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Radar Chart Maker

Radar Chart Maker

Create radar charts to compare multiple variables on a spider web diagram, overlay datasets, and export as PNG.

Radar Chart Maker

This radar chart maker plots several variables on axes that radiate from a shared center and connects the points into a shape. Also called a spider, web, or star chart, it is the clearest way to profile one or more subjects across many dimensions at once — skills, product features, or performance metrics. Enter your dimensions, overlay datasets, and export a clean PNG.

When a spider chart fits: reach for it when you want to compare the overall profile of items across the same set of dimensions — where the shape itself tells the story of strengths and weaknesses.

Common Use Cases

Skill Profiles

Map a person, team, or athlete across competencies to reveal strengths and gaps at a glance.

Product Comparison

Compare two or more products across the same feature criteria on one diagram.

Performance Reviews

Score multiple metrics together to build an at-a-glance evaluation shape.

How to Create a Radar Chart

1

Enter Dimensions & Values

Edit the data table with your dimensions (skills, metrics, features) as labels and give each a value. Every dimension becomes one axis of the web. You can also paste rows straight from Excel or Google Sheets.

2

Add Datasets to Compare

Click Dataset to overlay another profile in its own color — for example two players, two products, or before-and-after scores. Up to 10 datasets can share the chart.

3

Style the Shapes

In Chart Options, toggle Fill Area to shade each profile and adjust Fill Opacity so overlapping shapes stay readable. Pick a color palette and place the legend.

4

Export as PNG

Add a chart title and click PNG to download a 2x-resolution image on a white background.

Use a consistent scale. Keep every dimension on the same value range (for example 0-100) so the radial axes stay comparable and the shape is meaningful.

Radar Chart Features & Options

Customization Tools

Fill Area

Shade each profile to emphasize its coverage, or turn fill off for outline-only shapes. Fill is on by default.

Fill Opacity

Keep overlapping profiles semi-transparent so every dataset stays visible.

Multiple Datasets

Overlay up to 10 profiles in distinct palette colors with automatic legends.

Reading the Shape

ShapeInterpretation
Large, balanced polygonStrong and even across all dimensions
Spiky shapeExcels in a few areas, weak in others
Small polygonLow scores across the board
One shape enclosing anotherOne subject outperforms the other on every axis
Limit the axes. Three to eight dimensions read best. Too many axes crowd the labels and turn the shape into noise.

Frequently Asked Questions

What is a radar chart used for?

A radar chart profiles a subject across several dimensions at once — skills, product features, athlete stats, or performance metrics. The polygon shape makes strengths and weaknesses easy to spot, and overlaying datasets turns it into a quick side-by-side comparison.

How many dimensions should a radar chart have?

Three to eight dimensions work best. Fewer than three has no real web shape, and too many crowd the labels and make the polygon hard to interpret.

Can I compare multiple datasets on one chart?

Yes. Add a dataset for each subject — up to 10 — and overlay them in different colors. Comparing the shapes immediately shows who is stronger on which dimension.

Why should every dimension use the same scale?

The radial distance from the center represents the value. If dimensions use different ranges, the shape becomes misleading. Normalize everything to a common scale, such as 0-10 or 0-100.

How do I keep overlapping shapes readable?

Lower the Fill Opacity so the shapes are semi-transparent, or turn off Fill Area to compare outlines only. Distinct palette colors also help separate the datasets.

When should I avoid a radar chart?

Avoid it when you need precise value comparisons — judging exact lengths along radial axes is harder than reading a bar chart. Radar charts are about overall profile and shape, not pinpoint accuracy.

Is my data processed privately?

Yes. The chart is built and exported entirely in your browser. Nothing you enter is uploaded to a server.

Data

Preview

Best for comparing 3-8 dimensions across datasets
Keep every axis on the same scale (e.g. 0-100) so the shape stays meaningful
Lower fill opacity so overlapping datasets stay readable
Use distinct colors for each dataset for easy comparison
Want to learn more? Read documentation →
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