Bubble Chart

Bubble charts extend the traditional scatter plot by adding a third dimension through the size of each data point (bubble). This visualization technique is powerful for displaying relationships between three quantitative variables simultaneously. Often, a fourth dimension is added through color coding. Bubble charts are popular in economics, business intelligence, and scientific research for comparing entities across multiple metrics.

Interactive Visualization

Loading interactive chart...

This is an interactive bubble chart. You can zoom, pan, and hover over elements for details.

Try this prompt

"Create an interactive bubble chart analyzing the relationship between economic development and environmental sustainability across 35+ countries. Plot 'CO2 Emissions per Capita' (tons/year) on x-axis and 'Renewable Energy Share' (%) on y-axis. Size bubbles by 'Population' (use sqrt scaling for visual balance) and color by 'Region' (Europe, Asia, Americas, Africa, Oceania). Generate realistic data: developed nations with higher emissions but varying renewable shares, developing nations with lower emissions. Add hover tooltips showing country name and all metrics. Include quadrant annotations (e.g., 'High Emissions, Low Renewables' in bottom-right). Set bubble opacity to 0.7, add a size legend, and include trend line."

Generate this now

Python Code Example

Loading code...

Common Use Cases

1Comparing countries by GDP, population, and life expectancy
2Visualizing product performance across multiple KPIs
3Showing relationship between variables with magnitude
4Portfolio analysis in finance

Pro Tips

Use sqrt or log scaling for bubble size when values span multiple orders of magnitude

Set opacity to 0.6-0.8 to reveal overlapping bubbles

Add animation frames for time-series data to show evolution

Include a size legend to help interpret bubble magnitudes