Describe › Standalone plots

Radar chart

A radar (spider) chart turns several numeric columns into the spokes of a circle and draws each row as a polygon through its value on every spoke.

What is Radar chart?

A radar chart places k variables at equally-spaced angles around a circle and connects a single observation's values into a closed polygon, giving an at-a-glance multivariate profile. Each spoke is scaled from zero at the centre to a maximum at the rim — either the individual column's maximum (so shapes stay comparable when the variables use different units) or a single shared maximum across all spokes (so absolute magnitude is preserved).

Radar charts are best for a small number of entities compared over a handful of metrics; with many overlapping polygons or many axes they become hard to read, and area is not a faithful cue because it depends on the (arbitrary) ordering of the axes.

When should I use Radar chart?

Comparing a few entities (products, patients, teams) across several metrics on one figure.
Showing a single unit's strengths and weaknesses as a shape profile.
Quick multivariate quality-control or scorecard displays.

What data does it need?

Three or more numeric columns (the axes) plus an optional label column naming each row. A checkbox chooses per-axis vs shared scaling.

What does it report?

An ECharts radar with one polygon per row, palette-coloured with a legend; rows beyond the first twelve are dropped with a note.

What does it assume?

The chosen columns are on interpretable, non-negative scales (values are drawn outward from zero).
The number of rows is small enough to overlay legibly.

How do I interpret the result?

A larger polygon means higher values; a spiky polygon means the entity is uneven across metrics. Compare shapes between rows, but do not over-read the enclosed area — it changes with axis order.