What type of data does a tree map represent?

Treemaps represent hierarchical data where the size of each rectangle is proportional to a specific value or measurement associated with each category or subcategory.

Some data types:

  • Hierarchical data: The most common type of data visualized with treemaps.

The data is organized into different levels of categories and subcategories, often resembling a tree-like structure.

  • Part-to-whole relationships: How a whole is divided into various parts, and how those parts are further subdivided into smaller components. The size of each rectangle reflects its contribution to the overall whole.

  • Quantitative data: The size of each rectangle in a treemap is typically determined by a quantitative value, such as sales figures, market share, or population size. It allows you to make comparisons of the relative magnitudes of different categories.

  • Categorical data: Encode categorical data through the use of color or labels. It helps to distinguish between different categories or levels within the hierarchy.

While treemaps can handle multiple levels of hierarchy, they can become visually cluttered and difficult to interpret with too many levels. They are a more versatile alternative to pie charts that offer a better way to visualize hierarchical data and handle a larger number of categories.

You can update the Category Field and Value Field in the Data tab (if applicable).

Update Tree Map's Title, Description and Color Palette in the Style tab.

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