Radar / Spider Chart Maker
Enter one value per axis, separated by commas.
Choose a ready-to-use template. Each one loads pre-filled axes and sample data so you can see a real chart in seconds, then swap in your own numbers.
Adjust the appearance of the chart. Changes apply when you next click Generate Chart in the Builder tab.
Dataset colors are set per-dataset in the Builder tab. Color palette updates affect grid and label colors.
Radar Chart Examples
Click any example to load it into the chart builder above
What Is a Radar Chart?
A radar chart is a two-dimensional chart that displays three or more variables on axes radiating from the same center point. The data values for each variable are plotted along their own axis, and the points are connected to form a closed polygon. The overall shape and area of that polygon tell you immediately how a subject performs across all dimensions at once.
You'll see radar charts under several names: spider chart (because the connecting lines look like a web), web chart, polar chart, or star diagram. All four terms mean the same thing. The choice of name tends to depend on the industry — "radar chart" is common in business analytics and dashboards, while "spider chart" is more common in sports analytics and HR software.
Radar Chart vs Spider Chart — Is There a Difference?
No meaningful difference exists. Both terms describe a chart where multiple variables each get a separate axis drawn from the center, data points are plotted on each axis, and connecting lines form a polygon. Some data visualization tools use one name, some the other. When you see "radar graph," "spider graph," or "web chart" in documentation, they all refer to the same chart type described here.
When to Use a Radar Chart
How Many Axes Should a Radar Chart Have?
The practical range is 3 to 10 axes. Three is the minimum because you need at least three points to form a polygon. With only two axes you get a line, not a shape. Beyond 10 axes the chart becomes difficult to read — the polygons overlap heavily and the labels crowd together. For most business use cases, 5 to 7 axes work well. If you have more variables, consider grouping related ones or using a parallel coordinates chart instead.
Radar Chart vs Bar Chart vs Line Chart
| Feature | Radar Chart | Bar Chart | Line Chart |
|---|---|---|---|
| Best for | Multivariate comparison | Category comparison | Trends over time |
| Axes count | 3–10 (radial) | 1–2 (orthogonal) | 1–2 (orthogonal) |
| Multiple subjects | ✓ Overlapping polygons | ✓ Grouped bars | ✓ Multiple lines |
| Shows balance | ✓ Shape reveals it | ✗ Requires scanning | ✗ Requires scanning |
| Reading difficulty | Medium (unfamiliar) | Low (universal) | Low (universal) |
| Typical audience | Analysts, HR, product | General audience | General audience |
Advantages and Disadvantages of Radar Charts
Advantages
- Shows all variables in one view without scrolling or switching charts
- The polygon shape communicates balance or imbalance faster than a table
- Overlapping polygons make multi-subject comparisons immediate
- Works well for cyclic or non-hierarchical variables
Disadvantages
- Hard to read precise values — pair with a data table
- Axis order affects the polygon shape, which can mislead
- Comparing areas is not always fair if scales differ across axes
- More than 3–4 datasets makes the chart cluttered
Industry Use Cases for Radar Charts
Human Resources
Map competencies in employee reviews. Compare actual vs target performance across 5–8 dimensions.
Marketing
Evaluate campaigns across reach, engagement, conversion, cost, and brand impact dimensions.
Product Management
Compare product versions or competitors on features, quality, price, and support scores.
Education
Show student performance across subjects. Identify strengths and areas needing improvement.
Healthcare
Display quality metrics across departments: wait times, outcomes, patient satisfaction, safety.
Sports Analytics
Profile athletes on speed, strength, endurance, agility, and technique for scouting reports.
UX Research
Score usability test results across efficiency, learnability, errors, satisfaction, and memorability.
Finance
Compare investment portfolios or business units across risk, return, liquidity, and growth metrics.
Radar Chart Terminology Glossary
| Term | Definition | Business Example |
|---|---|---|
| Axis | A single spoke radiating from the center. Each axis represents one variable or dimension. | The "Communication" spoke in an employee performance chart. |
| Variable / Dimension | One measurable attribute plotted on its own axis. | Product quality, delivery speed, customer support score. |
| Dataset | One subject's set of values — one plotted polygon. | Employee A's scores across six competencies. |
| Polygon | The closed shape formed by connecting all data points of a single dataset. | The blue shape representing Q1 sales performance. |
| Grid Level | A concentric ring (circular or polygonal) at a fixed value, helping readers estimate distances from center. | Rings at 20, 40, 60, 80, 100 in a 0–100 scale chart. |
| Scale | The numeric range of a single axis, from its minimum to maximum value. | An axis for customer satisfaction scored 1–10. |
| Benchmark | A target or reference polygon overlaid on actual data for gap analysis. | The "ideal candidate" polygon in a skills matrix. |
| Radar Plot | Synonym for radar chart. Used interchangeably in data visualization literature. | Same chart type, different name in different tools. |
| Spider Chart | Alternative name for a radar chart, named for the web-like appearance of the grid lines. | Common in HR platforms and sports analytics software. |
| Filled Polygon | A polygon where the interior area is shaded, making the overall shape easier to see. | Transparent blue fill showing one team's skill profile. |
| KPI | Key Performance Indicator — a measurable value that shows how effectively a goal is met. | Revenue growth, customer retention, NPS score. |
| Competency Matrix | A grid mapping skills or behaviors against proficiency levels, often visualized as a radar chart. | Technical, leadership, and communication scored 1–5. |
How to Read a Radar Chart
Reading a radar chart comes down to three things: the shape of the polygon, the area it covers, and how it compares to other polygons on the same chart. A large, round polygon close to the outer edge means strong, balanced performance across all variables. A small, irregular polygon close to the center means low scores with noticeable unevenness. A polygon that extends far on some axes but not others reveals specialization or a gap.
When you compare two datasets, look for where one polygon extends beyond the other on each axis. That specific axis is where the leading subject outperforms. The overlap region shows where both are similar. To get precise values, refer to the data table that accompanies the chart rather than trying to estimate from the polygon shape.
How to Make a Radar Chart — Step by Step
Related Topics
Sources & further reading:
- Few, S. (2006). Information Dashboard Design. O'Reilly Media. [Radar chart design principles]
- Wilkinson, L. (2005). The Grammar of Graphics. Springer. [Formal treatment of polar coordinate charts]
- Data Visualization Society — datavisualizationsociety.org
- Tableau — Data Visualization Best Practices
- D3.js Radar Chart Documentation — d3-graph-gallery.com
Frequently Asked Questions
A radar chart is a two-dimensional chart that displays three or more variables on axes radiating from the same center point. Each variable occupies one axis, data values are plotted on each axis, and the points are connected to form a closed polygon. The shape and area of the polygon summarize overall performance and the balance across all measured variables. Radar charts are also called spider charts, web charts, and polar charts — all names for the same chart type.
There is no functional difference. "Radar chart" and "spider chart" are two names for the same visualization. The term "spider chart" comes from the web-like appearance of the connecting lines and grid. "Radar chart" refers to the resemblance to a radar screen display. Both terms appear in mainstream software — Excel calls it a "Radar chart," while many HR and analytics platforms use "spider chart." You will also see "web chart," "star chart," and "cobweb chart" for the same thing.
Use a radar chart when you need to compare multiple variables (3–10) for one or more subjects, and when the overall shape or balance matters as much as individual values. Good candidates include employee performance reviews, product feature comparisons, skill gap assessments, competitor benchmarking, athlete profiling, and KPI dashboards. Avoid radar charts when your audience needs to read exact values precisely — a bar chart or data table communicates precision better.
A radar chart needs at least 3 axes to form a triangle. The practical maximum is around 10 axes before the chart becomes too cluttered to read. The sweet spot for most business charts is 5 to 7 axes. This gives enough coverage to see meaningful patterns without crowding the labels or making the polygons unreadable. If you have more than 10 variables, consider grouping related ones or switching to a parallel coordinates chart.
Yes. This tool is completely free and runs in your browser with no sign-up or installation required. You can add unlimited axes, plot multiple datasets, choose between polygon and circular grids, adjust colors and opacity, add a chart title, and download the finished chart as an SVG file for use in presentations, reports, or publications. For data tables, see our full visual tools library on Statistics Fundamentals.
Advantages: they show all variables in a single view, the polygon shape immediately communicates balance or imbalance, and overlapping polygons make multi-subject comparisons easy to see. Disadvantages: reading precise values is difficult (use a data table alongside), axis ordering affects the polygon shape and can mislead, comparing polygon areas is not fair when scales differ across axes, and charts with more than 3–4 datasets become visually cluttered.
Plot each dataset as a separate polygon on the same chart. Use distinct colors and set polygon fill opacity low (15–30%) so overlapping areas remain visible. Check where one polygon extends beyond another on each specific axis — that axis is where one subject outperforms the other. Add a legend to identify which color represents which subject. This tool supports multiple datasets; use the "Add Dataset" button in the Builder tab.
Human resources (competency and performance reviews), product management (feature comparison), sports analytics (athlete profiling), marketing (campaign performance across channels), education (student subject profiling), healthcare (quality metrics across departments), finance (portfolio or business unit comparison), and UX research (usability scores across heuristics). Radar charts appear in any field that regularly compares multiple attributes of the same subject.