The side panel contains element specific options, as well as other generic options like coloring and effects. Please keep in mind that you don’t need to double click another element to edit it once the side panel is open, the side menu will switch to the element. Double-Clickingĭouble-clicking on any item in the chart area pops up the side panel where you can find options for the selected element. You can customize pretty much every chart element and there are a few ways you can do this. Now, let’s take a look at customization options. Click the Treemap chart of your choice to add it chart.Ĭlicking the icon inserts the default version of the chart. At the time of writing this article, there are 2 options: Treemap and Sunburst. Go to the INSERT tab in the Ribbon and click on the Treemap Chart icon to see the available chart types. If you include data labels in your selection, Excel will automatically assign them to each column and generate the chart. Each color represents one of the highest level categories (branches).īegin by selecting your data in Excel.
Legend: The legend is the map that helps distinguish the data series.Giving your chart a descriptive name will help your users easily understand the visualization. Each rectangle is colored by the highest-level categories, and the sub-category (sub-branch) rectangles for each item is drawn proportional to the size of numerical value they each contribute to the aggregate dataset. Plot Area: This is where the visual representation takes place.Treemap Chart Basics SectionsĪ treemap chart mainly consists of 3 sections:
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You can download the workbook we're going to be using in this tutorial here. Treemap charts are great for highlighting the contribution of each item to the whole, within the hierarchy. The color and size of rectangles are typically correlated with the tree structure, which in return makes it easier to see the groups and sizes. On a treemap, each item is represented by a rectangular shape, where smaller rectangles represent the sub-groups. A treemap chart is a type of data visualization that is especially useful for displaying hierarchical data.
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