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Hello all,
May i know how to write a DAX for Run Rate = ( Total Net Sales/9 month)*12 in power BI?
i would like the date is automate means if going oct so the total run rate will calculate (total net sales/10month)*12.
Solved! Go to Solution.
Hi @Anonymous ,
Here I create a sample to have a test. I suggest you to create a Calendar table to help your calculation.
Calendar = ADDCOLUMNS(CALENDARAUTO(),"Year",YEAR([Date]),"Month",MONTH([Date]),"MonthShortName",FORMAT([Date],"MMM"))
Data model:
Measure:
Net Sales = CALCULATE(sum('Table'[Value]))
Running Rate =
VAR _LASTMONTH =
CALCULATE (
MAX ( Calendar[Month] ),
FILTER (
ALL ( 'Calendar' ),
'Calendar'[Year] = MAX ( 'Calendar'[Year] )
&& [Net Sales] <> 0
)
)
VAR _Total =
CALCULATE ( [Net Sales], ALLEXCEPT ( 'Calendar', 'Calendar'[Year] ) )
RETURN
DIVIDE ( _Total, _LASTMONTH ) * 12
Result is as below.
Best Regards,
Rico Zhou
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @Anonymous ,
Here I create a sample to have a test. I suggest you to create a Calendar table to help your calculation.
Calendar = ADDCOLUMNS(CALENDARAUTO(),"Year",YEAR([Date]),"Month",MONTH([Date]),"MonthShortName",FORMAT([Date],"MMM"))
Data model:
Measure:
Net Sales = CALCULATE(sum('Table'[Value]))
Running Rate =
VAR _LASTMONTH =
CALCULATE (
MAX ( Calendar[Month] ),
FILTER (
ALL ( 'Calendar' ),
'Calendar'[Year] = MAX ( 'Calendar'[Year] )
&& [Net Sales] <> 0
)
)
VAR _Total =
CALCULATE ( [Net Sales], ALLEXCEPT ( 'Calendar', 'Calendar'[Year] ) )
RETURN
DIVIDE ( _Total, _LASTMONTH ) * 12
Result is as below.
Best Regards,
Rico Zhou
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi, I need the same but for month
for example
in excel I have the formula
%compliance/daysworked*days of the month
in excel I have the formula
% compliance/days worked*days of the month
I try to do the same in power bi but is not working.
Can you help me please.
@Anonymous , Use of function average or averagex should work in this case. Otherwise provide data in tabular form.
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