Treemap Chart Maker

Transform your hierarchical data into beautiful and professional Treemaps with our free Treemap Chart Maker.

Drag & Drop files here or

Supported formats: Excel, CSV

Use / to create hierarchy — e.g. Electronics/Phones. You can also paste data directly from Excel or Google Sheets anywhere in the table.

Customization

Chart Title:
Layout:
Label Font Size
13
Padding Between Rectangles
3
Max Hierarchy Depth
Treemap Chart Maker
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Made with DataViz Kit

Check out what you can build with our free chart tool.

Simple Treemap Example Simple Treemap
Sales by Category Treemap Example Sales by Category
File System Hierarchy Treemap Example File System Hierarchy
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What is a Treemap Chart?

A treemap chart is a highly efficient data visualization method used to display hierarchical, tree-structured data. It uses nested rectangles to represent different categories, where the size and color of each rectangle correlate directly to its numerical value.

Whether you are looking for a reliable treemap tool to map out server storage or a clean online treemap generator for business reports, this platform is built for speed. As a privacy-first web application, you can process your data securely in your browser without needing heavy desktop software.

When to Use Treemap Charts

  • Visualizing hierarchical part-to-whole relationships
  • Comparing proportions across multiple categories and subcategories simultaneously
  • Displaying patterns in large datasets where space is limited
  • Showing file system structures, financial portfolios, and organizational hierarchies
  • Communicating market share breakdowns across nested categories

When to Avoid Treemaps

  • Precise comparisons between non-adjacent rectangles are needed
  • More than 3 hierarchy levels (becomes difficult to interpret)
  • Dataset contains many small values that become barely visible
  • Your audience is unfamiliar with treemap interpretation
  • Data contains negative values (sizes cannot be negative)

Portfolios and Hierarchical Data

One of the most powerful use cases for this visualization is financial tracking. Analysts frequently rely on a portfolio treemap visualization to see asset allocation at a glance. By grouping investments by sector and sizing them by market value, you can instantly spot which assets dominate a portfolio.

To get the most out of your tree map chart, it is crucial to structure your parent and child categories logically. Our tool dynamically calculates the proportions of these nested rectangles, ensuring your data hierarchy is both mathematically accurate and visually compelling.

Key Features of Our Treemap Chart Maker

True Hierarchical Support

  • Automatic parsing of hierarchical data using / separators
  • Color inheritance — child nodes share their parent's color automatically
  • Smart value normalization for accurate size representation

New Customization Controls

  • 4 layout algorithms: Squarify, Binary, Dice, Slice
  • Per-category color pickers with 7 preset palettes
  • Label font size slider (8–20px)
  • Rectangle padding slider (0–12px) to control spacing between cells
  • Max Hierarchy Depth selector — show all levels, or limit to 1, 2, or 3 for cleaner presentation
  • Show/hide labels and values independently
  • Chart title rendered on export

Professional Export

  • High-resolution PNG (1200×800px at 2× scale)
  • Scalable SVG for presentations and publications
  • No watermarks or branding

How to Structure Your Data

The most important thing to understand about this tool is the / separator. Each row has two columns: Category and Value. The Category column uses forward slashes to define hierarchy depth:

  • Electronics — top-level parent node
  • Electronics/Computers — child of Electronics
  • Electronics/Computers/Laptops — grandchild, three levels deep

Parent nodes should also have their own row with a value — this controls the parent rectangle's size when viewed at the top level. If a parent's value is less than the sum of its children, Plotly will auto-calculate it.

How to Make a Tree Map Online

Wondering how to build this complex visualization quickly? You don't need coding skills or expensive subscriptions. Follow these simple steps using our free treemap creator:

1

Input Your Hierarchy

  • Use / separators for hierarchy depth
  • Add parent rows with their own values
  • Paste directly from Excel or Google Sheets
2

Customize Visualization

  • Choose a color preset or pick per-category colors
  • Select a layout algorithm
  • Adjust depth, padding, and font size
3

Refine & Explore

  • Hover for exact values and percentages
  • Limit depth to focus on top-level categories
  • Click nodes to drill in (Plotly interactive mode)
4

Export & Use

  • Download high-resolution PNG for reports
  • Export SVG for print and presentations

Why Our Treemap Creator Stands Out

  • True hierarchical support: Native multi-level data without flattening
  • More controls: Depth limit, padding, font size — not available in most free tools
  • Privacy first: Your data never leaves your browser
  • No limitations: Unlimited data points and exports without watermarks

Our Other Data Visualization Tools

Scatter Plot Maker Identify correlations Radar Chart Maker Compare multiple variables Heatmap Generator Show data density

Ready to Create Professional Treemap Charts?

Whether you need to make a treemap chart online for business intelligence, academic research, or data journalism, our treemap chart generator provides enterprise-level capabilities with zero learning curve.

Explore more visualization options in our data visualization toolkit.

Frequently Asked Questions about Treemap Charts

A treemap is used to display hierarchical data as nested rectangles where size represents value. It is ideal for visualizing part-to-whole relationships across multiple levels simultaneously — for example, showing how a company's revenue breaks down by division, department, and product line in a single view.

Use a forward slash / in the Category column to separate hierarchy levels. For example: Electronics is a top-level parent, Electronics/Phones is a child of Electronics, and Electronics/Phones/Android is a grandchild. Each level can have its own row and value — parent rows control the parent rectangle's size.

The Max Depth selector controls how many levels of your hierarchy are visible at once. Setting it to 1 shows only top-level categories as large blocks. Setting it to 2 shows one level of sub-categories inside each parent. "Show All Levels" renders every depth in your data. This is useful for simplifying a deep hierarchy for a presentation or executive summary.

Squarify creates rectangles as close to squares as possible — best for general use and readability. Binary alternates between horizontal and vertical splits for a balanced layout. Slice cuts only horizontally, and Dice cuts only vertically. Use Squarify by default; switch to Slice/Dice when you want a more structured row or column layout.

Yes. Drag and drop any .CSV or .XLSX file onto the upload zone. You can also copy a two-column range from Excel or Google Sheets and paste it using Ctrl+V anywhere in the data table. The first column should be the category path (using / for hierarchy) and the second column should be the numeric value.

Yes, DataViz Kit is 100% free. You can create unlimited treemaps, use all customization features, and download PNG and SVG files without creating an account or paying any fees.

No installation is needed. DataViz Kit is a 100% free treemap generator that runs entirely in your web browser. You can build, customize, and export your visuals securely without downloading any third-party programs.

Yes. All processing happens locally in your web browser using JavaScript. Your data is never uploaded to or stored on our servers, ensuring complete privacy for sensitive business or research data.