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Hi
I'm trying to calculated FTE turnover, which giving me some headaches. I know the formula for the Turnover Rate, but I'm having a hard time calculating the correct number resigned FTE in the selected Period.
So below example it shows that there is 5 resigned FTE, but there should only be 2. Let me explain.
I know that below calculation sum all the resigned FTE from 01-06-2022 and forward. But I want it to only sum all the resigned FTE in the period from 01-06-2022 -> 30-06-2022 (Based on the selected date). And if i had chosen two dates (01-06-22 and 01-07-22) I want it to sum from 01-06-22 -> 31-07-2022.
I've tried so many things, but nothing gives me the right answer 😕
Hope someone can help, thanks 🙂
FTE_Resigned =
CALCULATE(SUMX(DISTINCT('HR data'[EMPL_NO]),'HR data'[FTE_Average]),
FILTER(VALUES('HR data'[Resigneddate]), AND('HR data'[Resigneddate]>=MIN([Date].[Date]), 'HR data nyeste'[Resigneddate]<> BLANK())))
Solved! Go to Solution.
Hi Alisa
Actually I just found a solution for my problem.
FTE_Resigned_4 =
SUMX(
FILTER(
FILTER('HR data ', 'HR data'[ResignedDate] <> BLANK()),
AND('HR data'[ResignedDate] <= EOMONTH('HR data'[Date].[Date],0),'HR data'[ResignedDate] >= EOMONTH('HR data'[Dato].[Date],-1)+1)
)
, 'HR data'[FTE])
Hi Alisa
Actually I just found a solution for my problem.
FTE_Resigned_4 =
SUMX(
FILTER(
FILTER('HR data ', 'HR data'[ResignedDate] <> BLANK()),
AND('HR data'[ResignedDate] <= EOMONTH('HR data'[Date].[Date],0),'HR data'[ResignedDate] >= EOMONTH('HR data'[Dato].[Date],-1)+1)
)
, 'HR data'[FTE])
Hi @Desauv
Can you provide your data for me ? There is nothing wrong with the formula alone . If possible, you can provide your pbix file(remove sensitive info) to us so that we can deal with your problem easier .
Best Regards,
Community Support Team _ Ailsa Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
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