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Documentation Index

Fetch the complete documentation index at: https://sourcetable.com/docs/llms.txt

Use this file to discover all available pages before exploring further.

Sourcetable provides multiple ways to visualize your data — from simple bar charts to interactive Sankey diagrams and geographic maps. Create visualizations manually from the toolbar, or describe what you want and let the AI build it.

Visualization engines

Sourcetable uses three visualization engines, each suited to different use cases:
EngineBest forInteractivity
SourceChartsCommon charts embedded in the spreadsheet (bar, line, donut, scatter, polar, combo)Basic — hover tooltips, legend toggle
EChartsAdvanced charts with animations and rich interactivity (heatmaps, Sankey, tree maps, gauges)High — zoom, pan, brush select, animations
PlotlyStatistical and scientific charts, pivot visualizations, 3D plotsHigh — zoom, pan, hover details, export
The AI selects the best engine automatically based on what you ask for. You can also specify a preference.

Creating visualizations

Open the AI chat (Cmd+\ / Ctrl+\) and describe the visualization:
  • “Create a bar chart of revenue by quarter”
  • “Show a heatmap of correlations between all numeric columns”
  • “Build a Sankey diagram showing customer journey from signup to purchase”
  • “Make a candlestick chart of AAPL stock price for the last 6 months”

From the toolbar

  1. Select your data range (including headers)
  2. Click Insert > Chart
  3. Choose a chart type
  4. Configure axes, series, colors, and labels in the chart editor

Modifying visualizations

After creating a chart, ask the AI to modify it:
  • “Change the colors to a warm palette”
  • “Add data labels showing percentages”
  • “Switch to a stacked bar chart”
  • “Add a trend line”
  • “Make the y-axis logarithmic”

Chart types

Browse all 30+ supported chart types with examples.

Dashboards

Build multi-chart dashboards and publish them.

Maps

Create geographic visualizations with choropleth, bubble, and population maps.