Use a tree map visualization to identify patterns and exceptions in a large, complex data asset.
Treemaps show relationships among large numbers of components by using size and color coding in a set of nested rectangles.
A treemap that is colored by category identifies the level 1 category by color. The sizes of the rectangles represent the values. In a treemap that is colored by value, the sizes of the rectangles represent one of the values and the color represents a second set of values. Do not use data that includes negative numbers. A treemap ignores negative numbers.
Many data assets have a hierarchical structure. For example, you have data about the profit margin of food items in a grocery store. Under the general category of fruit, there is a category for citrus fruit. Various citrus fruits are listed, such as grapefruit, orange, and lemon. A treemap tells you how each citrus fruit is performing when compared to each other and to other types of food.
For example, this treemap visualization shows course cost by organization.
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