Cross-filtering¶

• Cross-filtering is used when we want to apply filters from one visual or data point to affect the values or appearance of other visuals or data points in the report.

• Cross-filtering helps us establish relationships between different visualizations and allows us to analyze and explore data from multiple perspectives simultaneously.

Scenarios to use Power BI cross-filtering:

• Exploring related data: When have multiple visuals in the report that are based on related data, we can use cross-filtering to interactively explore and analyze the data across those visuals. For example, if you have a bar chart showing sales by product category and a line chart showing sales over time, you can use cross-filtering to select a specific product category in the bar chart and see how it impacts the sales trend in the line chart.

• Filtering hierarchies: Cross-filtering is particularly useful when working with hierarchical data. You can use it to filter data at different levels of a hierarchy and see how it affects other visuals. For instance, if you have a tree map displaying sales by country, you can drill down to a specific country, and the other visuals in your report will adjust accordingly to show data related to that country.

• Slicing and dicing data: Cross-filtering enables you to slice and dice your data dynamically. You can choose one or more values in a visual, and those selections will automatically filter the data displayed in other visuals. This interactive filtering capability allows you to analyze different subsets of your data quickly and easily.

• Filtering across pages or report sections: If you have a Power BI report with multiple pages or report sections, you can utilize cross-filtering to maintain the selected filters across those different areas. This ensures consistent filtering and analysis experience as you navigate through the report.