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Frequent Visitor

## Calculate with filters

So I have a brain teaser (for me).

I have a target value per month. And a turnover table. The turnover has multiple divisions.

So made another table with divisions and a share.

I.e. D1 = 50% so a value of 0,5. Total of the values is 1 (100%)

What I want is when the user uses the filters to show the turnover for 1 division, that it will multiply the value of the target with the share of the selected division.

So if turnover is 20 million and the target was 18 Million, but the user will filter on only Division 1 (D1). Power BI will then use the sum of the selected division share (which is 0,5 int his case) to show the value of 9 Million.

I somehow cannot find how I can make this work.

The table with the share is a simple one:

 Division Share D1 0,5 D2 0,25 D3 0,25

I currently use this as a calculation:

Selected Target = CALCULATE(SUM(Target[Target])) * CALCULATE(SUM(Divisions[Share]),ALLSELECTED(Turnover[Division]))
1 ACCEPTED SOLUTION
Solution Sage

From your code it looks like the filter is being placed on Turnover[Division] whereas it needs to be placed on 'Divisions'[Division]. If you can, create a one-to-many relationship from 'Divisions'[Division] to 'Turnover'[Division] and use that on the filter / slicer.

If you can't do that, you can try

``Selected Target = CALCULATE(SUM(Target[Target])) * CALCULATE(SUM(Divisions[Share]), TREATAS( VALUES('Turnover'[Division]), 'Divisions'[Division])``
2 REPLIES 2
Solution Sage

From your code it looks like the filter is being placed on Turnover[Division] whereas it needs to be placed on 'Divisions'[Division]. If you can, create a one-to-many relationship from 'Divisions'[Division] to 'Turnover'[Division] and use that on the filter / slicer.

If you can't do that, you can try

``Selected Target = CALCULATE(SUM(Target[Target])) * CALCULATE(SUM(Divisions[Share]), TREATAS( VALUES('Turnover'[Division]), 'Divisions'[Division])``
Frequent Visitor

You're a genius, that worked out perfectly. I am also glad you understood my explanation 🙂

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