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I have create a matrix visualization where it include a heirarchy of multiple dimension like country , technology, etc. Additonally i have fiscal year as slicer .
For column called Type , I have two values; Budget and actual.
For value i have SALES
Now I want to derive the delta at each level of drill down for this matrix visual to work independent of filter and dimensions used in matrix. More like a table calculation but instead of total i want a delta.
I searched the community but cant find where it calculates for the selection in matrix dynamically
Hi @Anonymous ,
If you've fixed the issue on your own please kindly share your solution. If the above posts help, please kindly mark it as a solution to help others find it more quickly. Thanks!
Best Regards,
Yingjie Li
@Anonymous , The information you have provided is not making the problem clear to me. Can you please explain with an example.
Check if this can help
https://www.kasperonbi.com/use-isinscope-to-get-the-right-hierarchy-level-in-dax/
Appreciate your Kudos.
Hi @Anonymous
You can remove the total and create a Measures for
Thanks @Mariusz for the guidance. But I dont want to create seperate measure for actual and budget as as my type can have other values like Prevoius year , prevous month as well. which means i would have create a measure for all of them and then delta for each combination. This would create
I need a calculation called delta that it create a diff in value based on aggregration happening in matrix dynamically which include all filter in matrix for both actual and budget
delta = [sum(KPI) in Column1- sum(KPI) in Column2] with all filters inscope of the pivot table
Hi @Anonymous ,
Based on your description, I think create the simple measure as your mentioned formula can achieve this issue:
My sample data table:
Measure = SUM('Table'[Actual]) - SUM('Table'[Budget])Results in the matrix visual with slicers:
Best Regards,
Yingjie Li
If this post helps then please consider Accept it as the solution to help the other members find it more quickly.
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