Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
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:
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
111 | |
100 | |
80 | |
64 | |
58 |
User | Count |
---|---|
148 | |
111 | |
93 | |
84 | |
66 |