Heatmap Maker

Create professional heatmaps to visualize matrix data and correlations with our free online tool.

Matrix Data

Supported formats: CSV

// CSV Example: Row/Column,Category A,Category B,Category C,Category D Item 1,0.8,0.4,0.6,0.2 Item 2,0.3,0.9,0.5,0.7 Item 3,0.6,0.2,0.8,0.4 Item 4,0.1,0.7,0.3,0.9 Item 5,0.9,0.5,0.1,0.6
Chart Appearance
Color Scheme
Export Options

About Heatmaps

Heatmaps are powerful data visualizations that use color to represent values in a matrix. They are excellent for showing patterns, correlations, and variations in large datasets.

Best Practices: Use a color scale that has good perceptual uniformity. Add a legend to explain the color scale. Consider adding interactivity for large datasets.

When to Use Heatmaps

  • Correlation Analysis: Visualize correlation matrices
  • Gene Expression: Show gene expression levels
  • Website Analytics: Display user activity patterns
  • Financial Data: Visualize stock market performance
  • Geospatial Data: Show density on maps

Heatmap Design Tips

  • Color Choice: Use perceptually uniform color scales
  • Legend: Always include a color legend
  • Labels: Ensure axis labels are readable
  • Value Display: Consider showing values in cells
  • Clustering: Use clustering for pattern discovery
  • Size: Adjust cell size for readability

Common Heatmap Applications

Application Description Example
Correlation Matrix Show relationships between variables Feature correlation in machine learning
Gene Expression Visualize gene activity levels Biological research and genomics
User Behavior Show user activity patterns Website click heatmaps
Financial Analysis Visualize market performance Stock correlation matrices
Geospatial Data Show density on maps Population density maps

Heatmap Examples

Correlation Matrix

Gene Expression

Where Heatmaps are Used

  • Bioinformatics
  • Financial Analysis
  • User Experience Research
  • Geospatial Analysis
  • Machine Learning