Forum Discussion
Calculation Group being Weird When Filtered
Hi All
I'm messing around with calculation groups and found something weird happening when I filter my dimension.
So I have calculation that do YTD, MTD, WTD etc and they all work fine. See below, I've changed my measure to return 1 if its not blank and 0 if it is for obvious reasons
Unfiltered
You can see some codes have a 1 others a 0 and the total is 1 (with real numbers this is accurate)
If I remove any code (blank in this case) everything is 0 except for the total
Filtered
MTD and the other do not have this problem. DAX below
YTD - (Not working)
VAR Year = CALCULATE( SELECTEDVALUE( Dates[Year] ), Dates[IsTodayFlag] = TRUE() )
VAR ReturnValue = CALCULATE( SELECTEDMEASURE(), Dates[Year] = Year, Dates[Is Part Of Current Year?] = TRUE() )
RETURN
IF( ReturnValue = BLANK(), 0, 1 )
MTD - (Working)
VAR Year = CALCULATE( SELECTEDVALUE( Dates[Year] ), Dates[IsTodayFlag] = TRUE() )
VAR CDate = CALCULATE( SELECTEDVALUE( Dates[Date]) , Dates[IsTodayFlag] = TRUE() )
VAR CMonth = CALCULATE( SELECTEDVALUE( Dates[Month] ), Dates[Date] = CDate )
VAR ReturnValue = CALCULATE( SELECTEDMEASURE(), Dates[Year] = Year, Dates[Month] = CMonth, Dates[Is Part Of Current Year?] = TRUE() )
RETURN
IF( ReturnValue = BLANK(), 0, 1 )
I know the measures can be written better, i.e. using DATESYTD etc, but like I said, im just playing at the moment
2 Replies
MCornish , these are various version without TI
This Year = CALCULATE(sum('order'[Qty]),filter(ALL('Date'),'Date'[Year]=max('Date'[Year])))
Last Year = CALCULATE(sum('order'[Qty]),filter(ALL('Date'),'Date'[Year]=max('Date'[Year])-1))
diff % = divide([This Year]-[Last Year ],[Last Year ])Year Rank = RANKX(all('Date'),'Date'[Year Start date],,ASC,Dense)
This Year = CALCULATE(sum('order'[Qty]), FILTER(ALL('Date'),'Date'[Year Rank]=max('Date'[Year Rank])))
Last Year = CALCULATE(sum('order'[Qty]), FILTER(ALL('Date'),'Date'[Year Rank]=max('Date'[Year Rank])-1))Day of Year =datediff([Year Start date] , [Date],Day) +1
YTD= CALCULATE(sum('order'[Qty]), FILTER(ALL('Date'),'Date'[Year Rank]=max('Date'[Year Rank]) && 'Date'[Day of Year] <= Max('Date'[Day of Year]) ))
LYTD = CALCULATE(sum('order'[Qty]), FILTER(ALL('Date'),'Date'[Year Rank]=max('Date'[Year Rank])-1 && 'Date'[Day of Year] <= Max('Date'[Day of Year])))YTD= CALCULATE(sum('order'[Qty]), FILTER(ALL('Date'),'Date'[Year]=max('Date'[Year]) && 'Date'[Month] <= Max('Date'[Month]) ))
LYTD = CALCULATE(sum('order'[Qty]), FILTER(ALL('Date'),'Date'[Year]=max('Date'[Year])-1 && 'Date'[Month] <= Max('Date'[Month])))YTD= CALCULATE(sum('order'[Qty]), FILTER(ALL('Date'),'Date'[Year]=max('Date'[Year]) && 'Date'[Qtr] <= Max('Date'[Qtr]) ))
LYTD = CALCULATE(sum('order'[Qty]), FILTER(ALL('Date'),'Date'[Year]=max('Date'[Year])-1 && 'Date'[Qtr] <= Max('Date'[Qtr])))
Year Week = [Year]*100 +[Week]
YTD= CALCULATE(sum('order'[Qty]), FILTER(ALL('Date'),'Date'[Year]=max('Date'[Year]) && 'Date'[Week] <= Max('Date'[Week]) ))
LYTD = CALCULATE(sum('order'[Qty]), FILTER(ALL('Date'),'Date'[Year]=max('Date'[Year])-1 && 'Date'[Week] <= Max('Date'[Week])))You can check , if these can help
Power BI — Year on Year with or Without Time Intelligence
https://medium.com/@amitchandak.1978/power-bi-ytd-questions-time-intelligence-1-5-e3174b39f38a
https://www.youtube.com/watch?v=km41KfM_0uA
Power BI — Qtr on Qtr with or Without Time Intelligence
https://medium.com/@amitchandak.1978/power-bi-qtd-questions-time-intelligence-2-5-d842063da839
https://www.youtube.com/watch?v=8-TlVx7P0A0
Power BI — Month on Month with or Without Time Intelligence
https://medium.com/@amitchandak.1978/power-bi-mtd-questions-time-intelligence-3-5-64b0b4a4090e
https://www.youtube.com/watch?v=6LUBbvcxtKA
Power BI — Week on Week and WTD
https://medium.com/@amitchandak.1978/power-bi-wtd-questions-time-intelligence-4-5-98c30fab69d3
https://community.powerbi.com/t5/Community-Blog/Week-Is-Not-So-Weak-WTD-Last-WTD-and-This-Week-vs-Last-Week/ba-p/1051123
https://www.youtube.com/watch?v=pnAesWxYgJ8Hi MCornish ,
I don't reproduct your problem, could you please share your PBIX file that doesn't contain sensitive data?
Best Regards,
Winniz
