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Want to get a running total for each date by SalesReps, ordering by date (ie. Month column) ascending. I have highlighted in red what I am trying to achieve.
Solved! Go to Solution.
RunningTote = VAR _SPerson = TableX[sPerson]
VAR _Day = TableX[day]
RETURN
CALCULATE(SUM([dTarget]),
FILTER(TableX,
TableX[day] <= _Day &&
TableX[sPerson] = _SPerson))Create a calculated column, swap in your table and column names.
Quick Tip : For better help, post sample data rather than a picture of the data
hi, @OLoughanD
You could use Time-intelligence functions: TOTALYTD, TOTALMTD
measre=CALCULATE([DailyTarget],DATESYTD('Date'[Date]))
or filter over the date column using FILTER called as below:
Measure= CALCULATE( SUM(DailyTarget), FILTER (ALLSELECTED ( 'Date'[Date] ), AND ( 'Date'[Date] <= MAX ( 'Date'[Date] ), YEAR ( 'Date'[Date] ) = YEAR ( MAX ( 'Date'[Date] ) ) ) ) )
or
Measure= CALCULATE( SUM([DailyTarget]), FILTER (ALLSELECTED ( 'Date'[Date] ), AND ( 'Date'[Date] <= MAX ( 'Date'[Date] ), AND ( YEAR ( 'Date'[Date] ) = YEAR ( MAX ( 'Date'[Date] ) ), MONTH ( 'Date'[Date] ) = MONTH ( MAX ( 'Date'[Date] ) ) ) ) ) )
Best Regards,
Lin
Hi,
Try this:
Target = SUM(Data[DailyTarget])
RunningTotal = CALCULATE([Target],DATESYTD(Calendar[Date],"31/12"))
Hope this helps.
RunningTote = VAR _SPerson = TableX[sPerson]
VAR _Day = TableX[day]
RETURN
CALCULATE(SUM([dTarget]),
FILTER(TableX,
TableX[day] <= _Day &&
TableX[sPerson] = _SPerson))Create a calculated column, swap in your table and column names.
Quick Tip : For better help, post sample data rather than a picture of the data
@HotChilliThank you very much. This worked perfectly. I added a column to my table and based on your proposed solution my final code was:
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