Heatmap maker
Click to upload or drag and drop
Accepts csv, parquet, tsv and json
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Create heatmaps online
Create beautiful heatmaps to visualize patterns and relationships in your data. Perfect for correlation matrices, categorical data analysis, and identifying trends across multiple variables.
Upload your data and create heatmaps instantly
Visualize correlations between variables
Interactive hover effects and value display
Automatic value scaling and coloring
Matrix-style data visualization
Free to use, no account required
How to create a heatmap
- Upload data
Upload your data file in CSV or Excel format - Select variables
Choose the variables for your matrix visualization - Generate heatmap
Your data will be automatically scaled and colored - Export
Download your heatmap as a high-quality image
Heatmap examples
Correlation matrix
Visualize correlations between multiple variables in a matrix format.
Key features:
- Symmetric correlation matrix visualization
- Color scale from -1 to 1
- Value labels in cells
- Interactive tooltips
Calendar heatmap
Visualize daily patterns and trends throughout the year.
Key features:
- Daily activity patterns
- GitHub-style visualization
- Interactive date selection
- Custom color ranges
Categorical heatmap
Compare values across different categories with custom color ranges.
Key features:
- Categorical comparison
- Custom color gradient
- Value labels
- Interactive zoom
Graph makers
Bar graph
Compare values across categories. Perfect for showing differences between groups.
Column graph
Similar to bar graphs but with vertical bars. Great for comparing values.
Scatter plot
Show relationships between two variables. Identify correlations and patterns.
X-Y plot
Create X-Y plots to show correlations and trends between variables.
Line graph
Compare trends and patterns over a continuous range. Perfect for showing changes over time or sequences.
Time series graph
Visualize data over time. Perfect for temporal analysis and trend discovery.
Box plot
Visualize data distributions with quartiles and outliers. Perfect for understanding data spread and identifying anomalies.
Histogram
Show frequency distributions of numeric data. Great for understanding data patterns and distributions.
Pie chart
Display parts of a whole as proportions or percentages. Perfect for showing composition and relative sizes.
Donut chart
A variation of pie charts with a hollow center. Great for showing proportional data while leaving space for additional information.
Nightingale chart
A radial visualization that combines aspects of a pie chart and bar chart. Perfect for showing cyclic patterns and comparing proportions.
Radar chart
Compare multiple variables in a circular format. Perfect for multivariate data comparison and pattern analysis.
Heatmap
Visualize data patterns across two categorical dimensions with color intensity representing values.
Sankey diagram
Visualize flow between nodes, perfect for showing transfers or relationships between categories.
Stacked bar chart
Compare parts of a whole across categories or show composition changes over time.