Heatmap Chart
A heatmap displays data as a grid of colored cells, where the color intensity represents the value in that cell. In PrettyChart, rows come from your Label column, and columns come from your selected Value columns (for example, Q1, Q2, Q3). Heatmaps are great for spotting patterns and hotspots in matrix-like data — you can scan the colors to see where values are higher or lower at a glance.
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How to create a Heatmap chart
- Begin with your data (CSV/Excel or spreadsheet) — or sketch a Heatmap chart using Draw Chart.
- Optional: upload an existing chart image and extract the data, then review and fix any mistakes.
- Use AI recommendations (optional) to pick a chart type and a design direction, then customize manually if needed.
- Map columns: pick a Label column and select two or more Value columns (each becomes a series).
- Pick a template and theme, then fine-tune colors, patterns, and light effects for your Heatmap design.
- Export a crisp PNG when it looks right (or keep iterating).
When to use
- Two categorical dimensions
- Looking for patterns/hotspots
- Large matrix of values
- Time × category analysis (e.g., hour × day)
When to avoid
- Few cells (use table instead)
- Precise values matter (hard to read from color)
- Color-blind accessibility is critical (needs careful palette)
Data requirements
Data format: One label column (rows) + 2+ numeric value columns (each value column becomes a heatmap column)
Common use cases
Heatmap chart comparisons
Heatmap Chart vs Scatter Plot Chart
Use scatter/bubble to explore relationships between numeric variables. Use bars when you are comparing category totals.
Scatter Plot Chart →Heatmap Chart vs Bubble Chart
Use scatter/bubble to explore relationships between numeric variables. Use bars when you are comparing category totals.
Bubble Chart →Styling a Heatmap chart
- For a cleaner Heatmap chart, keep labels short and avoid too many categories.
- Choose a high-contrast theme if you plan to export for presentations or social media.
- Add a subtle pattern or light effect if the chart needs more depth or separation.
- For dense time series, consider switching to a Line chart for a clearer trend story.
FAQ
How do you read a Heatmap chart?
A Heatmap chart is a way to visualize data formatted as: One label column (rows) + 2+ numeric value columns (each value column becomes a heatmap column). It works well for activity patterns by time.
When should I use a Heatmap chart?
Choose a Heatmap chart when two categorical dimensions and looking for patterns/hotspots. For best results, keep labels readable and values numeric.
How do I make a Heatmap chart from a spreadsheet?
Upload a CSV/Excel file, map the columns, and PrettyChart will generate a Heatmap chart you can customize and export as PNG.
Does PrettyChart recommend a chart type and design automatically?
Yes. PrettyChart can suggest both the chart type and a design direction after upload — you can still tweak every detail.
Can I create a Heatmap chart by drawing or from an existing chart image?
Yes. You can draw a chart or upload an image to extract values, then edit the Heatmap chart like any other.
Is signup required to export a Heatmap chart?
No signup is required — you can create, customize, and export your Heatmap chart right away.
Ready to Create Your Heatmap Chart?
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