Sourcetable can create geographic visualizations from location-based data. The AI generates maps using ECharts and Plotly, depending on the chart type.Documentation Index
Fetch the complete documentation index at: https://sourcetable.com/docs/llms.txt
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Map types
Choropleth maps
Color regions by value. Useful for showing metrics by country, state, or region.- “Show revenue by US state on a map”
- “Create a world map colored by GDP per capita”
- “Visualize customer density by European country”
Bubble maps
Plot data points on a map with bubble size representing magnitude.- “Show customer locations with deal size as bubble size”
- “Map our office locations with headcount”
- “Plot store locations with monthly revenue”
Population maps
Visualize density and distribution patterns.- “Show user distribution by city”
- “Map population density across counties”
Data requirements
Geographic maps work best when your data includes:- Location identifiers — country names, state/province names, city names, zip codes, or latitude/longitude coordinates
- Values — a numeric column to determine color intensity (choropleth) or bubble size
Examples
Revenue by state:“Create a choropleth map of the US showing total revenue by state”The AI reads your state and revenue columns, generates the map, and applies a color gradient from low to high revenue. Global customer distribution:
“Map our customers worldwide, colored by region, with bubble size showing annual spend”The AI geocodes customer locations, groups by region, and creates an interactive bubble map.