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Hello all!
I was wondering if the following can be achieved in PowerBI:
I currently have a matrix that looks like this.
As you can see, I had to create a different measure for every column.
I want to achieve something like the following:
Prior Week | Prior Week | MTD | MTD | MTD | MTD | MTD | MTD | YTD | YTD | YTD | YTD | YTD | YTD |
Rev | # of Deals | 2023 | # | 2022 | # | 2021 | # | 2023 | # | 2022 | # | 2021 | # |
100,000 | 10 | 100,000 | 10 | 100,000 | 10 | 100,000 | 10 | 100,000 | 10 | 100,000 | 10 | 100,000 | 10 |
200,000 | 20 | 200,000 | 20 | 200,000 | 20 | 200,000 | 20 | 200,000 | 20 | 200,000 | 20 | 200,000 | 20 |
300,000 | 30 | 300,000 | 30 | 300,000 | 30 | 300,000 | 30 | 300,000 | 30 | 300,000 | 30 | 300,000 | 30 |
400,000 | 40 | 400,000 | 40 | 400,000 | 40 | 400,000 | 40 | 400,000 | 40 | 400,000 | 40 | 400,000 | 40 |
The rows would be cities and the columns would be grouped by Prior Week, MTD, and YTD. The second row is the revenue and deal count for every year.
Appreciate your help!
Solved! Go to Solution.
@omarluna17 , You have to try column header grouping in the calculation group or use the dynamic segment
Calculation Groups- Measure Slicer, Measure Header Grouping, Measure to dimension conversion. Complex Table display: https://youtu.be/qMNv67P8Go0
column header grouping
https://www.daxpatterns.com/dynamic-segmentation/
https://community.powerbi.com/t5/Desktop/Matrix-Display-Values-above-Columns/td-p/256905
https://community.powerbi.com/t5/Desktop/grouping-measure-results/td-p/456795
@omarluna17 , You have to try column header grouping in the calculation group or use the dynamic segment
Calculation Groups- Measure Slicer, Measure Header Grouping, Measure to dimension conversion. Complex Table display: https://youtu.be/qMNv67P8Go0
column header grouping
https://www.daxpatterns.com/dynamic-segmentation/
https://community.powerbi.com/t5/Desktop/Matrix-Display-Values-above-Columns/td-p/256905
https://community.powerbi.com/t5/Desktop/grouping-measure-results/td-p/456795
Very informative and helpful video. Thank you for your help!
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