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I have a real simple question - I have a model that focusses on outcomes by ethnicity. I have in the past created measures that filter by ethnicity (only have 3 options, total, Indian descent and non- Indian descent) should I do this in DAX or apply filters to the measures?
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Hi @sperry -
In my opinion, hard-coding should be avoided whenever possible. The beauty of PowerBI is that as long as you don't hard code measures (or visual/page/report filters), it automatically scales if you find yourself with more choices than you originally had. I would use ethnicity as a dimension and put it in "Legend" wherever possible on a visual, or as a column for table/matrix. Then your measures will automatically have the filter applied.
If this doesn't work for you, please provide a pbix or sample data/model structure so we can see your individual case.
Hope this helps
David
@sperry , A Slicer, or visual/page filter is better as it filters out the data. It filters for all measures (unless they ignore slicer value) .
In case of measure, if you two-measure those need filters. Both measures need to have this filter. So better to have a slicer/filter in such a case.
@sperry , A Slicer, or visual/page filter is better as it filters out the data. It filters for all measures (unless they ignore slicer value) .
In case of measure, if you two-measure those need filters. Both measures need to have this filter. So better to have a slicer/filter in such a case.
Hi @sperry -
In my opinion, hard-coding should be avoided whenever possible. The beauty of PowerBI is that as long as you don't hard code measures (or visual/page/report filters), it automatically scales if you find yourself with more choices than you originally had. I would use ethnicity as a dimension and put it in "Legend" wherever possible on a visual, or as a column for table/matrix. Then your measures will automatically have the filter applied.
If this doesn't work for you, please provide a pbix or sample data/model structure so we can see your individual case.
Hope this helps
David
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