Looking to see your data at a glance and discover how the different pieces relate to the whole? Then treemaps are for you. These charts use a series of rectangles, nested within other rectangles, to show hierarchical data as a proportion to the whole.

As the name of the chart suggests, think of your data as related like a tree: each branch is given a rectangle which represents how much data it comprises. Each rectangle is then sub-divided into smaller rectangles, or sub-branches, again based on its proportion to the whole. Through each rectangle’s size and color, you can often see patterns across parts of your data, such as whether a particular item is relevant, even across categories. They also make efficient use of space, allowing you to see your entire data set at once.

When to use treemaps:

**Showing hierarchical data as a proportion of a whole.** Examples: storage usage across computer machines, managing the number and priority of technical support cases, comparing fiscal budgets between years.

Also consider:

**Coloring the rectangles by a category** different from how they are hierarchically structured.
**Combining treemaps with bar charts.** In Tableau, place another dimension on Rows so that each bar in a bar chart is also a treemap. This lets you quickly compare items through the bar’s length, while allowing you to see the proportional relationships within each bar.