When should I use a treemap instead of a pie chart?

Use a treemap when you have more than 5-6 categories, when your data is hierarchical (categories within categories), or when you need to display many items in a compact space. Pie charts work for simple 2-5 category proportions. Treemaps handle dozens of items naturally and can show hierarchy through nesting, which pie charts cannot.

How do I read a treemap?

The area of each rectangle is proportional to its value — larger rectangles represent larger values. Rectangles nested inside others show hierarchy (e.g., products within categories). Color typically represents a second variable like growth rate (green = positive, red = negative) or just categorization. Start by identifying the largest rectangles, then drill into nested details.

What type of data works best in a treemap?

Treemaps work best with hierarchical data where size is meaningful: file system usage (folders containing files), financial portfolios (asset classes containing individual stocks), organizational budgets (departments containing projects), market share (industries containing companies). The data should have positive values that sum to a meaningful total.

A treemap displays hierarchical data as a set of nested rectangles, where each rectangle's area is proportional to its data value. Developed by Ben Shneiderman in the early 1990s, treemaps solve a fundamental challenge: how to visualize a hierarchy where size matters at every level. The entire chart area represents the total, and it is subdivided into rectangles for each category, which can themselves be subdivided for subcategories. Color often encodes a second variable, such as growth rate or category type. Treemaps are remarkably space-efficient — they can display hundreds of data points in a single view that would require enormous bar charts or tables. They are widely used in finance (portfolio composition), disk space analysis (file system usage), and business intelligence (revenue breakdown by product and region).

Treemaps shine when you need to visualize size and hierarchy simultaneously. A portfolio manager glancing at a treemap instantly sees which asset class dominates, which stocks are largest within each class, and (via color) which are performing well or poorly. IT administrators use treemaps to find which folders consume the most disk space. Business analysts break down revenue by division, product, and region in a single visualization. Treemaps are particularly valuable when you have many categories — where a pie chart would become unreadable with 20+ slices, a treemap handles dozens or even hundreds of items naturally. They make "largest" and "smallest" immediately obvious through area comparison.

What are best practices for creating a treemap?

Expert tips for creating effective treemaps: Use a clear color scheme to distinguish top-level categories, then shade variations for subcategories. Label only the largest rectangles to avoid text overflow in small cells. Add interactive tooltips for details on smaller rectangles that cannot fit labels. Following these guidelines will help your chart communicate data clearly and professionally.

Is this treemap maker free?

Yes! Our treemap maker is completely free to use. Create unlimited treemaps, customize them however you like, and export them without any cost or watermarks.

Can I use this treemap for commercial purposes?

Absolutely. Treemaps created with MakeMyGraph are yours to use however you want, including for commercial projects, publications, client work, and marketing materials. No attribution required.

Can I edit my treemap after creating it?

Yes! You can modify your data, colors, labels, and styling at any time before exporting. Your work is saved in your browser, so you can come back and make changes as needed.

Can I customize the treemap with my own brand colors?

Definitely. You have full control over colors, fonts, and styling. Match your brand identity perfectly or choose from our preset color palettes for a polished look.

Do I need to download any software?

No downloads needed. Our treemap maker runs entirely in your browser. Just visit the page and start creating immediately. No installation, no account required.

What formats can I export my treemap in?

You can export your chart as PNG (great for presentations), SVG (perfect for web and scalable graphics), or PDF (ideal for printing and documents).

Is there a watermark on the exported chart?

No watermarks at all. Every chart you create is completely clean and professional, ready to use anywhere without any MakeMyGraph branding unless you want to add it.

Free Treemap Generator

Need a treemap? Use our free treemap generator to visualize hierarchical data and proportions with nested rectangles. Perfect for showing file sizes, market cap distributions, and category breakdowns at a glance.

Hierarchical visualization

Size-based rectangles

Color-coded categories

Space-efficient design

Quick proportion comparison

Professional export options

Generate Treemap View All Templates

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Guide

How to Make a Treemap

With our treemap maker, create any chart as easy as 1, 2, 3.

Add your categories

Enter the items you want to compare by size.

Enter size values

Add the value for each category. Larger values create bigger rectangles.

Download your treemap

Export as PNG, SVG, or PDF for reports and dashboards.

Start Creating Now

Key Elements of a Treemap

Rectangles — sized proportionally to data values

Nesting — subcategories contained within parent rectangles

Color — encodes a secondary variable or categorical grouping

Labels — category names and values within each rectangle

Hierarchy — parent-child relationships shown through containment

Proportional area — the core encoding mechanism

When to Use a Treemap

Visualize disk storage usage

Show market capitalization

Display portfolio allocation

Compare category sizes

Treemap FAQ

Common questions about creating treemaps with MakeMyGraph

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Treemap - Portfolio Allocation

Display hierarchical data as nested rectangles.

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Treemap - Market Share

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Sankey Diagram

Show flow and proportional relationships between stages.

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