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What is a Treemap?

A treemap is a visualization tool that displays hierarchical data as a set of nested rectangles. Each level of the hierarchy is represented by a layer of rectangles, where each rectangle’s size is proportional to a numerical value it represents.


This method allows for a compact, space-efficient representation of data that can highlight patterns, proportions, and trends in a dataset that might not be immediately apparent from raw numbers alone.

The development of treemaps dates back to the early 1990s when they were conceived by Ben Shneiderman, a professor of computer science at the University of Maryland. Shneiderman was investigating effective methods for visualizing the structure of software systems, which typically involves complex hierarchies of files and directories.

The challenge was to create a visualization technique that was not only space-efficient but also provided a clear and immediate understanding of the entire system’s structure, including the relative sizes of files and directories.

Treemaps were Shneiderman’s solution to this challenge.

By using nested rectangles to represent the hierarchical organization of a software system, treemaps allow users to quickly grasp the relative sizes of different components and identify areas of interest or concern within the system.

Nowadays, treemaps are used in applications far beyond software system visualization. They are used in fields like finance for portfolio analysis, marketing for understanding market segmentation, project management for resource allocation, and many others.

This broad applicability is thanks to the treemaps ability to display large amounts of hierarchical data compactly and its capacity to reveal patterns, trends, and anomalies within the data through visual cues such as size and color.

Modern treemaps often feature interactive elements that allow users to drill down into deeper levels of the hierarchy, zoom in on particular areas of interest, and access additional information about specific nodes through tooltips or pop-ups.

These improvements have made treemaps an even better tool for data analysis and presentation.

Techopedia Explains the Treemap Meaning


The simple treemap definition is a tool that visualizes hierarchical data as nested rectangles, each representing a data point within the data set’s structure. The size of each rectangle corresponds to a specific numerical value, making it easy to compare different parts of the hierarchy at a glance.

This method efficiently uses space to display extensive data sets compactly, allowing users to quickly discern patterns, proportions, and trends.

Treemaps use color coding to differentiate between categories or indicate additional data dimensions. They are valuable in their ability to present complex hierarchical information in a straightforward, visually intuitive way, allowing for quick understanding and decision-making across various fields.

How Treemaps Work

The creation of a treemap involves organizing hierarchical data into a visual format where each piece of the hierarchy is represented by a rectangle, which collectively forms a mosaic.

The process and underlying algorithms make sure that this complex data is displayed in a way that’s easy to understand and doesn’t take up much space.

Here’s a step-by-step process of generating a treemap:

  1. Identify the Hierarchy

    The first step is to define the hierarchical structure of the data, determining which elements are parent categories and which are their subcategories.

  2. Calculate Proportions

    Each element’s size is calculated based on a specific numerical value it represents, such as quantity or volume. These sizes determine the area each rectangle will occupy within the treemap.

  3. Layout Rectangles

    Starting with the largest rectangle that represents the entire dataset, the space is partitioned into smaller rectangles for each subcategory, according to their calculated proportions. This partitioning continues recursively down the hierarchy.

  4. Apply Color Coding

    Colors are assigned to rectangles to differentiate between categories or to represent additional data dimensions, aiding in the visual distinction and analysis of the data.

There are several algorithms you can use to generate treemaps. Each has their own approach. Here are a few of the most common:

Features of a Treemap

InteractivityCustomizationResponsiveness and Scalability
  • Zooming: Users can zoom in and out of different levels of the treemap to focus on specific areas of interest, making it easier to navigate through large datasets.
  • Drilling Down: This feature allows users to click on a particular rectangle (representing a node in the hierarchy) to see more detailed data related to that node. It allows for a deeper exploration of the data.
  • Tooltips: Hovering over a rectangle can display tooltips, which provide additional information about that node, such as exact figures or descriptive data. This adds a layer of detail without cluttering the visual representation.
  • Colors: Treemaps use color coding to differentiate between various categories or to represent different values, making the data easier to understand at a glance. Users can customize these colors based on their preferences or adhere to specific color schemes.
  • Sizes and Labels: The size of each rectangle is proportional to its data value, offering a visual cue about its relative importance. Labels can be customized to keep them informative and readable.

Treemap Examples

Treemaps are used in many fields thanks to their data-displaying resourcefulness and accessibility. Here are some real-world examples of treemaps in use.

Financial Market Analysis

One of the most common applications of treemaps is in the analysis of financial markets. Investment platforms and financial news outlets often use treemaps to visualize stock market performance.

Each rectangle represents a company, with its size reflecting the company’s market capitalization and the color indicating its stock performance (e.g., green for positive and red for negative).

This allows investors to quickly grasp market trends, identify which sectors or companies are leading or lagging, and make more informed decisions.

Website Traffic Analysis

Digital marketers and website managers use treemaps to analyze website traffic sources. A treemap can break down the traffic by source (direct, search engines, social media, referrals), with the size of each section representing the proportion of traffic from that source.

Different colors can highlight which sources are most effective or improving over time, helping to optimize marketing strategies.

Comparative Analysis

Consider a comparative analysis of the two examples above:

  • Financial Market Treemap: The visualization might show a large, green rectangle for a tech company that has recently seen significant stock price growth, drawing immediate investor attention to the tech sector.
  • Website Traffic Treemap: A similarly sized rectangle, but in varying shades of blue, might indicate a substantial portion of traffic coming from search engines, suggesting successful SEO strategies.

Treemap Use Cases

We’ve given you some real-world examples of treemaps in use, but let’s take a deeper look at how they can be used. To keep things consistent with our examples, we’ll explore use cases in financial analysis, web analytics, and project management.

Financial Analysis
  • Portfolio Breakdowns: Investors use treemaps to visualize the composition of their investment portfolios. Each rectangle represents a different asset, such as stocks, bonds, or real estate, with its size reflecting the asset‘s proportion in the portfoli This visualization helps investors quickly grasp their diversification and risk exposure.
  • Market Data Representation: Treemaps are also used to represent market data, showing various sectors or stocks and their performance. Size may indicate market capitalization, while color could depict daily or yearly performance, making it easy to identify market trends and outliers.
Web Analytics
  • Traffic Source Analysis: For websites, treemaps can break down the sources of traffic (e.g., organic search, social media, direct visits). This helps marketers understand where visitors are coming from and adjust strategies to target the most lucrative channels.
  • Site Structure Visualization: Treemaps offer a unique way to visualize a website’s structure, displaying how pages or sections are hierarchically organized. This can aid in optimizing site navigation and improving user experience.
Project Management
  • Resource Allocation: Project managers use treemaps to visualize resource allocation across different projects or within a single project. The size of each rectangle can represent the amount of budget or time allocated, providing a quick overview of resource distribution and helping to identify any areas of over or under-allocation.
  • Task Hierarchy: Treemaps can also depict the hierarchy of tasks in a project, showing which tasks are most important or time-consuming. This visual representation helps in prioritizing work and making sure that resources are focused on the most important areas.

Designing Effective Treemaps

Creating effective treemaps involves a balance between clarity and detail. Start by simplifying your data’s hierarchy to avoid overwhelming viewers. Too many levels can obscure the bigger picture.

Use color to differentiate categories clearly, but keep accessibility in mind to accommodate all viewers. Make sure labels are concise and readable, opting for interactive elements like tooltips for additional information.

Select data that naturally fits a hierarchical structure, and be wary of overcrowding your treemap with too much information, which can dilute its impact. Testing your treemap with potential users can provide valuable feedback, helping you adjust for clarity and effectiveness.

By focusing on these key points, you can create treemaps that are both informative and easily understood, making complex data accessible at a glance.

Tools and Software for Creating Treemaps

There are various tools and software packages available that allow you to create treemaps. These cater to different levels of expertise, from beginners to advanced users.

Here’s a rundown of some popular options:


Tableau supports a wide range of chart types, including treemaps. It’s favored for its user-friendly interface and the ability to handle large datasets, making it a go-to for professionals looking to create complex, interactive visualizations.

Microsoft Excel

Though Excel may not be the first app you think of, it does offer treemap chart functionality. It provides a straightforward way to generate basic treemaps, good for users looking for a quick visualization without the need for specialized software.

Power BI

Microsoft’s Power BI is a business analytics tool that includes treemap visualization among its many features. It’s designed for data analysis and sharing insights across an organization, offering cloud-based data sharing and collaboration.

Google Charts

This web-based tool allows the creation of interactive treemaps that can be embedded in web pages. Google Charts is great for users looking to add data visualizations to websites or applications without extensive programming.


A JavaScript library for producing dynamic, interactive data visualizations in web browsers. D3.js offers the most flexibility for creating customized treemaps but requires knowledge of HTML, CSS, and JavaScript.


A business intelligence (BI) tool that includes treemap charts as part of its visualization offerings. QlikView is known for its associative model that allows for data discovery and interactive data visualization, including treemaps.


A JavaScript charting library that offers a wide range of chart types, including treemaps. Highcharts is geared towards developers needing to implement interactive charts in web projects.

R (ggplot2)

For those in the research or academic fields, R’s ggplot2 package offers the capability to create treemaps through coding. It’s a powerful option for creating highly customized visualizations, requiring familiarity with the R programming language.

Treemap Pros and Cons

Treemaps, like anything in life, come with both the good and the bad.


  • Treemaps are highly efficient in using available space, allowing for the visualization of large amounts of data in a compact format.
  • The nested structure of treemaps clearly represents hierarchical relationships, allowing users to see the big picture and details in a single view.
  • By varying the size and color of rectangles, treemaps provide an easy comparison across different categories or levels of hierarchy.
  • Modern treemaps often use interactive elements, that improve user engagement and allow for more detailed exploration of the data.


  • Sometimes treemaps can become overcrowded, making it difficult to distinguish between individual elements, especially those represented by smaller rectangles.
  • The effectiveness of treemaps can be compromised by rectangles with extreme aspect ratios.
  • Reliance on color differentiation can pose challenges for color-blind users and when printing in black and white.
  • There can be an initial learning curve for beginners to understand treemap’s structure, but this may limit their effectiveness as a communication tool with a general audience.

Alternatives to Treemaps

Visualization Tool Description Situational Advantages
Pie Charts Uses a circular chart divided into sectors to represent the numerical proportions of a whole. Best for illustrating simple part-to-whole relationships in datasets with few categories.
Bar Graphs Displays data with rectangular bars representing the magnitude of values. Effective for comparing the quantities of different categories or tracking changes over time.
Line Charts Connects individual data points with a line to show trends over a period. Ideal for visualizing data trends and patterns over time, especially for continuous data.
Scatter Plots Uses Cartesian coordinates to display values for two variables for a set of data. Useful for identifying the correlation between two variables and detecting outliers.
Heat Maps Represents data values using color gradients. Great for visualizing complex data patterns, density of information, or variations across a dataset.
Sankey Diagrams Uses flow diagrams in which the width of the arrows is proportional to the flow rate. Best for showing transfers or transactions, highlighting the major contributors in a process.

The Bottom Line

Treemaps are a strong tool for visualizing hierarchical data, effectively condensing complex information into an intuitive format of nested rectangles.

They excel in displaying large datasets compactly, using size and color to convey data relationships and values at a glance.

Despite their advantages, treemaps have limitations, such as potential overcrowding and the need for careful design to keep clarity.


What is treemap in simple terms?

What is treemap used for?

What is a treemap vs. a HashMap?

What is the treemap theory?

What is a treemap in Java?

Why use a treemap over a pie chart?

What is a treemap in statistics?



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Marshall Gunnell
IT & Cybersecurity Expert
Marshall Gunnell
IT & Cybersecurity Expert

Marshall, a Mississippi native, is a dedicated expert in IT and cybersecurity with over a decade of experience. Along Techopedia, his bylines can be found on Business Insider, PCWorld, VGKAMI, How-To Geek, and Zapier. His articles have reached a massive readership of over 100 million people. Marshall previously served as the Chief Marketing Officer (CMO) and technical staff writer at StorageReview, providing comprehensive news coverage and detailed product reviews on storage arrays, hard drives, SSDs, and more. He also developed sales strategies based on regional and global market research to identify and create new project initiatives.  Currently, Marshall resides in…