What is a decomposed tree visual in Power BI?

The decomposed tree visual in Power BI is specifically designed to illustrate the breakdown of a measure into its components, allowing users to understand the contributions of different elements to the overall value. This visual is particularly useful for analyzing hierarchical data, as it enables users to drill down into the various layers of data and see how different categories or segments contribute to the total.

By utilizing this visual, analysts can effectively explore the dimensions of a chosen metric, such as sales or profit, by segmenting the data into different categories or sub-categories. This depth of analysis not only enhances insights but also assists decision-makers in identifying key areas for growth or improvement.

While the other options present descriptions of various types of visuals commonly used in data analysis, they do not capture the specific function and purpose of the decomposed tree visual. For instance, visuals that show trends over time focus primarily on temporal data analysis, while those used for comparing data series emphasize relational insights rather than breaking down a measure's composition. Meanwhile, visuals that aggregate data from multiple datasets focus on consolidation rather than decomposition, distinguishing them from the targeted purpose of the decomposed tree visual.