Use dashboard filters
When a filter widget is selected on the dashboard , a configuration panel appears on the right. You can use this panel to choose the filter type , decide whether to include a title or description and specify the data to be filtered. You can apply filters to one or more datasets. The following examples show the types of filters you can use and the configuration settings for each filter .
Dashboard filter types
When a filter widget is selected on the dashboard , a configuration panel appears on the right. You can use this panel to choose the filter type , decide whether to include a title or description and specify the data to be filtered. You can apply filters to one or more datasets. The following examples show the types of filters you can use and the configuration settings for each filter .
Use dashboard filters Filters limit the data presented in dashboard visualizations so that users can focus on data that meets specific criteria. This page explains available filter types and how to work with them. Filter interactivity and scope Dashboard authors can configure filters to be interactive, enabling viewers to adjust values dynamically or statically, where the dashboard author ...
Learn about the types of filters that you can apply on AI/BI dashboards .
Static widget-level filters display a view of the dataset set by the dashboard author. These apply only to the widget where they are configured, enabling unique views of the same dataset in different widgets. Unlike global and page-level filters , static widget filters apply only to the visualization widget where they are configured. Their filter values can't be changed by dashboard viewers.
Understanding Filters in Databricks Dashboards
When we build dashboards , Filters play a key role in making visuals interactive and insights more meaningful. In Databricks Dashboards , filters help us control what data we see at different levels.
The mental model: how filters actually work At a mechanical level, Databricks AI/BI dashboard filters are just parameters. A filter is defined with a name and data type
Adding filters to dashboards
Chapter 3: Data analysis with Databricks SQL Create powerful data insights using Databricks SQL! You will learn how to write queries, create visualizations, and power dashboards using in-platform Databricks capabilities. You will practice leveraging SQL code, filters , and parameters to create a robust analytical application for your end users.
Lakeview Dashboards just went GA this month, so this is just the beginning of doing BI on Databricks SQL. To get started developing a dashboard , check out an intro tutorial here.
