Forum Discussion
Count dimentions with missing values (Desktop May2019 for report server)
- 6 years ago
Hi Anonymous ,
How about the result after you follow the suggestions in other's post? if your ploblem does not resolved, You could also try the following formula.Count = DISTINCTCOUNT ( DimDimentionID[DimentionId] ) - CALCULATE ( DISTINCTCOUNT ( DimDimentionID[DimentionId] ), FILTER ( ALL ( 'DimDimentionUser' ), [DimentionId] & "" <> "" ) )Best regards,
Community Support Team _ Dong Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi Anonymous ,
How about the result after you follow the suggestions in other's post? if your ploblem does not resolved, You could also try the following formula.
Count =
DISTINCTCOUNT ( DimDimentionID[DimentionId] )
- CALCULATE (
DISTINCTCOUNT ( DimDimentionID[DimentionId] ),
FILTER ( ALL ( 'DimDimentionUser' ), [DimentionId] & "" <> "" )
)
Best regards,
Community Support Team _ Dong Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
The measure gives the right calculation, so is correct.
Unfortunately, it does not help to find the DimId-s without a user (i.e. does not show the right values on rows), as I need to also get a list of them.
As no DAX solutions was found I went ahead of adding a "Count User" column to the original SQL data via SQL.
- v-lid-msft6 years ago
Community Support
Hi Anonymous ,
The formula is purpose to find total count of the dimentions without user, If you need to get the ID list, we can try the following solution:
Put the DimID Column of DimDimension Table into a table visual, Create a measure and put into the visual Filter.
HasUser = DISTINCTCOUNT('DimDimensionUsers')Then we can set the HasUser greater than zero to archieve your requirement.
Best regards,
Community Support Team _ Dong Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.- Anonymous6 years agoNot applicable
As they are crossfiltered the Users with no Domentions are not shown, i.e. the measures gives 1 on all rows.