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A decomposition tree is a data visualisation approach that is extensively used in Power BI, Microsoft’s business intelligence and data visualisation product. It is a powerful tool for exploring and analysing data in a hierarchical manner, allowing users to drill down into the specifics of data points and comprehend their composition.

Here’s a quick rundown of a Power BI decomposition tree:

  1. Hierarchically Visualization-

A decomposition tree visualises data hierarchically, beginning with a high-level overview and allowing users to dig down into more specific levels. Each level in your data represents a dimension or property.

  • Key Components: A decomposition tree usually has the following key components:

                The root node is the summary or starting point for your analysis.

Branches indicate several dimensions or properties in your data. In sales data, for example, you may have branches for product categories, locations, or time periods.

Values: These are the data points that correspond to each branch. Values are frequently represented as bars or rectangles.

Users may interact with the breakdown tree by extending and collapsing branches, delving down into details, or filtering data depending on their choices.

  • Drill-Down and Drill-Up:

Users may dig down and up into the data by clicking on a branch to see more comprehensive information. They can also dig down to return to higher-level summaries.

  • Aggregations and Details:

The decomposition tree enables users to examine aggregated data at a higher level as well as detailed data at lower levels at the same time. This aids in comprehending how data is created and where modifications or variances occur.

  • Filters and insights:

 The decomposition tree may be used to dynamically filter data. They can, for example, focus on a given category, area, or time period by picking the appropriate branches. This interaction facilitates gaining insights from data.

  • Customization:

Power BI offers several choices for structuring and decorating the decomposition tree to meet the demands of your study and report.

Overall, a Power BI decomposition tree is a useful tool for data exploration and analysis. It assists users in understanding the composition of data across several dimensions and provides an interactive tool for them to discover insights and trends in their data.