Radar Chart Maker

A radar chart (also called a spider or web chart) plots several variables on axes that radiate from a common center, then connects the points into a shape. It is the clearest way to profile one or more subjects across multiple dimensions at once — skills, product features, or performance metrics. Enter your dimensions, overlay datasets, and export a polished PNG.

When to use a radar chart: use 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 or team 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

Enter Dimensions & Values

List your dimensions (skills, metrics, features) as labels and give each a value. Every dimension becomes one axis of the web.

Add Datasets to Compare

Click Dataset to overlay another profile in a different color — for example two players, two products, or before-and-after scores.

Style the Shapes

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

Export as PNG

Add a 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.

Features & Options

Customization Tools

Fill Area

Shade each profile to emphasize its overall coverage, or turn fill off for outline-only shapes.

Fill Opacity

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

Multiple Datasets

Overlay several profiles in distinct colors with automatic legends.

Reading the Shape

Shape	Interpretation
Large, balanced polygon	Strong and even across all dimensions
Spiky shape	Excels in a few areas, weak in others
Small polygon	Low scores across the board
One shape enclosing another	One 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

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?

Yes. Add a dataset for each subject 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.