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Filters allow to highlight outliers, patterns, and trends in the data. Filters must be populated with data columns in order for them to function.

Text, time, and numeric filtering can be applied to visualizations in a dashboard.

Filtering across a time window is another type of filter wherein, only the specified window of time is displayed in a time-series visualization. Time window filters are local to a dashboard, and only one filter can be present per dashboard.

Additionally, visualizations can be configured through their settings to ignore defined filters.


One or more visualizations must be available on the dashboard, before adding filters on the dashboard.