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A data analyst is building an executive dashboard in Looker that contains multiple visualization tiles displaying sales performance. Business stakeholders require the ability to interactively adjust the date timeframe (such as switching between "Today", "Last 7 Days", and "Last 30 Days") so that all relevant tiles update simultaneously from a single control.
Which feature should the analyst configure on the dashboard to meet this requirement?
Add a custom table calculation to each individual tile using Looker expressions to evaluate runtime date parameters.
Configure an action button widget that redirects users to distinct pre-filtered dashboards for each required timeframe.
Enter edit mode on the dashboard, add an interactive dashboard filter on the date field, and select the corresponding tiles under Tiles To Update.
Add a Markdown widget with custom HTML and SQL scripts to reload the dashboard tiles upon selection.
Add a custom table calculation to each individual tile using Looker expressions to evaluate runtime date parameters.
Configure an action button widget that redirects users to distinct pre-filtered dashboards for each required timeframe.
Enter edit mode on the dashboard, add an interactive dashboard filter on the date field, and select the corresponding tiles under Tiles To Update.
Interactive dashboard filters in Looker are dashboard-level controls that allow viewers to dynamically change the subset of data displayed across one or more dashboard tiles without needing to edit underlying Looks or queries.
Configuring an interactive dashboard filter is the standard, native Looker method for providing dynamic filtering across tiles. It avoids data duplication, maintains high performance, and gives stakeholders self-service analytical flexibility.
Add a Markdown widget with custom HTML and SQL scripts to reload the dashboard tiles upon selection.
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