Geospatial
Interactive

Bubble Map

Bubble maps combine geographic mapping with proportional symbols to display quantitative data across locations. Each bubble is positioned at specific coordinates and sized according to the value it represents. This visualization is excellent for showing regional comparisons, identifying geographic clusters, and communicating location-based metrics like sales by city or population by region.

Example Visualization

Interactive bubble map of the USA showing sales volume by city

Try this prompt

"Create an interactive bubble map of the United States displaying 'Regional Sales Performance' by major metropolitan area. Generate data for 25+ cities including New York, Los Angeles, Chicago, Houston, Phoenix, etc. Size bubbles proportionally to 'Annual Sales Volume' ($500K to $50M range) using sqrt scaling. Color bubbles by 'Year-over-Year Growth' using a diverging colorscale (red for negative, green for positive). Add hover tooltips showing city name, sales figure formatted as currency, and growth percentage. Include a size legend, zoom controls, and cluster markers that expand on zoom. Use CartoDB Positron basemap for clean professional appearance."
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Python Code Example

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Common Use Cases

  • 1Visualizing sales performance by location
  • 2Showing population distribution across cities
  • 3Mapping earthquake magnitudes
  • 4Displaying store locations with revenue

Pro Tips

Use sqrt scaling for bubble sizes to prevent large values from dominating

Add clustered markers (MarkerCluster) when displaying 50+ points

Include both size and color legends for multi-variable encoding

Set min/max radius bounds to ensure all bubbles are visible