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4 changes: 4 additions & 0 deletions docs-mintlify/docs/explore-analyze/dashboards/index.mdx
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Expand Up @@ -18,6 +18,10 @@ Dashboards enable you to:

In the dashboard builder inside your [workbook][ref-workbooks], select the reports you want to include and arrange them on the canvas alongside other [widgets][ref-widgets] to tell your data story, then publish the dashboard. This gives stakeholders direct access to the insights that matter most, without the complexity of the underlying analysis.

## Data freshness

Each widget shows a [freshness](/docs/explore-analyze/workbooks/querying-data#result-freshness-and-provenance) leaf indicating how recently its data was refreshed. The dashboard's own leaf reflects its least-recently-refreshed widget, so you can see at a glance whether everything on the dashboard is up to date.

## Linking between dashboards

Dashboards can link to one another. When a table widget shows a dimension that
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2 changes: 2 additions & 0 deletions docs-mintlify/docs/explore-analyze/explore.mdx
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Expand Up @@ -45,6 +45,8 @@ Explore state is also saved in the URL, making it easy to share your exploration

If you have developer or admin access, you can [apply a security context](/docs/explore-analyze/workbooks/querying-data#applying-a-security-context) to an exploration to verify what a specific end user—or an AI agent querying on their behalf—would see.

Explore results carry the same [freshness and pre-aggregation indicators](/docs/explore-analyze/workbooks/querying-data#result-freshness-and-provenance) as workbook reports.

## Saving explorations

You can save an exploration so you can return to it later without
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Expand Up @@ -213,6 +213,13 @@ The **Semantic SQL** tab also has a dropdown for viewing the same query in the f

These views are convenient when you want to take a query you've built interactively in a workbook and reuse it directly through one of the Core Data APIs from your own application.

## Result freshness and provenance

Two indicators next to each result describe the data behind it.

- **Freshness** — a leaf icon shows how recently the underlying data was refreshed. Hover over it to see the last refresh time (for example, "Refreshed 5 minutes ago"); its color shifts as the data ages, so you can tell fresh from stale results at a glance. If the refresh time can't be determined, the leaf turns gray with a "Data age unknown" label. When you have access to [Query History](/admin/monitoring/query-history), clicking the leaf opens the underlying request for that result.
- **Pre-aggregation** — for those same users, a lightning-bolt icon appears next to the leaf with a "Served from a pre-aggregation" label whenever the result was served from a [pre-aggregation](/docs/pre-aggregations). If no icon is shown, the query ran directly against your data source.

## Editing Semantic SQL by hand

You can edit the Semantic SQL directly in the editor to refine a query — for example, to add a `WHERE` clause, change `GROUP BY` order, or apply a different sort. After making changes, click **Save and Run** to apply them to the query and refresh the results, or **Discard** to revert.
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