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Hello Comunity,
Sample data:
ProductId | Trip | Value |
1 | 1 | 9 |
2 | 1 | 9 |
3 | 1 | 9 |
4 | 1 | 9 |
5 | 2 | 9 |
1 | 2 | 9 |
5 | 2 | 9 |
6 | 2 | 9 |
7 | 3 | 9 |
2 | 3 | 9 |
3 | 3 | 9 |
On a report page there is a slicer with "ProductId", if the user chooses ProductId 2 then I need to identify Trips that has this ProductId and sum the entire Trip value.
For ProductId 2 this would mean Trip number 1 and 3 meaning the sum total would be 63 (Trip 1 total + Trip 2 total).
Can this be done with DAX?
@BIanon I have something similar resolved here How to override slicer selection to return all records | PeryTUS - Power BI How To - YouTube
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@BIanon ,
Yes DAX can handle this. I would handle like this. Create 2 Calculated Columns:
Trip_Sum = CALCULATE( SUM(Products1[Value] ),
ALLEXCEPT( Products1, Products1[Trip] ))
ProductID_Sum = CALCULATE( SUM(Products1[Trip_Sum]),
ALLEXCEPT( Products1, Products1[ProductId] ))
ProductId | Trip | Value | Trip_Sum | ProductID_Sum |
1 | 1 | 9 | 36 | 72 |
2 | 1 | 9 | 36 | 63 |
3 | 1 | 9 | 36 | 63 |
4 | 1 | 9 | 36 | 36 |
5 | 2 | 9 | 36 | 72 |
1 | 2 | 9 | 36 | 72 |
5 | 2 | 9 | 36 | 72 |
6 | 2 | 9 | 36 | 36 |
7 | 3 | 9 | 27 | 27 |
2 | 3 | 9 | 27 | 63 |
3 | 3 | 9 | 27 | 63 |
With more time, you can probably do this in one step, but this gives more visibility to your calculations.
Hope this helps.
Regards,
Thank you for the reply.
Would I be able to solve this with a measure instead of a calculated col ?
@BIanon ,
Yes, I'm sure this can be done with a Measure. However, variables and variable tables are not my strong suit. Going to tag a couple of folks who I think may be able to solve this with a Measure.
@parry2k , @Jihwan_Kim - hope you might lend an assist here.
Thanks and Regards,
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