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A chart (internally called a “block”) is a single visualization that lives on a dashboard. Each chart is linked to a dataset and displays its results in one of three ways.

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Display types

TypeBest forDetails
TableBrowsing rows, searching, exploring raw data.Table
GraphTrends, comparisons, distributions. Line, area, bar, scatter, pie.Graph
StatisticsSingle-value KPIs with optional period-over-period deltas.Statistics

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Adding a chart to a dashboard

  1. Open a dashboard.
  2. Click the + button to add a new chart.
  3. Select the dataset that provides the data.
  4. Choose a display type, Table, Graph, or Stats.
  5. Configure the chart (axes, chart type, aggregations, etc.).
  6. The chart appears on the dashboard grid, ready to drag and resize.
You can also ask the AI to create charts for you, it can pick the right type, configure axes, and place the chart on the dashboard.

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One dataset, many charts

Because each chart has its own transformation configuration, a single dataset can power multiple charts with different views. For example, the same sales dataset could show a line chart of monthly trends and a table of individual transactions.