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Hi Guys,
I have 2 linked tables.
the first has the time in minutes spent for the FTEs for all the services provided:
Time | ||
Services | m | Office |
Service 1 | 206 | Office 3 |
Service 2 | 932 | Office 1 |
Service 3 | 510 | Office 2 |
Service 4 | 331 | Office 1 |
Service 5 | 23 | Office 2 |
Service 6 | 1.225 | Office 1 |
Service 7 | 39 | Office 3 |
… | … | … |
the second table has the total potential of hours worked for each Office:
FTE | |
Office | Potential Hours |
Office 1 | 1200 |
Office 2 | 1500 |
Office 3 | 2500 |
My objective is to understand the difference between potential hours and hours really spent on services.
So I got this formula to calculate the effective hours worked:
= CALCULATE ( SUM ( Time[m] ), FILTER ( FTE, FTE[Office] = EARLIER ( Time[Office] ) ) ) / 60
Now i have to filter out Service 6 and I am pretty sure there is a smarter way than this:
= CALCULATE ( CALCULATE ( SUM ( Time[m] ), Time[Services] = "Service 1", Time[Services] = "Service 2", Time[Services] = "Service 3"
... ), FILTER ( FTE, FTE[Office] = EARLIER ( Time[Office] ) ) ) / 60
Waiting for your help.
Thanks
Solved! Go to Solution.
Hi @CiuCiCiao,
To exclude Service 6 from the returned value, you can create a measure like below:
Measure = CALCULATE(SUM('Time'[m]),FILTER('Time','Time'[Office]=MAX('FTE'[Office]) && 'Time'[Services]<>"Service 6"))/60
Best Regards,
Qiuyun Yu
Hi @CiuCiCiao,
To exclude Service 6 from the returned value, you can create a measure like below:
Measure = CALCULATE(SUM('Time'[m]),FILTER('Time','Time'[Office]=MAX('FTE'[Office]) && 'Time'[Services]<>"Service 6"))/60
Best Regards,
Qiuyun Yu
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