    }
+    runMagick([...rows, '-append', join(outDir, `dynamic-layout-${page + 1}.png`)]);
+  }
+  return results;
+}
+
+function facetInput(name) {
+  if (name === 'column-bar') {
+    const values = [];
+    for (const region of ['North', 'Central', 'South']) {
+      for (const category of ['Consumer', 'Corporate', 'Home Office', 'Reseller']) {
+        values.push({ Region: region, Category: category, Value: 60 + ((values.length * 47) % 320) });
+      }
+    }
+    return {
+      data: { values },
+      semantic_types: { Region: 'Category', Category: 'Category', Value: 'Amount' },
+      chart_spec: { chartType: 'Bar Chart', encodings: { x: 'Category', y: 'Value', column: 'Region' }, baseSize: { width: 400, height: 300 } },
+    };
+  }
+  if (name === 'row-scatter') {
+    const values = [];
+    for (const group of ['Group A', 'Group B', 'Group C']) {
+      for (let index = 0; index < 18; index += 1) {
+        values.push({ Group: group, X: 20 + index * 4 + group.length, Y: 30 + ((index * 17 + group.charCodeAt(6)) % 70) });
+      }
+    }
+    return {
+      data: { values },
+      semantic_types: { Group: 'Category', X: 'Quantity', Y: 'Quantity' },
+      chart_spec: { chartType: 'Scatter Plot', encodings: { x: 'X', y: 'Y', row: 'Group' }, baseSize: { width: 400, height: 300 } },
+    };
+  }
+  if (name === 'grid-bar') {
+    const values = [];
+    for (const region of ['North', 'South']) {
+      for (const channel of ['Online', 'Retail']) {
+        for (const category of ['A', 'B', 'C', 'D']) {
+          values.push({ Region: region, Channel: channel, Category: category, Value: 50 + ((values.length * 31) % 240) });
+        }
+      }
+    }
+    return {
+      data: { values },
+      semantic_types: { Region: 'Category', Channel: 'Category', Category: 'Category', Value: 'Amount' },
+      chart_spec: { chartType: 'Bar Chart', encodings: { x: 'Category', y: 'Value', column: 'Region', row: 'Channel' }, baseSize: { width: 400, height: 300 } },
+    };
+  }
+
+  const values = [];
+  for (const region of ['North', 'South', 'East', 'West', 'Central', 'Pacific', 'Mountain', 'Atlantic', 'Gulf', 'Midwest']) {
+    for (let month = 0; month < 12; month += 1) {
+      values.push({ Region: region, Month: `M${month + 1}`, Value: 80 + ((month * 23 + region.length * 17) % 170) });
+    }
+  }
+  return {
+    data: { values },
+    semantic_types: { Region: 'Category', Month: 'Month', Value: 'Quantity' },
+    chart_spec: { chartType: 'Line Chart', encodings: { x: 'Month', y: 'Value', column: 'Region' }, baseSize: { width: 400, height: 300 } },
+    options: { minSubplotSize: 180 },
+  };
+}
+
+const facetCases = [
+  { name: 'column-bar', label: 'Column facet · 3 bar panels' },
+  { name: 'row-scatter', label: 'Row facet · 3 scatter panels' },
+  { name: 'grid-bar', label: 'Column × row facet · 2×2 bar panels' },
+  { name: 'wrapped-line', label: 'Wrapped column facet · 10 line panels' },
+];
+
+function distinct(values, field) {
+  return [...new Set(values.map((row) => String(row[field])))];
+}
+
+function sharedNumericAxis(values, zero = false) {
+  const finite = values.map(Number).filter(Number.isFinite);
+  if (finite.length === 0) return {};
+  const minimum = zero ? 0 : Math.min(...finite);
+  const maximum = Math.max(...finite);
+  const span = Math.max(1, maximum - minimum);
+  const rough = span / 5;
+  const power = 10 ** Math.floor(Math.log10(rough));
+  const fraction = rough / power;
+  const step = (fraction <= 1 ? 1 : fraction <= 2 ? 2 : fraction <= 5 ? 5 : 10) * power;
+  const lower = zero ? 0 : Math.floor(minimum / step) * step;
+  const upperTick = Math.ceil(maximum / step) * step;
+  return {
+    minimumScale: lower,
+    maximumScale: Math.abs(upperTick - maximum) < 1e-9 ? maximum + step * 0.25 : upperTick,
+    majorUnit: step,
+  };
+}
+
+async function runFacetAudit() {
+  const results = [];
+  for (const item of facetCases) {
+    const input = facetInput(item.name);
+    const reference = await renderChart(input, 'vegalite', { format: 'png', scale });
+    const referencePath = join(outDir, `${item.name}.reference.png`);
+    writeFileSync(referencePath, reference.buffer);
+
+    let rejection;
+    try {
+      assembleExcel(input);
+      throw new Error('faceted input unexpectedly assembled as one native chart');
+    } catch (error) {
+      rejection = String(error.message || error);
+      if (!rejection.includes('does not support faceting')) throw error;
+    }
+
+    const columnField = typeof input.chart_spec.encodings.column === 'string' ? input.chart_spec.encodings.column : input.chart_spec.encodings.column?.field;
+    const rowField = typeof input.chart_spec.encodings.row === 'string' ? input.chart_spec.encodings.row : input.chart_spec.encodings.row?.field;
+    const xField = typeof input.chart_spec.encodings.x === 'string' ? input.chart_spec.encodings.x : input.chart_spec.encodings.x?.field;
+    const yField = typeof input.chart_spec.encodings.y === 'string' ? input.chart_spec.encodings.y : input.chart_spec.encodings.y?.field;
+    const sharedCategoryAxis = input.chart_spec.chartType === 'Scatter Plot'
+      ? sharedNumericAxis(input.data.values.map((row) => row[xField]))
+      : undefined;
+    const sharedValueAxis = sharedNumericAxis(
+      input.data.values.map((row) => row[yField]),
+      input.chart_spec.chartType === 'Bar Chart',
+    );
+    const columns = columnField ? distinct(input.data.values, columnField) : [null];
+    const rows = rowField ? distinct(input.data.values, rowField) : [null];
+    const panels = [];
+    for (const rowValue of rows) {
+      for (const columnValue of columns) {
+        const panelRows = input.data.values.filter((record) =>
+          (!columnField || String(record[columnField]) === columnValue)
+          && (!rowField || String(record[rowField]) === rowValue),
+        );
+        const encodings = { ...input.chart_spec.encodings };
+        delete encodings.column;
+        delete encodings.row;
+        const child = {
+          ...input,
+          data: { values: panelRows },
+          chart_spec: { ...input.chart_spec, encodings, baseSize: { width: 300, height: 220 } },
+        };
+        const childReference = await renderChart(child, 'vegalite', { format: 'png', scale: 1 });
+        const spec = assembleExcel(child);
+        if (sharedCategoryAxis) spec.categoryAxis = { ...spec.categoryAxis, ...sharedCategoryAxis };
+        spec.valueAxis = { ...spec.valueAxis, ...sharedValueAxis };
+        spec.width = clamp(childReference.width, 280, 420);
+        spec.height = clamp(childReference.height, 200, 300);
+        const facetLabel = [rowValue, columnValue].filter(Boolean).join(' · ');
+        spec.title = `${facetLabel} — ${spec.title}`;
+        const path = join(tempDir, `${item.name}-panel-${panels.length}.png`);
+        writeFileSync(path, await renderExcelArtifact(spec, { scale }));
+        panels.push(path);
+      }
+    }
+
+    const gridColumns = item.name === 'row-scatter' ? 1 : item.name === 'wrapped-line' ? 5 : columns.length;
+    const gridRows = Math.ceil(panels.length / gridColumns);
+    const compositionPath = join(outDir, `${item.name}.excel-composition.png`);
+    runMagick(['montage', ...panels, '-tile', `${gridColumns}x${gridRows}`, '-geometry', '900x650+16+16', '-background', 'white', compositionPath]);
+    results.push({
+      name: item.name,
+      label: item.label,
+      referenceSize: { width: reference.width, height: reference.height },
+      panelCount: panels.length,
+      grid: `${gridColumns}x${gridRows}`,
+      productionResult: 'rejected',
+      rejection,
+      sharedCategoryAxis,
+      sharedValueAxis,
+    });
+    console.log(`  ✓ ${item.label}: production rejected; experimental ${gridColumns}×${gridRows} composition rendered`);
+  }
+
+  for (let page = 0; page < 2; page += 1) {
+    const pageCases = results.slice(page * 2, page * 2 + 2);
+    const rows = [];
+    const header = join(tempDir, `facet-header-${page}.png`);
+    runMagick(['-size', '2000x100', '-background', 'white', '-fill', 'black', '-font', 'Helvetica-Bold', '-pointsize', '26', '-gravity', 'center', `label:Facet audit · canonical Flint vs experimental native-chart composition · page ${page + 1}`, header]);
+    rows.push(header);
+    for (const result of pageCases) {
+      const label = join(tempDir, `facet-${result.name}-label.png`);
+      const reference = join(tempDir, `facet-${result.name}-reference.png`);
+      const excel = join(tempDir, `facet-${result.name}-excel.png`);
+      const row = join(tempDir, `facet-${result.name}-row.png`);
+      runMagick(['-size', '300x700', '-background', 'white', '-fill', 'black', '-font', 'Helvetica', '-pointsize', '19', '-gravity', 'center', `label:${result.label}\n${result.panelCount} native charts · ${result.grid}\nProduction: explicit rejection`, label]);
+      runMagick([join(outDir, `${result.name}.reference.png`), '-resize', '850x680', '-background', 'white', '-gravity', 'center', '-extent', '850x700', reference]);
+      runMagick([join(outDir, `${result.name}.excel-composition.png`), '-resize', '850x680', '-background', 'white', '-gravity', 'center', '-extent', '850x700', excel]);
+      runMagick([label, reference, excel, '+append', row]);
+      rows.push(row);
+    }
+    runMagick([...rows, '-append', join(outDir, `facet-layout-${page + 1}.png`)]);
+  }
+  return results;
+}
+
+console.log('Dynamic layout audit');
+const dynamic = await runDynamicAudit();
+console.log('Facet audit');
+const facets = await runFacetAudit();
+writeFileSync(join(outDir, 'summary.json'), JSON.stringify({ dynamic, facets }, null, 2) + '\n');
+rmSync(tempDir, { recursive: true, force: true });
+console.log(`\nWrote ${dynamic.length} dynamic cases and ${facets.length} facet cases to ${outDir}`);
\ No newline at end of file
diff --git a/test-harness/excel/evaluations/make-audit-sheets.mjs b/test-harness/excel/evaluations/make-audit-sheets.mjs
new file mode 100644
index 00000000..fc89004f
--- /dev/null
+++ b/test-harness/excel/evaluations/make-audit-sheets.mjs
@@ -0,0 +1,185 @@
+import fs from 'fs';
+import path, { dirname } from 'path';
+import { execFileSync } from 'child_process';
+import { fileURLToPath } from 'url';
+
+/** @typedef {{ type: string, name: string, ok: boolean, skipped?: boolean, referenceBackend?: string }} GalleryResult */
+
+const here = dirname(fileURLToPath(import.meta.url));
+const summaryPath = path.join(here, 'out', 'gallery', 'summary.json');
+const outDir = path.join(here, 'out', 'audit-sheets');
+const familyFilter = process.argv[2];
+
+if (!familyFilter) fs.rmSync(outDir, { recursive: true, force: true });
+fs.mkdirSync(outDir, { recursive: true });
+
+const summary = /** @type {GalleryResult[]} */ (JSON.parse(fs.readFileSync(summaryPath, 'utf8')));
+const allOkEntries = summary.filter(e => e.ok === true && !e.skipped);
+const okEntries = familyFilter
+  ? allOkEntries.filter(e => e.type === familyFilter)
+  : allOkEntries;
+if (familyFilter && okEntries.length === 0) {
+  throw new Error(`No successful gallery entries for family "${familyFilter}".`);
+}
+
+console.log(`Total OK entries loaded from summary: ${okEntries.length}`);
+
+// Group by family (type)
+/** @type {Record} */
+const groups = {};
+for (const entry of okEntries) {
+  if (!groups[entry.type]) {
+    groups[entry.type] = [];
+  }
+  groups[entry.type].push(entry);
+}
+
+// Print and track verification
+let totalPairsProcessed = 0;
+const allSeenCases = new Set();
+/** @type {Array<{ name: string, cases: string[] }>} */
+const allSheets = [];
+
+// Helper function to run magick with arguments array
+/** @param {string[]} args */
+function runMagick(args) {
+  try {
+    execFileSync('magick', args, { stdio: 'pipe' });
+  } catch (error) {
+    const err = /** @type {Error & { stderr?: Buffer }} */ (error);
+    console.error(`Error running magick with args: ${args.join(' ')}`);
+    console.error(err.stderr ? err.stderr.toString() : err.message);
+    throw err;
+  }
+}
+
+// Ensure temp directory exists
+const tempDir = path.join(here, 'out', 'temp-sheets');
+fs.rmSync(tempDir, { recursive: true, force: true });
+fs.mkdirSync(tempDir, { recursive: true });
+
+// Process each family
+for (const [family, cases] of Object.entries(groups)) {
+  console.log(`\nFamily: ${family} (${cases.length} cases)`);
+  
+  // Sort cases to have standard ordering
+  cases.sort((a, b) => a.name.localeCompare(b.name));
+  
+  // Chunk cases into groups of at most 4
+  const chunkSize = 4;
+  const chunks = [];
+  for (let i = 0; i < cases.length; i += chunkSize) {
+    chunks.push(cases.slice(i, i + chunkSize));
+  }
+  
+  for (let chunkIdx = 0; chunkIdx < chunks.length; chunkIdx++) {
+    const chunk = chunks[chunkIdx];
+    const sheetNum = String(chunkIdx + 1).padStart(2, '0');
+    const sheetName = `${family}-${sheetNum}.png`;
+    const sheetPath = path.join(outDir, sheetName);
+    allSheets.push({ name: sheetName, cases: chunk.map(c => c.name) });
+    
+    console.log(`  Generating sheet ${sheetName} with ${chunk.length} cases:`);
+    const rowPaths = [];
+    
+    // Generate Column Headers
+    const col0HeaderPath = path.join(tempDir, `header_col0.png`);
+    const col1HeaderPath = path.join(tempDir, `header_col1.png`);
+    const col2HeaderPath = path.join(tempDir, `header_col2.png`);
+    const headerRowPath = path.join(tempDir, `header_row.png`);
+    
+    runMagick(['-size', '200x100', '-background', 'white', '-fill', 'black', '-font', 'Helvetica-Bold', '-pointsize', '24', '-gravity', 'center', 'label:Case', col0HeaderPath]);
+    const referenceLabel = cases[0]?.referenceBackend === 'echarts' ? 'ECharts' : 'Vega-Lite';
+    runMagick(['-size', '900x100', '-background', 'white', '-fill', 'black', '-font', 'Helvetica-Bold', '-pointsize', '28', '-gravity', 'center', `label:${referenceLabel}`, col1HeaderPath]);
+    runMagick(['-size', '900x100', '-background', 'white', '-fill', 'black', '-font', 'Helvetica-Bold', '-pointsize', '28', '-gravity', 'center', 'label:Excel', col2HeaderPath]);
+    
+    runMagick([col0HeaderPath, col1HeaderPath, col2HeaderPath, '+append', headerRowPath]);
+    rowPaths.push(headerRowPath);
+    
+    for (let i = 0; i < chunk.length; i++) {
+      const entry = chunk[i];
+      const caseName = entry.name;
+      
+      if (allSeenCases.has(`${family}/${caseName}`)) {
+        console.error(`Duplicate case detected: ${family}/${caseName}`);
+        process.exit(1);
+      }
+      allSeenCases.add(`${family}/${caseName}`);
+      totalPairsProcessed++;
+      
+      console.log(`    - ${caseName}`);
+      
+      const vlSrc = path.join(here, 'out', 'gallery', family, `${caseName}.vl.png`);
+      const excelSrc = path.join(here, 'out', 'gallery', family, `${caseName}.excel.png`);
+      
+      const labelDest = path.join(tempDir, `label_${i}.png`);
+      const vlDest = path.join(tempDir, `vl_${i}.png`);
+      const excelDest = path.join(tempDir, `excel_${i}.png`);
+      const rowDest = path.join(tempDir, `row_${i}.png`);
+      
+      // 1. Create label
+      runMagick(['-size', '200x600', '-background', 'white', '-fill', 'black', '-font', 'Helvetica-Bold', '-pointsize', '18', '-gravity', 'center', `label:${caseName}`, labelDest]);
+      
+      // 2. Normalize Vega-Lite
+      runMagick([vlSrc, '-resize', '900x600', '-background', 'white', '-gravity', 'center', '-extent', '900x600', vlDest]);
+      
+      // 3. Normalize Excel
+      runMagick([excelSrc, '-resize', '900x600', '-background', 'white', '-gravity', 'center', '-extent', '900x600', excelDest]);
+      
+      // 4. Combine into single row
+      runMagick([labelDest, vlDest, excelDest, '+append', rowDest]);
+      rowPaths.push(rowDest);
+    }
+    
+    // Combine header and rows vertically
+    runMagick([...rowPaths, '-append', sheetPath]);
+  }
+}
+
+// Clean up temp dir
+try {
+  fs.rmSync(tempDir, { recursive: true, force: true });
+} catch (e) {
+  // Ignore cleanup errors
+}
+
+console.log('\n--- VERIFICATION REPORT ---');
+console.log(`Total sheets generated: ${allSheets.length}`);
+console.log(`Total cases processed and verified: ${totalPairsProcessed}`);
+if (totalPairsProcessed === okEntries.length) {
+  console.log(`SUCCESS: Exactly ${okEntries.length} supported case pairs were included!`);
+} else {
+  console.error(`ERROR: Found ${totalPairsProcessed} cases instead of ${okEntries.length}.`);
+  process.exit(1);
+}
+
+// Double check to make sure no omissions or duplicates relative to summary ok:true cases
+const okCaseKeys = new Set(okEntries.map(e => `${e.type}/${e.name}`));
+let mismatchFound = false;
+
+for (const key of okCaseKeys) {
+  if (!allSeenCases.has(key)) {
+    console.error(`MISSING: ${key} was not included in any sheet.`);
+    mismatchFound = true;
+  }
+}
+
+for (const key of allSeenCases) {
+  if (!okCaseKeys.has(key)) {
+    console.error(`EXTRA: ${key} was included but not marked as OK in summary.`);
+    mismatchFound = true;
+  }
+}
+
+if (!mismatchFound) {
+  console.log('SUCCESS: Perfect 1-to-1 matching with ok=true entries in summary.json with zero duplicates/omissions!');
+} else {
+  console.error('ERROR: Mismatch found in included cases.');
+  process.exit(1);
+}
+
+// Print full detailed list of sheets and cases for easy auditing
+console.log('\n--- FULL SHEETS AND CASES LIST ---');
+for (const s of allSheets) {
+  console.log(`Sheet: ${s.name} (${s.cases.length} cases): [${s.cases.join(', ')}]`);
+}
diff --git a/test-harness/excel/evaluations/render-client.mjs b/test-harness/excel/evaluations/render-client.mjs
new file mode 100644
index 00000000..30e45dcd
--- /dev/null
+++ b/test-harness/excel/evaluations/render-client.mjs
@@ -0,0 +1,80 @@
+// @ts-check
+
+process.env.NODE_TLS_REJECT_UNAUTHORIZED = process.env.NODE_TLS_REJECT_UNAUTHORIZED ?? '0';
+
+const DEFAULT_SERVER = 'https://localhost:3000';
+
+/** @param {number} milliseconds */
+function wait(milliseconds) {
+  return new Promise((resolve) => setTimeout(resolve, milliseconds));
+}
+
+/**
+ * Render one versioned Excel artifact through the running Office add-in worker.
+ *
+ * @param {unknown} artifact
+ * @param {{ server?: string, scale?: number, timeoutMs?: number, retries?: number, inspectNativeChart?: boolean }} [options]
+ * @returns {Promise}
+ */
+export async function renderExcelArtifact(artifact, options = {}) {
+  const server = options.server ?? DEFAULT_SERVER;
+  const timeoutMs = options.timeoutMs ?? 60_000;
+  const retries = options.retries ?? 3;
+  let enqueue;
+
+  for (let attempt = 1; attempt <= retries; attempt += 1) {
+    try {
+      enqueue = await fetch(`${server}/enqueue`, {
+        method: 'POST',
+        headers: { 'Content-Type': 'application/json' },
+        body: JSON.stringify({
+          artifact,
+          renderOptions: {
+            scale: options.scale ?? 3,
+            inspectNativeChart: options.inspectNativeChart ?? false,
+          },
+        }),
+      });
+      break;
+    } catch (error) {
+      if (attempt === retries) throw error;
+      await wait(500 * attempt);
+    }
+  }
+
+  if (!enqueue) throw new Error(`Excel worker is unreachable at ${server}.`);
+  if (!enqueue.ok) {
+    const message = await enqueue.text();
+    throw new Error(`Excel worker rejected the artifact (${enqueue.status}): ${message}`);
+  }
+  const payload = /** @type {{ id?: unknown }} */ (await enqueue.json());
+  if (!Number.isInteger(payload.id)) throw new Error('Excel worker returned an invalid job id.');
+  const id = /** @type {number} */ (payload.id);
+  const deadline = Date.now() + timeoutMs;
+
+  while (Date.now() < deadline) {
+    let response;
+    try {
+      response = await fetch(`${server}/result?id=${id}`);
+    } catch (error) {
+      if (Date.now() + 500 >= deadline) throw error;
+      await wait(300);
+      continue;
+    }
+    if (response.status === 200) {
+      const result = /** @type {{ pngBase64?: unknown, error?: unknown }} */ (await response.json());
+      if (result.error) throw new Error(String(result.error));
+      if (typeof result.pngBase64 !== 'string' || result.pngBase64.length === 0) {
+        throw new Error('Excel worker returned no PNG payload.');
+      }
+      return Buffer.from(result.pngBase64, 'base64');
+    }
+    if (response.status !== 204) {
+      throw new Error(`Excel worker result polling failed with HTTP ${response.status}.`);
+    }
+    await wait(300);
+  }
+
+  await fetch(`${server}/cancel?id=${id}`, { method: 'POST' }).catch(() => {});
+  throw new Error('Timed out waiting for the Excel Office.js worker.');
+}
diff --git a/test-harness/excel/evaluations/update-examples.mjs b/test-harness/excel/evaluations/update-examples.mjs
new file mode 100644
index 00000000..7902812b
--- /dev/null
+++ b/test-harness/excel/evaluations/update-examples.mjs
@@ -0,0 +1,30 @@
+// @ts-check
+
+import { copyFileSync, existsSync, mkdirSync } from 'node:fs';
+import { dirname, join } from 'node:path';
+import { fileURLToPath } from 'node:url';
+
+const here = dirname(fileURLToPath(import.meta.url));
+const examplesDir = join(here, 'examples');
+
+const snapshots = [
+  ['out/gallery/funnel-chart/00-card5.excel.png', 'funnel.png'],
+  ['out/gallery/pyramid-chart/00-card18.excel.png', 'pyramid.png'],
+  ['out/gallery/grouped-bar-chart/14-card6.excel.png', 'grouped-bar.png'],
+  ['out/gallery/line-chart/14-card50.excel.png', 'multi-series-line.png'],
+  ['out/gallery/area-chart/01-card24.excel.png', 'stacked-area.png'],
+  ['out/gallery/radar-chart/05-card8.excel.png', 'radar.png'],
+  ['out/gallery/treemap/01-card0.excel.png', 'treemap.png'],
+  ['out/gallery/sunburst-chart/02-card0.excel.png', 'sunburst.png'],
+  ['out/candlestick-audit/advanced-90-day-dense.excel.png', 'candlestick.png'],
+];
+
+mkdirSync(examplesDir, { recursive: true });
+for (const [sourceRelative, destinationName] of snapshots) {
+  const source = join(here, sourceRelative);
+  if (!existsSync(source)) {
+    throw new Error(`Missing evaluation output: ${sourceRelative}`);
+  }
+  copyFileSync(source, join(examplesDir, destinationName));
+  console.log(`updated examples/${destinationName}`);
+}
diff --git a/test-harness/excel/office-runner/officejs/icon-16.png b/test-harness/excel/office-runner/officejs/icon-16.png
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diff --git a/test-harness/excel/office-runner/officejs/icon.svg b/test-harness/excel/office-runner/officejs/icon.svg
new file mode 100644
index 00000000..49fe1007
--- /dev/null
+++ b/test-harness/excel/office-runner/officejs/icon.svg
@@ -0,0 +1,8 @@
+
+      
+      
+      
+      
+      
+      
+
diff --git a/test-harness/excel/office-runner/officejs/manifest.xml b/test-harness/excel/office-runner/officejs/manifest.xml
new file mode 100644
index 00000000..c933cb0e
--- /dev/null
+++ b/test-harness/excel/office-runner/officejs/manifest.xml
@@ -0,0 +1,93 @@
+
+
+
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+  1.0.0.0
+  Flint
+  en-US
+  
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diff --git a/test-harness/excel/evaluations/update-examples.mjs b/test-harness/excel/evaluations/update-examples.mjs
index 7902812b..c645f647 100644
--- a/test-harness/excel/evaluations/update-examples.mjs
+++ b/test-harness/excel/evaluations/update-examples.mjs
@@ -8,9 +8,9 @@ const here = dirname(fileURLToPath(import.meta.url));
 const examplesDir = join(here, 'examples');
 
 const snapshots = [
-  ['out/gallery/funnel-chart/00-card5.excel.png', 'funnel.png'],
+  ['out/gallery/waterfall-chart/02-card7.excel.png', 'waterfall.png'],
   ['out/gallery/pyramid-chart/00-card18.excel.png', 'pyramid.png'],
-  ['out/gallery/grouped-bar-chart/14-card6.excel.png', 'grouped-bar.png'],
+  ['out/gallery/grouped-bar-chart/00-card4.excel.png', 'grouped-bar.png'],
   ['out/gallery/line-chart/14-card50.excel.png', 'multi-series-line.png'],
   ['out/gallery/area-chart/01-card24.excel.png', 'stacked-area.png'],
   ['out/gallery/radar-chart/05-card8.excel.png', 'radar.png'],