Describe your data and get a clean, labeled heatmap chart in seconds. Axis labels, color-scale legend, and cell values included. Correlation matrices, calendar activity maps, confusion matrices, and more.
Browse heatmaps made with Figviz, or generate your own above
A 5x5 correlation matrix with cell values and a diverging color scale from -1 to 1.
A full-year calendar heatmap with daily cells shaded by activity count and a color legend.
A general-purpose grid heatmap with categorical axes, cell values displayed, and a color-scale legend.
A geographic-style grid heatmap showing regional intensity values with latitude and longitude axes.
A 4x4 confusion matrix with predicted versus actual labels, cell counts, and a blue sequential color scale.
A 5-region by 12-month sales heatmap with dollar values in each cell and a sequential green scale.
Start with one of these examples, then adapt the subject, labels, data, or layout for your own use.
A 5x5 correlation matrix with cell values and a diverging color scale from -1 to 1.
Create a labeled correlation matrix heatmap for five variables: temperature, humidity, pressure, wind speed, and rainfall. Show pairwise correlation values in each cell, use a blue-to-red diverging scale from -1 to 1, and include a color-scale legend and axis labels. Classic textbook style. White background.
A full-year calendar heatmap with daily cells shaded by activity count and a color legend.
Create a calendar activity heatmap showing daily activity levels across a full year, arranged by week columns and day-of-week rows, months labeled along the top. Use a light-to-dark green sequential scale, include a color-scale legend, and shade each day cell by activity count. Clean minimal style. White background.
A general-purpose grid heatmap with categorical axes, cell values displayed, and a color-scale legend.
Create a labeled grid data heatmap with 6 rows and 7 columns of categorical labels on both axes, numeric values displayed in each cell, and a vertical color-scale legend on the right. Use a sequential yellow-to-purple color scheme. Show clear grid lines and readable axis tick labels. White background.
A geographic-style grid heatmap showing regional intensity values with latitude and longitude axes.
Create a geographic-style intensity grid heatmap with latitude on the y-axis and longitude on the x-axis, divided into a 10x10 cell grid. Color each cell by intensity value using a warm orange-to-red scale, include a color-scale legend, and label the axis ticks with coordinate values. Classic style. White background.
A heatmap generator is a tool that turns grid-based data into a color-coded chart where intensity, frequency, or magnitude is represented by color rather than height or size. Cells with higher values get a warmer or darker color, making patterns, clusters, and outliers immediately visible to the eye. Figviz builds the grid, applies the color scale, adds the legend, and labels both axes from a plain description of your data, so you do not need spreadsheet software or a charting library to get a publication-ready result.
Heatmaps are best when you have two categorical or ordinal axes and a numeric value at each intersection. Correlation matrices use them to reveal which variables move together. Calendar heatmaps show activity streaks and seasonal patterns at a glance. Confusion matrices in machine learning use them to highlight where a classifier makes systematic errors. Sales-by-region-and-month grids use them to surface high and low performers without scrolling through rows of numbers. If your goal is to spot spatial or relational patterns quickly, a heatmap is usually the right chart type.
Use a diverging scale (for example blue to white to red) when your data has a meaningful midpoint such as zero correlation or no change. Use a sequential scale (light to dark of one hue) when all values run in one direction, such as counts or sales figures that are always positive. Avoid rainbow scales for analytical work because they introduce false perceptual boundaries. Always include a labeled color-scale legend so readers can map a shade back to a number. For accessibility, consider colorblind-friendly palettes like blue-to-orange or viridis.
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