A heat map is a data visualization that uses color gradients to represent values within a matrix. It’s ideal for comparing data density or intensity across dimensions such as time, location, or category.
When to Use a Heat Map
- Identify high/low intensity areas (hotspots)
- Visualize frequency or value distribution
- Track performance over two dimensions (e.g., day and hour)
Common Use Cases
- Website click tracking or session heat
- Sales performance by region and product
- Employee attendance by week and department
Best Practices
- Use a clear and intuitive color gradient
- Avoid more than 2–3 dimensions in one chart
- Include a color legend to explain intensity levels
Heat Maps in ClicData
- Create matrix-style heat maps with flexible axes
- Customize color palettes and conditional rules
- Enable filtering to focus on specific timeframes or groups