# Decomposition tree ## Chart setup to build a decomposition tree: {% stepper %} {% step %} #### **Axis** Drag the dimensions you want to use to break down and analyze the measures (e.g., Region, Category). {% endstep %} {% step %} #### **Values parameter** Drag multiple measures to analyze (e.g., Units sold, Revenue). {% endstep %} {% step %} #### **Chart type** Select **Decomposition Tree** from the Hierarchy section of the Chart Type dropdown menu. {% endstep %} {% endstepper %} > A Decomposition Tree visual in Power BI allows you to analyze one measure through multiple categorical dimensions, one level at a time. It provides an interactive, hierarchical view where each branch represents a breakdown of the total value, letting users explore “what contributes to what” in a clean, structured way.

## **Customization & formatting under canvas settings** Use canvas settings to control the look and behavior of your chart. It contains two tabs - General and Decomposition Tree. #### 1. Decomposition tree format Under the General settings tab, enable the toggle to customize the color for each parent node category.

#### 2. Show Header Enable this toggle to display the selected dimension category hierarchy and the corresponding highest and lowest values at the top of the visual.

#### 3. Tree **3.1. Density** Density settings - Dense, Default, and Sparse, allow you to control how compact or spaced out the tree layout appears. * **Dense**: Displays branches close together, allowing more information to be fit on a single screen, making it ideal for detailed analysis or larger hierarchies. * **Default**: Offers a balanced layout with moderate spacing, providing a clean and readable visual for most use cases. * **Sparse**: Adds extra spacing between nodes and branches, improving clarity and focus during presentations or executive reporting.

**3.2. Default action** * **Filter/Highlight:** Highlights or filters data related to the selected node, allowing you to focus on specific segments while maintaining an overall view. * **Collapse:** Automatically folds the branch when selected, keeping the visual neat and organized, especially in large or complex hierarchies.

**3.3. Expand level** Set the default level to expand the hierarchy.

**3.4. Responsive level** Enable the responsive toggle for the tree to adjust levels automatically based on space.\ Disable the toggle to display a fixed number of levels. This gives you full control when you need a specific layout.

Levels automatically adjusted according to canvas size

**3.5. No of bars** Depending on the number of categories in your data, you can control how many to display.

**3.6. Line style** Choose between dotted, dashed, and regular connector lines. Set the line thickness.

**3.7. Line type** Choose between Curved line, Spline, Line, and Straight line types for the connector lines.

**3.8. Show arrow** Enable this toggle to display arrows at the end of connector lines.

**3.9. Selected line** Set a custom color to highlight connector lines when a node is selected in reading view.

**3.10. Unselected line** Similar to the Selected line option, this allows you to set a color for the connector lines.

#### 4. Bar **4.1. Type** Display the nodes as progress bars, tiles, or cards.

**4.2. Size** Set the width and height of each node.

**4.3. Scale to** Control how values are scaled and compared across different hierarchy levels with the different options available : * **Top Node**: Scales all values relative to the root node, providing a view of the contribution to the overall total. * **Parent Node**: Displays each child node’s value as a percentage of its direct parent, ideal for analyzing proportional relationships within a hierarchy. * **Level Maximum**: Scales values based on the highest value within each level, helping you easily identify top performers at every stage and compare relative contribution within a single level. * **Custom:** Lets you define your own scaling logic by providing start and end input values as per your data. {% hint style="success" %} This option is available for Card and Progress Bar types. {% endhint %}

**4.4. Radius** Adjust the corner radius of each node. {% hint style="success" %} This option is available for Tile and Progress Bar types. {% endhint %}

**4.5. Background** Set a custom background color for the progress bar. {% hint style="success" %} This option is available for Card and Progress Bar types. {% endhint %}

**4.6. Border** Set a custom border color for cards. {% hint style="success" %} This option is available for the Card type. {% endhint %}

**4.7. Card background color** Set a custom background color for cards. {% hint style="success" %} This option is available for the Card type. {% endhint %}

## Data label settings #### 1. Show child count Enable this toggle to view the number of children under each parent node.

#### 2. Label type Select the Percentage option to display the percentage contribution of each category.

## Additional Formatting Options Here are the other settings that help you refine your decomposition tree.

Feature	Description	Link
Number	Configure number formatting (decimals, units)	charts-number-settings
Legend	Show/hide and customize the legends	charts-legend-settings
Data Label	Show exact values for each data point	3.6.-data-label-customizations
Trellis	Create small multiples using category split	6.-trellis-customizations
Conditional Formatting	Apply color rules to highlight values	9.-conditional-formatting
Sorting	Sort axis order	sorting-data
Ranking	Limit to top/bottom N categories	ranking-for-charts