Filters in Power BI refer to a feature that allows you to selectively limit or manipulate data displayed in visualizations and reports. Filters help you focus on specific subsets of data to gain insights and perform targeted analysis.

In Power BI, you can apply filters at different levels:

1. Visual-level filters: These filters are applied to a specific visual or visualization in your report. For example, you can filter data in a chart to show only sales from a particular region or products belonging to a specific category. Visual-level filters allow you to drill down into specific data points or highlight specific aspects of your data within a particular visual.

2. Page-level filters: Page-level filters affect all the visuals on a particular page of your report. When you apply a page-level filter, it impacts the entire page, helping you create a cohesive view by restricting the displayed data to a specific subset. This is useful when you want to create a focused analysis or present a particular slice of your data.

3. Report-level filters: Report-level filters impact the entire report, including all the pages and visuals within it. These filters allow you to establish a consistent filter context throughout your report. For instance, you can apply a filter to show data for a specific time period or limit data to a particular category across all visuals in the report.

Power BI provides various types of filters that you can utilize:

- Basic filters: Basic filters allow you to choose specific values or ranges of values to include or exclude in your analysis. You can select individual items from a list or define criteria using operators such as equals, greater than, less than, or between.

- Advanced filters: Advanced filters provide more complex filtering options. You can create custom filter conditions based on multiple columns or expressions. Advanced filters allow for more granular control over the data displayed in your visuals.

- Top N filters: Top N filters enable you to focus on the top or bottom values within a specific measure. You can specify the number of items to include, such as the top 10 products by sales or the bottom 5 regions by profit.

- Relative filters: Relative filters allow you to set dynamic filters based on relative time periods. For example, you can filter data for the last 30 days or the current year-to-date.

• Slicers: Slicers are interactive visual elements that act as filters and enable users to make selections to dynamically filter the data displayed in the report. Slicers provide an intuitive way to explore data by allowing users to click or select items to include or exclude.

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By applying filters in Power BI, you can analyze and visualize your data from different perspectives, focus on specific subsets of information, and dynamically interact with your reports to gain valuable insights. Filters empower you to customize your analysis and tailor your reports to specific audiences or scenarios.