Data tables
The Data tables pane lets you see the data behind each map layer. Turn it on from the ribbon (in editing mode) and the canvas splits, with a resizable pane along the bottom.
What it shows
- One tab per data layer, showing the rows that layer actually rendered — no extra queries are run against your data.
- Applied filters are shown as chips, so you can see what's currently narrowing each layer.
- Bound-row and match counts, useful for understanding why something is or isn't appearing on the map.
Selecting rows
You can select rows directly in a table:
- Click a row to select it, Ctrl+click to add or remove rows, and Shift+click to select a range.
- A selection chip shows how many rows are selected; press Escape to clear the selection.
- Zoom to selected frames the map on the selected rows' locations.
Column statistics
Each column header offers a statistics popover summarising the column over the current rows: row count, nulls, distinct values, minimum and maximum, sum and average for numeric columns, and the most frequent values. On very large tables the statistics are computed over a sample (beyond 250,000 rows) and labelled as sampled.
Running SQL
The pane also includes a SQL tab - the SQL workspace - where every layer becomes a queryable view and you can run spatial SQL over your data, entirely in the browser.
Exporting
From a data table you can:
- Copy rows to the clipboard,
- Save to OneLake as CSV, or
- Download a CSV.
Availability
The data tables pane is an authoring aid — it's available in editing mode and is deliberately not shown in the published viewer. It's the fastest way to check what your data looks like and to troubleshoot a layer that isn't drawing as expected.
Next steps
- SQL workspace - query your layers with spatial SQL.
- Connect to your data — where the rows come from.
- Publishing & sharing — what viewers see instead.