
Filter for on the variables that have theEngineering dimensionDepartment Filter for the that sit withinTitles on any variables that have theEngineering dimensionTitle Filter for withinEmployees (linked via theirEngineering ), on any variables that have theTitle dimensionEmployees Filter the of the above relevant variables for only theaggregates Engineering Department If you want to show others the unfiltered aggregates within a view, you can do this by creating another variable that (e.g. create aaggregates the dimension away with theMonthly Payroll dimension aggregated away).Department
Dimensions that are not effectively linked to the filter dimension will not be filtered. Consider the modified version of the example above: If in your data it is possible to have the same belonging to different departments, you cannot establishTitle ->Title mappings; you could only haveDepartment ->Employee andTitle ->Employee . If you then create a view that filters by department, theDepartment items will be filtered, but your users still could access all the items of theEmployee dimension, e.g. viaTitle . This might not be desirable if the names ofEditable Tables items are sensitive.Title As a workaround, for some data sources it is possible to replace with synthetic column likeTitle , which can directly be mapped toTitle & Department , thus allowing the filter rules to work.Department
This filter out variables thatwill not . If you wish to do that, you could combine the filtersdo not have the dimension on them andVariable has dimension Dimension is one of.

Last updated on Aug 16, 2023