Two ways to lay several attributes out around a shared center: a radar chart for comparing items across the same axes, a polar area chart for one series split into categories. Pick the one your comparison actually needs.
A quick look at what's in here. Click through to open any one of them.
Radar chart templates put several numeric attributes on their own spoke around a central point, then connect the values into a closed shape: one polygon per item you're comparing. It's the standard layout for a player's stats in a sports game, a product scorecard across five judging criteria, or a skill profile across ten competencies, because every attribute gets equal visual weight radiating outward from the center. PlotSet has two templates in this family: the classic radar chart, which plots a value as a point on each axis and connects them, and the polar area chart, which turns each category into a wedge instead.
The two aren't interchangeable. A radar chart is built to compare two or more items across the same set of attributes (this player against that one, this quarter against last quarter) using overlapping outlines so you can spot where one item pulls ahead and where it falls behind. The polar area chart is built for a single series split into categories: every wedge keeps the same angle, but its radius grows with the value, so it reads more like a bar chart bent into a circle than a head-to-head comparison tool.
Both formats carry a real weakness worth knowing before you publish either one. A wedge's visible area grows with the square of its radius, so a polar area chart can make a value that's twice as large look four times as big to the eye. Readers judge area, not radius. Radar charts have their own trap: reorder the axes and the polygon's shape changes even though the underlying numbers haven't moved, so two people can make the same dataset look completely different depending on which attribute sits at the top. If you're only comparing one or two attributes, or exact values matter more than overall shape, a plain bar chart will serve your readers better than either template here.
Each one opens its own free maker with sample data already loaded.
Head-to-head stats: a footballer's pace, shooting, passing, dribbling and defending, or two phones across the same five specs. A radar chart plots both shapes on one plot so overlaps and gaps are hard to miss, because pace, shooting and the rest sit on the same axes for every item.
Scoring a shortlist against a fixed rubric (price, support, features, ease of use) and overlaying two or three of them shows which option wins on which axis, not just which one scores highest overall.
One person's or team's spread across ten competencies reads clearly on a radar chart even with a single series plotted, since the shape itself points out the strengths and the gaps at a glance.
A single set of categories that wants a circular layout instead of a pie chart is where a polar area chart earns its place. Just budget for the fact that readers will overestimate the largest wedges.
From a spreadsheet to a published chart, step by step.
Comparing two or more items across the same attributes: radar chart. One series split into categories and you want a circular shape instead of a pie: polar area chart.
Each template linked below opens with sample data already bound in, so you can see the exact column layout (one row per item, one column per attribute) before you upload anything of your own.
Import a CSV or Excel file, paste from a spreadsheet, or connect a Google Sheet if you want the chart to update automatically when the source data changes.
Publish for an interactive embed with hover tooltips on each axis, or export a static PNG, SVG or PDF for a deck or report.
Open the editor and start from any template in this category. Sample data is already loaded.
Open the editorA radar chart plots two or more items across the same set of axes so you can compare shapes directly, good for stats or scorecards. A polar area chart plots one series across categories, with each wedge's radius standing in for its value, closer to a pie chart reshaped into spokes than a like-for-like comparison tool.
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