Forum Discussion
Need help with Running total in %
- 5 years ago
Anonymous , You need date, with this month format this will not work
Sales RT =
VAR MaxDate = Date(2023,5,31)
RETURN
CALCULATE (
SUM('Forecast Table'[count]),
filter(All('Goal Table'), 'Goal Table'[Date]> date(2020,5,1) && 'Goal Table'[Date] <= MaxDate && 'Goal Table'[Date] <= Max('Goal Table'[Date])
))with the current month format, you can get a date like this. In case you do not have one
Date = "01 " & [Month Year] //Change data type to date
- 5 years ago
Hi Anonymous
You could create a new table like your provided ,only two column(date,Count of process Name),then use the following dax to create a measure:
Sales RT =
VAR mindate =
DATE ( 2020, 01, 01 )
VAR maxday =
DATE ( 2023, 10, 15 )
VAR last =
CALCULATE (
SUM ( 'Forecast Table'[Count of Process Name]),
FILTER (
ALL ( 'Forecast Table' ),
'Forecast Table'[Date format]<= MAX ( 'Forecast Table'[Date format] )
&& 'Forecast Table'[Date format] <= maxday
&& 'Forecast Table'[Date format] >= mindate
)
)
RETURN
last
final you will see the below:
Wish it is helpful for you!
Best Regard
Lucien Wang
Anonymous , You need date, with this month format this will not work
Sales RT =
VAR MaxDate = Date(2023,5,31)
RETURN
CALCULATE (
SUM('Forecast Table'[count]),
filter(All('Goal Table'), 'Goal Table'[Date]> date(2020,5,1) && 'Goal Table'[Date] <= MaxDate && 'Goal Table'[Date] <= Max('Goal Table'[Date])
))
with the current month format, you can get a date like this. In case you do not have one
Date = "01 " & [Month Year] //Change data type to date
- Anonymous5 years agoNot applicable
Hi Amit,
Thanks for the reply . I modified the DAX expression using the above shared code. (shown below)
Sales RT =VAR MaxDate = Date(2023,5,1)RETURNCALCULATE (COUNT('Forecast Table'[Process Name]),filter(All('Goal Table'), 'Goal Table'[Date format]> date(2021,5,1) && 'Goal Table'[Date format] <= MaxDate))However, i am not getting the required output. I am not understanding where the problem is. I attached the screen shot below .I am getting 7689 is each row , but the data is not categorized according to Dates mentioned.