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No sure if the title descsribes what I want to do very well, basically I have this data:
Case ID | Date | Writer | Writer points | Checker | Checker Points |
ID 245 | March | James | 100 | Andrew | 20 |
ID 548 | March | Andrew | 150 | James | 30 |
ID 874 | April | Andrew | 160 | James | 32 |
ID 965 | April | Andrew | 50 | James | 10 |
ID 587 | April | James | 80 | Andrew | 16 |
Writer points and checker points are the same points, which I need to visualise the sum of, per month, per person. This is the desired visualisation result:
Andrew | 170 | 226 |
James | 130 | 122 |
March | April |
Any help appreciated!
Solved! Go to Solution.
@andrewkla
I transformed your table in Power Query to a usable layout and just added the points using sum.
Please check the attached PBIX file and check the PQ steps
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@andrewkla
I transformed your table in Power Query to a usable layout and just added the points using sum.
Please check the attached PBIX file and check the PQ steps
⭕ Subscribe and learn Power BI from these videos
⚪ Website ⚪ LinkedIn ⚪ PBI User Group
Thanks, this is indeed a good idea, however - something I should have probably mentioned - my Checker column is a calculated column (lookupvalue from another table where I have Case ID and Checker name). So I can't really pivot that, right?
Is there another way of doing it, or have I gone the wrong direction by creating this calculated column in the first place and should have resolved it by some kind of a measure that adds values from two original tables?
@andrewkla
The right way is to organize your data as I did. If you need a measure, it is possible but not a recommended approach as you may have different names in the writer checker, and the filter by name and other columns are complex.
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