Free Radar & Spider Chart Maker

A radar chart — also called a spider chart, web chart, or star chart — displays multiple quantitative variables on axes that radiate out from a common center point. Each axis represents a different variable, and a single data entity is drawn as a polygon connecting its value on each axis. The shape of the polygon shows the profile of that entity at a glance.

Radar charts originated in the early 1900s as a way to visualize multivariate data in quality management. They became popular in the late 20th century for competitive benchmarking, employee performance reviews, and video game character stat displays. Today they show up anywhere people need to compare two or more things across several dimensions simultaneously.

The power of a radar chart is shape recognition. A team that's strong across every dimension produces a large, balanced polygon. A team with one weakness produces a polygon with a visible dent. A team with one outlier strength produces a polygon with a spike. The human eye picks up these shape differences faster than reading a table of numbers.

Radar chart, spider chart, and web chart describe the same visualization. The different names come from visual metaphors. "Radar" evokes a radar screen with concentric range rings and axes pointing outward. "Spider" comes from the polygon resembling a spider sitting on its web. "Web chart" emphasizes the cobweb-like look of the axes and polygon together. Engineering and statistical writing tends to say "radar chart"; gaming and sports contexts often say "spider chart"; informal and educational writing sometimes says "web chart" or "star chart".

The visualization is identical regardless of name. Axes radiate from a center point, one per variable. Values are plotted at the appropriate distance along each axis. The plotted points are connected into a polygon. The shape of the polygon — triangular, star-like, balanced blob — becomes the visual signature of the entity being measured.

Our tool produces all of them from the same widget. Drop it in, name the axes, enter values, style the polygon. Whatever your audience calls it — radar, spider, web, star — the output looks the same.

Use a radar chart when you need to compare a few things across many dimensions. Skill assessments (rating an employee on 6-8 competencies), product comparisons (rating two phones on price, camera, battery, performance, and build quality), athletic profiles (comparing players across speed, power, agility, endurance), SWOT-style analyses — these are all natural fits.

Don't use a radar chart for ranking or for simple two-variable comparisons. If you just want to show that X is bigger than Y, a bar chart is clearer. And don't use a radar chart with more than 8 axes — beyond that, the polygon becomes so crowded that the shape loses meaning. Our how to make radar chart guide covers when a radar chart works and when it doesn't.

Our radar chart maker runs in the browser for free. No signup, no paywall, no watermark. Define your categories, enter your values, pick a color, export as PNG. Total time for a basic radar chart: under two minutes.

Use the same scale on every axis. If you're rating things from 0 to 100, every axis should go 0 to 100. Mixing scales (one axis is 0-10, another is 0-100) destroys the visual comparison because the polygon shape becomes arbitrary instead of meaningful.

Order the axes thoughtfully. Put related dimensions next to each other so the polygon shape carries meaning. For example, if you're rating a phone, put "Screen Size" next to "Resolution" and "Battery Life" next to "Charging Speed" — related dimensions clustered together produce readable shapes.

Limit the number of axes to between 5 and 8. Three axes produces a triangle that doesn't really benefit from the radar format — use a grouped bar chart instead. More than 8 axes produces a polygon that's hard to read because the axes are too close together.

Most radar chart tools are either embedded inside larger suites (Tableau, Power BI, Excel) or buried in research-grade tools (R, Python matplotlib). The suites require licenses and have complex interfaces; the research tools require writing code. Neither is ideal if you just want to produce a clean radar chart image for a deck or blog post.

GraphMake's radar chart widget is designed for exactly that use case. Open the editor, add the radar widget, type in your axis labels and values, pick a color, export. The output is a clean, modern-looking PNG ready to drop into any document.

You can also combine the radar chart with other widgets on the same canvas. Put stat cards showing the overall score next to the radar chart. Add a text block explaining the axes. Include a second radar chart for comparison. Our editor supports 60+ widget types so the radar chart is one ingredient, not the whole meal.

Always label every axis clearly. Radar charts are read by scanning the axis labels and matching them to polygon vertices. If a label is missing or unclear, the chart stops working. Keep labels short (one or two words) so they fit around the edge without rotating awkwardly.

Use transparent fill for the polygon. If you fill the polygon solid, it hides the grid lines and the other polygon when you're comparing two datasets. A semi-transparent fill (around 30-40% opacity) lets the viewer see both the shape and the grid behind it.

Don't compare more than three datasets on one radar chart. Two datasets work great — you can clearly see which dimensions favor A and which favor B. Three is the upper limit. With four or more overlapping polygons, the chart becomes unreadable. If you need to compare many entities, use a grouped bar chart at bar chart maker instead.

Start the axes at zero if the minimum meaningful value is zero. Truncating the axes (e.g., showing only 40-100 instead of 0-100) can make small differences look dramatic. Our data visualization best practices post covers this truncation trap in detail.

A radar chart is best for comparing a small number of entities across many dimensions, where shape recognition matters. A grouped bar chart is better when you have many entities (5+) because the bars don't overlap and each entity stays readable.

A parallel coordinates plot is a more serious alternative for multivariate analysis. Each dimension becomes a vertical axis, and each entity is a line connecting its values across all axes. Parallel coordinates scale to more dimensions and more entities than radar charts, but they're harder for non-technical audiences to read. For business presentations, radar charts usually win on readability.

If you only have two or three dimensions, skip the radar chart entirely — a scatter plot at scatter plot maker or a grouped bar chart is clearer. The radar chart's strength is showing patterns across many dimensions at once; with few dimensions it's overkill.

When your radar chart is finished, click Export in the toolbar. PNG is the default and works for nearly every use case. For presentations or print materials where the chart will be displayed larger than the original canvas, use SVG so the lines stay sharp at any zoom.

The export is free with no watermark. If you plan to reuse the same radar format for multiple entities (comparing different job candidates, different products, different teams over time), export as JSON and re-import it — you only need to build the chart once.

For embedding in a web page, SVG is the best format — it scales perfectly and loads quickly. For a static slide deck, PNG is simpler. Either format is ready to publish.