Pie Chart vs Treemap
A treemap shows parts of a whole as nested rectangles packed into one big rectangle, with each area proportional to its value. It solves the pie chart's two hardest limits: it stays readable with dozens or hundreds of categories, and it can show hierarchy, like categories containing subcategories.
The costs are real too. Treemaps are harder for general audiences to read, comparing rectangle areas of different shapes is inaccurate, and a good treemap needs layout algorithms and interactivity that make sense in dashboards, not in a printed report. For six budget lines, a treemap is a spaceship to the grocery store.
The decision usually makes itself from the shape of your data: flat and few, pie; deep or many, treemap.
Side by side
| Feature | Pie chart | Treemap |
|---|---|---|
| Category capacity | 3 to 6 comfortably | Dozens to hundreds |
| Hierarchy | None, flat categories only | Built in, nested rectangles |
| Reading accuracy | Angles, approximate | Areas of varied shapes, also approximate |
| Audience skill needed | None | Some, less familiar format |
| Small values | Thin slices, need grouping | Tiny rectangles, often unlabeled |
| Best medium | Static: slides, docs, print, social | Interactive dashboards with drill-down |
Pick a pie chart when…
- A flat breakdown with 6 or fewer parts
- General audiences: slides, reports, classrooms, social feeds
- Static output where nothing can be hovered or clicked
- The message is a single share of the whole
Pick a treemap when…
- Many categories, like disk usage across folders or a full product catalog
- Hierarchical data: region containing country containing city
- Interactive dashboards where users drill into levels
- Long-tail distributions where even tiny items must appear somewhere
The verdict
The category count decides. Up to about six flat categories, the pie is simpler, more familiar, and prints anywhere. When categories multiply or nest, the treemap is the only one of the two still standing. There is little middle ground, which makes this the easiest chart choice on this list.
See it with real data
Try it yourself
The example above is loaded into the editor — swap in your own data and see which chart tells your story better. Free, no signup, no watermark.
Total: 100
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Frequently asked questions
Is a treemap more accurate to read than a pie chart?
Not really. Readers estimate rectangle areas of mixed proportions about as roughly as they estimate angles. The treemap wins on capacity and hierarchy, not on precision. For precision, both lose to labeled values or a bar chart.
When does data outgrow a pie chart?
Around 7 or more categories, or the moment categories contain subcategories. Before switching charts, try grouping small slices into "Other", which this tool does in one click. If the grouped pie still hides the story, it is treemap territory.
Can I make a treemap with this tool?
No, this site focuses on pie, doughnut, half, and waffle charts. Treemaps need hierarchical data and different layout machinery. For flat data with few categories, the chart types here cover it.
What is a common real use of a treemap?
Disk space analyzers are the classic: every folder and file as a rectangle, sized by bytes. Stock market maps showing every company sized by market cap and colored by daily change are another.