Don't miss your chance to take the Fabric Data Engineer (DP-700) exam on us!
Learn moreNext up in the FabCon + SQLCon recap series: The roadmap for Microsoft SQL and Maximizing Developer experiences in Fabric. All sessions are available on-demand after the live show. Register now
Good morning,
I'm stuck in a seemingly easy problem, illustrated below:
I have two linked tables:
I'm trying to calculate the % of TV and Cinema in a bar chart with a slicer for choosing Country. If I use Count as % of GT in the second table only, it gives me a wrong number because it takes into account all rows, where Respondents are duplicated (as it is unpivoted).
I then tried the following formula: %Value=COUNTA('Tab2'[Value]) / CALCULATE(Sum('Tab1'[Count]),ALL('Tab1') but this returns the correct results for the total sample, but wrong results when I start slicing by Country (because the Sum of Count remains constant so it always divides by the total sample.
To illustrate, this is what I'm trying to achieve:
I tried a lot of variations of the formula above, but never got it work for both Total sample and by country. What am I missing?
Any help much appreciated!
George
Solved! Go to Solution.
Hi @Anonymous,
Please modify your measure as below:
%Value =
COUNTA ( 'Tab2'[Value] )
/ CALCULATE ( SUM ( 'Tab1'[Count] ), ALLEXCEPT ( 'Tab1', Tab1[Country] ) )
Best regards,
Yuliana Gu
Hi @Anonymous,
Please modify your measure as below:
%Value =
COUNTA ( 'Tab2'[Value] )
/ CALCULATE ( SUM ( 'Tab1'[Count] ), ALLEXCEPT ( 'Tab1', Tab1[Country] ) )
Best regards,
Yuliana Gu
Thank you very much Yuliana!
Your solution did the trick (+ getting rid of a two-way relationship between my tabs!)
George.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
| User | Count |
|---|---|
| 50 | |
| 44 | |
| 42 | |
| 18 | |
| 18 |
| User | Count |
|---|---|
| 69 | |
| 68 | |
| 32 | |
| 32 | |
| 32 |