Forum Discussion
Computing rollup weighted sum
- 7 years ago
So based on your new requirement to apply the weightings differently at different levels you might be able to do something like the following which just dynamically changes the factor inside the SUMX based on which columns are filtered
SUMX( table1, IF(ISFILTERED( table1[Project]), 1, -- at the project level multiply by 1
IF( ISFILTERED(Program], [Project Weightage], -- at the program level apply the project weight
[Program Weightage] * [Project Weightage]) -- at the total level apply program and project weighting
* [Progress])
In Pic01 below, when I'm not slicing any Project, the overall progress of 0.82% at the bar chart is correct.
Pic01
But at Pic02 below, when I slice to Project A and Project E, the Overall Progress in bar chart becomes 14.31%. The expected progress should be 0.64% [ Project A (8.14% * 8.80% * 36%) + Project E (6.17% * 9.60% * 64%)].
Pic02
Hmm, I was just about to reply back saying that you might just have to create 3 separate measures, then I remembered that PowerBI added a new ISINSCOPE function in Nov last year.
You'll have to adjust the column names in the code below as I used the sample table you posted earlier to test this code, but I think this might work for both your tables and charts.
Cumm Planned (%) 2 = SUMX( ALL_DATA, IF(ISINSCOPE( ALL_DATA[Project]) , 1, -- at the project level multiply by 1
IF( ISINSCOPE(ALL_DATA[Program]) , [Project Weightage (%)] , -- at the program level apply the project weight
[Program Weightage (%)] * [Project Weightage (%)])) -- at the total level apply program and project weighting
* [Project Progress (%)])