docs-mintlify/docs/explore-analyze/charts/index.mdx
Every tab in a Cube workbook has a chart panel. Once your query returns results, switch to the chart panel to pick a visualization type and configure how the data is displayed — from a simple bar chart to a composable KPI tile or a fully custom Vega-Lite spec.
Cube has built-in support for bar, line, area, pie, scatter, heatmap, KPI, map, boxplot, and more. See the chart types overview for a full list and guidance on which type fits which data shape.
Chart type icons at the top of the chart panel let you quickly switch between common layouts — grouped vs. stacked bars, line vs. area, table vs. chart view — without opening the full configuration panel.
Cube automatically picks a chart type when you run a new query. Any manual configuration you apply is preserved when you change query fields.
To discard your configuration and let Cube re-select a chart type based on the current query, open the tab options menu and choose Reset chart.
Describe the visualization you want in plain language — for example, "show this as a stacked bar grouped by status" — and the AI agent will build and configure it. You can also let the agent auto-suggest the best chart for your query results.
Charts generated by the AI are written as Vega-Lite v5 specs and can be further edited in the custom visualization spec editor.
Adjust the appearance of any chart through the configuration panel:
When the built-in chart types don't cover your use case, write a raw Vega-Lite spec or use an HTML template with Handlebars. Both options give you complete control over the rendered output.