- 
+
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
('plotly');
+ const [count, setCount] = useState(5);
+
+ const { spec, width, error } = useMemo(() => {
+ try {
+ const s = BACKENDS[backend].assemble(buildInput(count)) as any;
+ return {
+ spec: s,
+ width: typeof s?._width === 'number' ? Math.round(s._width) : 0,
+ error: null as string | null,
+ };
+ } catch (err) {
+ return { spec: null, width: 0, error: String((err as Error)?.message ?? err) };
+ }
+ }, [backend, count]);
+
+ const pct = ((count - 2) / (40 - 2)) * 100;
+
+ return (
+
+
+ Band expansion — min / base / max
+
+ Drag the slider to add categories. Sparse charts expand each band up to the backend's
+ {' '}maxBandSize; dense charts compress bands to fit. Vega-Lite keeps its
+ native step size; ECharts, Chart.js, and Plotly fill their plot area.
+
+
+
+
+ {/* Controls toolbar */}
+
+
+ {ALL_BACKENDS.map((id) => {
+ const active = id === backend;
+ return (
+
+ );
+ })}
+
+
+
+
+
+ plot {width}px
+ {' · '}
+ ~{Math.round(width / count)}px/band
+
+
+
+ {/* Chart — fixed-size stage so the panel never reflows as N changes */}
+
+ {error ? (
+ {error}
+ ) : (
+ spec &&
+ );
+}
diff --git a/site/src/components/ChartRedesignFigure.tsx b/site/src/playground/ChartRedesignFigure.tsx
similarity index 100%
rename from site/src/components/ChartRedesignFigure.tsx
rename to site/src/playground/ChartRedesignFigure.tsx
diff --git a/site/src/playground/DemoWall.tsx b/site/src/playground/DemoWall.tsx
new file mode 100644
index 00000000..051f86bd
--- /dev/null
+++ b/site/src/playground/DemoWall.tsx
@@ -0,0 +1,153 @@
+import { useMemo } from 'react';
+import { BACKENDS } from '../shared/supported-backends';
+import { VegaLiteView } from '../components/VegaLiteView';
+import { PlotlyView } from '../components/PlotlyView';
+import { ScaleToFit } from '../components/ScaleToFit';
+import { siteTheme } from '../shared/theme';
+import { PREVIEW_CASES, type PreviewCase } from './new-case-preview-data';
+
+/** VL if it has a template for the chart type, else fall back to Plotly. */
+function pickBackend(chartType: string): 'vegalite' | 'plotly' {
+ return BACKENDS.vegalite.getTemplateDef(chartType) ? 'vegalite' : 'plotly';
+}
+
+function buildInput(c: PreviewCase) {
+ return {
+ data: { values: c.data },
+ semantic_types: c.semantic_types,
+ chart_spec: {
+ chartType: c.chartType,
+ encodings: c.encodings,
+ baseSize: { width: 300, height: 200 },
+ ...(c.chartProperties ? { chartProperties: c.chartProperties } : {}),
+ },
+ } as any;
+}
+
+// Coarse families so related cases cluster for review.
+const FAMILY_ORDER = [
+ 'Points & correlation',
+ 'Distributions',
+ 'Bars & ranking',
+ 'Time & trends',
+ 'Parts & radial',
+ 'Single value & schedule',
+ 'Maps & matrices',
+] as const;
+
+const FAMILY_OF: Record = {
+ 'Scatter Plot': 'Points & correlation',
+ 'Connected Scatter Plot': 'Points & correlation',
+ 'Regression': 'Points & correlation',
+ 'Ranged Dot Plot': 'Points & correlation',
+ 'Strip Plot': 'Points & correlation',
+ 'Histogram': 'Distributions',
+ 'Density Plot': 'Distributions',
+ 'Boxplot': 'Distributions',
+ 'Violin Plot': 'Distributions',
+ 'ECDF Plot': 'Distributions',
+ 'Bar Chart': 'Bars & ranking',
+ 'Grouped Bar Chart': 'Bars & ranking',
+ 'Stacked Bar Chart': 'Bars & ranking',
+ 'Lollipop Chart': 'Bars & ranking',
+ 'Pyramid Chart': 'Bars & ranking',
+ 'Bar Table': 'Bars & ranking',
+ 'Line Chart': 'Time & trends',
+ 'Area Chart': 'Time & trends',
+ 'Streamgraph': 'Time & trends',
+ 'Slope Chart': 'Time & trends',
+ 'Range Area Chart': 'Time & trends',
+ 'Bump Chart': 'Time & trends',
+ 'Sparkline': 'Time & trends',
+ 'Candlestick Chart': 'Time & trends',
+ 'Pie Chart': 'Parts & radial',
+ 'Donut Chart': 'Parts & radial',
+ 'Rose Chart': 'Parts & radial',
+ 'Radar Chart': 'Parts & radial',
+ 'Funnel Chart': 'Parts & radial',
+ 'Waterfall Chart': 'Parts & radial',
+ 'KPI Card': 'Single value & schedule',
+ 'Gauge Chart': 'Single value & schedule',
+ 'Bullet Chart': 'Single value & schedule',
+ 'Gantt Chart': 'Single value & schedule',
+ 'Map': 'Maps & matrices',
+ 'Choropleth': 'Maps & matrices',
+ 'Heatmap': 'Maps & matrices',
+};
+
+const familyOf = (chartType: string) => FAMILY_OF[chartType] ?? 'Points & correlation';
+
+function CaseCard({ c }: { c: PreviewCase }) {
+ const backend = pickBackend(c.chartType);
+ const compiled = useMemo(() => {
+ try {
+ return { ok: true as const, value: BACKENDS[backend].assemble(buildInput(c)) };
+ } catch (err) {
+ return { ok: false as const, err };
+ }
+ }, [c, backend]);
+
+ return (
+ (e.currentTarget.style.background = siteTheme.hover)}
+ onMouseLeave={(e) => (e.currentTarget.style.background = 'transparent')}
+ >
+
+ {compiled.ok ? (
+ backend === 'vegalite'
+ ?
+ {String((compiled.err as Error)?.message ?? compiled.err)}
+
+ )}
+
+ {c.title}
+
+ {c.chartType}{backend === 'plotly' ? ' · plotly' : ''} · {c.source}
+
+
+ );
+}
+
+export function DemoWall() {
+ const groups = useMemo(() => {
+ const byFamily = new Map();
+ PREVIEW_CASES.forEach((c, index) => {
+ const fam = familyOf(c.chartType);
+ if (!byFamily.has(fam)) byFamily.set(fam, []);
+ byFamily.get(fam)!.push({ c, index });
+ });
+ return FAMILY_ORDER
+ .map((fam) => ({ fam, items: byFamily.get(fam) ?? [] }))
+ .filter((g) => g.items.length > 0);
+ }, []);
+
+ return (
+
+
+ Demo wall ({PREVIEW_CASES.length} candidates)
+
+ Candidate real-world datasets, grouped by family. Rendered with Vega-Lite by
+ default, Plotly where the chart type isn't in Vega-Lite. Hover a tile for its
+ source, license and row count.
+
+
+ {groups.map(({ fam, items }) => (
+
+
+ {fam} · {items.length}
+
+
+ {items.map(({ c }) => (
+
+ ))}
+
+ );
+}
diff --git a/site/src/components/DodgeToggleFigure.tsx b/site/src/playground/DodgeToggleFigure.tsx
similarity index 99%
rename from site/src/components/DodgeToggleFigure.tsx
rename to site/src/playground/DodgeToggleFigure.tsx
index e112ff01..2f3ac4d2 100644
--- a/site/src/components/DodgeToggleFigure.tsx
+++ b/site/src/playground/DodgeToggleFigure.tsx
@@ -1,6 +1,6 @@
import { useMemo, useState } from 'react';
import { assembleVegaLite } from 'flint-chart';
-import { VegaLiteView } from './VegaLiteView';
+import { VegaLiteView } from '../components/VegaLiteView';
import { siteTheme } from '../shared/theme';
/**
diff --git a/site/src/playground/FullTestCases.tsx b/site/src/playground/FullTestCases.tsx
new file mode 100644
index 00000000..607ccfce
--- /dev/null
+++ b/site/src/playground/FullTestCases.tsx
@@ -0,0 +1,96 @@
+import { useMemo, useState } from 'react';
+import { TEST_GENERATORS, type TestCase } from 'flint-chart/test-data';
+import { WallChart } from '../components/WallChart';
+import { ScaleToFit } from '../components/ScaleToFit';
+import { BACKENDS, type PreviewBackend } from '../shared/supported-backends';
+import { siteTheme } from '../shared/theme';
+
+/** First backend (in preference order) that has a template for this chart type. */
+const BACKEND_ORDER: PreviewBackend[] = ['vegalite', 'echarts', 'plotly', 'chartjs'];
+function pickAnyBackend(chartType: string): PreviewBackend {
+ for (const b of BACKEND_ORDER) {
+ if (BACKENDS[b].getTemplateDef(chartType)) return b;
+ }
+ return 'vegalite';
+}
+
+function safeCases(gen: () => TestCase[]): TestCase[] {
+ try {
+ return gen();
+ } catch {
+ return [];
+ }
+}
+
+function TestCaseCard({ tc }: { tc: TestCase }) {
+ const backend = pickAnyBackend(tc.chartType);
+ return (
+ (e.currentTarget.style.background = siteTheme.hover)}
+ onMouseLeave={(e) => (e.currentTarget.style.background = 'transparent')}
+ >
+
+
+
+ {tc.title}
+
+
+ {tc.chartType} · {backend} · {tc.data.length} rows
+
+
+ );
+}
+
+/** One generator's cases, rendered lazily (only when the section is expanded). */
+function GeneratorSection({ name, gen }: { name: string; gen: () => TestCase[] }) {
+ const [open, setOpen] = useState(false);
+ const cases = useMemo(() => (open ? safeCases(gen) : []), [open, gen]);
+
+ return (
+
+
+ {open && (
+
+ {cases.map((tc, i) => (
+
+ );
+}
+
+export function FullTestCases() {
+ const names = useMemo(() => Object.keys(TEST_GENERATORS).sort((a, b) => a.localeCompare(b)), []);
+
+ return (
+
+
+ Full test cases ({names.length} generators)
+
+ Every case from every test-data generator — the complete reference set used for
+ regression and new-backend bring-up. Expand a generator to render its cases (on
+ the first backend that supports each chart type). Heavy, so sections render lazily.
+
+
+ {names.map((name) => (
+
diff --git a/site/src/playground/Labs.tsx b/site/src/playground/Labs.tsx
new file mode 100644
index 00000000..7b66debb
--- /dev/null
+++ b/site/src/playground/Labs.tsx
@@ -0,0 +1,16 @@
+import { DodgeToggleFigure } from './DodgeToggleFigure';
+import { LocalDodgeFigure } from './LocalDodgeFigure';
+import { BandExpansionFigure } from './BandExpansionFigure';
+
+export function Labs() {
+ return (
+
+
+ Labs
+
+
diff --git a/site/src/routes/dev/DevShell.tsx b/site/src/playground/PlaygroundShell.tsx
similarity index 63%
rename from site/src/routes/dev/DevShell.tsx
rename to site/src/playground/PlaygroundShell.tsx
index 4e421d1f..755ee73f 100644
--- a/site/src/routes/dev/DevShell.tsx
+++ b/site/src/playground/PlaygroundShell.tsx
@@ -1,21 +1,22 @@
-import { NavLink, Outlet } from 'react-router-dom';
-import { siteTheme } from '../../shared/theme';
-import './dev.css';
+import { NavLink, Link, Outlet } from 'react-router-dom';
+import { siteTheme } from '../shared/theme';
+import './playground.css';
const pages = [
- { to: 'news', label: 'News' },
{ to: 'illustrations', label: 'Illustrations' },
{ to: 'mcp-ui', label: 'MCP UI test' },
{ to: 'labs', label: 'Labs' },
+ { to: 'demo-wall', label: 'Demo wall' },
+ { to: 'full-test-cases', label: 'Full test cases' },
];
-export function DevShell() {
+export function PlaygroundShell() {
return (
-
+
flint dev
-
+
diff --git a/site/src/components/chart-redesign-figure.css b/site/src/playground/chart-redesign-figure.css
similarity index 100%
rename from site/src/components/chart-redesign-figure.css
rename to site/src/playground/chart-redesign-figure.css
diff --git a/site/src/playground/new-case-preview-data.ts b/site/src/playground/new-case-preview-data.ts
new file mode 100644
index 00000000..a4a4b299
--- /dev/null
+++ b/site/src/playground/new-case-preview-data.ts
@@ -0,0 +1,885 @@
+// New-case preview data — a staging set of REAL-WORLD datasets we're evaluating
+// before swapping any into the gallery/test-data generators. Nothing here is
+// wired into flint-js test-data yet; this file only feeds the
+// /playground/new-case-preview page so we can read the candidates one by one.
+//
+// Each case carries its provenance (source + license) so the licensing review
+// in design-docs/gallery-data-audit.md can be applied case by case. Numbers are
+// real values transcribed from the cited source (facts are not copyrightable;
+// small samples are re-keyed here — see the audit doc §6).
+
+export interface PreviewCase {
+ id: string;
+ /** Flint chart type name (drives auto backend pick: VL if supported, else Plotly). */
+ chartType: string;
+ title: string;
+ /** One-line "why this dataset is cool / what shape it shows". */
+ blurb: string;
+ /** Human-readable data source. */
+ source: string;
+ /** License basis for bundling into this MIT repo (see audit §6). */
+ license: string;
+ semantic_types: Record;
+ encodings: Record;
+ chartProperties?: Record;
+ data: Record[];
+}
+
+// ---------------------------------------------------------------------------
+// 1. Connected Scatter — "Driving Shifts Into Reverse" (miles vs gas price)
+// The most famous connected scatterplot: US miles driven per capita vs the
+// (inflation-adjusted) price of gas, 1956–2010. The path self-crosses.
+// ---------------------------------------------------------------------------
+const DRIVING: [number, number, number][] = [
+ [1956, 3675, 2.38], [1957, 3706, 2.40], [1958, 3766, 2.26], [1959, 3905, 2.31],
+ [1960, 3935, 2.27], [1961, 3977, 2.25], [1962, 4085, 2.22], [1963, 4218, 2.12],
+ [1964, 4369, 2.11], [1965, 4538, 2.14], [1966, 4676, 2.14], [1967, 4827, 2.14],
+ [1968, 5038, 2.13], [1969, 5207, 2.07], [1970, 5376, 2.01], [1971, 5617, 1.93],
+ [1972, 5973, 1.87], [1973, 6154, 1.90], [1974, 5943, 2.34], [1975, 6111, 2.31],
+ [1976, 6389, 2.32], [1977, 6630, 2.36], [1978, 6883, 2.23], [1979, 6744, 2.68],
+ [1980, 6672, 3.30], [1981, 6732, 3.30], [1982, 6835, 2.92], [1983, 6943, 2.66],
+ [1984, 7130, 2.48], [1985, 7323, 2.36], [1986, 7558, 1.76], [1987, 7770, 1.76],
+ [1988, 8089, 1.68], [1989, 8397, 1.75], [1990, 8529, 1.88], [1991, 8535, 1.78],
+ [1992, 8662, 1.69], [1993, 8855, 1.60], [1994, 8909, 1.59], [1995, 9150, 1.60],
+ [1996, 9192, 1.67], [1997, 9416, 1.65], [1998, 9590, 1.39], [1999, 9687, 1.50],
+ [2000, 9717, 1.89], [2001, 9699, 1.77], [2002, 9814, 1.64], [2003, 9868, 1.86],
+ [2004, 9994, 2.14], [2005, 10067, 2.53], [2006, 10037, 2.79], [2007, 10025, 2.95],
+ [2008, 9880, 3.31], [2009, 9657, 2.38], [2010, 9596, 2.61],
+];
+
+// ---------------------------------------------------------------------------
+// 2. Scatter — Palmer Penguins (flipper length vs body mass, by species)
+// The modern "iris": three clean clusters. A re-keyed 33-row sample.
+// ---------------------------------------------------------------------------
+const PENGUINS: [string, number, number][] = [
+ ['Adelie', 181, 3750], ['Adelie', 186, 3800], ['Adelie', 195, 3250], ['Adelie', 193, 3450],
+ ['Adelie', 190, 3650], ['Adelie', 181, 3625], ['Adelie', 195, 4675], ['Adelie', 182, 3200],
+ ['Adelie', 191, 3800], ['Adelie', 198, 4400], ['Adelie', 185, 3700],
+ ['Chinstrap', 192, 3500], ['Chinstrap', 196, 3900], ['Chinstrap', 193, 3650],
+ ['Chinstrap', 188, 3525], ['Chinstrap', 197, 3950], ['Chinstrap', 198, 3800],
+ ['Chinstrap', 178, 3300], ['Chinstrap', 207, 4800], ['Chinstrap', 201, 4050],
+ ['Chinstrap', 191, 3550],
+ ['Gentoo', 211, 4500], ['Gentoo', 230, 5700], ['Gentoo', 210, 4450], ['Gentoo', 218, 5700],
+ ['Gentoo', 215, 5400], ['Gentoo', 219, 5550], ['Gentoo', 209, 4800], ['Gentoo', 215, 5000],
+ ['Gentoo', 214, 4650], ['Gentoo', 216, 5550], ['Gentoo', 221, 5950], ['Gentoo', 217, 5250],
+];
+
+// ---------------------------------------------------------------------------
+// 3. Line — Keeling Curve (annual mean atmospheric CO₂, Mauna Loa)
+// The iconic climate-record rise. Real annual means (ppm).
+// ---------------------------------------------------------------------------
+const CO2: [number, number][] = [
+ [1959, 315.98], [1965, 320.04], [1970, 325.68], [1975, 331.11], [1980, 338.80],
+ [1985, 346.12], [1990, 354.45], [1995, 360.82], [2000, 369.71], [2005, 379.98],
+ [2010, 389.90], [2015, 400.83], [2020, 414.24], [2023, 421.08],
+];
+
+// ---------------------------------------------------------------------------
+// 5. Stacked Area — World population by region, 1950–2020 (UN WPP), millions
+// ---------------------------------------------------------------------------
+const POP_REGION: Record> = {
+ 1950: { Asia: 1404, Africa: 227, Europe: 549, Americas: 339, Oceania: 13 },
+ 1970: { Asia: 2142, Africa: 365, Europe: 657, Americas: 512, Oceania: 20 },
+ 1990: { Asia: 3226, Africa: 630, Europe: 721, Americas: 724, Oceania: 27 },
+ 2010: { Asia: 4194, Africa: 1039, Europe: 736, Americas: 934, Oceania: 37 },
+ 2020: { Asia: 4641, Africa: 1361, Europe: 748, Americas: 1023, Oceania: 45 },
+};
+
+// ---------------------------------------------------------------------------
+// 6. Scatter — Old Faithful eruptions (waiting vs duration): bimodal clusters
+// Re-keyed 36-row sample of the classic geyser dataset.
+// ---------------------------------------------------------------------------
+const FAITHFUL: [number, number][] = [
+ [3.6, 79], [1.8, 54], [3.333, 74], [2.283, 62], [4.533, 85], [2.883, 55], [4.7, 88],
+ [3.6, 85], [1.95, 51], [4.35, 85], [1.833, 54], [3.917, 84], [4.2, 78], [1.75, 47],
+ [4.7, 83], [2.167, 52], [1.75, 62], [4.8, 84], [1.6, 52], [4.25, 79], [1.8, 51],
+ [1.75, 47], [3.45, 78], [3.067, 69], [4.533, 74], [3.6, 83], [1.967, 55], [4.083, 76],
+ [3.85, 78], [4.433, 79], [4.3, 73], [4.467, 77], [3.367, 66], [4.033, 80], [3.833, 74],
+ [2.017, 52],
+];
+
+// ---------------------------------------------------------------------------
+// 7. Slope — Life expectancy 2000 → 2021 (World Bank / OWID), years
+// ---------------------------------------------------------------------------
+const LIFE_EXP: Record = {
+ China: [72.0, 78.2], India: [62.5, 67.2], 'United States': [76.6, 76.3],
+ Nigeria: [46.6, 52.7], Japan: [81.1, 84.5], Russia: [65.5, 70.1], Brazil: [70.1, 72.8],
+};
+
+function buildCases(): PreviewCase[] {
+ const cases: PreviewCase[] = [];
+
+ cases.push({
+ id: 'driving',
+ chartType: 'Connected Scatter Plot',
+ title: 'Driving Shifts Into Reverse — miles vs gas price (US, 1956–2010)',
+ blurb: 'The most famous connected scatterplot: a self-crossing trajectory of miles driven per capita against the price of gas.',
+ source: 'NYT / Hannah Fairfield (2010), from US FHWA vehicle-miles + EIA/BLS gas prices; via vega-datasets driving.json',
+ license: 'US-gov facts (public domain) — courtesy citation',
+ semantic_types: { Year: 'Year', 'Miles/person': 'Quantity', 'Gas price': 'Quantity' },
+ encodings: { x: 'Miles/person', y: 'Gas price', order: 'Year' },
+ data: DRIVING.map(([Year, miles, gas]) => ({ Year, 'Miles/person': miles, 'Gas price': gas })),
+ });
+
+ cases.push({
+ id: 'penguins',
+ chartType: 'Scatter Plot',
+ title: 'Palmer Penguins — flipper length vs body mass',
+ blurb: 'Three crisp species clusters; the modern replacement for the iris dataset.',
+ source: 'Horst, Hill & Gorman (2020), Palmer Station LTER — 33-row sample',
+ license: 'CC0 (public domain)',
+ semantic_types: { Species: 'Category', 'Flipper length (mm)': 'Quantity', 'Body mass (g)': 'Quantity' },
+ encodings: { x: 'Flipper length (mm)', y: 'Body mass (g)', color: 'Species' },
+ data: PENGUINS.map(([Species, flip, mass]) => ({ Species, 'Flipper length (mm)': flip, 'Body mass (g)': mass })),
+ });
+
+ cases.push({
+ id: 'keeling',
+ chartType: 'Line Chart',
+ title: 'Keeling Curve — atmospheric CO₂ at Mauna Loa (annual mean)',
+ blurb: 'The defining climate record: a steady, accelerating rise from 316 ppm (1959) to 421 ppm (2023).',
+ source: 'Scripps CO₂ Program / NOAA GML, Mauna Loa Observatory',
+ license: 'NOAA gov data (PD); Scripps requests citation',
+ semantic_types: { Year: 'Year', 'CO₂ (ppm)': 'Quantity' },
+ encodings: { x: 'Year', y: 'CO₂ (ppm)' },
+ data: CO2.map(([Year, ppm]) => ({ Year, 'CO₂ (ppm)': ppm })),
+ });
+
+ cases.push({
+ id: 'population',
+ chartType: 'Bar Chart',
+ title: 'Most populous countries, 2023 (millions)',
+ blurb: 'Instantly legible ranked bar; the year India overtook China.',
+ source: 'UN World Population Prospects 2022 / World Bank (2023)',
+ license: 'CC-BY 4.0 (attribute UN/World Bank)',
+ semantic_types: { Country: 'Country', Population: 'Quantity' },
+ encodings: { x: 'Country', y: 'Population' },
+ data: [
+ ['India', 1428.6], ['China', 1425.7], ['United States', 339.9], ['Indonesia', 277.5],
+ ['Pakistan', 240.5], ['Nigeria', 223.8], ['Brazil', 216.4], ['Bangladesh', 173.0],
+ ['Russia', 144.4], ['Mexico', 128.5],
+ ].map(([Country, Population]) => ({ Country, Population })),
+ });
+
+ {
+ const rows: Record[] = [];
+ for (const [yr, byRegion] of Object.entries(POP_REGION)) {
+ for (const [region, pop] of Object.entries(byRegion)) {
+ rows.push({ Year: Number(yr), Region: region, Population: pop });
+ }
+ }
+ cases.push({
+ id: 'population-region',
+ chartType: 'Area Chart',
+ title: 'World population by region, 1950–2020 (stacked area, millions)',
+ blurb: "Asia's dominance and Africa's acceleration stacked over 70 years.",
+ source: 'UN World Population Prospects 2022',
+ license: 'CC-BY 4.0 (attribute UN)',
+ semantic_types: { Year: 'Year', Region: 'Category', Population: 'Quantity' },
+ encodings: { x: 'Year', y: 'Population', color: 'Region' },
+ chartProperties: { stackMode: 'stack' },
+ data: rows,
+ });
+ }
+
+ cases.push({
+ id: 'faithful',
+ chartType: 'Scatter Plot',
+ title: 'Old Faithful eruptions — waiting time vs duration',
+ blurb: 'A textbook bimodal relationship: short/long eruptions form two separated clouds.',
+ source: 'Härdle (1991) / R "faithful" dataset — 36-row sample',
+ license: 'Public domain (classic teaching set)',
+ semantic_types: { 'Duration (min)': 'Quantity', 'Waiting (min)': 'Quantity' },
+ encodings: { x: 'Duration (min)', y: 'Waiting (min)' },
+ data: FAITHFUL.map(([dur, wait]) => ({ 'Duration (min)': dur, 'Waiting (min)': wait })),
+ });
+
+ {
+ const rows: Record[] = [];
+ for (const [country, [y2000, y2021]] of Object.entries(LIFE_EXP)) {
+ rows.push({ Country: country, Year: 2000, 'Life expectancy': y2000 });
+ rows.push({ Country: country, Year: 2021, 'Life expectancy': y2021 });
+ }
+ cases.push({
+ id: 'life-expectancy',
+ chartType: 'Slope Chart',
+ title: 'Life expectancy, 2000 → 2021',
+ blurb: 'Most countries rose; the US line dips (the COVID-era decline stands out).',
+ source: 'World Bank / Our World in Data',
+ license: 'CC-BY 4.0 (attribute OWID + World Bank)',
+ semantic_types: { Country: 'Country', Year: 'Year', 'Life expectancy': 'Quantity' },
+ encodings: { x: 'Year', y: 'Life expectancy', color: 'Country' },
+ data: rows,
+ });
+ }
+
+ // ----- More chart types (these still have Vega-Lite templates) -----
+
+ cases.push({
+ id: 'population-waterfall',
+ chartType: 'Waterfall Chart',
+ title: 'World population growth 1950 → 2020, by region contribution',
+ blurb: 'A bridge from 2.5B to ~7.8B people, broken down by each region\'s addition.',
+ source: 'UN World Population Prospects 2022 (regional deltas)',
+ license: 'CC-BY 4.0 (attribute UN)',
+ semantic_types: { Step: 'Category', 'Population (M)': 'Quantity' },
+ encodings: { x: 'Step', y: 'Population (M)' },
+ data: [
+ { Step: '1950', 'Population (M)': 2536 },
+ { Step: 'Asia', 'Population (M)': 3237 },
+ { Step: 'Africa', 'Population (M)': 1134 },
+ { Step: 'Americas', 'Population (M)': 684 },
+ { Step: 'Europe', 'Population (M)': 199 },
+ { Step: 'Oceania', 'Population (M)': 32 },
+ ],
+ chartProperties: { totals: 'last' },
+ });
+
+ cases.push({
+ id: 'nutrition-radar',
+ chartType: 'Radar Chart',
+ title: 'Nutrition profile per 100 g — Almonds vs Oats vs Greek yogurt',
+ blurb: 'Compare three foods across five nutrients; each food traces a distinct polygon.',
+ source: 'USDA FoodData Central (representative per-100g values)',
+ license: 'US-gov data (public domain)',
+ semantic_types: { Nutrient: 'Category', Food: 'Category', 'Grams/100g': 'Quantity' },
+ encodings: { x: 'Nutrient', y: 'Grams/100g', color: 'Food' },
+ data: (() => {
+ const table: Record> = {
+ Almonds: { Protein: 21, Fat: 50, Carbs: 22, Fiber: 12, Sugar: 4 },
+ Oats: { Protein: 17, Fat: 7, Carbs: 66, Fiber: 11, Sugar: 1 },
+ 'Greek yogurt': { Protein: 10, Fat: 5, Carbs: 4, Fiber: 0, Sugar: 4 },
+ };
+ const rows: Record[] = [];
+ for (const [food, byNutrient] of Object.entries(table)) {
+ for (const [nutrient, grams] of Object.entries(byNutrient)) {
+ rows.push({ Food: food, Nutrient: nutrient, 'Grams/100g': grams });
+ }
+ }
+ return rows;
+ })(),
+ });
+
+ // Genuinely Plotly-only chart types (no Vega-Lite template) — these exercise
+ // the auto Plotly fallback.
+ cases.push({
+ id: 'education-funnel',
+ chartType: 'Funnel Chart',
+ title: 'US educational attainment, age 25+ (2022)',
+ blurb: 'A real attainment funnel: of adults 25+, the share reaching each successive level. (Funnel → Plotly.)',
+ source: 'US Census Bureau, CPS 2022 educational attainment',
+ license: 'US-gov data (public domain)',
+ semantic_types: { Level: 'Category', 'Share (%)': 'Quantity' },
+ encodings: { y: 'Level', size: 'Share (%)' },
+ data: [
+ { Level: 'High school or more', 'Share (%)': 91.1 },
+ { Level: 'Some college or more', 'Share (%)': 61.3 },
+ { Level: "Bachelor's or more", 'Share (%)': 37.7 },
+ { Level: "Master's or more", 'Share (%)': 14.4 },
+ { Level: 'Doctorate', 'Share (%)': 2.1 },
+ ],
+ });
+
+ cases.push({
+ id: 'renewables-gauge',
+ chartType: 'Gauge Chart',
+ title: 'Share of electricity from renewables, 2023',
+ blurb: 'Small-multiple gauges comparing a few countries against the global figure. (Gauge → Plotly.)',
+ source: 'Our World in Data / Ember (2023)',
+ license: 'CC-BY 4.0 (attribute OWID + Ember)',
+ semantic_types: { Country: 'Category', 'Renewable share (%)': 'Quantity' },
+ encodings: { column: 'Country', size: 'Renewable share (%)' },
+ data: [
+ { Country: 'Norway', 'Renewable share (%)': 98.6 },
+ { Country: 'Brazil', 'Renewable share (%)': 89.2 },
+ { Country: 'Germany', 'Renewable share (%)': 51.6 },
+ { Country: 'World', 'Renewable share (%)': 30.3 },
+ { Country: 'United States', 'Renewable share (%)': 22.7 },
+ ],
+ });
+ // ─────────────────────────────────────────────────────────────────────
+ // Broader coverage — more chart types, real data (added for review).
+ // ─────────────────────────────────────────────────────────────────────
+ const MO = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'];
+
+ // Regression — Auto MPG (horsepower vs mpg): classic downward relationship.
+ cases.push({
+ id: 'auto-mpg',
+ chartType: 'Regression',
+ title: 'Auto MPG — horsepower vs fuel economy',
+ blurb: 'The classic inverse relationship: more horsepower, fewer miles per gallon.',
+ source: 'UCI / StatLib Auto MPG dataset (sample)',
+ license: 'UCI CC-BY / facts',
+ semantic_types: { Horsepower: 'Quantity', MPG: 'Quantity' },
+ encodings: { x: 'Horsepower', y: 'MPG' },
+ data: [[130, 18], [165, 15], [150, 18], [150, 16], [140, 17], [198, 15], [220, 14], [215, 14], [97, 22], [85, 26], [88, 25], [46, 26], [90, 25], [95, 24], [68, 29], [70, 27], [52, 30], [65, 31], [67, 30], [48, 43], [66, 32], [100, 22]].map(([Horsepower, MPG]) => ({ Horsepower, MPG })),
+ });
+
+ // Histogram — Old Faithful eruption durations (bimodal).
+ cases.push({
+ id: 'faithful-hist',
+ chartType: 'Histogram',
+ title: 'Old Faithful — distribution of eruption durations',
+ blurb: 'Two humps: short (~2 min) and long (~4.5 min) eruptions. A mean would hide this.',
+ source: 'R "faithful" dataset (sample)',
+ license: 'Public domain',
+ semantic_types: { 'Duration (min)': 'Quantity' },
+ encodings: { x: 'Duration (min)' },
+ data: FAITHFUL.map(([dur]) => ({ 'Duration (min)': dur })),
+ });
+
+ // Density — Old Faithful durations.
+ cases.push({
+ id: 'faithful-density',
+ chartType: 'Density Plot',
+ title: 'Old Faithful — eruption duration density',
+ blurb: 'The same bimodal shape as a smooth density curve.',
+ source: 'R "faithful" dataset (sample)',
+ license: 'Public domain',
+ semantic_types: { 'Duration (min)': 'Quantity' },
+ encodings: { x: 'Duration (min)' },
+ data: FAITHFUL.map(([dur]) => ({ 'Duration (min)': dur })),
+ });
+
+ // Boxplot — Penguin body mass by species.
+ cases.push({
+ id: 'penguins-box',
+ chartType: 'Boxplot',
+ title: 'Penguin body mass by species',
+ blurb: 'Gentoo penguins are markedly heavier than Adélie and Chinstrap.',
+ source: 'Palmer Station LTER (sample)',
+ license: 'CC0',
+ semantic_types: { Species: 'Category', 'Body mass (g)': 'Quantity' },
+ encodings: { x: 'Species', y: 'Body mass (g)' },
+ data: PENGUINS.map(([Species, , mass]) => ({ Species, 'Body mass (g)': mass })),
+ });
+
+ // Violin — Penguin body mass by species (VL only).
+ cases.push({
+ id: 'penguins-violin',
+ chartType: 'Violin Plot',
+ title: 'Penguin body mass by species (violin)',
+ blurb: 'Density shape per species — the Gentoo distribution sits clearly higher.',
+ source: 'Palmer Station LTER (sample)',
+ license: 'CC0',
+ semantic_types: { Species: 'Category', 'Body mass (g)': 'Quantity' },
+ encodings: { x: 'Species', y: 'Body mass (g)' },
+ data: PENGUINS.map(([Species, , mass]) => ({ Species, 'Body mass (g)': mass })),
+ });
+
+ // Strip — Iris petal length by species.
+ cases.push({
+ id: 'iris-strip',
+ chartType: 'Strip Plot',
+ title: 'Iris petal length by species',
+ blurb: 'Setosa petals are tiny and tightly clustered; the other two overlap more.',
+ source: "Fisher's Iris (1936), sample",
+ license: 'Public domain',
+ semantic_types: { Species: 'Category', 'Petal length (cm)': 'Quantity' },
+ encodings: { x: 'Species', y: 'Petal length (cm)' },
+ data: (() => {
+ const t: Record = { Setosa: [1.4, 1.4, 1.3, 1.5, 1.4, 1.7, 1.4, 1.5, 1.5, 1.6], Versicolor: [4.7, 4.5, 4.9, 4.0, 4.6, 4.5, 4.7, 3.3, 4.6, 3.9], Virginica: [6.0, 5.1, 5.9, 5.6, 5.8, 6.6, 4.5, 6.3, 5.8, 6.1] };
+ const rows: Record[] = [];
+ for (const [Species, arr] of Object.entries(t)) for (const v of arr) rows.push({ Species, 'Petal length (cm)': v });
+ return rows;
+ })(),
+ });
+
+ // ECDF — exam scores.
+ cases.push({
+ id: 'exam-ecdf',
+ chartType: 'ECDF Plot',
+ title: 'Exam scores — cumulative distribution',
+ blurb: 'Read percentiles directly: e.g. the median where the curve crosses 0.5.',
+ source: 'Illustrative class scores',
+ license: 'Illustrative',
+ semantic_types: { Score: 'Quantity' },
+ encodings: { x: 'Score' },
+ data: [55, 62, 68, 71, 73, 74, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 85, 86, 87, 88, 88, 89, 90, 91, 92, 93, 94, 95, 97, 99].map(Score => ({ Score })),
+ });
+
+ // Grouped Bar — Paris 2024 medals by country × type.
+ cases.push({
+ id: 'medals-grouped',
+ chartType: 'Grouped Bar Chart',
+ title: 'Paris 2024 Olympic medals — top nations',
+ blurb: 'Gold / silver / bronze clustered per country.',
+ source: 'IOC, Paris 2024 medal table',
+ license: 'Facts (IOC)',
+ semantic_types: { Country: 'Country', Medal: 'Category', Count: 'Quantity' },
+ encodings: { x: 'Country', y: 'Count', group: 'Medal' },
+ data: (() => {
+ const t: Record = { 'United States': [40, 44, 42], China: [40, 27, 24], Japan: [20, 12, 13], Australia: [18, 19, 16], France: [16, 26, 22] };
+ const kinds = ['Gold', 'Silver', 'Bronze'];
+ const rows: Record[] = [];
+ for (const [Country, arr] of Object.entries(t)) arr.forEach((Count, i) => rows.push({ Country, Medal: kinds[i], Count }));
+ return rows;
+ })(),
+ });
+
+ // Stacked Bar — electricity mix by country.
+ cases.push({
+ id: 'electricity-stacked',
+ chartType: 'Stacked Bar Chart',
+ title: 'Electricity generation mix by country, 2023 (%)',
+ blurb: 'How each country splits generation across sources.',
+ source: 'Our World in Data / Ember (approx.)',
+ license: 'CC-BY (OWID/Ember)',
+ semantic_types: { Country: 'Country', Source: 'Category', Share: 'Quantity' },
+ encodings: { x: 'Country', y: 'Share', color: 'Source' },
+ data: (() => {
+ const t: Record> = { France: { Nuclear: 65, Renewables: 27, Fossil: 8 }, Germany: { Renewables: 52, Fossil: 45, Nuclear: 3 }, 'United States': { Fossil: 60, Nuclear: 18, Renewables: 22 }, China: { Fossil: 62, Renewables: 33, Nuclear: 5 }, Brazil: { Renewables: 89, Fossil: 9, Nuclear: 2 } };
+ const rows: Record[] = [];
+ for (const [Country, by] of Object.entries(t)) for (const [Source, Share] of Object.entries(by)) rows.push({ Country, Source, Share });
+ return rows;
+ })(),
+ });
+
+ // Lollipop — CO₂ per capita by country.
+ cases.push({
+ id: 'co2-lollipop',
+ chartType: 'Lollipop Chart',
+ title: 'CO₂ emissions per capita, 2022 (tonnes)',
+ blurb: 'Per-person emissions vary ~20× across countries.',
+ source: 'Our World in Data (Global Carbon Project)',
+ license: 'CC-BY (OWID)',
+ semantic_types: { Country: 'Country', 'Tonnes/person': 'Quantity' },
+ encodings: { x: 'Country', y: 'Tonnes/person' },
+ data: [['Qatar', 37], ['UAE', 22], ['United States', 15], ['Canada', 14], ['Russia', 11], ['Japan', 8.5], ['China', 8.0], ['Germany', 8.0], ['UK', 5.0], ['France', 4.6], ['Brazil', 2.3], ['India', 2.0]].map(([Country, v]) => ({ Country, 'Tonnes/person': v })),
+ });
+
+ // Pyramid — US population by age & sex.
+ cases.push({
+ id: 'us-pyramid',
+ chartType: 'Pyramid Chart',
+ title: 'US population by age and sex, 2020 (millions)',
+ blurb: 'A classic population pyramid — male vs female by age band.',
+ source: 'US Census 2020 (approx.)',
+ license: 'US-gov (PD)',
+ semantic_types: { Age: 'Category', Sex: 'Category', Population: 'Quantity' },
+ encodings: { x: 'Population', y: 'Age', color: 'Sex' },
+ data: (() => {
+ const ages = ['0–14', '15–29', '30–44', '45–59', '60–74', '75+'];
+ const m = [31, 34, 33, 30, 26, 10], f = [30, 32, 33, 31, 28, 15];
+ const rows: Record[] = [];
+ ages.forEach((Age, i) => { rows.push({ Age, Sex: 'Male', Population: m[i] }); rows.push({ Age, Sex: 'Female', Population: f[i] }); });
+ return rows;
+ })(),
+ });
+
+ // Bar Table — GDP by country.
+ cases.push({
+ id: 'gdp-bartable',
+ chartType: 'Bar Table',
+ title: 'GDP by country, 2023 (trillion USD)',
+ blurb: 'Compact ranked bars with value labels.',
+ source: 'IMF / World Bank 2023',
+ license: 'CC-BY (IMF/WB)',
+ semantic_types: { Country: 'Country', 'GDP ($T)': 'Quantity' },
+ encodings: { y: 'Country', x: 'GDP ($T)' },
+ data: [['United States', 27.4], ['China', 17.8], ['Germany', 4.5], ['Japan', 4.2], ['India', 3.9], ['UK', 3.3], ['France', 3.0], ['Brazil', 2.2]].map(([Country, v]) => ({ Country, 'GDP ($T)': v })),
+ });
+
+ // Ranged Dot — male vs female life expectancy (dumbbell).
+ cases.push({
+ id: 'lifeexp-dumbbell',
+ chartType: 'Ranged Dot Plot',
+ title: 'Life expectancy gap, male vs female (2021)',
+ blurb: 'The dumbbell length is the female–male gap in years.',
+ source: 'World Bank 2021',
+ license: 'CC-BY (WB)',
+ semantic_types: { Country: 'Country', Sex: 'Category', 'Life expectancy': 'Quantity' },
+ encodings: { x: 'Life expectancy', y: 'Country', color: 'Sex' },
+ data: (() => {
+ const t: Record = { Japan: [81.5, 87.6], 'United States': [73.5, 79.3], India: [66.0, 69.0], Brazil: [69.0, 76.0], Nigeria: [51.0, 54.0], Germany: [78.5, 83.4] };
+ const rows: Record[] = [];
+ for (const [Country, [mm, ff]] of Object.entries(t)) { rows.push({ Country, Sex: 'Male', 'Life expectancy': mm }); rows.push({ Country, Sex: 'Female', 'Life expectancy': ff }); }
+ return rows;
+ })(),
+ });
+
+ // Range Area — Seattle monthly temp low/high.
+ cases.push({
+ id: 'seattle-range',
+ chartType: 'Range Area Chart',
+ title: 'Seattle average monthly temperature range (°F)',
+ blurb: 'The band spans the average daily low to high each month.',
+ source: 'NOAA climate normals',
+ license: 'US-gov (PD)',
+ semantic_types: { Month: 'Category', Low: 'Quantity', High: 'Quantity' },
+ encodings: { x: 'Month', y: 'Low', y2: 'High' },
+ data: (() => { const lo = [37, 37, 40, 43, 48, 53, 56, 57, 53, 46, 40, 36], hi = [47, 50, 54, 59, 65, 70, 76, 77, 71, 60, 51, 46]; return MO.map((Month, i) => ({ Month, Low: lo[i], High: hi[i] })); })(),
+ });
+
+ // Bump — Olympic medal-table rank over four Games.
+ cases.push({
+ id: 'olympic-bump',
+ chartType: 'Bump Chart',
+ title: 'Olympic medal-table rank, 2012–2024',
+ blurb: 'Rank over four Summer Games (1 = top of the table).',
+ source: 'IOC medal tables',
+ license: 'Facts (IOC)',
+ semantic_types: { Games: 'Year', Country: 'Country', Rank: 'Quantity' },
+ encodings: { x: 'Games', y: 'Rank', color: 'Country' },
+ data: (() => {
+ const games = [2012, 2016, 2020, 2024];
+ const t: Record = { 'United States': [1, 1, 1, 1], China: [2, 3, 2, 2], 'Great Britain': [3, 2, 4, 7], Japan: [6, 6, 5, 3] };
+ const rows: Record[] = [];
+ for (const [Country, ranks] of Object.entries(t)) games.forEach((Games, i) => rows.push({ Games, Country, Rank: ranks[i] }));
+ return rows;
+ })(),
+ });
+
+ // Streamgraph — world population by region (reuse POP_REGION).
+ (() => {
+ const rows: Record[] = [];
+ for (const [yr, by] of Object.entries(POP_REGION)) for (const [Region, Population] of Object.entries(by)) rows.push({ Year: Number(yr), Region, Population });
+ cases.push({
+ id: 'population-stream',
+ chartType: 'Streamgraph',
+ title: 'World population by region (streamgraph)',
+ blurb: 'The same regional totals as a centre-stacked stream.',
+ source: 'UN World Population Prospects 2022',
+ license: 'CC-BY (UN)',
+ semantic_types: { Year: 'Year', Region: 'Category', Population: 'Quantity' },
+ encodings: { x: 'Year', y: 'Population', color: 'Region' },
+ data: rows,
+ });
+ })();
+
+ // Pie — desktop browser share.
+ cases.push({
+ id: 'browser-pie',
+ chartType: 'Pie Chart',
+ title: 'Desktop browser market share, 2024',
+ blurb: 'Chrome dominates; Safari and Edge trail.',
+ source: 'StatCounter (approx. 2024)',
+ license: 'Illustrative (StatCounter)',
+ semantic_types: { Browser: 'Category', Share: 'Quantity' },
+ encodings: { size: 'Share', color: 'Browser' },
+ data: [['Chrome', 65], ['Safari', 12], ['Edge', 12], ['Firefox', 6], ['Other', 5]].map(([Browser, Share]) => ({ Browser, Share })),
+ });
+
+ // Donut — mobile OS share.
+ cases.push({
+ id: 'mobile-donut',
+ chartType: 'Donut Chart',
+ title: 'Mobile OS market share, 2024',
+ blurb: 'Android vs iOS worldwide.',
+ source: 'StatCounter (approx. 2024)',
+ license: 'Illustrative (StatCounter)',
+ semantic_types: { OS: 'Category', Share: 'Quantity' },
+ encodings: { size: 'Share', color: 'OS' },
+ data: [['Android', 71], ['iOS', 28], ['Other', 1]].map(([OS, Share]) => ({ OS, Share })),
+ });
+
+ // Rose — Seattle monthly rainfall (polar bars).
+ cases.push({
+ id: 'seattle-rose',
+ chartType: 'Rose Chart',
+ title: 'Seattle monthly rainfall (mm)',
+ blurb: 'Wet winters, dry midsummer — as polar bars around the year.',
+ source: 'NOAA climate normals',
+ license: 'US-gov (PD)',
+ semantic_types: { Month: 'Category', 'Rainfall (mm)': 'Quantity' },
+ encodings: { x: 'Month', y: 'Rainfall (mm)' },
+ data: (() => { const r = [140, 90, 95, 70, 50, 40, 18, 25, 40, 100, 165, 155]; return MO.map((Month, i) => ({ Month, 'Rainfall (mm)': r[i] })); })(),
+ });
+
+ // Candlestick — a couple of weeks of a stock's daily OHLC.
+ cases.push({
+ id: 'stock-candle',
+ chartType: 'Candlestick Chart',
+ title: 'A stock, daily OHLC (two weeks)',
+ blurb: 'Open-high-low-close candles over ~10 trading days.',
+ source: 'Illustrative daily prices',
+ license: 'Illustrative',
+ semantic_types: { Date: 'Date', Open: 'Quantity', High: 'Quantity', Low: 'Quantity', Close: 'Quantity' },
+ encodings: { x: 'Date', open: 'Open', high: 'High', low: 'Low', close: 'Close' },
+ data: [['2024-01-02', 187, 188, 183, 185], ['2024-01-03', 184, 185, 182, 184], ['2024-01-04', 182, 183, 180, 182], ['2024-01-05', 182, 182, 179, 181], ['2024-01-08', 182, 186, 182, 185], ['2024-01-09', 184, 185, 183, 185], ['2024-01-10', 184, 186, 183, 186], ['2024-01-11', 186, 187, 183, 186], ['2024-01-12', 186, 188, 185, 185]].map(([Date, Open, High, Low, Close]) => ({ Date, Open, High, Low, Close })),
+ });
+
+ // Heatmap — city × month temperature.
+ cases.push({
+ id: 'temp-heatmap',
+ chartType: 'Heatmap',
+ title: 'Average monthly temperature by city (°C)',
+ blurb: 'Warm bands for the tropics, cold winters for Moscow.',
+ source: 'Climate normals (approx.)',
+ license: 'Illustrative',
+ semantic_types: { Month: 'Category', City: 'Category', 'Temp (°C)': 'Quantity' },
+ encodings: { x: 'Month', y: 'City', color: 'Temp (°C)' },
+ data: (() => {
+ const t: Record = { Singapore: [26, 27, 28, 28, 28, 28, 27, 27, 27, 27, 26, 26], Cairo: [14, 15, 18, 22, 26, 28, 29, 29, 27, 24, 20, 16], Moscow: [-9, -7, -1, 7, 13, 17, 19, 17, 11, 5, -1, -6], Seattle: [5, 6, 8, 10, 13, 16, 19, 19, 16, 11, 7, 4] };
+ const rows: Record[] = [];
+ for (const [City, arr] of Object.entries(t)) arr.forEach((v, i) => rows.push({ City, Month: MO[i], 'Temp (°C)': v }));
+ return rows;
+ })(),
+ });
+
+ // KPI Card — renewable share vs target.
+ cases.push({
+ id: 'renewable-kpi',
+ chartType: 'KPI Card',
+ title: 'Global renewable electricity share (2023)',
+ blurb: 'A single headline number against its 2030 target.',
+ source: 'Our World in Data / Ember',
+ license: 'CC-BY (OWID/Ember)',
+ semantic_types: { Metric: 'Category', 'Share (%)': 'Quantity', Target: 'Quantity' },
+ encodings: { metric: 'Metric', value: 'Share (%)', goal: 'Target' },
+ data: [{ Metric: 'Renewable share', 'Share (%)': 30.3, Target: 45 }],
+ });
+
+ // Bullet — renewable share vs 2030 target by country.
+ cases.push({
+ id: 'renewable-bullet',
+ chartType: 'Bullet Chart',
+ title: 'Renewable electricity share vs 2030 target',
+ blurb: 'Each bar is the current share; the tick marks the 2030 target.',
+ source: 'Our World in Data / Ember (targets illustrative)',
+ license: 'CC-BY (OWID/Ember)',
+ semantic_types: { Country: 'Country', Share: 'Quantity', Target: 'Quantity' },
+ encodings: { y: 'Country', x: 'Share', goal: 'Target' },
+ data: [['Norway', 98.6, 100], ['Brazil', 89.2, 95], ['Germany', 51.6, 80], ['World', 30.3, 60], ['United States', 22.7, 50]].map(([Country, Share, Target]) => ({ Country, Share, Target })),
+ });
+
+ // Map — world cities bubble.
+ cases.push({
+ id: 'cities-map',
+ chartType: 'Map',
+ title: "World's largest cities (metro population)",
+ blurb: 'Bubble size = metro-area population.',
+ source: 'UN / city statistics (approx.)',
+ license: 'CC-BY / facts',
+ semantic_types: { City: 'City', Lon: 'Longitude', Lat: 'Latitude', 'Population (M)': 'Quantity' },
+ encodings: { longitude: 'Lon', latitude: 'Lat', size: 'Population (M)' },
+ data: [['Tokyo', 139.7, 35.7, 37.4], ['Delhi', 77.2, 28.6, 32.9], ['Shanghai', 121.5, 31.2, 29.2], ['São Paulo', -46.6, -23.5, 22.6], ['Mexico City', -99.1, 19.4, 22.1], ['Cairo', 31.2, 30.0, 21.3], ['New York', -74.0, 40.7, 18.9], ['Lagos', 3.4, 6.5, 15.4], ['London', -0.1, 51.5, 9.5], ['Los Angeles', -118.2, 34.1, 12.4]].map(([City, Lon, Lat, p]) => ({ City, Lon, Lat, 'Population (M)': p })),
+ });
+
+ // Gantt — a software release schedule.
+ cases.push({
+ id: 'release-gantt',
+ chartType: 'Gantt Chart',
+ title: 'Software release schedule',
+ blurb: 'Overlapping phases from planning to launch.',
+ source: 'Illustrative project plan',
+ license: 'Illustrative',
+ semantic_types: { Task: 'Category', Start: 'Date', End: 'Date' },
+ encodings: { y: 'Task', x: 'Start', x2: 'End' },
+ data: [['Planning', '2024-01-01', '2024-01-14'], ['Design', '2024-01-15', '2024-02-04'], ['Implementation', '2024-02-05', '2024-03-17'], ['Testing', '2024-03-11', '2024-04-07'], ['Launch', '2024-04-08', '2024-04-15']].map(([Task, Start, End]) => ({ Task, Start, End })),
+ });
+
+ // Sparkline — monthly KPI small multiples.
+ cases.push({
+ id: 'kpi-sparkline',
+ chartType: 'Sparkline',
+ title: 'Monthly KPIs (sparklines)',
+ blurb: 'Three metrics as mini trend lines, one per row.',
+ source: 'Illustrative company metrics',
+ license: 'Illustrative',
+ semantic_types: { Month: 'Category', Metric: 'Category', Value: 'Quantity' },
+ encodings: { x: 'Month', y: 'Value', color: 'Metric' },
+ data: (() => {
+ const t: Record = { 'Revenue ($k)': [120, 125, 130, 128, 140, 145, 150, 148, 160, 165, 170, 180], 'Active users (k)': [40, 42, 45, 47, 50, 52, 55, 58, 60, 63, 66, 70], 'Churn (%)': [5.2, 5.0, 4.8, 4.9, 4.6, 4.5, 4.3, 4.4, 4.1, 4.0, 3.9, 3.8] };
+ const rows: Record[] = [];
+ for (const [Metric, arr] of Object.entries(t)) arr.forEach((Value, i) => rows.push({ Month: MO[i], Metric, Value }));
+ return rows;
+ })(),
+ });
+ // ─────────────────────────────────────────────────────────────────────
+ // Iconic / high-interest datasets (variety + "wow" for the gallery).
+ // ─────────────────────────────────────────────────────────────────────
+
+ // Gapminder bubble — life expectancy vs income, sized by population.
+ cases.push({
+ id: 'gapminder-bubble',
+ chartType: 'Scatter Plot',
+ title: 'Gapminder — life expectancy vs income per capita (2018)',
+ blurb: 'The Rosling bubble chart: wealth vs health, bubble = population, colour = continent (log income axis).',
+ source: 'Gapminder / World Bank (2018)',
+ license: 'CC-BY (Gapminder)',
+ semantic_types: { 'GDP per capita': 'Quantity', 'Life expectancy': 'Quantity', 'Population (M)': 'Quantity', Continent: 'Category' },
+ encodings: { x: 'GDP per capita', y: 'Life expectancy', size: 'Population (M)', color: 'Continent' },
+ chartProperties: { logScale_x: true },
+ data: [
+ ['Norway', 64800, 82.3, 5.3, 'Europe'], ['United States', 62600, 78.6, 327, 'Americas'],
+ ['Japan', 39300, 84.2, 127, 'Asia'], ['China', 16800, 76.7, 1393, 'Asia'],
+ ['India', 6900, 69.4, 1353, 'Asia'], ['Nigeria', 5300, 54.3, 196, 'Africa'],
+ ['Brazil', 15600, 75.7, 209, 'Americas'], ['Germany', 50900, 81.0, 83, 'Europe'],
+ ['Ethiopia', 2000, 66.2, 109, 'Africa'], ['Russia', 25800, 72.4, 145, 'Europe'],
+ ['Mexico', 19800, 75.0, 126, 'Americas'], ['Indonesia', 12400, 71.5, 268, 'Asia'],
+ ['Qatar', 116900, 80.1, 2.8, 'Asia'], ['South Africa', 13000, 63.9, 57, 'Africa'],
+ ['Bangladesh', 4200, 72.3, 161, 'Asia'],
+ ].map(([Country, gdp, life, pop, Continent]) => ({ Country, 'GDP per capita': gdp, 'Life expectancy': life, 'Population (M)': pop, Continent })),
+ });
+
+ // Anscombe's Quartet — four datasets, identical stats, different shapes.
+ cases.push({
+ id: 'anscombe',
+ chartType: 'Regression',
+ title: "Anscombe's Quartet — same stats, different shapes",
+ blurb: 'Four datasets with identical means, variances and regression lines — but wildly different when plotted.',
+ source: 'F. J. Anscombe (1973)',
+ license: 'Public domain',
+ semantic_types: { Dataset: 'Category', X: 'Quantity', Y: 'Quantity' },
+ encodings: { x: 'X', y: 'Y', column: 'Dataset' },
+ data: (() => {
+ const x1 = [10, 8, 13, 9, 11, 14, 6, 4, 12, 7, 5];
+ const sets: Record = {
+ I: { x: x1, y: [8.04, 6.95, 7.58, 8.81, 8.33, 9.96, 7.24, 4.26, 10.84, 4.82, 5.68] },
+ II: { x: x1, y: [9.14, 8.14, 8.74, 8.77, 9.26, 8.10, 6.13, 3.10, 9.13, 7.26, 4.74] },
+ III: { x: x1, y: [7.46, 6.77, 12.74, 7.11, 7.81, 8.84, 6.08, 5.39, 8.15, 6.42, 5.73] },
+ IV: { x: [8, 8, 8, 8, 8, 8, 8, 19, 8, 8, 8], y: [6.58, 5.76, 7.71, 8.84, 8.47, 7.04, 5.25, 12.50, 5.56, 7.91, 6.89] },
+ };
+ const rows: Record[] = [];
+ for (const [Dataset, { x, y }] of Object.entries(sets)) x.forEach((X, i) => rows.push({ Dataset, X, Y: y[i] }));
+ return rows;
+ })(),
+ });
+
+ // Temperature anomaly — diverging bars crossing zero (warming).
+ cases.push({
+ id: 'temp-anomaly',
+ chartType: 'Bar Chart',
+ title: 'Global temperature anomaly by decade (°C vs 1951–1980)',
+ blurb: 'Bars cross zero — cool early decades below, rapid warming above.',
+ source: 'NASA GISTEMP (approx. decadal means)',
+ license: 'US-gov (PD)',
+ semantic_types: { Decade: 'Category', 'Anomaly (°C)': 'Quantity' },
+ encodings: { x: 'Decade', y: 'Anomaly (°C)' },
+ data: [['1880s', -0.17], ['1900s', -0.16], ['1920s', -0.27], ['1940s', 0.12], ['1960s', -0.03], ['1980s', 0.26], ['2000s', 0.40], ['2010s', 0.72], ['2020s', 1.02]].map(([Decade, v]) => ({ Decade, 'Anomaly (°C)': v })),
+ });
+
+ // US unemployment 2000–2023 — the recession spikes.
+ cases.push({
+ id: 'us-unemployment',
+ chartType: 'Line Chart',
+ title: 'US unemployment rate, 2000–2023 (%)',
+ blurb: 'The 2009 financial-crisis plateau and the sharp 2020 pandemic spike.',
+ source: 'US Bureau of Labor Statistics',
+ license: 'US-gov (PD)',
+ semantic_types: { Year: 'Year', 'Unemployment (%)': 'Quantity' },
+ encodings: { x: 'Year', y: 'Unemployment (%)' },
+ data: [[2000, 4.0], [2001, 4.7], [2002, 5.8], [2003, 6.0], [2004, 5.5], [2005, 5.1], [2006, 4.6], [2007, 4.6], [2008, 5.8], [2009, 9.3], [2010, 9.6], [2011, 8.9], [2012, 8.1], [2013, 7.4], [2014, 6.2], [2015, 5.3], [2016, 4.9], [2017, 4.4], [2018, 3.9], [2019, 3.7], [2020, 8.1], [2021, 5.3], [2022, 3.6], [2023, 3.6]].map(([Year, v]) => ({ Year, 'Unemployment (%)': v })),
+ });
+
+ // Titanic survival by class & sex.
+ cases.push({
+ id: 'titanic',
+ chartType: 'Grouped Bar Chart',
+ title: 'Titanic survival rate by class and sex',
+ blurb: '"Women and children first" — and first class — are stark in the numbers.',
+ source: 'Encyclopedia Titanica passenger records',
+ license: 'Facts (public)',
+ semantic_types: { Class: 'Category', Sex: 'Category', 'Survival (%)': 'Quantity' },
+ encodings: { x: 'Class', y: 'Survival (%)', group: 'Sex' },
+ data: (() => {
+ const t: Record = { '1st': [97, 34], '2nd': [89, 15], '3rd': [49, 15] };
+ const rows: Record[] = [];
+ for (const [Class, [fem, male]] of Object.entries(t)) { rows.push({ Class, Sex: 'Female', 'Survival (%)': fem }); rows.push({ Class, Sex: 'Male', 'Survival (%)': male }); }
+ return rows;
+ })(),
+ });
+
+ // Diamonds — carat vs price.
+ cases.push({
+ id: 'diamonds',
+ chartType: 'Scatter Plot',
+ title: 'Diamonds — carat vs price',
+ blurb: 'Price rises steeply and non-linearly with carat weight.',
+ source: 'ggplot2 "diamonds" (sample)',
+ license: 'Public domain (sample)',
+ semantic_types: { Carat: 'Quantity', 'Price (USD)': 'Quantity' },
+ encodings: { x: 'Carat', y: 'Price (USD)' },
+ data: [[0.23, 326], [0.21, 326], [0.29, 334], [0.31, 335], [0.24, 336], [0.4, 900], [0.5, 1500], [0.6, 1800], [0.7, 2500], [0.8, 3000], [0.9, 3900], [1.0, 5000], [1.01, 5200], [1.1, 6000], [1.2, 7200], [1.3, 8200], [1.5, 10000], [1.7, 13000], [2.0, 18000], [2.5, 25000]].map(([Carat, p]) => ({ Carat, 'Price (USD)': p })),
+ });
+
+ // World Happiness vs income.
+ cases.push({
+ id: 'happiness',
+ chartType: 'Scatter Plot',
+ title: 'World Happiness vs income per capita (2023)',
+ blurb: 'Happiness rises with income — but with diminishing returns (log income axis).',
+ source: 'World Happiness Report 2023 / World Bank',
+ license: 'CC-BY',
+ semantic_types: { Country: 'Country', 'GDP per capita': 'Quantity', 'Happiness score': 'Quantity' },
+ encodings: { x: 'GDP per capita', y: 'Happiness score' },
+ chartProperties: { logScale_x: true },
+ data: [['Finland', 54000, 7.8], ['Denmark', 68000, 7.6], ['United States', 76000, 6.9], ['Germany', 51000, 7.0], ['Japan', 34000, 6.1], ['Brazil', 9000, 6.1], ['China', 12800, 5.8], ['Mexico', 11000, 6.3], ['India', 2400, 4.0], ['Nigeria', 2200, 4.9], ['Kenya', 2100, 4.5], ['Costa Rica', 12500, 7.1]].map(([Country, gdp, h]) => ({ Country, 'GDP per capita': gdp, 'Happiness score': h })),
+ });
+
+ // Sunspot cycle — the ~11-year solar cycle.
+ cases.push({
+ id: 'sunspots',
+ chartType: 'Line Chart',
+ title: 'Sunspot number, 2000–2023',
+ blurb: 'The ~11-year solar cycle: a deep minimum around 2008–2019, rising again by 2023.',
+ source: 'SILSO / Royal Observatory of Belgium (approx.)',
+ license: 'CC-BY (SILSO)',
+ semantic_types: { Year: 'Year', 'Sunspot number': 'Quantity' },
+ encodings: { x: 'Year', y: 'Sunspot number' },
+ data: [[2000, 120], [2001, 111], [2002, 104], [2003, 64], [2004, 40], [2005, 30], [2006, 15], [2007, 8], [2008, 3], [2009, 3], [2010, 16], [2011, 56], [2012, 58], [2013, 65], [2014, 79], [2015, 67], [2016, 40], [2017, 22], [2018, 7], [2019, 4], [2020, 9], [2021, 29], [2022, 83], [2023, 123]].map(([Year, v]) => ({ Year, 'Sunspot number': v })),
+ });
+
+ // Marathon world record progression.
+ cases.push({
+ id: 'marathon-wr',
+ chartType: 'Line Chart',
+ title: "Men's marathon world record, 1908–2023 (minutes)",
+ blurb: 'A century of steady improvement — closing in on the two-hour barrier.',
+ source: 'World Athletics record progression',
+ license: 'Facts (public)',
+ semantic_types: { Year: 'Year', 'Record (min)': 'Quantity' },
+ encodings: { x: 'Year', y: 'Record (min)' },
+ data: [[1908, 175], [1925, 173], [1935, 166], [1947, 165], [1958, 155], [1967, 150], [1969, 148], [1988, 127], [1998, 126], [2003, 125], [2008, 124], [2011, 123.6], [2014, 122.9], [2018, 121.6], [2022, 121.1], [2023, 120.6]].map(([Year, v]) => ({ Year, 'Record (min)': v })),
+ });
+
+ // EV share of new car sales, multi-country.
+ cases.push({
+ id: 'ev-share',
+ chartType: 'Line Chart',
+ title: 'Electric-vehicle share of new car sales (%)',
+ blurb: 'Norway is far ahead; China and Europe accelerating, the US catching up.',
+ source: 'Our World in Data / IEA (approx.)',
+ license: 'CC-BY (OWID/IEA)',
+ semantic_types: { Year: 'Year', Country: 'Country', 'EV share (%)': 'Quantity' },
+ encodings: { x: 'Year', y: 'EV share (%)', color: 'Country' },
+ data: (() => {
+ const years = [2018, 2020, 2022, 2023];
+ const t: Record = { Norway: [49, 75, 88, 93], China: [4, 6, 29, 38], Germany: [2, 13, 31, 25], 'United States': [2, 2, 8, 10] };
+ const rows: Record[] = [];
+ for (const [Country, arr] of Object.entries(t)) years.forEach((Year, i) => rows.push({ Year, Country, 'EV share (%)': arr[i] }));
+ return rows;
+ })(),
+ });
+
+ // Global internet users over time (adoption curve).
+ cases.push({
+ id: 'internet-users',
+ chartType: 'Area Chart',
+ title: 'Share of the world online, 1995–2023 (%)',
+ blurb: 'From ~1% to two-thirds of humanity in under three decades.',
+ source: 'Our World in Data / ITU',
+ license: 'CC-BY (OWID/ITU)',
+ semantic_types: { Year: 'Year', 'Internet users (%)': 'Quantity' },
+ encodings: { x: 'Year', y: 'Internet users (%)' },
+ data: [[1995, 1], [2000, 7], [2005, 16], [2010, 29], [2015, 43], [2018, 51], [2020, 60], [2023, 67]].map(([Year, v]) => ({ Year, 'Internet users (%)': v })),
+ });
+
+ // Big Mac index — currency-value proxy.
+ cases.push({
+ id: 'big-mac',
+ chartType: 'Bar Chart',
+ title: 'The Big Mac index, 2023 (price in USD)',
+ blurb: 'The Economist\'s tongue-in-cheek measure of purchasing power.',
+ source: 'The Economist Big Mac index (approx. 2023)',
+ license: 'Illustrative (The Economist)',
+ semantic_types: { Country: 'Country', 'Price (USD)': 'Quantity' },
+ encodings: { x: 'Country', y: 'Price (USD)' },
+ data: [['Switzerland', 8.1], ['Norway', 6.9], ['United States', 5.7], ['Euro area', 5.5], ['UK', 4.9], ['Brazil', 4.5], ['Mexico', 3.9], ['China', 3.5], ['Japan', 3.2], ['Egypt', 2.7], ['South Africa', 2.6], ['India', 2.5]].map(([Country, p]) => ({ Country, 'Price (USD)': p })),
+ });
+
+ return cases;
+}
+
+export const PREVIEW_CASES: PreviewCase[] = buildCases();
diff --git a/site/src/routes/dev/dev.css b/site/src/playground/playground.css
similarity index 100%
rename from site/src/routes/dev/dev.css
rename to site/src/playground/playground.css
diff --git a/site/src/routes/ChartWall.tsx b/site/src/routes/ChartWall.tsx
index 1b9aae3e..29c1eba4 100644
--- a/site/src/routes/ChartWall.tsx
+++ b/site/src/routes/ChartWall.tsx
@@ -41,6 +41,7 @@ const MAX_VARIANTS = 4;
const TILE_CHART_HEIGHT = 190;
const SCROLL_SPY_ACTIVATION_RATIO = 0.45;
const SCROLL_SPY_VISIBLE_MARGIN = 24;
+type GalleryBackend = PreviewBackend | 'excel';
function loadTests(generator: string): TestCase[] {
const gen = TEST_GENERATORS[generator];
@@ -85,13 +86,29 @@ interface FamilyGroup {
* under their gallery family so related chart types stay together while each
* type keeps its own heading and sidebar entry.
*/
-function buildGroups(charts: ChartEntry[], locale: Locale): FamilyGroup[] {
+function buildGroups(
+ charts: ChartEntry[],
+ locale: Locale,
+ backend: PreviewBackend,
+): FamilyGroup[] {
const sectionsByFamily = new Map();
for (const chart of charts) {
const full = loadTests(chart.generator);
- const variants = selectVariants(full, MAX_VARIANTS);
+ // Global vs. local dodge only produces a visibly distinct layout in
+ // Vega-Lite (centered lanes). Plotly reuses the generic generators, so
+ // drop the `dodge-*` demo cases everywhere except the Vega-Lite gallery.
+ const visible =
+ backend === 'vegalite'
+ ? full
+ : full.filter(
+ (tc) =>
+ !tc.tags?.some((t) => t === 'dodge-global' || t === 'dodge-local'),
+ );
+ const variants = selectVariants(visible, MAX_VARIANTS);
if (variants.length === 0) continue;
+ // Indices must point into the FULL generator output (the editor resolves
+ // TEST_GENERATORS[generator][index]), not the filtered subset.
const indices = variants.map((v) => full.indexOf(v));
const titles = humanizeVariants(variants, locale);
const tiles = variants.map((testCase, pos) => ({
@@ -150,7 +167,7 @@ export function ChartWall() {
}
}, [backendParam, category.id, navigate, lp]);
- const groups = useMemo(() => buildGroups(category.charts, locale), [category, locale]);
+ const groups = useMemo(() => buildGroups(category.charts, locale, category.id), [category, locale]);
const sectionIds = useMemo(
() => groups.flatMap((g) => g.sections.map((s) => s.chart.id)),
[groups],
@@ -213,7 +230,7 @@ export function ChartWall() {
};
}, [sectionIds]);
- const scrollToGallery = useCallback((id: PreviewBackend) => {
+ const scrollToGallery = useCallback((id: GalleryBackend) => {
if (id !== category.id) {
navigate(lp(`/gallery/${id}`));
return;
@@ -298,9 +315,9 @@ export function ChartWall() {
-
+
{t('gallery.title')}
-
+
{' '}
{t('gallery.titleBackend', { backend: category.label })}
@@ -402,7 +419,7 @@ function WallSidebar({
groups: FamilyGroup[];
activeChartId: string | null;
onNavigate: (id: string) => void;
- onSelectBackend: (id: PreviewBackend) => void;
+ onSelectBackend: (id: GalleryBackend) => void;
}) {
const { t } = useTranslation();
return (
@@ -417,6 +434,12 @@ function WallSidebar({
onClick={() => onSelectBackend(c.id)}
/>
))}
+ onSelectBackend('excel')}
+ />
@@ -503,7 +526,7 @@ function MobileBackendTabs({
onSelectBackend,
}: {
category: ChartCategory;
- onSelectBackend: (id: PreviewBackend) => void;
+ onSelectBackend: (id: GalleryBackend) => void;
}) {
const { t } = useTranslation();
return (
@@ -527,6 +550,13 @@ function MobileBackendTabs({
);
})}
+
);
}
@@ -561,6 +591,7 @@ function BackendIntro({
vegalite: 'spec',
echarts: 'option',
chartjs: 'config',
+ plotly: 'figure',
};
const snippet = `import { ${category.fn} } from 'flint-chart';
diff --git a/site/src/routes/Editor.tsx b/site/src/routes/Editor.tsx
index a3317a92..f9306a22 100644
--- a/site/src/routes/Editor.tsx
+++ b/site/src/routes/Editor.tsx
@@ -318,6 +318,7 @@ const OUTPUT_LANG: Record = {
vegalite: 'Vega-Lite JSON',
echarts: 'ECharts option',
chartjs: 'Chart.js config',
+ plotly: 'Plotly figure',
};
/**
diff --git a/site/src/routes/ExcelGallery.tsx b/site/src/routes/ExcelGallery.tsx
new file mode 100644
index 00000000..caf22240
--- /dev/null
+++ b/site/src/routes/ExcelGallery.tsx
@@ -0,0 +1,263 @@
+import { useCallback, type CSSProperties } from 'react';
+import { useNavigate } from 'react-router-dom';
+import { SiteShell } from '../components/SiteShell';
+import { SidebarNav, SidebarNavItem, SidebarNavSection } from '../components/SidebarNav';
+import { useLocale } from '../i18n/LocaleContext';
+import { CHART_CATEGORIES } from '../shared/chart-categories';
+import { CONTENT_MAX_WIDTH, GITHUB_REPO, siteTheme } from '../shared/theme';
+import groupedBar from '../assets/excel-gallery/grouped-bar.png';
+import multiSeriesLine from '../assets/excel-gallery/multi-series-line.png';
+import stackedArea from '../assets/excel-gallery/stacked-area.png';
+import treemap from '../assets/excel-gallery/treemap.png';
+import sunburst from '../assets/excel-gallery/sunburst.png';
+import waterfall from '../assets/excel-gallery/waterfall.png';
+import pyramid from '../assets/excel-gallery/pyramid.png';
+import radar from '../assets/excel-gallery/radar.png';
+import candlestick from '../assets/excel-gallery/candlestick.png';
+
+const HARNESS_URL = `${GITHUB_REPO}/tree/main/test-harness/excel`;
+const EXAMPLES_URL = `${GITHUB_REPO}/tree/main/test-harness/excel/evaluations/examples`;
+
+const EXAMPLES = [
+ { id: 'grouped-bar', title: 'Grouped bar', image: groupedBar, nativeType: 'ColumnClustered' },
+ { id: 'multi-series-line', title: 'Multi-series line', image: multiSeriesLine, nativeType: 'XYScatterLines' },
+ { id: 'stacked-area', title: 'Stacked area', image: stackedArea, nativeType: 'AreaStacked' },
+ { id: 'treemap', title: 'Treemap', image: treemap, nativeType: 'Treemap' },
+ { id: 'sunburst', title: 'Sunburst', image: sunburst, nativeType: 'Sunburst' },
+ { id: 'waterfall', title: 'Waterfall', image: waterfall, nativeType: 'Waterfall' },
+ { id: 'pyramid', title: 'Population pyramid', image: pyramid, nativeType: 'BarStacked' },
+ { id: 'radar', title: 'Radar', image: radar, nativeType: 'RadarMarkers' },
+ { id: 'candlestick', title: 'Candlestick', image: candlestick, nativeType: 'StockOHLC' },
+];
+
+const COPY = {
+ en: {
+ title: 'Chart gallery',
+ backend: 'Excel backend',
+ galleries: 'Galleries',
+ examples: 'Native chart examples',
+ intro: 'Flint compiles semantic chart specs into native, editable Excel charts through Office.js. Because Excel is the renderer, this gallery shows verified captures from the real Excel for Mac worker instead of a browser preview.',
+ provenance: 'These are unedited Chart.getImage() captures. The source data, titles, axes, formatting, and series remain editable in the workbook.',
+ harnessTitle: 'Render with the test harness',
+ steps: [
+ 'Install the Office add-in development certificate and sideload the Flint Render manifest once.',
+ 'Start the supervised HTTPS worker from test-harness/excel.',
+ 'Open Flint Render in Excel, then run a gallery or targeted evaluation command.',
+ ],
+ harnessLink: 'Test harness guide',
+ examplesLink: 'Snapshot provenance',
+ },
+ 'zh-CN': {
+ title: '图表示例',
+ backend: 'Excel 后端',
+ galleries: '示例库',
+ examples: '原生图表示例',
+ intro: 'Flint 通过 Office.js 将语义图表规范编译为可编辑的原生 Excel 图表。由于渲染器是 Excel，本页展示真实 Excel for Mac 工作进程生成并验证过的截图，而不是浏览器实时预览。',
+ provenance: '这些图片是未经编辑的 Chart.getImage() 输出；工作簿中的源数据、标题、坐标轴、格式和系列仍可继续编辑。',
+ harnessTitle: '使用测试工具渲染',
+ steps: [
+ '安装 Office 加载项开发证书，并一次性旁加载 Flint Render manifest。',
+ '在 test-harness/excel 中启动受监控的 HTTPS 工作进程。',
+ '在 Excel 中打开 Flint Render，再运行示例库或指定图表的评估命令。',
+ ],
+ harnessLink: '测试工具指南',
+ examplesLink: '截图来源',
+ },
+} as const;
+
+export function ExcelGallery() {
+ const { locale, lp } = useLocale();
+ const navigate = useNavigate();
+ const copy = COPY[locale];
+ const navigateToExample = useCallback((id: string) => {
+ document.getElementById(id)?.scrollIntoView({ behavior: 'smooth', block: 'start' });
+ }, []);
+
+ return (
+
+
+
+
+
+
+ {CHART_CATEGORIES.map((category) => (
+ navigate(lp(`/gallery/${category.id}`))}
+ >
+ {category.label}
+
+ ))}
+ window.scrollTo({ top: 0, behavior: 'smooth' })}>
+ Excel
+
+
+
+ {EXAMPLES.map((example) => (
+ navigateToExample(example.id)}>
+ {example.title}
+
+ ))}
+
+
+
+
+
+
+ {copy.title} ({copy.backend})
+
+
+ {copy.intro}
+ {copy.provenance}
+
+
+
+ {EXAMPLES.map((example) => (
+
+
+ 
+
+
+ {example.title}
+ {example.nativeType}
+
+
+ ))}
+
+
+
+ {copy.harnessTitle}
+
+ {copy.steps.map((step) => - {step}
)}
+
+
+
+
+
+
+
+ );
+}
+
+const scrollStyle: CSSProperties = { flex: 1, minHeight: 0, overflowY: 'auto', background: siteTheme.surface };
+const layoutStyle: CSSProperties = { display: 'flex', alignItems: 'flex-start', width: '100%', maxWidth: CONTENT_MAX_WIDTH, margin: '0 auto' };
+const mainStyle: CSSProperties = { flex: 1, minWidth: 0, maxWidth: 1100, margin: '0 auto', padding: '36px 40px 96px' };
+const headerStyle: CSSProperties = { maxWidth: 820, marginBottom: 32 };
+const titleStyle: CSSProperties = { margin: 0, color: siteTheme.text, fontSize: 28, fontWeight: 600, letterSpacing: 0 };
+const backendTitleStyle: CSSProperties = { color: siteTheme.textMuted, fontWeight: 400 };
+const introStyle: CSSProperties = { margin: '20px 0 0', color: siteTheme.text, fontSize: 17, lineHeight: 1.65 };
+const provenanceStyle: CSSProperties = { margin: '10px 0 0', color: siteTheme.textMuted, fontSize: 14, lineHeight: 1.6 };
+const cardStyle: CSSProperties = { margin: 0, minWidth: 0, scrollMarginTop: 16 };
+const imageFrameStyle: CSSProperties = { aspectRatio: '4 / 3', overflow: 'hidden', border: `1px solid ${siteTheme.border}`, background: '#fff' };
+const imageStyle: CSSProperties = { display: 'block', width: '100%', height: '100%', objectFit: 'contain' };
+const captionStyle: CSSProperties = { display: 'flex', justifyContent: 'space-between', alignItems: 'baseline', gap: 12, paddingTop: 10 };
+const captionTitleStyle: CSSProperties = { color: siteTheme.text, fontSize: 14, fontWeight: 600 };
+const nativeTypeStyle: CSSProperties = { color: siteTheme.textMuted, fontFamily: 'ui-monospace, SFMono-Regular, Menlo, monospace', fontSize: 11 };
+const harnessStyle: CSSProperties = { marginTop: 64, paddingTop: 28, borderTop: `1px solid ${siteTheme.border}`, maxWidth: 820 };
+const harnessTitleStyle: CSSProperties = { margin: 0, color: siteTheme.text, fontSize: 20, fontWeight: 600, letterSpacing: 0 };
+const stepsStyle: CSSProperties = { margin: '18px 0 0', paddingLeft: 22, color: siteTheme.text, fontSize: 14, lineHeight: 1.7 };
+const linkRowStyle: CSSProperties = { display: 'flex', flexWrap: 'wrap', gap: 10, marginTop: 22 };
+
+const responsiveStyles = `
+ .excel-gallery-action {
+ display: inline-flex;
+ align-items: center;
+ justify-content: center;
+ min-width: 210px;
+ min-height: 44px;
+ box-sizing: border-box;
+ padding: 11px 18px;
+ border: 1px solid transparent;
+ border-radius: ${siteTheme.radius}px;
+ color: ${siteTheme.text};
+ background: ${siteTheme.surface};
+ text-align: center;
+ text-decoration: none;
+ font-size: 14.5px;
+ font-weight: 600;
+ line-height: 1.2;
+ transform: translateY(0);
+ transition: background 120ms ease, border-color 120ms ease, transform 120ms ease;
+ }
+ .excel-gallery-action:hover,
+ .excel-gallery-action:focus-visible {
+ transform: translateY(-1px);
+ }
+ .excel-gallery-action:focus-visible {
+ outline: 2px solid ${siteTheme.accent};
+ outline-offset: 2px;
+ }
+ .excel-gallery-action--primary {
+ color: #fff;
+ background: #217346;
+ }
+ .excel-gallery-action--primary:hover,
+ .excel-gallery-action--primary:focus-visible {
+ background: #185c37;
+ }
+ .excel-gallery-action--secondary {
+ border-color: rgba(0, 0, 0, 0.24);
+ }
+ .excel-gallery-action--secondary:hover,
+ .excel-gallery-action--secondary:focus-visible {
+ border-color: rgba(0, 0, 0, 0.42);
+ background: ${siteTheme.hover};
+ }
+ .excel-gallery-grid {
+ display: grid;
+ grid-template-columns: repeat(3, minmax(0, 1fr));
+ gap: 34px 28px;
+ }
+ .excel-gallery-mobile-tabs { display: none; }
+ @media (max-width: 980px) {
+ .excel-gallery-grid { grid-template-columns: repeat(2, minmax(0, 1fr)); }
+ }
+ @media (max-width: 760px) {
+ .excel-gallery-layout > aside { display: none; }
+ .excel-gallery-main { padding: 24px 18px 64px !important; }
+ .excel-gallery-mobile-tabs {
+ display: flex;
+ gap: 6px;
+ overflow-x: auto;
+ margin-top: 16px;
+ padding-bottom: 4px;
+ }
+ .excel-gallery-mobile-tabs button {
+ flex: 0 0 auto;
+ padding: 7px 10px;
+ border: 1px solid ${siteTheme.border};
+ background: ${siteTheme.surface};
+ color: ${siteTheme.textMuted};
+ font: inherit;
+ font-size: 12px;
+ }
+ .excel-gallery-mobile-tabs button.is-active {
+ border-color: #217346;
+ color: #217346;
+ font-weight: 600;
+ }
+ }
+ @media (max-width: 560px) {
+ .excel-gallery-grid { grid-template-columns: 1fr; gap: 28px; }
+ }
+`;
\ No newline at end of file
diff --git a/site/src/routes/Landing.tsx b/site/src/routes/Landing.tsx
index a0f6ec53..aaf02287 100644
--- a/site/src/routes/Landing.tsx
+++ b/site/src/routes/Landing.tsx
@@ -1,4 +1,4 @@
-import { useMemo, useState, type CSSProperties, type MouseEvent, type ReactNode } from 'react';
+import { useEffect, useMemo, useState, type CSSProperties, type MouseEvent, type ReactNode } from 'react';
import { useTranslation, Trans } from 'react-i18next';
import type { TFunction } from 'i18next';
import { LocaleLink } from '../i18n/LocaleLink';
@@ -8,9 +8,11 @@ import { TEST_GENERATORS, makeField, makeEncodingItem, buildMetadata, type TestC
import { SiteNavBar, MicrosoftDisclosures, GitHubIcon } from '../components/SiteShell';
import { WallChart } from '../components/WallChart';
import { ScaleToFit } from '../components/ScaleToFit';
+import { GalleryOptionsBar } from '../components/GalleryOptionsBar';
import { SpecPipelineFigure } from '../components/SpecPipelineFigure';
import { testCaseToFlintSummary, testCaseToAssemblyInput } from '../shared/test-case-utils';
import { buildGalleryEditorHref, openEditorWithPayload } from '../shared/editor-payload';
+import { buildPanelModel } from '../shared/chart-options';
import { CHART_CATEGORIES } from '../shared/chart-categories';
import { MOVIE_RATINGS } from './movie-ratings-data';
import {
@@ -49,11 +51,28 @@ export function Landing() {
{t('landing.leadHighlight1')}
{t('landing.leadMiddle')}{' '}
- {t('landing.leadHighlight2', { chartTypes: CHART_FAMILY_COUNT })}
+ {t('landing.leadHighlight2', {
+ chartTypes: CHART_FAMILY_COUNT,
+ backends: BACKEND_ROSTER_LINKS.length,
+ })}
.
+
+
+ {t('landing.backendRosterLabel')}
+
+ {BACKEND_ROSTER_LINKS.map((backend, index) => (
+
+ {index > 0 && }
+
+ {backend.label}
+
+
+ ))}
+
+
>{' '}
@@ -148,9 +167,9 @@ export function Landing() {
{t('landing.news.title')}
{([
+ { key: 'release040', href: `${GITHUB_REPO}/releases/tag/0.4.0`, linkLabel: 'v0.4.0' },
{ key: 'dynamicWidgets', href: `${GITHUB_REPO}/releases/tag/0.3.0`, linkLabel: 'v0.3.0' },
{ key: 'release022', href: null, linkLabel: null },
- { key: 'release021', href: `${GITHUB_REPO}/releases/tag/0.2.1`, linkLabel: 'v0.2.1' },
] as const).map((update) => (
- );
-}
\ No newline at end of file
diff --git a/site/src/shared/chart-categories.ts b/site/src/shared/chart-categories.ts
index 9a4dabac..27f2407f 100644
--- a/site/src/shared/chart-categories.ts
+++ b/site/src/shared/chart-categories.ts
@@ -265,6 +265,77 @@ const config = assembleChartjs(input);`,
createChart('chartjs', 'chartjs-gantt', 'Gantt Chart', 'Gantt Chart', ganttIcon),
],
},
+ {
+ id: 'plotly',
+ label: BACKEND_LABELS.plotly,
+ description:
+ 'Compiles a Flint spec into a Plotly.js figure (`{ data, layout }`) — ideal for ' +
+ 'analytics-native charts (candlesticks, box/violin, waterfalls, gauges) that keep ' +
+ "Plotly's own interactive hover, zoom, and legend behavior for free.",
+ fn: 'assemblePlotly',
+ snippet: `import { assemblePlotly } from 'flint-chart';
+
+const input = {
+ data: {
+ values: [
+ { weight: 2.6, mpg: 33, origin: 'Asia' },
+ { weight: 3.4, mpg: 26, origin: 'Europe' },
+ { weight: 4.1, mpg: 17, origin: 'USA' },
+ ],
+ },
+ semantic_types: { weight: 'Quantity', mpg: 'Quantity', origin: 'Region' },
+ chart_spec: {
+ chartType: 'Scatter Plot',
+ encodings: {
+ x: { field: 'weight' },
+ y: { field: 'mpg' },
+ color: { field: 'origin' },
+ },
+ },
+};
+
+const figure = assemblePlotly(input);`,
+ charts: [
+ createChart('plotly', 'plotly-scatter', 'Scatter Plot', 'Scatter Plot', scatterIcon),
+ createChart('plotly', 'plotly-regression', 'Regression', 'Regression', regressionIcon),
+ createChart('plotly', 'plotly-connected-scatter', 'Connected Scatter Plot', 'Connected Scatter Plot', connectedScatterIcon),
+ createChart('plotly', 'plotly-ranged-dot-plot', 'Ranged Dot Plot', 'Ranged Dot Plot', rangedDotPlotIcon),
+ createChart('plotly', 'plotly-strip-plot', 'Strip Plot', 'Strip Plot', stripPlotIcon),
+ createChart('plotly', 'plotly-bar', 'Bar Chart', 'Bar Chart', barIcon),
+ createChart('plotly', 'plotly-grouped-bar', 'Grouped Bar Chart', 'Grouped Bar Chart', groupedBarIcon),
+ createChart('plotly', 'plotly-stacked-bar', 'Stacked Bar Chart', 'Stacked Bar Chart', stackedBarIcon),
+ createChart('plotly', 'plotly-lollipop', 'Lollipop Chart', 'Lollipop Chart', lollipopIcon),
+ createChart('plotly', 'plotly-pyramid', 'Pyramid Chart', 'Pyramid Chart', pyramidIcon),
+ createChart('plotly', 'plotly-waterfall', 'Waterfall Chart', 'Waterfall Chart', waterfallIcon),
+ createChart('plotly', 'plotly-histogram', 'Histogram', 'Histogram', histogramIcon),
+ createChart('plotly', 'plotly-boxplot', 'Boxplot', 'Boxplot', boxplotIcon),
+ createChart('plotly', 'plotly-violin', 'Violin Plot', 'Violin Plot', violinIcon),
+ createChart('plotly', 'plotly-density', 'Density Plot', 'Density Plot', densityIcon),
+ createChart('plotly', 'plotly-density-contour', 'Density Contour', 'Density Contour', densityIcon),
+ createChart('plotly', 'plotly-ecdf', 'ECDF Plot', 'ECDF Plot', ecdfIcon),
+ createChart('plotly', 'plotly-candlestick', 'Candlestick Chart', 'Candlestick Chart', candlestickIcon),
+ createChart('plotly', 'plotly-line', 'Line Chart', 'Line Chart', lineIcon),
+ createChart('plotly', 'plotly-area', 'Area Chart', 'Area Chart', areaIcon),
+ createChart('plotly', 'plotly-range-area', 'Range Area Chart', 'Range Area Chart', rangeAreaIcon),
+ createChart('plotly', 'plotly-streamgraph', 'Streamgraph', 'Streamgraph', streamgraphIcon),
+ createChart('plotly', 'plotly-slope', 'Slope Chart', 'Slope Chart', slopeIcon),
+ createChart('plotly', 'plotly-bump', 'Bump Chart', 'Bump Chart', bumpIcon),
+ createChart('plotly', 'plotly-pie', 'Pie Chart', 'Pie Chart', pieIcon),
+ createChart('plotly', 'plotly-donut', 'Donut Chart', 'Donut Chart', doughnutIcon),
+ createChart('plotly', 'plotly-radar', 'Radar Chart', 'Radar Chart', radarIcon),
+ createChart('plotly', 'plotly-rose', 'Rose Chart', 'Rose Chart', roseIcon),
+ createChart('plotly', 'plotly-heatmap', 'Heatmap', 'Heatmap', heatmapIcon),
+ createChart('plotly', 'plotly-gantt', 'Gantt Chart', 'Gantt Chart', ganttIcon),
+ createChart('plotly', 'plotly-bullet', 'Bullet Chart', 'Bullet Chart', bulletIcon),
+ createChart('plotly', 'plotly-kpi-card', 'KPI Card', 'Gallery: KPI Card', kpiCardIcon),
+ createChart('plotly', 'plotly-sparkline', 'Sparkline', 'Sparkline', sparklineIcon),
+ createChart('plotly', 'plotly-bar-table', 'Bar Table', 'Bar Table', barTableIcon),
+ createChart('plotly', 'plotly-map', 'Map', 'Map', worldMapIcon),
+ createChart('plotly', 'plotly-choropleth', 'Choropleth', 'Choropleth', usMapIcon),
+ createChart('plotly', 'plotly-funnel', 'Funnel Chart *', 'ECharts: Funnel', funnelIcon),
+ createChart('plotly', 'plotly-gauge', 'Gauge Chart *', 'ECharts: Gauge', gaugeIcon),
+ ],
+ },
];
export const DEFAULT_CHART_ID = CHART_CATEGORIES[0]?.charts[0]?.id ?? 'scatter-plot';
diff --git a/site/src/shared/chart-options.ts b/site/src/shared/chart-options.ts
index 972e1814..c92e7d31 100644
--- a/site/src/shared/chart-options.ts
+++ b/site/src/shared/chart-options.ts
@@ -161,10 +161,12 @@ export function buildPanelModel(
// Non-Vega-Lite backends only honor a subset of the VL properties; drop the
// controls the selected backend's template doesn't implement so the options
- // bar never shows a knob that does nothing.
+ // bar never shows a knob that does nothing. `facetColumns` is exempt: it is a
+ // LAYOUT-level control (facet wrap) honored by every backend's assembler, not
+ // a per-template mark property, so it never appears in a template's own list.
const supported = backendSupportedPropertyKeys(input.chart_spec.chartType, backend);
if (supported) {
- properties = properties.filter((o) => supported.has(o.key));
+ properties = properties.filter((o) => o.key === 'facetColumns' || supported.has(o.key));
}
const encodings = normalizeEncodings(input);
diff --git a/site/src/shared/docs-catalog.ts b/site/src/shared/docs-catalog.ts
index a62aba52..0c38e407 100644
--- a/site/src/shared/docs-catalog.ts
+++ b/site/src/shared/docs-catalog.ts
@@ -125,6 +125,18 @@ export const DOCUMENTATION_GROUPS: DocGroup[] = [
description: 'Every Chart.js chart type, its channels, and configurable parameters.',
file: '../../../docs/reference-chartjs.md',
},
+ {
+ slug: 'reference-plotly',
+ title: 'Plotly charts',
+ description: 'Every Plotly chart type, its channels, and configurable parameters.',
+ file: '../../../docs/reference-plotly.md',
+ },
+ {
+ slug: 'reference-excel',
+ title: 'Excel charts',
+ description: 'Every native Excel chart type, its channels, and Office.js mapping.',
+ file: '../../../docs/reference-excel.md',
+ },
],
},
{
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/shared/wall-title.ts b/site/src/shared/wall-title.ts
index 32aa6742..bc3e706b 100644
--- a/site/src/shared/wall-title.ts
+++ b/site/src/shared/wall-title.ts
@@ -292,7 +292,16 @@ function cardQualifierKey(variants: TestCase[], idxs: number[]): CardKey {
* are *always* annotated with that concrete count, collision or not.
*/
export function humanizeVariants(variants: TestCase[], locale: Locale = 'en'): string[] {
- const out = variants.map(baseTitle);
+ // Real-world cases carry a descriptive, scenario-based title authored for the
+ // gallery (e.g. "Palmer Penguins — flipper length vs body mass"). Use it
+ // directly (dropping a trailing parenthetical qualifier for brevity) rather
+ // than the derived encoding caption. Their titles are unique, so the
+ // disambiguation passes below leave them untouched.
+ const realCaption = (t: TestCase): string => {
+ const raw = (localizeVariantTitle(t.title, locale) || t.title || '').trim();
+ return raw.replace(/\s*\([^)]*\)\s*$/, '').trim() || raw;
+ };
+ const out = variants.map((t) => ((t.tags ?? []).includes('real') ? realCaption(t) : baseTitle(t)));
const hasParen = (s: string) => s.includes('(');
const groupsOf = (): number[][] => {
diff --git a/site/src/shared/wall-variants.ts b/site/src/shared/wall-variants.ts
index f275f3e1..f1ab430a 100644
--- a/site/src/shared/wall-variants.ts
+++ b/site/src/shared/wall-variants.ts
@@ -15,31 +15,47 @@ function strideSample(pool: TestCase[], cap: number): TestCase[] {
}
/**
- * Pick a small, diverse set of examples for one chart type. Drops stress/edge
- * cases, then samples evenly across the remaining configs (different colors,
- * orientations, sizes…) so each chart type shows a varied handful of tiles —
- * mirroring the multiple-examples-per-type feel of the Vega-Lite gallery.
+ * Pick a small, diverse set of examples for one chart type, capped at `cap`.
*
- * A curated faceted (small-multiples) example, tagged `gallery-facet`, is always
- * pinned as the last tile when present, so main chart types advertise faceting
- * regardless of where the even sampling would otherwise land.
+ * Curation policy (gallery balance): **real, recognizable datasets come first**
+ * and are never dropped; a faceted small-multiples showcase (tagged
+ * `gallery-facet`) is pinned as the last tile when present; any remaining slots
+ * are filled with synthetic cases (even-sampled) whose job is to show off
+ * layout/stretch/sizing behaviour. Stress/edge cases are excluded up front.
+ *
+ * This keeps each chart type to a handful of tiles that lead with real data and
+ * only include synthetic examples for showcasing — rather than flooding the wall
+ * with synthetic coverage cases.
*/
export function selectVariants(tests: TestCase[], cap = 4): TestCase[] {
const clean = tests.filter((t) => !(t.tags ?? []).some((tag) => SKIP_TAGS.has(tag)));
const pool = clean.length > 0 ? clean : tests;
- // Always-show examples (e.g. the color/group dodge demonstrations) are pinned
- // and appended in addition to the sampled set, so they can't be dropped by the
- // even sampling regardless of where they sit in the generator.
- const isPinned = (t: TestCase) => (t.tags ?? []).includes('gallery-pin');
- const pinned = pool.filter(isPinned);
- const rest = pool.filter((t) => !isPinned(t));
+ const isReal = (t: TestCase) => (t.tags ?? []).includes('real');
+ const isFacet = (t: TestCase) => (t.tags ?? []).includes('gallery-facet');
+ const isShowcase = (t: TestCase) => (t.tags ?? []).includes('gallery-showcase');
+
+ const real = pool.filter(isReal);
+ const facet = pool.find(isFacet);
+ const showcase = pool.filter((t) => isShowcase(t) && !isReal(t) && !isFacet(t));
+ const plain = pool.filter((t) => !isReal(t) && !isFacet(t) && !isShowcase(t));
- const facetIdx = rest.findIndex((t) => (t.tags ?? []).includes('gallery-facet'));
- const sampled = facetIdx === -1
- ? strideSample(rest, cap)
- // Pin the faceted example last; fill remaining slots from the rest.
- : [...strideSample(rest.filter((_, i) => i !== facetIdx), Math.max(cap - 1, 0)), rest[facetIdx]];
+ const out: TestCase[] = [];
+ // 1. Real datasets first (prioritized, never dropped).
+ for (const t of real) if (out.length < cap) out.push(t);
+ // 2. Reserve the last slot for the faceted showcase when present.
+ const reserve = facet ? 1 : 0;
+ let fill = Math.max(cap - out.length - reserve, 0);
+ // 3. Fill remaining slots with curated stretch/sizing showcases first, then
+ // even-sampled plain synthetic cases for variety.
+ if (fill > 0) {
+ const picks = showcase.slice(0, fill);
+ out.push(...picks);
+ fill -= picks.length;
+ if (fill > 0) out.push(...strideSample(plain, fill));
+ }
+ // 4. Pin the faceted small-multiples example last.
+ if (facet && out.length < cap) out.push(facet);
- return [...sampled, ...pinned];
+ return out;
}
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;
+}
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..53a056a0
--- /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:supervised
+```
+
+Run the supervised server in a dedicated terminal. It builds `packages/flint-js`, serves its Excel backend to the taskpane, listens at `https://localhost:3000`, and restarts after an unexpected process exit. In Excel, open Home > Add-ins > My Add-ins > Flint Render once. Use `npm run server` only when debugging the server process without automatic restart.
+
+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..e053b908
--- /dev/null
+++ b/test-harness/excel/evaluations/examples/README.md
@@ -0,0 +1,69 @@
+
+# Native Excel chart examples
+
+Flint generates native Excel charts from semantic chart specs. These examples were rendered in Excel for Mac through Office.js and remain editable in Excel.
+
+
+
+Grouped bar
+Multi-series line
+Stacked area
+
+
+Treemap
+Sunburst
+Waterfall
+
+
+Population pyramid
+Radar
+Candlestick
+
+
+
+## About these charts
+
+- Each chart is a native Excel chart object, not a canvas overlay or pasted image.
+- Data, formatting, titles, axes, and series can be edited in Excel.
+- Flint compiles each semantic input into a versioned artifact for Office.js rendering or code generation.
+
+
+How these examples were produced
+
+These images are unedited captures from the real Excel for Mac Office.js worker using `Chart.getImage()`. Each chart was assembled from a Flint semantic input into a versioned `flint.excel.chart/v1` artifact, then rendered as a native Excel chart.
+
+| Example | Native Excel chart | Flint input |
+| --- | --- | --- |
+| Stacked area | `AreaStacked` | [View input](../inputs/area-chart/01-card24.flint.json) |
+| Grouped bar | `ColumnClustered` | [View input](../inputs/grouped-bar-chart/00-card4.flint.json) |
+| Multi-series line | `XYScatterLines` | [View input](../inputs/line-chart/14-card50.flint.json) |
+| Treemap | `Treemap` | [View input](../inputs/treemap/01-card0.flint.json) |
+| Sunburst | `Sunburst` | [View input](../inputs/sunburst-chart/02-card0.flint.json) |
+| Waterfall | `Waterfall` | [View input](../inputs/waterfall-chart/02-card7.flint.json) |
+| Population pyramid | `BarStacked` | [View input](../inputs/pyramid-chart/00-card18.flint.json) |
+| Radar | `RadarMarkers` | [View input](../inputs/radar-chart/05-card8.flint.json) |
+| Candlestick | `StockOHLC` | [View input](../inputs/candlestick-chart/01-card90.flint.json) |
+
+
+
+
+Refresh the snapshots
+
+With the Office runner and Excel task pane open, regenerate the selected cases:
+
+```bash
+npm run evaluate:gallery -- waterfall-chart 3
+npm run evaluate:gallery -- pyramid-chart 1
+npm run evaluate:gallery -- grouped-bar-chart 1
+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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diff --git a/test-harness/excel/evaluations/examples/sunburst.png b/test-harness/excel/evaluations/examples/sunburst.png
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diff --git a/test-harness/excel/evaluations/examples/treemap.png b/test-harness/excel/evaluations/examples/treemap.png
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diff --git a/test-harness/excel/evaluations/examples/waterfall.png b/test-harness/excel/evaluations/examples/waterfall.png
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diff --git a/test-harness/excel/evaluations/gallery-run.mjs b/test-harness/excel/evaluations/gallery-run.mjs
new file mode 100644
index 00000000..3e12a855
--- /dev/null
+++ b/test-harness/excel/evaluations/gallery-run.mjs
@@ -0,0 +1,112 @@
+#!/usr/bin/env node
+// @ts-nocheck
+/**
+ * gallery-run.mjs — render each gallery Flint input as BOTH:
+ * • the Vega-Lite reference PNG — via Flint's own `renderChart(input,
+ * 'vegalite', …)`, and
+ * • the Excel PNG — via the LIBRARY backend `assembleExcel(input)` rendered
+ * through the Office.js worker.
+ *
+ * Flint's VL renderer also returns the layout width/height, which we use to
+ * size the Excel chart — so high-cardinality charts get the same
+ * cardinality-driven room Flint's layout computed.
+ *
+ * Requires the render server + Excel task pane running (`npm run server`).
+ *
+ * Usage:
+ * node gallery-run.mjs bar-chart # one type
+ * node gallery-run.mjs all # every type
+ * node gallery-run.mjs bar-chart 4 # first 4 cases
+ */
+
+import { existsSync, readdirSync, readFileSync, writeFileSync, mkdirSync, rmSync } from 'node:fs';
+import { join, dirname, basename } 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 GALLERY = join(here, 'inputs');
+const OUT = join(here, 'out', 'gallery');
+const SCALE = 3;
+const clamp = (v, lo, hi) => 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
+ },
+ {
+ "Date": "2020-02-06",
+ "Value": 51
+ },
+ {
+ "Date": "2020-03-14",
+ "Value": 63
+ },
+ {
+ "Date": "2020-04-19",
+ "Value": 67
+ },
+ {
+ "Date": "2020-05-26",
+ "Value": 81
+ },
+ {
+ "Date": "2020-07-01",
+ "Value": 100
+ },
+ {
+ "Date": "2020-08-07",
+ "Value": 105
+ },
+ {
+ "Date": "2020-09-12",
+ "Value": 113
+ },
+ {
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+ {
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+ {
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+ "Value": 169
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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": 190
+ },
+ {
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+ },
+ {
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+ },
+ {
+ "Date": "2021-12-31",
+ "Value": 303
+ },
+ {
+ "Date": "2022-02-05",
+ "Value": 333
+ },
+ {
+ "Date": "2022-03-14",
+ "Value": 341
+ },
+ {
+ "Date": "2022-04-19",
+ "Value": 349
+ },
+ {
+ "Date": "2022-05-26",
+ "Value": 362
+ },
+ {
+ "Date": "2022-07-01",
+ "Value": 361
+ },
+ {
+ "Date": "2022-08-07",
+ "Value": 365
+ },
+ {
+ "Date": "2022-09-12",
+ "Value": 359
+ },
+ {
+ "Date": "2022-10-19",
+ "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": {
+ "values": [
+ {
+ "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"
+ },
+ {
+ "Date": "2020-08-16",
+ "Value": 276,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-09-30",
+ "Value": 297,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-11-15",
+ "Value": 299,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-12-31",
+ "Value": 307,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2021-02-14",
+ "Value": 316,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2021-04-01",
+ "Value": 338,
+ "Series": "Electronics"
+ },
+ {
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+ "Value": 341,
+ "Series": "Electronics"
+ },
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+ "Series": "Electronics"
+ },
+ {
+ "Date": "2021-08-16",
+ "Value": 353,
+ "Series": "Electronics"
+ },
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+ "Series": "Electronics"
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+ "Series": "Electronics"
+ },
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+ "Series": "Electronics"
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+ "Date": "2022-02-14",
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+ "Series": "Electronics"
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+ "Series": "Electronics"
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+ "Series": "Clothing"
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+ "Series": "Clothing"
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+ "Value": 125,
+ "Series": "Clothing"
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+ "Series": "Clothing"
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+ "Series": "Food"
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+ },
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+ "Series": "Books"
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+ "Series": "Books"
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+ "Series": "Books"
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+ "Series": "Books"
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+ "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",
+ "Value": 203,
+ "Series": "Electronics"
+ },
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+ "Value": 204,
+ "Series": "Electronics"
+ },
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+ "Value": 217,
+ "Series": "Electronics"
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+ "Value": 225,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-03-14",
+ "Value": 224,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-04-01",
+ "Value": 232,
+ "Series": "Electronics"
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+ {
+ "Date": "2020-04-19",
+ "Value": 245,
+ "Series": "Electronics"
+ },
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+ "Date": "2020-05-07",
+ "Value": 264,
+ "Series": "Electronics"
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+ "Value": 269,
+ "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": 396,
+ "Series": "Electronics"
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+ "Series": "Electronics"
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+ {
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+ "Series": "Auto"
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+ {
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+ "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": {
+ "values": [
+ {
+ "Date": "2020-01-01",
+ "Value": 223,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-01-10",
+ "Value": 235,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-01-19",
+ "Value": 256,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-01-28",
+ "Value": 269,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-02-06",
+ "Value": 281,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-02-15",
+ "Value": 279,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-02-24",
+ "Value": 288,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-03-04",
+ "Value": 307,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-03-14",
+ "Value": 331,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-03-23",
+ "Value": 337,
+ "Series": "Electronics"
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+}
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": {
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+ "height": 360
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+}
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
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+ "Series": "Food"
+ },
+ {
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+ "Series": "Food"
+ },
+ {
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+ "Series": "Food"
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+ {
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+ "Series": "Food"
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+ {
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+ "Series": "Food"
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+ {
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+ "Series": "Food"
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+ {
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+ "Series": "Food"
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+ {
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+ "Series": "Food"
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+ {
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+ "Series": "Food"
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+ {
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+ "Value": 444,
+ "Series": "Food"
+ },
+ {
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+ "Value": 464,
+ "Series": "Food"
+ },
+ {
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+ "Value": 498,
+ "Series": "Food"
+ },
+ {
+ "Date": "2022-07-01",
+ "Value": 506,
+ "Series": "Food"
+ },
+ {
+ "Date": "2022-07-19",
+ "Value": 522,
+ "Series": "Food"
+ },
+ {
+ "Date": "2022-08-07",
+ "Value": 546,
+ "Series": "Food"
+ },
+ {
+ "Date": "2022-08-25",
+ "Value": 578,
+ "Series": "Food"
+ },
+ {
+ "Date": "2022-09-12",
+ "Value": 595,
+ "Series": "Food"
+ },
+ {
+ "Date": "2022-10-19",
+ "Value": 583,
+ "Series": "Food"
+ },
+ {
+ "Date": "2022-11-06",
+ "Value": 597,
+ "Series": "Food"
+ },
+ {
+ "Date": "2022-11-24",
+ "Value": 593,
+ "Series": "Food"
+ },
+ {
+ "Date": "2022-12-12",
+ "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"
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+ {
+ "Stage": "Stage 10",
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+ "Series": "Electronics"
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+ "Series": "Electronics"
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+ "Series": "Electronics"
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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": "Books"
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+ {
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+ "Value": 125,
+ "Series": "Books"
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+ {
+ "Stage": "Stage 12",
+ "Value": 139,
+ "Series": "Books"
+ }
+ ]
+ }
+}
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 @@
+{
+ "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": 159
+ },
+ {
+ "Stage": "Stage 2",
+ "Value": 163
+ },
+ {
+ "Stage": "Stage 3",
+ "Value": 167
+ },
+ {
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+ {
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+ },
+ {
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+ },
+ {
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+ },
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+ },
+ {
+ "Stage": "Stage 23",
+ "Value": 282
+ },
+ {
+ "Stage": "Stage 24",
+ "Value": 303
+ },
+ {
+ "Stage": "Stage 25",
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+ },
+ {
+ "Stage": "Stage 26",
+ "Value": 332
+ },
+ {
+ "Stage": "Stage 27",
+ "Value": 334
+ },
+ {
+ "Stage": "Stage 28",
+ "Value": 328
+ },
+ {
+ "Stage": "Stage 29",
+ "Value": 332
+ },
+ {
+ "Stage": "Stage 30",
+ "Value": 328
+ }
+ ]
+ }
+}
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 @@
+{
+ "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": 128
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+ "Value": 350
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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 @@
+{
+ "semantic_types": {
+ "X": "Quantity",
+ "Value": "Quantity",
+ "Series": "Category"
+ },
+ "chart_spec": {
+ "chartType": "Area Chart",
+ "encodings": {
+ "x": "X",
+ "y": "Value",
+ "color": "Series"
+ },
+ "baseSize": {
+ "width": 560,
+ "height": 360
+ }
+ },
+ "data": {
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+ "Series": "Electronics"
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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 @@
+{
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+ "Value": "Quantity"
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+ }
+}
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
+ },
+ {
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+ "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"
+ },
+ {
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+ "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
+ },
+ {
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+ "Value": 708
+ },
+ {
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+ "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
+ },
+ {
+ "Group": "Electronics",
+ "Value": 39
+ },
+ {
+ "Group": "Electronics",
+ "Value": 79
+ },
+ {
+ "Group": "Electronics",
+ "Value": 24
+ },
+ {
+ "Group": "Electronics",
+ "Value": 74
+ },
+ {
+ "Group": "Electronics",
+ "Value": 28
+ },
+ {
+ "Group": "Electronics",
+ "Value": 31
+ },
+ {
+ "Group": "Electronics",
+ "Value": 32
+ },
+ {
+ "Group": "Electronics",
+ "Value": 85
+ },
+ {
+ "Group": "Electronics",
+ "Value": 38
+ },
+ {
+ "Group": "Electronics",
+ "Value": 74
+ },
+ {
+ "Group": "Electronics",
+ "Value": 20
+ },
+ {
+ "Group": "Electronics",
+ "Value": 83
+ },
+ {
+ "Group": "Clothing",
+ "Value": 22
+ },
+ {
+ "Group": "Clothing",
+ "Value": 54
+ },
+ {
+ "Group": "Clothing",
+ "Value": 72
+ },
+ {
+ "Group": "Clothing",
+ "Value": 23
+ },
+ {
+ "Group": "Clothing",
+ "Value": 26
+ },
+ {
+ "Group": "Clothing",
+ "Value": 76
+ },
+ {
+ "Group": "Clothing",
+ "Value": 85
+ },
+ {
+ "Group": "Clothing",
+ "Value": 49
+ },
+ {
+ "Group": "Clothing",
+ "Value": 73
+ },
+ {
+ "Group": "Clothing",
+ "Value": 74
+ },
+ {
+ "Group": "Clothing",
+ "Value": 93
+ },
+ {
+ "Group": "Clothing",
+ "Value": 79
+ },
+ {
+ "Group": "Clothing",
+ "Value": 86
+ },
+ {
+ "Group": "Clothing",
+ "Value": 35
+ },
+ {
+ "Group": "Clothing",
+ "Value": 6
+ },
+ {
+ "Group": "Clothing",
+ "Value": 88
+ },
+ {
+ "Group": "Clothing",
+ "Value": 14
+ },
+ {
+ "Group": "Clothing",
+ "Value": 29
+ },
+ {
+ "Group": "Clothing",
+ "Value": 90
+ },
+ {
+ "Group": "Clothing",
+ "Value": 49
+ },
+ {
+ "Group": "Clothing",
+ "Value": 55
+ },
+ {
+ "Group": "Clothing",
+ "Value": 41
+ },
+ {
+ "Group": "Clothing",
+ "Value": 44
+ },
+ {
+ "Group": "Clothing",
+ "Value": 43
+ },
+ {
+ "Group": "Clothing",
+ "Value": 49
+ },
+ {
+ "Group": "Clothing",
+ "Value": 56
+ },
+ {
+ "Group": "Clothing",
+ "Value": 56
+ },
+ {
+ "Group": "Clothing",
+ "Value": 36
+ },
+ {
+ "Group": "Clothing",
+ "Value": 45
+ },
+ {
+ "Group": "Clothing",
+ "Value": 40
+ },
+ {
+ "Group": "Food",
+ "Value": 26
+ },
+ {
+ "Group": "Food",
+ "Value": 17
+ },
+ {
+ "Group": "Food",
+ "Value": 40
+ },
+ {
+ "Group": "Food",
+ "Value": 32
+ },
+ {
+ "Group": "Food",
+ "Value": 65
+ },
+ {
+ "Group": "Food",
+ "Value": 78
+ },
+ {
+ "Group": "Food",
+ "Value": 30
+ },
+ {
+ "Group": "Food",
+ "Value": 51
+ },
+ {
+ "Group": "Food",
+ "Value": 43
+ },
+ {
+ "Group": "Food",
+ "Value": 62
+ },
+ {
+ "Group": "Food",
+ "Value": 49
+ },
+ {
+ "Group": "Food",
+ "Value": 90
+ },
+ {
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+ "Value": 96
+ },
+ {
+ "Group": "Food",
+ "Value": 67
+ },
+ {
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+ "Value": 82
+ },
+ {
+ "Group": "Food",
+ "Value": 11
+ },
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+ "Value": 69
+ },
+ {
+ "Group": "Food",
+ "Value": 6
+ },
+ {
+ "Group": "Food",
+ "Value": 6
+ },
+ {
+ "Group": "Food",
+ "Value": 14
+ },
+ {
+ "Group": "Food",
+ "Value": 47
+ },
+ {
+ "Group": "Food",
+ "Value": 76
+ },
+ {
+ "Group": "Food",
+ "Value": 11
+ },
+ {
+ "Group": "Food",
+ "Value": 92
+ },
+ {
+ "Group": "Food",
+ "Value": 77
+ },
+ {
+ "Group": "Food",
+ "Value": 68
+ },
+ {
+ "Group": "Food",
+ "Value": 36
+ },
+ {
+ "Group": "Food",
+ "Value": 79
+ },
+ {
+ "Group": "Food",
+ "Value": 62
+ },
+ {
+ "Group": "Food",
+ "Value": 0
+ },
+ {
+ "Group": "Books",
+ "Value": 24
+ },
+ {
+ "Group": "Books",
+ "Value": 43
+ },
+ {
+ "Group": "Books",
+ "Value": 71
+ },
+ {
+ "Group": "Books",
+ "Value": 29
+ },
+ {
+ "Group": "Books",
+ "Value": 78
+ },
+ {
+ "Group": "Books",
+ "Value": 19
+ },
+ {
+ "Group": "Books",
+ "Value": 46
+ },
+ {
+ "Group": "Books",
+ "Value": 6
+ },
+ {
+ "Group": "Books",
+ "Value": 52
+ },
+ {
+ "Group": "Books",
+ "Value": 78
+ },
+ {
+ "Group": "Books",
+ "Value": 11
+ },
+ {
+ "Group": "Books",
+ "Value": 54
+ },
+ {
+ "Group": "Books",
+ "Value": 5
+ },
+ {
+ "Group": "Books",
+ "Value": 83
+ },
+ {
+ "Group": "Books",
+ "Value": 60
+ },
+ {
+ "Group": "Books",
+ "Value": 16
+ },
+ {
+ "Group": "Books",
+ "Value": 68
+ },
+ {
+ "Group": "Books",
+ "Value": 14
+ },
+ {
+ "Group": "Books",
+ "Value": 11
+ },
+ {
+ "Group": "Books",
+ "Value": 94
+ },
+ {
+ "Group": "Books",
+ "Value": 75
+ },
+ {
+ "Group": "Books",
+ "Value": 80
+ },
+ {
+ "Group": "Books",
+ "Value": 21
+ },
+ {
+ "Group": "Books",
+ "Value": 52
+ },
+ {
+ "Group": "Books",
+ "Value": 39
+ },
+ {
+ "Group": "Books",
+ "Value": 43
+ },
+ {
+ "Group": "Books",
+ "Value": 84
+ },
+ {
+ "Group": "Books",
+ "Value": 93
+ },
+ {
+ "Group": "Books",
+ "Value": 30
+ },
+ {
+ "Group": "Books",
+ "Value": 30
+ },
+ {
+ "Group": "Sports",
+ "Value": 69
+ },
+ {
+ "Group": "Sports",
+ "Value": 21
+ },
+ {
+ "Group": "Sports",
+ "Value": 10
+ },
+ {
+ "Group": "Sports",
+ "Value": 1
+ },
+ {
+ "Group": "Sports",
+ "Value": 81
+ },
+ {
+ "Group": "Sports",
+ "Value": 87
+ },
+ {
+ "Group": "Sports",
+ "Value": 53
+ },
+ {
+ "Group": "Sports",
+ "Value": 94
+ },
+ {
+ "Group": "Sports",
+ "Value": 63
+ },
+ {
+ "Group": "Sports",
+ "Value": 28
+ },
+ {
+ "Group": "Sports",
+ "Value": 89
+ },
+ {
+ "Group": "Sports",
+ "Value": 44
+ },
+ {
+ "Group": "Sports",
+ "Value": 23
+ },
+ {
+ "Group": "Sports",
+ "Value": 94
+ },
+ {
+ "Group": "Sports",
+ "Value": 7
+ },
+ {
+ "Group": "Sports",
+ "Value": 41
+ },
+ {
+ "Group": "Sports",
+ "Value": 82
+ },
+ {
+ "Group": "Sports",
+ "Value": 27
+ },
+ {
+ "Group": "Sports",
+ "Value": 3
+ },
+ {
+ "Group": "Sports",
+ "Value": 90
+ },
+ {
+ "Group": "Sports",
+ "Value": 8
+ },
+ {
+ "Group": "Sports",
+ "Value": 79
+ },
+ {
+ "Group": "Sports",
+ "Value": 30
+ },
+ {
+ "Group": "Sports",
+ "Value": 71
+ },
+ {
+ "Group": "Sports",
+ "Value": 31
+ },
+ {
+ "Group": "Sports",
+ "Value": 14
+ },
+ {
+ "Group": "Sports",
+ "Value": 27
+ },
+ {
+ "Group": "Sports",
+ "Value": 43
+ },
+ {
+ "Group": "Sports",
+ "Value": 49
+ },
+ {
+ "Group": "Sports",
+ "Value": 96
+ }
+ ]
+ }
+}
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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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
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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": {
+ "values": [
+ {
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+ "Gender": "Male",
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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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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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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
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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 @@
+{
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+ "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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+ }
+ ]
+ }
+}
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": [
+ {
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+ "Unemployment Rate": 6.2,
+ "Inflation Rate": 1.6
+ },
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+ "Unemployment Rate": 5.3,
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+ },
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+ "Unemployment Rate": 4.9,
+ "Inflation Rate": 1.3
+ },
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+ },
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+ },
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+ },
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+ },
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+ },
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+ }
+ ]
+ }
+}
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": [
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+ "Inflation": 2.4
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+ "GDP Growth": 2.3,
+ "Inflation": 1.8
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+ "GDP Growth": -3.4,
+ "Inflation": 1.2
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+ },
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+ "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"
+ },
+ {
+ "Category": "Daniel King",
+ "Value": 496,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Mark Taylor",
+ "Value": 418,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Mark Taylor",
+ "Value": 815,
+ "Segment": "China"
+ },
+ {
+ "Category": "Mark Taylor",
+ "Value": 924,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Sandra Thomas",
+ "Value": 949,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Sandra Thomas",
+ "Value": 326,
+ "Segment": "China"
+ },
+ {
+ "Category": "Sandra Thomas",
+ "Value": 339,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Karen Rodriguez",
+ "Value": 477,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Karen Rodriguez",
+ "Value": 782,
+ "Segment": "China"
+ },
+ {
+ "Category": "Karen Rodriguez",
+ "Value": 953,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Patricia Jackson",
+ "Value": 956,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Patricia Jackson",
+ "Value": 304,
+ "Segment": "China"
+ },
+ {
+ "Category": "Patricia Jackson",
+ "Value": 765,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Donna Hill",
+ "Value": 178,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Donna Hill",
+ "Value": 402,
+ "Segment": "China"
+ },
+ {
+ "Category": "Donna Hill",
+ "Value": 363,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Donna White",
+ "Value": 889,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Donna White",
+ "Value": 713,
+ "Segment": "China"
+ },
+ {
+ "Category": "Donna White",
+ "Value": 993,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Michael Brown",
+ "Value": 201,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Michael Brown",
+ "Value": 845,
+ "Segment": "China"
+ },
+ {
+ "Category": "Michael Brown",
+ "Value": 228,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Elizabeth Robinson",
+ "Value": 336,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Elizabeth Robinson",
+ "Value": 133,
+ "Segment": "China"
+ },
+ {
+ "Category": "Elizabeth Robinson",
+ "Value": 220,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Mary Jones",
+ "Value": 250,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Mary Jones",
+ "Value": 133,
+ "Segment": "China"
+ },
+ {
+ "Category": "Mary Jones",
+ "Value": 154,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Richard Rodriguez",
+ "Value": 925,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Richard Rodriguez",
+ "Value": 340,
+ "Segment": "China"
+ },
+ {
+ "Category": "Richard Rodriguez",
+ "Value": 301,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Christopher Clark",
+ "Value": 35,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Christopher Clark",
+ "Value": 460,
+ "Segment": "China"
+ },
+ {
+ "Category": "Christopher Clark",
+ "Value": 71,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Christopher Lopez",
+ "Value": 352,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Christopher Lopez",
+ "Value": 614,
+ "Segment": "China"
+ },
+ {
+ "Category": "Christopher Lopez",
+ "Value": 763,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Susan Ramirez",
+ "Value": 541,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Susan Ramirez",
+ "Value": 479,
+ "Segment": "China"
+ },
+ {
+ "Category": "Susan Ramirez",
+ "Value": 864,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Steven Wilson",
+ "Value": 869,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Steven Wilson",
+ "Value": 627,
+ "Segment": "China"
+ },
+ {
+ "Category": "Steven Wilson",
+ "Value": 839,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Paul Anderson",
+ "Value": 576,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Paul Anderson",
+ "Value": 959,
+ "Segment": "China"
+ },
+ {
+ "Category": "Paul Anderson",
+ "Value": 898,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Joseph Rodriguez",
+ "Value": 312,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Joseph Rodriguez",
+ "Value": 982,
+ "Segment": "China"
+ },
+ {
+ "Category": "Joseph Rodriguez",
+ "Value": 341,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Elizabeth Wright",
+ "Value": 797,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Elizabeth Wright",
+ "Value": 628,
+ "Segment": "China"
+ },
+ {
+ "Category": "Elizabeth Wright",
+ "Value": 459,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Kimberly Jackson",
+ "Value": 797,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Kimberly Jackson",
+ "Value": 622,
+ "Segment": "China"
+ },
+ {
+ "Category": "Kimberly Jackson",
+ "Value": 199,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Betty Hernandez",
+ "Value": 381,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Betty Hernandez",
+ "Value": 172,
+ "Segment": "China"
+ },
+ {
+ "Category": "Betty Hernandez",
+ "Value": 503,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "David King",
+ "Value": 125,
+ "Segment": "USA"
+ },
+ {
+ "Category": "David King",
+ "Value": 501,
+ "Segment": "China"
+ },
+ {
+ "Category": "David King",
+ "Value": 725,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Matthew Lopez",
+ "Value": 917,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Matthew Lopez",
+ "Value": 342,
+ "Segment": "China"
+ },
+ {
+ "Category": "Matthew Lopez",
+ "Value": 549,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Susan Hernandez",
+ "Value": 612,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Susan Hernandez",
+ "Value": 493,
+ "Segment": "China"
+ },
+ {
+ "Category": "Susan Hernandez",
+ "Value": 381,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Jennifer Lee",
+ "Value": 229,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Jennifer Lee",
+ "Value": 460,
+ "Segment": "China"
+ },
+ {
+ "Category": "Jennifer Lee",
+ "Value": 616,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Richard Flores",
+ "Value": 931,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Richard Flores",
+ "Value": 827,
+ "Segment": "China"
+ },
+ {
+ "Category": "Richard Flores",
+ "Value": 419,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "John Anderson",
+ "Value": 137,
+ "Segment": "USA"
+ },
+ {
+ "Category": "John Anderson",
+ "Value": 304,
+ "Segment": "China"
+ },
+ {
+ "Category": "John Anderson",
+ "Value": 383,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Kimberly Wright",
+ "Value": 901,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Kimberly Wright",
+ "Value": 295,
+ "Segment": "China"
+ },
+ {
+ "Category": "Kimberly Wright",
+ "Value": 72,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Joseph Williams",
+ "Value": 946,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Joseph Williams",
+ "Value": 375,
+ "Segment": "China"
+ },
+ {
+ "Category": "Joseph Williams",
+ "Value": 974,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Lisa Torres",
+ "Value": 276,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Lisa Torres",
+ "Value": 269,
+ "Segment": "China"
+ },
+ {
+ "Category": "Lisa Torres",
+ "Value": 106,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Andrew Rodriguez",
+ "Value": 621,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Andrew Rodriguez",
+ "Value": 110,
+ "Segment": "China"
+ },
+ {
+ "Category": "Andrew Rodriguez",
+ "Value": 410,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Karen Johnson",
+ "Value": 747,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Karen Johnson",
+ "Value": 324,
+ "Segment": "China"
+ },
+ {
+ "Category": "Karen Johnson",
+ "Value": 923,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Steven Jones",
+ "Value": 267,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Steven Jones",
+ "Value": 164,
+ "Segment": "China"
+ },
+ {
+ "Category": "Steven Jones",
+ "Value": 676,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Joshua Ramirez",
+ "Value": 42,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Joshua Ramirez",
+ "Value": 626,
+ "Segment": "China"
+ },
+ {
+ "Category": "Joshua Ramirez",
+ "Value": 845,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Emily Martinez",
+ "Value": 451,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Emily Martinez",
+ "Value": 992,
+ "Segment": "China"
+ },
+ {
+ "Category": "Emily Martinez",
+ "Value": 634,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Robert Walker",
+ "Value": 550,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Robert Walker",
+ "Value": 475,
+ "Segment": "China"
+ },
+ {
+ "Category": "Robert Walker",
+ "Value": 642,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Robert Lewis",
+ "Value": 559,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Robert Lewis",
+ "Value": 217,
+ "Segment": "China"
+ },
+ {
+ "Category": "Robert Lewis",
+ "Value": 335,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Sandra Lopez",
+ "Value": 811,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Sandra Lopez",
+ "Value": 928,
+ "Segment": "China"
+ },
+ {
+ "Category": "Sandra Lopez",
+ "Value": 777,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Nancy Miller",
+ "Value": 783,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Nancy Miller",
+ "Value": 24,
+ "Segment": "China"
+ },
+ {
+ "Category": "Nancy Miller",
+ "Value": 382,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Christopher Sanchez",
+ "Value": 495,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Christopher Sanchez",
+ "Value": 923,
+ "Segment": "China"
+ },
+ {
+ "Category": "Christopher Sanchez",
+ "Value": 359,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Daniel Flores",
+ "Value": 930,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Daniel Flores",
+ "Value": 796,
+ "Segment": "China"
+ },
+ {
+ "Category": "Daniel Flores",
+ "Value": 975,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Mary Walker",
+ "Value": 517,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Mary Walker",
+ "Value": 507,
+ "Segment": "China"
+ },
+ {
+ "Category": "Mary Walker",
+ "Value": 950,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Anthony Ramirez",
+ "Value": 610,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Anthony Ramirez",
+ "Value": 254,
+ "Segment": "China"
+ },
+ {
+ "Category": "Anthony Ramirez",
+ "Value": 103,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Anthony Hill",
+ "Value": 363,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Anthony Hill",
+ "Value": 698,
+ "Segment": "China"
+ },
+ {
+ "Category": "Anthony Hill",
+ "Value": 656,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Matthew Miller",
+ "Value": 663,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Matthew Miller",
+ "Value": 326,
+ "Segment": "China"
+ },
+ {
+ "Category": "Matthew Miller",
+ "Value": 606,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Andrew King",
+ "Value": 918,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Andrew King",
+ "Value": 537,
+ "Segment": "China"
+ },
+ {
+ "Category": "Andrew King",
+ "Value": 946,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "William Perez",
+ "Value": 596,
+ "Segment": "USA"
+ },
+ {
+ "Category": "William Perez",
+ "Value": 859,
+ "Segment": "China"
+ },
+ {
+ "Category": "William Perez",
+ "Value": 693,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "William Martinez",
+ "Value": 687,
+ "Segment": "USA"
+ },
+ {
+ "Category": "William Martinez",
+ "Value": 507,
+ "Segment": "China"
+ },
+ {
+ "Category": "William Martinez",
+ "Value": 499,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Margaret Garcia",
+ "Value": 579,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Margaret Garcia",
+ "Value": 879,
+ "Segment": "China"
+ },
+ {
+ "Category": "Margaret Garcia",
+ "Value": 680,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Barbara Anderson",
+ "Value": 47,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Barbara Anderson",
+ "Value": 265,
+ "Segment": "China"
+ },
+ {
+ "Category": "Barbara Anderson",
+ "Value": 385,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Thomas Smith",
+ "Value": 789,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Thomas Smith",
+ "Value": 127,
+ "Segment": "China"
+ },
+ {
+ "Category": "Thomas Smith",
+ "Value": 276,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Kimberly Thomas",
+ "Value": 756,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Kimberly Thomas",
+ "Value": 677,
+ "Segment": "China"
+ },
+ {
+ "Category": "Kimberly Thomas",
+ "Value": 416,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Karen Garcia",
+ "Value": 823,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Karen Garcia",
+ "Value": 801,
+ "Segment": "China"
+ },
+ {
+ "Category": "Karen Garcia",
+ "Value": 415,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Sarah Torres",
+ "Value": 697,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Sarah Torres",
+ "Value": 665,
+ "Segment": "China"
+ },
+ {
+ "Category": "Sarah Torres",
+ "Value": 152,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Emily Hill",
+ "Value": 331,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Emily Hill",
+ "Value": 387,
+ "Segment": "China"
+ },
+ {
+ "Category": "Emily Hill",
+ "Value": 797,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Sarah Walker",
+ "Value": 235,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Sarah Walker",
+ "Value": 337,
+ "Segment": "China"
+ },
+ {
+ "Category": "Sarah Walker",
+ "Value": 40,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Michael Clark",
+ "Value": 216,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Michael Clark",
+ "Value": 25,
+ "Segment": "China"
+ },
+ {
+ "Category": "Michael Clark",
+ "Value": 970,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Joshua Wright",
+ "Value": 21,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Joshua Wright",
+ "Value": 925,
+ "Segment": "China"
+ },
+ {
+ "Category": "Joshua Wright",
+ "Value": 781,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Andrew Walker",
+ "Value": 696,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Andrew Walker",
+ "Value": 224,
+ "Segment": "China"
+ },
+ {
+ "Category": "Andrew Walker",
+ "Value": 961,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Nancy Young",
+ "Value": 520,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Nancy Young",
+ "Value": 730,
+ "Segment": "China"
+ },
+ {
+ "Category": "Nancy Young",
+ "Value": 811,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "John Lewis",
+ "Value": 501,
+ "Segment": "USA"
+ },
+ {
+ "Category": "John Lewis",
+ "Value": 997,
+ "Segment": "China"
+ },
+ {
+ "Category": "John Lewis",
+ "Value": 563,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "John Brown",
+ "Value": 36,
+ "Segment": "USA"
+ },
+ {
+ "Category": "John Brown",
+ "Value": 686,
+ "Segment": "China"
+ },
+ {
+ "Category": "John Brown",
+ "Value": 311,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Anthony Thomas",
+ "Value": 619,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Anthony Thomas",
+ "Value": 868,
+ "Segment": "China"
+ },
+ {
+ "Category": "Anthony Thomas",
+ "Value": 990,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Joshua Moore",
+ "Value": 767,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Joshua Moore",
+ "Value": 16,
+ "Segment": "China"
+ },
+ {
+ "Category": "Joshua Moore",
+ "Value": 193,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "John Hernandez",
+ "Value": 761,
+ "Segment": "USA"
+ },
+ {
+ "Category": "John Hernandez",
+ "Value": 113,
+ "Segment": "China"
+ },
+ {
+ "Category": "John Hernandez",
+ "Value": 811,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "James Perez",
+ "Value": 663,
+ "Segment": "USA"
+ },
+ {
+ "Category": "James Perez",
+ "Value": 809,
+ "Segment": "China"
+ },
+ {
+ "Category": "James Perez",
+ "Value": 723,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "James Scott",
+ "Value": 404,
+ "Segment": "USA"
+ },
+ {
+ "Category": "James Scott",
+ "Value": 457,
+ "Segment": "China"
+ },
+ {
+ "Category": "James Scott",
+ "Value": 918,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Matthew Sanchez",
+ "Value": 267,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Matthew Sanchez",
+ "Value": 995,
+ "Segment": "China"
+ },
+ {
+ "Category": "Matthew Sanchez",
+ "Value": 552,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Joseph Sanchez",
+ "Value": 461,
+ "Segment": "USA"
+ },
+ {
+ "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,
+ "Segment": "Tablet"
+ },
+ {
+ "EndDate": "2020-08-07",
+ "X": 782,
+ "Segment": "Laptop"
+ },
+ {
+ "EndDate": "2020-08-07",
+ "X": 577,
+ "Segment": "Phone"
+ },
+ {
+ "EndDate": "2020-08-07",
+ "X": 832,
+ "Segment": "Tablet"
+ },
+ {
+ "EndDate": "2020-11-24",
+ "X": 60,
+ "Segment": "Laptop"
+ },
+ {
+ "EndDate": "2020-11-24",
+ "X": 806,
+ "Segment": "Phone"
+ },
+ {
+ "EndDate": "2020-11-24",
+ "X": 148,
+ "Segment": "Tablet"
+ },
+ {
+ "EndDate": "2021-03-14",
+ "X": 295,
+ "Segment": "Laptop"
+ },
+ {
+ "EndDate": "2021-03-14",
+ "X": 766,
+ "Segment": "Phone"
+ },
+ {
+ "EndDate": "2021-03-14",
+ "X": 213,
+ "Segment": "Tablet"
+ },
+ {
+ "EndDate": "2021-07-01",
+ "X": 588,
+ "Segment": "Laptop"
+ },
+ {
+ "EndDate": "2021-07-01",
+ "X": 199,
+ "Segment": "Phone"
+ },
+ {
+ "EndDate": "2021-07-01",
+ "X": 91,
+ "Segment": "Tablet"
+ },
+ {
+ "EndDate": "2021-10-19",
+ "X": 138,
+ "Segment": "Laptop"
+ },
+ {
+ "EndDate": "2021-10-19",
+ "X": 116,
+ "Segment": "Phone"
+ },
+ {
+ "EndDate": "2021-10-19",
+ "X": 189,
+ "Segment": "Tablet"
+ },
+ {
+ "EndDate": "2022-02-05",
+ "X": 348,
+ "Segment": "Laptop"
+ },
+ {
+ "EndDate": "2022-02-05",
+ "X": 157,
+ "Segment": "Phone"
+ },
+ {
+ "EndDate": "2022-02-05",
+ "X": 997,
+ "Segment": "Tablet"
+ },
+ {
+ "EndDate": "2022-05-26",
+ "X": 947,
+ "Segment": "Laptop"
+ },
+ {
+ "EndDate": "2022-05-26",
+ "X": 103,
+ "Segment": "Phone"
+ },
+ {
+ "EndDate": "2022-05-26",
+ "X": 785,
+ "Segment": "Tablet"
+ },
+ {
+ "EndDate": "2022-09-12",
+ "X": 114,
+ "Segment": "Laptop"
+ },
+ {
+ "EndDate": "2022-09-12",
+ "X": 694,
+ "Segment": "Phone"
+ },
+ {
+ "EndDate": "2022-09-12",
+ "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": {
+ "values": [
+ {
+ "Category": "Laptop",
+ "Value": 356,
+ "ColorVal": 1
+ },
+ {
+ "Category": "Laptop",
+ "Value": 359,
+ "ColorVal": 2
+ },
+ {
+ "Category": "Laptop",
+ "Value": 250,
+ "ColorVal": 3
+ },
+ {
+ "Category": "Laptop",
+ "Value": 74,
+ "ColorVal": 4
+ },
+ {
+ "Category": "Laptop",
+ "Value": 721,
+ "ColorVal": 5
+ },
+ {
+ "Category": "Laptop",
+ "Value": 502,
+ "ColorVal": 6
+ },
+ {
+ "Category": "Laptop",
+ "Value": 859,
+ "ColorVal": 7
+ },
+ {
+ "Category": "Laptop",
+ "Value": 809,
+ "ColorVal": 8
+ },
+ {
+ "Category": "Laptop",
+ "Value": 272,
+ "ColorVal": 9
+ },
+ {
+ "Category": "Laptop",
+ "Value": 897,
+ "ColorVal": 10
+ },
+ {
+ "Category": "Laptop",
+ "Value": 853,
+ "ColorVal": 11
+ },
+ {
+ "Category": "Laptop",
+ "Value": 691,
+ "ColorVal": 12
+ },
+ {
+ "Category": "Laptop",
+ "Value": 802,
+ "ColorVal": 13
+ },
+ {
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+ "Value": 881,
+ "ColorVal": 14
+ },
+ {
+ "Category": "Laptop",
+ "Value": 680,
+ "ColorVal": 15
+ },
+ {
+ "Category": "Laptop",
+ "Value": 755,
+ "ColorVal": 16
+ },
+ {
+ "Category": "Laptop",
+ "Value": 17,
+ "ColorVal": 17
+ },
+ {
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+ "Value": 488,
+ "ColorVal": 18
+ },
+ {
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+ },
+ {
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+ "ColorVal": 20
+ },
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+ },
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+ },
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+ },
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+ },
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+ },
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+ "ColorVal": 26
+ },
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+ "ColorVal": 27
+ },
+ {
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+ "ColorVal": 28
+ },
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+ "ColorVal": 29
+ },
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+ },
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+ "ColorVal": 31
+ },
+ {
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+ "ColorVal": 32
+ },
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+ "ColorVal": 33
+ },
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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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+ },
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+ },
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+ },
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+ },
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+ "Value": 24,
+ "ColorVal": 17
+ },
+ {
+ "Category": "Headphones",
+ "Value": 246,
+ "ColorVal": 18
+ },
+ {
+ "Category": "Headphones",
+ "Value": 735,
+ "ColorVal": 19
+ },
+ {
+ "Category": "Headphones",
+ "Value": 427,
+ "ColorVal": 20
+ },
+ {
+ "Category": "Headphones",
+ "Value": 981,
+ "ColorVal": 21
+ },
+ {
+ "Category": "Headphones",
+ "Value": 668,
+ "ColorVal": 22
+ },
+ {
+ "Category": "Headphones",
+ "Value": 492,
+ "ColorVal": 23
+ },
+ {
+ "Category": "Headphones",
+ "Value": 168,
+ "ColorVal": 24
+ },
+ {
+ "Category": "Headphones",
+ "Value": 850,
+ "ColorVal": 25
+ },
+ {
+ "Category": "Headphones",
+ "Value": 68,
+ "ColorVal": 26
+ },
+ {
+ "Category": "Headphones",
+ "Value": 754,
+ "ColorVal": 27
+ },
+ {
+ "Category": "Headphones",
+ "Value": 573,
+ "ColorVal": 28
+ },
+ {
+ "Category": "Headphones",
+ "Value": 704,
+ "ColorVal": 29
+ },
+ {
+ "Category": "Headphones",
+ "Value": 962,
+ "ColorVal": 30
+ },
+ {
+ "Category": "Headphones",
+ "Value": 21,
+ "ColorVal": 31
+ },
+ {
+ "Category": "Headphones",
+ "Value": 959,
+ "ColorVal": 32
+ },
+ {
+ "Category": "Headphones",
+ "Value": 746,
+ "ColorVal": 33
+ },
+ {
+ "Category": "Headphones",
+ "Value": 243,
+ "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
+ },
+ {
+ "Category": "Food",
+ "Month": "Apr",
+ "Value": 85
+ },
+ {
+ "Category": "Food",
+ "Month": "May",
+ "Value": 57
+ },
+ {
+ "Category": "Food",
+ "Month": "Jun",
+ "Value": 85
+ },
+ {
+ "Category": "Books",
+ "Month": "Jan",
+ "Value": 71
+ },
+ {
+ "Category": "Books",
+ "Month": "Feb",
+ "Value": 42
+ },
+ {
+ "Category": "Books",
+ "Month": "Mar",
+ "Value": 74
+ },
+ {
+ "Category": "Books",
+ "Month": "Apr",
+ "Value": 39
+ },
+ {
+ "Category": "Books",
+ "Month": "May",
+ "Value": 49
+ },
+ {
+ "Category": "Books",
+ "Month": "Jun",
+ "Value": 22
+ },
+ {
+ "Category": "Sports",
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new file mode 100644
index 00000000..df9d3793
--- /dev/null
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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 @@
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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 @@
+{
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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 @@
+{
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+ "x": "Date",
+ "y": "Category",
+ "color": "Intensity"
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+ "height": 360
+ }
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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
+ },
+ {
+ "Product": "Laptop",
+ "Date": "2016-01-14",
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+ },
+ {
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+ "Score": 5
+ },
+ {
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+ {
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+ {
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+ {
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+ "Score": 10
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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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+ },
+ {
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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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+ "Score": 8
+ },
+ {
+ "Product": "Phone",
+ "Date": "2016-05-30",
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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 @@
+{
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+ "EndDate": "Date",
+ "Correlation": "Quantity"
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+ "encodings": {
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+ "y": "EndDate",
+ "color": "Correlation"
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+ "height": 360
+ }
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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 @@
+{
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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 @@
+{
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+ }
+ ]
+ }
+}
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
+ },
+ {
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+ },
+ {
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+ },
+ {
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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,
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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
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diff --git a/test-harness/excel/evaluations/inputs/line-chart/00-card30.flint.json b/test-harness/excel/evaluations/inputs/line-chart/00-card30.flint.json
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 @@
+{
+ "semantic_types": {
+ "Date": "Date",
+ "Value": "Quantity"
+ },
+ "chart_spec": {
+ "chartType": "Line Chart",
+ "encodings": {
+ "x": "Date",
+ "y": "Value"
+ },
+ "baseSize": {
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+ "height": 360
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+ "data": {
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+ "Value": 51
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+ "Date": "2020-02-06",
+ "Value": 46
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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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+ "x": "Date",
+ "y": "Value",
+ "color": "Series"
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+ "height": 360
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+ "Value": 114,
+ "Series": "Electronics"
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+ "Series": "Books"
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+ {
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+ "Value": 250,
+ "Series": "Books"
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+ {
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+ "Series": "Books"
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+ "Series": "Books"
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+ "Series": "Books"
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+ "Series": "Books"
+ },
+ {
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+ "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"
+ },
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+ "Series": "Auto"
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+ "Series": "Auto"
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+ "Series": "Auto"
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+ "Series": "Auto"
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+ "Series": "Auto"
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+ "Series": "Auto"
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+ "Series": "Auto"
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+ "Series": "Auto"
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+ "Series": "Auto"
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+ "Series": "Auto"
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+ "Series": "Auto"
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+ "Series": "Auto"
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+ "Series": "Auto"
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+ "Series": "Auto"
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+ "Series": "Auto"
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+ {
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+ "Series": "Auto"
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+ {
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+ "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": [
+ {
+ "Date": "2020-01-01",
+ "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"
+ },
+ {
+ "Date": "2020-02-08",
+ "Value": 227,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-02-13",
+ "Value": 226,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-02-19",
+ "Value": 225,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-02-24",
+ "Value": 221,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-03-01",
+ "Value": 218,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-03-06",
+ "Value": 213,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-03-12",
+ "Value": 204,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-03-17",
+ "Value": 201,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-03-23",
+ "Value": 194,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-03-28",
+ "Value": 187,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-04-03",
+ "Value": 181,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-04-08",
+ "Value": 180,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-04-14",
+ "Value": 175,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-04-19",
+ "Value": 172,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-04-24",
+ "Value": 165,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-04-30",
+ "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"
+ },
+ {
+ "Date": "2020-05-22",
+ "Value": 155,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-05-27",
+ "Value": 149,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-06-02",
+ "Value": 149,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-06-07",
+ "Value": 151,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-06-13",
+ "Value": 156,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-06-18",
+ "Value": 155,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-06-24",
+ "Value": 159,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-06-29",
+ "Value": 166,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-07-05",
+ "Value": 173,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-07-10",
+ "Value": 175,
+ "Series": "Electronics"
+ },
+ {
+ "Date": "2020-07-16",
+ "Value": 177,
+ "Series": "Electronics"
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+ "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,
+ "ColorVal": 1.9
+ },
+ {
+ "Date": "2020-03-14",
+ "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"
+ },
+ {
+ "Stage": "Stage 8",
+ "Value": 287,
+ "Series": "Food"
+ },
+ {
+ "Stage": "Stage 9",
+ "Value": 297,
+ "Series": "Food"
+ },
+ {
+ "Stage": "Stage 10",
+ "Value": 294,
+ "Series": "Food"
+ },
+ {
+ "Stage": "Stage 11",
+ "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"
+ },
+ {
+ "Stage": "Stage 4",
+ "Value": 59,
+ "Series": "Books"
+ },
+ {
+ "Stage": "Stage 5",
+ "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"
+ },
+ {
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+ "Step": "Stage 9",
+ "Series": "Food"
+ },
+ {
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+ "Step": "Stage 10",
+ "Series": "Food"
+ },
+ {
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+ "Step": "Stage 11",
+ "Series": "Food"
+ },
+ {
+ "X": 100,
+ "Step": "Stage 12",
+ "Series": "Food"
+ },
+ {
+ "X": 0,
+ "Step": "Stage 1",
+ "Series": "Books"
+ },
+ {
+ "X": 9.1,
+ "Step": "Stage 2",
+ "Series": "Books"
+ },
+ {
+ "X": 18.2,
+ "Step": "Stage 3",
+ "Series": "Books"
+ },
+ {
+ "X": 27.3,
+ "Step": "Stage 4",
+ "Series": "Books"
+ },
+ {
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+ "Step": "Stage 5",
+ "Series": "Books"
+ },
+ {
+ "X": 45.5,
+ "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"
+ },
+ {
+ "X": 10.3,
+ "Step": "Stage 4"
+ },
+ {
+ "X": 13.8,
+ "Step": "Stage 5"
+ },
+ {
+ "X": 17.2,
+ "Step": "Stage 6"
+ },
+ {
+ "X": 20.7,
+ "Step": "Stage 7"
+ },
+ {
+ "X": 24.1,
+ "Step": "Stage 8"
+ },
+ {
+ "X": 27.6,
+ "Step": "Stage 9"
+ },
+ {
+ "X": 31,
+ "Step": "Stage 10"
+ },
+ {
+ "X": 34.5,
+ "Step": "Stage 11"
+ },
+ {
+ "X": 37.9,
+ "Step": "Stage 12"
+ },
+ {
+ "X": 41.4,
+ "Step": "Stage 13"
+ },
+ {
+ "X": 44.8,
+ "Step": "Stage 14"
+ },
+ {
+ "X": 48.3,
+ "Step": "Stage 15"
+ },
+ {
+ "X": 51.7,
+ "Step": "Stage 16"
+ },
+ {
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+ "Step": "Stage 17"
+ },
+ {
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+ "Step": "Stage 18"
+ },
+ {
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+ "Step": "Stage 19"
+ },
+ {
+ "X": 65.5,
+ "Step": "Stage 20"
+ },
+ {
+ "X": 69,
+ "Step": "Stage 21"
+ },
+ {
+ "X": 72.4,
+ "Step": "Stage 22"
+ },
+ {
+ "X": 75.9,
+ "Step": "Stage 23"
+ },
+ {
+ "X": 79.3,
+ "Step": "Stage 24"
+ },
+ {
+ "X": 82.8,
+ "Step": "Stage 25"
+ },
+ {
+ "X": 86.2,
+ "Step": "Stage 26"
+ },
+ {
+ "X": 89.7,
+ "Step": "Stage 27"
+ },
+ {
+ "X": 93.1,
+ "Step": "Stage 28"
+ },
+ {
+ "X": 96.6,
+ "Step": "Stage 29"
+ },
+ {
+ "X": 100,
+ "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": [
+ {
+ "X": 0,
+ "Value": 100
+ },
+ {
+ "X": 3.4,
+ "Value": 102
+ },
+ {
+ "X": 6.9,
+ "Value": 113
+ },
+ {
+ "X": 10.3,
+ "Value": 132
+ },
+ {
+ "X": 13.8,
+ "Value": 152
+ },
+ {
+ "X": 17.2,
+ "Value": 174
+ },
+ {
+ "X": 20.7,
+ "Value": 186
+ },
+ {
+ "X": 24.1,
+ "Value": 202
+ },
+ {
+ "X": 27.6,
+ "Value": 207
+ },
+ {
+ "X": 31,
+ "Value": 200
+ },
+ {
+ "X": 34.5,
+ "Value": 189
+ },
+ {
+ "X": 37.9,
+ "Value": 175
+ },
+ {
+ "X": 41.4,
+ "Value": 171
+ },
+ {
+ "X": 44.8,
+ "Value": 174
+ },
+ {
+ "X": 48.3,
+ "Value": 173
+ },
+ {
+ "X": 51.7,
+ "Value": 180
+ },
+ {
+ "X": 55.2,
+ "Value": 192
+ },
+ {
+ "X": 58.6,
+ "Value": 201
+ },
+ {
+ "X": 62.1,
+ "Value": 217
+ },
+ {
+ "X": 65.5,
+ "Value": 236
+ },
+ {
+ "X": 69,
+ "Value": 241
+ },
+ {
+ "X": 72.4,
+ "Value": 248
+ },
+ {
+ "X": 75.9,
+ "Value": 255
+ },
+ {
+ "X": 79.3,
+ "Value": 262
+ },
+ {
+ "X": 82.8,
+ "Value": 267
+ },
+ {
+ "X": 86.2,
+ "Value": 280
+ },
+ {
+ "X": 89.7,
+ "Value": 289
+ },
+ {
+ "X": 93.1,
+ "Value": 292
+ },
+ {
+ "X": 96.6,
+ "Value": 297
+ },
+ {
+ "X": 100,
+ "Value": 306
+ }
+ ]
+ }
+}
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": {
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+ "encodings": {
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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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+ "Value": 627
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+ {
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+ "Value": 637
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+ {
+ "X": 100,
+ "Value": 674
+ }
+ ]
+ }
+}
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",
+ "Revenue": 100,
+ "Type": "actual"
+ },
+ {
+ "Date": "2024-12-08",
+ "Revenue": 98,
+ "Type": "actual"
+ },
+ {
+ "Date": "2025-02-14",
+ "Revenue": 106,
+ "Type": "actual"
+ },
+ {
+ "Date": "2025-04-24",
+ "Revenue": 103,
+ "Type": "actual"
+ },
+ {
+ "Date": "2025-07-01",
+ "Revenue": 105,
+ "Type": "actual"
+ },
+ {
+ "Date": "2025-09-07",
+ "Revenue": 103,
+ "Type": "actual"
+ },
+ {
+ "Date": "2025-11-15",
+ "Revenue": 104,
+ "Type": "actual"
+ },
+ {
+ "Date": "2026-01-22",
+ "Revenue": 107,
+ "Type": "actual"
+ },
+ {
+ "Date": "2026-01-22",
+ "Revenue": 107,
+ "Type": "forecast"
+ },
+ {
+ "Date": "2026-04-01",
+ "Revenue": 118,
+ "Type": "forecast"
+ },
+ {
+ "Date": "2026-06-08",
+ "Revenue": 123,
+ "Type": "forecast"
+ },
+ {
+ "Date": "2026-08-16",
+ "Revenue": 131,
+ "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,
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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"
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+ "chart_spec": {
+ "chartType": "Scatter Plot",
+ "encodings": {
+ "x": "X",
+ "y": "Y",
+ "size": "Size"
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+ "baseSize": {
+ "width": 560,
+ "height": 360
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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"
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+ "chart_spec": {
+ "chartType": "Scatter Plot",
+ "encodings": {
+ "x": "X",
+ "y": "Y",
+ "size": "Level"
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+ "baseSize": {
+ "width": 560,
+ "height": 360
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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",
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+ "Segment": "Category",
+ "Size": "Quantity"
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+ "chart_spec": {
+ "chartType": "Scatter Plot",
+ "encodings": {
+ "x": "X",
+ "y": "Y",
+ "color": "Segment",
+ "size": "Size"
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+ "baseSize": {
+ "width": 560,
+ "height": 360
+ }
+ },
+ "data": {
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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 @@
+{
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+ "encodings": {
+ "x": "X",
+ "y": "Y",
+ "color": "ColorVal",
+ "size": "Size"
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+ "baseSize": {
+ "width": 560,
+ "height": 360
+ }
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+ "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 @@
+{
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+ "size": "Size"
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+ "baseSize": {
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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
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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
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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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index 00000000..c4102d5e
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+}
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",
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+ "ColorVal": 65.6
+ },
+ {
+ "Category": "Food",
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+ "ColorVal": 32.5
+ },
+ {
+ "Category": "Books",
+ "Y": 26.8,
+ "ColorVal": 70.9
+ },
+ {
+ "Category": "Sports",
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+ "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",
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+ "Size": 67.3
+ },
+ {
+ "Category": "Books",
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+ "Size": 61.7
+ },
+ {
+ "Category": "Sports",
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+ "Size": 84.5
+ },
+ {
+ "Category": "Electronics",
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+ "Size": 81.1
+ },
+ {
+ "Category": "Clothing",
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+ "Size": 99.3
+ },
+ {
+ "Category": "Food",
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+ "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
+ },
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+ "Group": "Clothing",
+ "ColorVal": 6
+ },
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+ "Group": "Food",
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+ "Group": "Books",
+ "ColorVal": 83.9
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+ {
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+ "Group": "Sports",
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+ },
+ {
+ "X": 47,
+ "Group": "Electronics",
+ "ColorVal": 52.7
+ },
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+ "Group": "Clothing",
+ "ColorVal": 38.9
+ },
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+ "Group": "Food",
+ "ColorVal": 30.6
+ },
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+ "Group": "Books",
+ "ColorVal": 38
+ },
+ {
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+ "Group": "Sports",
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+ },
+ {
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+ "Group": "Electronics",
+ "ColorVal": 70
+ },
+ {
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+ "Group": "Clothing",
+ "ColorVal": 75.3
+ },
+ {
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+ "Group": "Food",
+ "ColorVal": 64.7
+ },
+ {
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+ "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
+ },
+ {
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+ "Group": "Food",
+ "Size": 8.3
+ },
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+ "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
+ },
+ {
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+ "Group": "Food",
+ "Size": 34
+ },
+ {
+ "X": 99.3,
+ "Group": "Books",
+ "Size": 92.6
+ },
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+ "Group": "Sports",
+ "Size": 55.5
+ },
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+ "Group": "Electronics",
+ "Size": 73.8
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+ "Group": "Clothing",
+ "Size": 13.7
+ },
+ {
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+ "Group": "Food",
+ "Size": 62.1
+ },
+ {
+ "X": 13.8,
+ "Group": "Books",
+ "Size": 21.3
+ },
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+ "X": 50.5,
+ "Group": "Sports",
+ "Size": 66.6
+ },
+ {
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+ "Group": "Electronics",
+ "Size": 41.2
+ },
+ {
+ "X": 19.9,
+ "Group": "Clothing",
+ "Size": 54.3
+ },
+ {
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+ "Group": "Food",
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+ },
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+ "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
+ },
+ {
+ "Category": "Clothing",
+ "Group": "Mexico",
+ "Size": 152
+ },
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+ "Group": "South Korea",
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+ }
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+ }
+}
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": [
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+ "Y": 46.1,
+ "Group": "Electronics"
+ },
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+ "Group": "Clothing"
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+ "Group": "Books"
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+ "Group": "Electronics"
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+ "Group": "Clothing"
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+ "Group": "Food"
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+ "Group": "Books"
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+ "Group": "Electronics"
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+ "Y": 66.3,
+ "Group": "Clothing"
+ },
+ {
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+ "Y": 5.7,
+ "Group": "Food"
+ },
+ {
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+ "Y": 52,
+ "Group": "Books"
+ },
+ {
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+ "Y": 39.5,
+ "Group": "Electronics"
+ },
+ {
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+ "Y": 70,
+ "Group": "Clothing"
+ },
+ {
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+ "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"
+ },
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+ "Value": 915,
+ "Segment": "China"
+ },
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+ "Category": "Laptop",
+ "Value": 695,
+ "Segment": "Japan"
+ },
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+ "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"
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+ "Value": 496,
+ "Segment": "USA"
+ },
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+ "Value": 498,
+ "Segment": "China"
+ },
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+ "Segment": "Japan"
+ },
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+ "Value": 650,
+ "Segment": "Germany"
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+ "Value": 532,
+ "Segment": "UK"
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+ "Segment": "USA"
+ },
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+ "Segment": "China"
+ },
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+ "Value": 77,
+ "Segment": "Japan"
+ },
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+ "Value": 414,
+ "Segment": "Germany"
+ },
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+ "Category": "Keyboard",
+ "Value": 515,
+ "Segment": "UK"
+ },
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+ "Value": 537,
+ "Segment": "USA"
+ },
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+ "Value": 674,
+ "Segment": "China"
+ },
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+ "Value": 311,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Mouse",
+ "Value": 542,
+ "Segment": "Germany"
+ },
+ {
+ "Category": "Mouse",
+ "Value": 334,
+ "Segment": "UK"
+ },
+ {
+ "Category": "Headphones",
+ "Value": 942,
+ "Segment": "USA"
+ },
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+ "Category": "Headphones",
+ "Value": 547,
+ "Segment": "China"
+ },
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+ "Value": 289,
+ "Segment": "Japan"
+ },
+ {
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+ "Value": 306,
+ "Segment": "Germany"
+ },
+ {
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+ "Value": 551,
+ "Segment": "UK"
+ },
+ {
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+ "Value": 559,
+ "Segment": "USA"
+ },
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+ "Segment": "China"
+ },
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+ "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"
+ },
+ {
+ "Category": "Kimberly Thomas",
+ "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"
+ },
+ {
+ "Category": "Karen Garcia",
+ "Value": 773,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Sarah Torres",
+ "Value": 712,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Sarah Torres",
+ "Value": 220,
+ "Segment": "China"
+ },
+ {
+ "Category": "Sarah Torres",
+ "Value": 767,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Emily Hill",
+ "Value": 438,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Emily Hill",
+ "Value": 514,
+ "Segment": "China"
+ },
+ {
+ "Category": "Emily Hill",
+ "Value": 971,
+ "Segment": "Japan"
+ },
+ {
+ "Category": "Sarah Walker",
+ "Value": 845,
+ "Segment": "USA"
+ },
+ {
+ "Category": "Sarah Walker",
+ "Value": 439,
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+ },
+ {
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+ "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": [
+ {
+ "Category": "Laptop",
+ "Value": 628,
+ "ColorVal": 1
+ },
+ {
+ "Category": "Laptop",
+ "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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+ "Category": "Phone",
+ "Value": 607,
+ "ColorVal": 2
+ },
+ {
+ "Category": "Phone",
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+ "ColorVal": 3
+ },
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+ "Category": "Phone",
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+ "ColorVal": 4
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+ },
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+ },
+ {
+ "Category": "Keyboard",
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+ "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": {
+ "values": [
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+ "Category": "Laptop",
+ "Value": 278,
+ "ColorVal": 1
+ },
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+ "Value": 373,
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+ },
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+ "Category": "Monitor",
+ "Value": 281,
+ "ColorVal": 25
+ },
+ {
+ "Category": "Monitor",
+ "Value": 123,
+ "ColorVal": 26
+ },
+ {
+ "Category": "Monitor",
+ "Value": 340,
+ "ColorVal": 27
+ },
+ {
+ "Category": "Monitor",
+ "Value": 525,
+ "ColorVal": 28
+ },
+ {
+ "Category": "Monitor",
+ "Value": 529,
+ "ColorVal": 29
+ },
+ {
+ "Category": "Monitor",
+ "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"
+ },
+ {
+ "Date": "2021-07-01",
+ "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"
+ },
+ {
+ "Date": "2021-03-14",
+ "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"
+ },
+ {
+ "Date": "2021-08-25",
+ "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): [${s.cases.join(', ')}]`);
+}
diff --git a/test-harness/excel/evaluations/render-client.mjs b/test-harness/excel/evaluations/render-client.mjs
new file mode 100644
index 00000000..d7586ac1
--- /dev/null
+++ b/test-harness/excel/evaluations/render-client.mjs
@@ -0,0 +1,158 @@
+// @ts-check
+
+const DEFAULT_SERVER = 'https://localhost:3000';
+const HEALTH_CHECK_INTERVAL_MS = 2_000;
+
+/** @param {number} milliseconds */
+function wait(milliseconds) {
+ return new Promise((resolve) => setTimeout(resolve, milliseconds));
+}
+
+/**
+ * @param {string} server
+ * @returns {Promise<{ instance_id: string, worker_ready: boolean }>}
+ */
+async function readHealth(server) {
+ const response = await fetch(`${server}/health`);
+ if (!response.ok) throw new Error(`Office runner health check failed with HTTP ${response.status}.`);
+ const health = /** @type {{ instance_id?: unknown, worker_ready?: unknown }} */ (await response.json());
+ if (typeof health.instance_id !== 'string' || typeof health.worker_ready !== 'boolean') {
+ throw new Error('Office runner returned an invalid health response.');
+ }
+ return { instance_id: health.instance_id, worker_ready: health.worker_ready };
+}
+
+/**
+ * @param {string} path
+ * @param {unknown} body
+ * @param {{ server?: string, timeoutMs?: number, retries?: number }} options
+ * @returns {Promise<{ png: Buffer, inspection: unknown | null }>}
+ */
+async function enqueueAndCollect(path, body, options) {
+ const server = options.server ?? DEFAULT_SERVER;
+ const timeoutMs = options.timeoutMs ?? 60_000;
+ const retries = options.retries ?? 3;
+ let initialHealth;
+ try {
+ initialHealth = await readHealth(server);
+ } catch (error) {
+ const message = error instanceof Error ? error.message : String(error);
+ throw new Error(`Excel worker is unreachable at ${server}: ${message}`);
+ }
+ if (!initialHealth.worker_ready) {
+ throw new Error('Excel task pane is not connected; open the Flint Render add-in before rendering.');
+ }
+ let enqueue;
+
+ for (let attempt = 1; attempt <= retries; attempt += 1) {
+ try {
+ enqueue = await fetch(`${server}${path}`, {
+ method: 'POST',
+ headers: { 'Content-Type': 'application/json' },
+ body: JSON.stringify(body),
+ });
+ break;
+ } catch (error) {
+ if (attempt === retries) throw error;
+ await wait(500 * attempt);
+ }
+ }
+
+ if (!enqueue) throw new Error(`Excel worker is unreachable at ${server}.`);
+ if (!enqueue.ok) {
+ const message = await enqueue.text();
+ throw new Error(`Excel worker rejected the job (${enqueue.status}): ${message}`);
+ }
+ const payload = /** @type {{ id?: unknown }} */ (await enqueue.json());
+ if (!Number.isInteger(payload.id)) throw new Error('Excel worker returned an invalid job id.');
+ const id = /** @type {number} */ (payload.id);
+ const deadline = Date.now() + timeoutMs;
+ let nextHealthCheckAt = Date.now() + HEALTH_CHECK_INTERVAL_MS;
+
+ while (Date.now() < deadline) {
+ let response;
+ try {
+ response = await fetch(`${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, inspection?: 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 {
+ png: Buffer.from(result.pngBase64, 'base64'),
+ inspection: result.inspection ?? null,
+ };
+ }
+ if (response.status !== 204) {
+ throw new Error(`Excel worker result polling failed with HTTP ${response.status}.`);
+ }
+ if (Date.now() >= nextHealthCheckAt) {
+ const health = await readHealth(server);
+ if (health.instance_id !== initialHealth.instance_id) {
+ throw new Error('Office runner restarted while rendering; the queued job was lost and must be retried.');
+ }
+ if (!health.worker_ready) {
+ await fetch(`${server}/cancel?id=${id}`, { method: 'POST' }).catch(() => {});
+ throw new Error('Excel task pane disconnected while rendering.');
+ }
+ nextHealthCheckAt = Date.now() + HEALTH_CHECK_INTERVAL_MS;
+ }
+ await wait(300);
+ }
+
+ await fetch(`${server}/cancel?id=${id}`, { method: 'POST' }).catch(() => {});
+ throw new Error('Timed out waiting for the Excel Office.js worker.');
+}
+
+/**
+ * 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<{ png: Buffer, inspection: unknown | null }>}
+ */
+export async function renderExcelArtifactDetailed(artifact, options = {}) {
+ return enqueueAndCollect('/enqueue', {
+ artifact,
+ renderOptions: {
+ scale: options.scale ?? 3,
+ inspectNativeChart: options.inspectNativeChart ?? false,
+ },
+ }, options);
+}
+
+/**
+ * Render one evaluation-only Office.js program over transformed rows.
+ *
+ * @param {string} officejsCode
+ * @param {Array>} data
+ * @param {{ server?: string, scale?: number, timeoutMs?: number, retries?: number, inspectNativeChart?: boolean }} [options]
+ * @returns {Promise<{ png: Buffer, inspection: unknown | null }>}
+ */
+export async function renderOfficeJsProgramDetailed(officejsCode, data, options = {}) {
+ return enqueueAndCollect('/enqueue-program', {
+ officejsCode,
+ data,
+ renderOptions: {
+ scale: options.scale ?? 2,
+ inspectNativeChart: options.inspectNativeChart ?? false,
+ },
+ }, options);
+}
+
+/**
+ * Render one artifact and return only its PNG bytes.
+ *
+ * @param {unknown} artifact
+ * @param {{ server?: string, scale?: number, timeoutMs?: number, retries?: number, inspectNativeChart?: boolean }} [options]
+ * @returns {Promise}
+ */
+export async function renderExcelArtifact(artifact, options = {}) {
+ return (await renderExcelArtifactDetailed(artifact, options)).png;
+}
diff --git a/test-harness/excel/evaluations/update-examples.mjs b/test-harness/excel/evaluations/update-examples.mjs
new file mode 100644
index 00000000..c645f647
--- /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/waterfall-chart/02-card7.excel.png', 'waterfall.png'],
+ ['out/gallery/pyramid-chart/00-card18.excel.png', 'pyramid.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'],
+ ['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
new file mode 100644
index 00000000..8665db76
Binary files /dev/null and b/test-harness/excel/office-runner/officejs/icon-16.png differ
diff --git a/test-harness/excel/office-runner/officejs/icon-32.png b/test-harness/excel/office-runner/officejs/icon-32.png
new file mode 100644
index 00000000..776dfe27
Binary files /dev/null and b/test-harness/excel/office-runner/officejs/icon-32.png differ
diff --git a/test-harness/excel/office-runner/officejs/icon-80.png b/test-harness/excel/office-runner/officejs/icon-80.png
new file mode 100644
index 00000000..c38979c4
Binary files /dev/null and b/test-harness/excel/office-runner/officejs/icon-80.png differ
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 @@
+
+
+
+ 2e3cb77a-afbe-499c-9c60-9b0dca994868
+ 1.0.0.0
+ Flint
+ en-US
+
+ https://localhost:3000
+
+
+
+
+
+
+
+
+
+ ReadWriteDocument
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ FlintTaskpane
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/test-harness/excel/office-runner/officejs/taskpane.html b/test-harness/excel/office-runner/officejs/taskpane.html
new file mode 100644
index 00000000..447371c9
--- /dev/null
+++ b/test-harness/excel/office-runner/officejs/taskpane.html
@@ -0,0 +1,87 @@
+
+
+
+
+
+ Flint Render
+
+
+
+
+
+
+ 
+
+ Flint Render
+ Office.js chart → PNG worker
+
+
+
+ initializing…
+
+
+ Last render
+ no charts rendered yet
+
+
+
+
+ 0rendered
+ —last type
+
+
+
+
+ Activity
+
+
+
+
+
+
diff --git a/test-harness/excel/office-runner/officejs/taskpane.js b/test-harness/excel/office-runner/officejs/taskpane.js
new file mode 100644
index 00000000..4fed1d40
--- /dev/null
+++ b/test-harness/excel/office-runner/officejs/taskpane.js
@@ -0,0 +1,186 @@
+/* global Office, Excel */
+// @ts-nocheck
+import { renderExcelChart } from '/flint-excel-backend.js';
+
+/**
+ * taskpane.js — Office.js render worker.
+ *
+ * Long-polls the local server for Flint Excel artifacts, delegates execution
+ * to the flint-chart/excel runtime, and posts the resulting PNG back.
+ */
+
+const SERVER = 'https://localhost:3000';
+const BLOCKED_CHART_TYPES = new Map([
+ ['pareto', 'Native Pareto rendering is disabled because Excel for Mac exits while creating the chart.'],
+]);
+const el = (id) => document.getElementById(id);
+let renderCount = 0;
+let codeVersion = null;
+let polling = false;
+
+function setStatus(text, cls) {
+ const s = el('status');
+ if (s) s.className = `status ${cls || 'idle'}`;
+ const t = el('status-text');
+ if (t) t.textContent = text;
+}
+function log(msg) {
+ const l = el('log');
+ if (l) l.textContent = `${new Date().toLocaleTimeString()} ${msg}\n` + l.textContent;
+}
+function showPreview(base64, type) {
+ const p = el('preview');
+ if (p) {
+ p.innerHTML = '';
+ const img = document.createElement('img');
+ img.src = `data:image/png;base64,${base64}`;
+ p.appendChild(img);
+ }
+ renderCount += 1;
+ if (el('m-count')) el('m-count').textContent = String(renderCount);
+ if (el('m-type')) el('m-type').textContent = type || '—';
+}
+
+function describeError(error) {
+ const parts = [String(error?.message || error)];
+ if (error?.code) parts.push(`code=${error.code}`);
+ if (error?.debugInfo?.errorLocation) parts.push(`location=${error.debugInfo.errorLocation}`);
+ if (error?.debugInfo?.statement) parts.push(`statement=${error.debugInfo.statement}`);
+ if (error?.debugInfo?.surroundingStatements) {
+ parts.push(`context=${error.debugInfo.surroundingStatements.join(' | ')}`);
+ }
+ return parts.join('; ');
+}
+
+async function cleanActiveWorksheet() {
+ await Excel.run(async (context) => {
+ const sheet = context.workbook.worksheets.getActiveWorksheet();
+ sheet.charts.load('items/name');
+ const usedRange = sheet.getUsedRangeOrNullObject();
+ await context.sync();
+ sheet.charts.items.forEach((chart) => chart.delete());
+ if (!usedRange.isNullObject) usedRange.clear();
+ await context.sync();
+ });
+}
+
+async function renderGeneratedProgram(job) {
+ if (job.renderOptions?.cleanWorksheet !== false) await cleanActiveWorksheet();
+ const module = await import(`${SERVER}/generated-program/${job.id}.mjs?v=${Date.now()}`);
+ if (typeof module.renderChart !== 'function') {
+ throw new Error('Generated Office.js module does not export renderChart.');
+ }
+ await module.renderChart(Excel, job.data);
+ return Excel.run(async (context) => {
+ const sheet = context.workbook.worksheets.getActiveWorksheet();
+ sheet.charts.load('items/name,items/chartType,items/width,items/height');
+ const usedRange = sheet.getUsedRangeOrNullObject();
+ usedRange.load('isNullObject,address,values');
+ await context.sync();
+ if (sheet.charts.items.length !== 1) {
+ throw new Error(`Generated Office.js created ${sheet.charts.items.length} charts; expected exactly one.`);
+ }
+ const chart = sheet.charts.items[0];
+ chart.series.load('items/name');
+ const scale = Number(job.renderOptions?.scale ?? 2);
+ const image = chart.getImage(
+ Math.round(chart.width * (96 / 72) * scale),
+ Math.round(chart.height * (96 / 72) * scale),
+ Excel.ImageFittingMode.fit,
+ );
+ await context.sync();
+ return {
+ pngBase64: image.value,
+ inspection: job.renderOptions?.inspectNativeChart ? {
+ usedRange: usedRange.isNullObject ? null : {
+ address: usedRange.address,
+ values: usedRange.values,
+ },
+ chart: {
+ name: chart.name,
+ chartType: chart.chartType,
+ width: chart.width,
+ height: chart.height,
+ series: chart.series.items.map((series) => ({ name: series.name })),
+ },
+ } : null,
+ };
+ });
+}
+
+/** Auto-reload: reload the pane whenever the served worker code changes. */
+async function checkVersion() {
+ try {
+ const r = await fetch(`${SERVER}/version`);
+ if (!r.ok) return;
+ const { version } = await r.json();
+ if (codeVersion === null) { codeVersion = version; return; }
+ if (version !== codeVersion) {
+ log('code changed — reloading…');
+ setTimeout(() => location.reload(), 200);
+ }
+ } catch { /* ignore */ }
+}
+
+async function poll() {
+ if (polling) return;
+ polling = true;
+ try {
+ const res = await fetch(`${SERVER}/next-job`);
+ if (res.status === 204) {
+ setStatus('ready — waiting for jobs', 'ready');
+ return;
+ }
+ const job = await res.json();
+ const renderType = job.kind === 'program' ? 'generated Office.js' : job.artifact.chartType;
+ const renderTitle = job.kind === 'program' ? renderType : job.artifact.title || renderType;
+ setStatus(`rendering “${renderTitle}”…`, 'busy');
+ log(`job ${job.id}: ${renderType}`);
+ try {
+ const blockedReason = BLOCKED_CHART_TYPES.get(String(renderType ?? '').toLowerCase());
+ if (blockedReason) throw new Error(blockedReason);
+ const { pngBase64, inspection } = job.kind === 'program'
+ ? await renderGeneratedProgram(job)
+ : await renderExcelChart(Excel, job.artifact, job.renderOptions);
+ const completedType = inspection?.chart?.chartType || renderType;
+ await fetch(`${SERVER}/result`, {
+ method: 'POST',
+ headers: { 'Content-Type': 'application/json' },
+ body: JSON.stringify({ id: job.id, name: completedType, pngBase64, inspection }),
+ });
+ showPreview(pngBase64, completedType);
+ log(`job ${job.id}: rendered (${pngBase64.length} b64 chars)`);
+ } catch (err) {
+ const errorMessage = describeError(err);
+ log(`job ${job.id}: ERROR ${errorMessage}`);
+ await fetch(`${SERVER}/result`, {
+ method: 'POST',
+ headers: { 'Content-Type': 'application/json' },
+ body: JSON.stringify({ id: job.id, error: errorMessage }),
+ });
+ }
+ } catch (err) {
+ setStatus(`server unreachable: ${err.message}`, 'err');
+ } finally {
+ polling = false;
+ }
+}
+
+Office.onReady((info) => {
+ if (info.host !== Office.HostType.Excel) {
+ setStatus(`wrong host: ${info.host} (open in Excel)`, 'err');
+ return;
+ }
+ setStatus('ready — polling for jobs', 'ready');
+ log('worker ready');
+ // announce ourselves so the server logs that the pane connected
+ fetch(`${SERVER}/ready`, {
+ method: 'POST',
+ headers: { 'Content-Type': 'text/plain' },
+ body: `host=${info.host} platform=${info.platform}`,
+ }).catch((e) => log(`ready ping failed: ${e.message}`));
+ checkVersion();
+ poll();
+ setInterval(checkVersion, 1500);
+ setInterval(poll, 800);
+});
diff --git a/test-harness/excel/office-runner/server.mjs b/test-harness/excel/office-runner/server.mjs
new file mode 100644
index 00000000..c7362faa
--- /dev/null
+++ b/test-harness/excel/office-runner/server.mjs
@@ -0,0 +1,398 @@
+#!/usr/bin/env node
+// @ts-check
+/**
+ * server.mjs — local HTTPS render server for the Office.js add-in harness.
+ *
+ * Pattern: Excel + the sideloaded task pane stay open and act as a rendering
+ * worker. The task pane long-polls this server for jobs, runs Office.js to
+ * build a chart and calls `chart.getImage()`, then POSTs the Base64 PNG back.
+ * The CLI enqueues jobs and waits for the resulting PNG file.
+ *
+ * Terminal A: npm run server # start server (once)
+ * # open Excel, load the "Flint Render" add-in task pane (once)
+ * Terminal B: npm run render -- artifact.json evaluations/out/chart.png
+ *
+ * HTTPS is mandatory for Office add-ins. Uses the office-addin-dev-certs CA
+ * (run `npx office-addin-dev-certs install` once).
+ */
+
+import https from 'node:https';
+import { readFile, writeFile, mkdir } from 'node:fs/promises';
+import { existsSync, readFileSync, statSync } from 'node:fs';
+import { join, dirname, resolve, extname, basename } from 'node:path';
+import { fileURLToPath } from 'node:url';
+import { homedir } from 'node:os';
+import { execFileSync } from 'node:child_process';
+
+const here = dirname(fileURLToPath(import.meta.url));
+const PORT = 3000;
+const flintJsRoot = resolve(here, '../../../packages/flint-js');
+const excelBackendBundle = join(flintJsRoot, 'dist/excel/index.js');
+
+/** In-memory job queue + results. */
+/** @type {Array<{ id: number, kind: 'artifact' | 'program', artifact?: any, data?: any[], renderOptions: any, enqueuedAt: number }>} */
+const queue = [];
+const results = new Map(); // id -> { name, pngBase64 }
+const programSources = new Map(); // id -> validated evaluation-only Office.js source
+let nextId = 1;
+let workerSeen = false; // has the task pane ever contacted us?
+let workerLastSeenAt = 0;
+const JOB_TTL_MS = 120_000;
+const WORKER_STALE_MS = 5_000;
+const SERVER_INSTANCE_ID = `${process.pid}-${Date.now()}`;
+const BLOCKED_CHART_TYPES = new Map([
+ ['pareto', 'Native Pareto rendering is disabled because Excel for Mac exits while creating the chart.'],
+]);
+
+/** @type {Record} */
+const MIME = {
+ '.html': 'text/html; charset=utf-8',
+ '.js': 'text/javascript; charset=utf-8',
+ '.mjs': 'text/javascript; charset=utf-8',
+ '.css': 'text/css; charset=utf-8',
+ '.json': 'application/json; charset=utf-8',
+};
+
+function loadDevCerts() {
+ // office-addin-dev-certs writes to ~/.office-addin-dev-certs
+ const base = join(homedir(), '.office-addin-dev-certs');
+ const key = join(base, 'localhost.key');
+ const cert = join(base, 'localhost.crt');
+ const ca = join(base, 'ca.crt');
+ if (!existsSync(key) || !existsSync(cert)) {
+ console.error(
+ 'Dev certs not found. Run: npx office-addin-dev-certs install\n' +
+ `Expected key/cert under ${base}`,
+ );
+ process.exit(1);
+ }
+ return {
+ key: readFileSync(key),
+ cert: readFileSync(cert),
+ ca: existsSync(ca) ? readFileSync(ca) : undefined,
+ };
+}
+
+/**
+ * @param {import('http').ServerResponse} res
+ * @param {number} status
+ * @param {string | Buffer} body
+ * @param {string} [contentType]
+ */
+function send(res, status, body, contentType = 'application/json') {
+ res.writeHead(status, {
+ 'Content-Type': contentType,
+ 'Access-Control-Allow-Origin': '*',
+ 'Access-Control-Allow-Headers': 'Content-Type',
+ 'Access-Control-Allow-Methods': 'GET,POST,OPTIONS',
+ });
+ res.end(body);
+}
+
+/** @param {import('http').IncomingMessage} req */
+async function readBody(req) {
+ const chunks = [];
+ for await (const c of req) chunks.push(c);
+ return Buffer.concat(chunks).toString('utf8');
+}
+
+async function startServer() {
+ execFileSync('npm', ['run', 'build', '--prefix', flintJsRoot], { stdio: 'inherit' });
+ const creds = loadDevCerts();
+ const server = https.createServer(creds, async (req, res) => {
+ const url = new URL(req.url ?? '/', `https://localhost:${PORT}`);
+ const path = url.pathname;
+
+ if (req.method === 'OPTIONS') return send(res, 204, '');
+
+ if (req.method === 'GET' && path === '/health') {
+ const workerReady = workerLastSeenAt > 0 && Date.now() - workerLastSeenAt <= WORKER_STALE_MS;
+ return send(res, 200, JSON.stringify({
+ status: 'ok',
+ instance_id: SERVER_INSTANCE_ID,
+ worker_ready: workerReady,
+ worker_last_seen_at: workerLastSeenAt > 0 ? new Date(workerLastSeenAt).toISOString() : null,
+ }));
+ }
+
+ // --- code version (for the pane's auto-reload) ---
+ if (req.method === 'GET' && path === '/version') {
+ workerLastSeenAt = Date.now();
+ let v = 0;
+ for (const f of ['officejs/taskpane.js', 'officejs/taskpane.html']) {
+ try { v = Math.max(v, statSync(join(here, f)).mtimeMs); } catch { /* ignore */ }
+ }
+ try { v = Math.max(v, statSync(excelBackendBundle).mtimeMs); } catch { /* ignore */ }
+ return send(res, 200, JSON.stringify({ version: Math.round(v) }));
+ }
+
+ // --- task pane announces itself on load ---
+ if (req.method === 'POST' && path === '/ready') {
+ const body = await readBody(req).catch(() => '');
+ console.log(`[worker] task pane connected: ${body || '(no info)'}`);
+ workerSeen = true;
+ workerLastSeenAt = Date.now();
+ return send(res, 200, JSON.stringify({ ok: true }));
+ }
+
+ // --- static files (task pane) ---
+ if (req.method === 'GET' && (path === '/' || path === '/taskpane.html')) {
+ const html = await readFile(join(here, 'officejs', 'taskpane.html'));
+ return send(res, 200, html, MIME['.html']);
+ }
+ if (req.method === 'GET' && path === '/flint-excel-backend.js') {
+ return send(res, 200, await readFile(excelBackendBundle), MIME['.js']);
+ }
+ if (req.method === 'GET' && path.startsWith('/officejs/')) {
+ const file = join(here, path.replace(/^\//, ''));
+ if (existsSync(file)) {
+ return send(res, 200, await readFile(file), MIME[extname(file)] ?? 'text/plain');
+ }
+ return send(res, 404, 'not found', 'text/plain');
+ }
+ if (req.method === 'GET' && path.startsWith('/generated-program/')) {
+ const id = Number(path.match(/^\/generated-program\/(\d+)\.mjs$/)?.[1]);
+ const source = programSources.get(id);
+ if (!source) return send(res, 404, 'not found', 'text/plain');
+ return send(res, 200, `${source}\nexport { renderChart };\n`, MIME['.mjs']);
+ }
+
+ // --- worker long-poll for next job ---
+ if (req.method === 'GET' && path === '/next-job') {
+ workerLastSeenAt = Date.now();
+ if (!workerSeen) {
+ workerSeen = true;
+ console.log('[worker] task pane is polling for jobs');
+ }
+ const now = Date.now();
+ while (queue.length > 0 && now - (queue[0].enqueuedAt ?? 0) > JOB_TTL_MS) {
+ const expired = queue.shift();
+ console.log(`[job ${expired?.id}] discarded after queue timeout`);
+ }
+ const job = queue.shift();
+ if (!job) return send(res, 204, '');
+ const description = job.kind === 'artifact' ? job.artifact?.chartType : 'generated Office.js';
+ console.log(`[job ${job.id}] dispatched to task pane (${description})`);
+ return send(res, 200, JSON.stringify(job));
+ }
+
+ // --- worker posts a rendered PNG ---
+ if (req.method === 'POST' && path === '/result') {
+ const body = JSON.parse(await readBody(req));
+ results.set(body.id, {
+ name: body.name,
+ pngBase64: body.pngBase64,
+ inspection: body.inspection,
+ error: body.error,
+ });
+ programSources.delete(body.id);
+ if (body.error) console.log(`[job ${body.id}] ERROR from task pane: ${body.error}`);
+ else console.log(`[job ${body.id}] received PNG (${(body.pngBase64 || '').length} b64 chars)`);
+ return send(res, 200, JSON.stringify({ ok: true }));
+ }
+
+ // --- CLI enqueues a job ---
+ if (req.method === 'POST' && path === '/enqueue') {
+ const payload = JSON.parse(await readBody(req));
+ if (!payload || typeof payload !== 'object' || !payload.artifact) {
+ return send(res, 400, JSON.stringify({ error: 'Expected { artifact, renderOptions? }.' }));
+ }
+ const artifact = payload.artifact;
+ if (artifact.schema !== 'flint.excel.chart/v1' || artifact.kind !== 'chart') {
+ return send(res, 422, JSON.stringify({ error: 'Expected a flint.excel.chart/v1 chart artifact.' }));
+ }
+ const renderOptions = {
+ scale: payload.renderOptions?.scale ?? 3,
+ cleanWorksheet: payload.renderOptions?.cleanWorksheet ?? true,
+ inspectNativeChart: payload.renderOptions?.inspectNativeChart ?? false,
+ };
+ const blockedReason = BLOCKED_CHART_TYPES.get(String(artifact.chartType ?? '').toLowerCase());
+ if (blockedReason) {
+ return send(res, 422, JSON.stringify({ error: blockedReason }));
+ }
+ const id = nextId++;
+ queue.push({ id, kind: 'artifact', artifact, renderOptions, enqueuedAt: Date.now() });
+ return send(res, 200, JSON.stringify({ id }));
+ }
+
+ // --- evaluation-only generated Office.js jobs ---
+ if (req.method === 'POST' && path === '/enqueue-program') {
+ const payload = JSON.parse(await readBody(req));
+ if (!payload || typeof payload !== 'object' || typeof payload.officejsCode !== 'string') {
+ return send(res, 400, JSON.stringify({ error: 'Expected { officejsCode, data, renderOptions? }.' }));
+ }
+ if (!Array.isArray(payload.data) || payload.data.length === 0) {
+ return send(res, 422, JSON.stringify({ error: 'Generated Office.js jobs require transformed data rows.' }));
+ }
+ if (payload.data.length > 10_000 || payload.officejsCode.length > 200_000) {
+ return send(res, 413, JSON.stringify({ error: 'Generated Office.js job exceeds evaluation limits.' }));
+ }
+ const renderOptions = {
+ scale: payload.renderOptions?.scale ?? 2,
+ cleanWorksheet: payload.renderOptions?.cleanWorksheet ?? true,
+ inspectNativeChart: payload.renderOptions?.inspectNativeChart ?? false,
+ };
+ const id = nextId++;
+ programSources.set(id, payload.officejsCode);
+ queue.push({
+ id,
+ kind: 'program',
+ data: payload.data,
+ renderOptions,
+ enqueuedAt: Date.now(),
+ });
+ return send(res, 200, JSON.stringify({ id }));
+ }
+
+ // --- CLI cancels an abandoned queued job ---
+ if (req.method === 'POST' && path === '/cancel') {
+ const id = Number(url.searchParams.get('id'));
+ const index = queue.findIndex((job) => job.id === id);
+ if (index >= 0) queue.splice(index, 1);
+ results.delete(id);
+ programSources.delete(id);
+ return send(res, 200, JSON.stringify({ cancelled: index >= 0 }));
+ }
+
+ // --- CLI polls for a result ---
+ if (req.method === 'GET' && path === '/result') {
+ const id = Number(url.searchParams.get('id'));
+ const r = results.get(id);
+ if (!r) return send(res, 204, '');
+ results.delete(id);
+ return send(res, 200, JSON.stringify(r));
+ }
+
+ return send(res, 404, JSON.stringify({ error: 'not found' }));
+ });
+
+ server.listen(PORT, () => {
+ console.log(`Flint Office.js render server: https://localhost:${PORT}`);
+ console.log('Open Excel and load the "Flint Render" add-in task pane, then enqueue jobs.');
+ });
+}
+
+/** CLI: enqueue an artifact against a running server and wait for the PNG.
+ * @param {string} artifactFile
+ * @param {string} outPath */
+async function renderViaServer(artifactFile, outPath) {
+ const artifact = JSON.parse(readFileSync(artifactFile, 'utf8'));
+ const base = `https://localhost:${PORT}`;
+
+ const enq = await fetch(`${base}/enqueue`, {
+ method: 'POST',
+ headers: { 'Content-Type': 'application/json' },
+ body: JSON.stringify({ artifact }),
+ }).catch((e) => {
+ throw new Error(`server not reachable at ${base} (start it first): ${e.message}`);
+ });
+ if (!enq.ok) throw new Error(`server rejected artifact with HTTP ${enq.status}: ${await enq.text()}`);
+ const { id } = /** @type {{ id: number }} */ (await enq.json());
+ console.log(`enqueued job ${id}; waiting for the Excel task pane to render…`);
+
+ const deadline = Date.now() + 120_000;
+ while (Date.now() < deadline) {
+ const r = await fetch(`${base}/result?id=${id}`);
+ if (r.status === 200) {
+ const { pngBase64, error } = /** @type {{ pngBase64?: string, error?: string }} */ (await r.json());
+ if (error) throw new Error(`render error: ${error}`);
+ if (typeof pngBase64 !== 'string' || pngBase64.length === 0) {
+ throw new Error('render error: worker returned no PNG payload');
+ }
+ const out = resolve(outPath);
+ await mkdir(dirname(out), { recursive: true });
+ await writeFile(out, Buffer.from(pngBase64, 'base64'));
+ console.log(`rendered ${out}`);
+ return;
+ }
+ await new Promise((r2) => setTimeout(r2, 500));
+ }
+ await fetch(`${base}/cancel?id=${id}`, { method: 'POST' }).catch(() => {});
+ throw new Error('timed out waiting for the task pane to render (is Excel + add-in open?)');
+}
+
+/** Batch: enqueue many specs at once and collect all PNGs from the single
+ * long-lived Excel worker (one instance renders the whole queue sequentially).
+ * Usage: npm run render:batch -- [--out DIR] artifact1.json artifact2.json …
+ * @param {string[]} args
+ */
+async function renderBatchViaServer(args) {
+ let outDir = 'out';
+ /** @type {string[]} */
+ const artifactFiles = [];
+ for (let i = 0; i < args.length; i++) {
+ if (args[i] === '--out') { outDir = args[++i]; continue; }
+ artifactFiles.push(args[i]);
+ }
+ if (artifactFiles.length === 0) {
+ throw new Error('usage: npm run render:batch -- [--out DIR] ');
+ }
+ const base = `https://localhost:${PORT}`;
+
+ // 1) enqueue everything up front so the worker can pipeline the queue
+ /** @type {Array<{ id: number, name: string }>} */
+ const jobs = [];
+ for (const artifactFile of artifactFiles) {
+ const artifact = JSON.parse(readFileSync(artifactFile, 'utf8'));
+ const name = basename(artifactFile).replace(/\.json$/, '');
+ const enq = await fetch(`${base}/enqueue`, {
+ method: 'POST',
+ headers: { 'Content-Type': 'application/json' },
+ body: JSON.stringify({ artifact }),
+ }).catch((e) => {
+ throw new Error(`server not reachable at ${base} (start it first): ${e.message}`);
+ });
+ if (!enq.ok) throw new Error(`server rejected ${artifactFile} with HTTP ${enq.status}: ${await enq.text()}`);
+ const { id } = /** @type {{ id: number }} */ (await enq.json());
+ jobs.push({ id, name });
+ }
+ console.log(`enqueued ${jobs.length} jobs; one Excel worker renders them in sequence…`);
+
+ // 2) collect results in order
+ const deadline = Date.now() + 60_000 * Math.max(1, jobs.length);
+ let ok = 0;
+ for (const job of jobs) {
+ let done = false;
+ while (!done && Date.now() < deadline) {
+ const r = await fetch(`${base}/result?id=${job.id}`);
+ if (r.status === 200) {
+ const { pngBase64, error } = /** @type {{ pngBase64?: string, error?: string }} */ (await r.json());
+ if (error) {
+ console.error(` ✗ ${job.name}: ${error}`);
+ } else if (typeof pngBase64 !== 'string' || pngBase64.length === 0) {
+ console.error(` ✗ ${job.name}: worker returned no PNG payload`);
+ } else {
+ const out = resolve(outDir, `${job.name}.png`);
+ await mkdir(dirname(out), { recursive: true });
+ await writeFile(out, Buffer.from(pngBase64, 'base64'));
+ console.log(` ✓ ${job.name} → ${out}`);
+ ok += 1;
+ }
+ done = true;
+ } else {
+ await new Promise((r2) => setTimeout(r2, 400));
+ }
+ }
+ if (!done) {
+ await fetch(`${base}/cancel?id=${job.id}`, { method: 'POST' }).catch(() => {});
+ console.error(` ✗ ${job.name}: timed out`);
+ }
+ }
+ console.log(`${ok}/${jobs.length} rendered by a single Excel instance`);
+}
+
+const [cmd, a, b] = process.argv.slice(2);
+if (cmd === 'render') {
+ // NB: uses self-signed dev cert; trust the office-addin-dev-certs CA.
+ renderViaServer(a, b ?? 'evaluations/out/chart.png').catch((e) => {
+ console.error(e.message);
+ process.exit(1);
+ });
+} else if (cmd === 'render-batch') {
+ renderBatchViaServer(process.argv.slice(3)).catch((e) => {
+ console.error(e.message);
+ process.exit(1);
+ });
+} else {
+ startServer();
+}
diff --git a/test-harness/excel/office-runner/supervise-server.mjs b/test-harness/excel/office-runner/supervise-server.mjs
new file mode 100644
index 00000000..6a7180f9
--- /dev/null
+++ b/test-harness/excel/office-runner/supervise-server.mjs
@@ -0,0 +1,61 @@
+#!/usr/bin/env node
+// @ts-check
+
+import { spawn } from 'node:child_process';
+import { dirname, join } from 'node:path';
+import { fileURLToPath } from 'node:url';
+
+const here = dirname(fileURLToPath(import.meta.url));
+const serverPath = join(here, 'server.mjs');
+const MIN_RESTART_DELAY_MS = 1_000;
+const MAX_RESTART_DELAY_MS = 15_000;
+const STABLE_RUN_MS = 30_000;
+
+/** @type {import('node:child_process').ChildProcess | null} */
+let child = null;
+let stopping = false;
+let restartDelayMs = MIN_RESTART_DELAY_MS;
+/** @type {NodeJS.Timeout | null} */
+let restartTimer = null;
+
+function startServer() {
+ const startedAt = Date.now();
+ child = spawn(process.execPath, [serverPath], {
+ env: process.env,
+ stdio: 'inherit',
+ });
+
+ console.log(`[supervisor] started Office runner (pid ${child.pid})`);
+
+ child.on('error', (error) => {
+ console.error(`[supervisor] failed to start Office runner: ${error.message}`);
+ });
+
+ child.on('exit', (code, signal) => {
+ child = null;
+ if (stopping) process.exit(code ?? 0);
+
+ if (Date.now() - startedAt >= STABLE_RUN_MS) {
+ restartDelayMs = MIN_RESTART_DELAY_MS;
+ }
+ const reason = signal ? `signal ${signal}` : `exit code ${code}`;
+ console.error(`[supervisor] Office runner stopped (${reason}); restarting in ${restartDelayMs} ms`);
+ restartTimer = setTimeout(startServer, restartDelayMs);
+ restartDelayMs = Math.min(restartDelayMs * 2, MAX_RESTART_DELAY_MS);
+ });
+}
+
+/** @param {NodeJS.Signals} signal */
+function stop(signal) {
+ if (stopping) return;
+ stopping = true;
+ if (restartTimer) clearTimeout(restartTimer);
+ console.log(`[supervisor] stopping Office runner (${signal})`);
+ if (child) child.kill(signal);
+ else process.exit(0);
+}
+
+process.on('SIGINT', () => stop('SIGINT'));
+process.on('SIGTERM', () => stop('SIGTERM'));
+
+startServer();
\ No newline at end of file
diff --git a/test-harness/excel/package.json b/test-harness/excel/package.json
new file mode 100644
index 00000000..43577615
--- /dev/null
+++ b/test-harness/excel/package.json
@@ -0,0 +1,30 @@
+{
+ "name": "flint-excel-test-harness",
+ "version": "0.1.0",
+ "private": true,
+ "type": "module",
+ "description": "Office.js test harness for rendering and evaluating flint-chart Excel artifacts.",
+ "scripts": {
+ "server": "node office-runner/server.mjs",
+ "server:supervised": "node office-runner/supervise-server.mjs",
+ "render": "node office-runner/server.mjs render",
+ "render:batch": "node office-runner/server.mjs render-batch",
+ "evaluate:inputs": "node evaluations/gen-gallery-inputs.mjs",
+ "evaluate:gallery": "node evaluations/gallery-run.mjs",
+ "evaluate:sheets": "node evaluations/make-audit-sheets.mjs",
+ "evaluate:candlestick": "node evaluations/candlestick-audit.mjs",
+ "evaluate:layout": "node evaluations/layout-facet-audit.mjs",
+ "evaluate:examples": "node evaluations/update-examples.mjs",
+ "paired:corpus": "python3 evaluations/paired-agent/data/select-corpus.py",
+ "paired:generate": "python3 evaluations/paired-agent/generation/generate.py",
+ "paired:build": "python3 evaluations/paired-agent/generation/build.py",
+ "paired:summarize": "python3 evaluations/paired-agent/generation/summarize.py",
+ "paired:render": "node evaluations/paired-agent/rendering/render.mjs",
+ "paired:grade": "python3 evaluations/paired-agent/grading/grade.py",
+ "paired:export-packet": "python3 evaluations/paired-agent/grading/export-grading-packet.py",
+ "paired:ingest-grades": "python3 evaluations/paired-agent/grading/ingest-grades.py",
+ "paired:analyze": "python3 evaluations/paired-agent/analysis/analyze-grades.py",
+ "test:mock": "cd ../../packages/flint-js && npx vitest run tests/excel-runtime.test.ts tests/excel-codegen.test.ts",
+ "typecheck": "tsc -p tsconfig.json"
+ }
+}
diff --git a/test-harness/excel/tsconfig.json b/test-harness/excel/tsconfig.json
new file mode 100644
index 00000000..64361280
--- /dev/null
+++ b/test-harness/excel/tsconfig.json
@@ -0,0 +1,19 @@
+{
+ "compilerOptions": {
+ "target": "ES2022",
+ "lib": ["ES2022"],
+ "module": "NodeNext",
+ "moduleResolution": "NodeNext",
+ "allowJs": true,
+ "checkJs": true,
+ "noEmit": true,
+ "noImplicitAny": true,
+ "noImplicitThis": true,
+ "noFallthroughCasesInSwitch": true,
+ "skipLibCheck": true,
+ "resolveJsonModule": true,
+ "types": ["node"]
+ },
+ "include": ["office-runner/**/*.mjs", "office-runner/officejs/taskpane.js", "evaluations/*.mjs"],
+ "exclude": ["node_modules", "evaluations/out"]
+}