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Hi Experts
I cannot work out where i am going wrong with the following rolling 12 months measure. See calculate column measure.
For Jan 19 The result is correct 60%
For Feb 19 The result is worng and should be the Sum of (81,788,374+94393580) / (135,605,381 + 137602264) = 64%
not (94393580) / (137602264) which the measure is returning.
See expected result in excel image
Sample PBIX File
https://www.dropbox.com/s/6uqpevfaqhxy0ye/sAMPLE.pbix?dl=0
Solved! Go to Solution.
This column expression seems to work but two questions. Why not do this as a measure instead? And is there a better way to model your data, to avoid having all the duplicate values in your table?
New column =
VAR enddate = Llo_DIR_Data[Date]
VAR startdate =
EOMONTH ( enddate, -6 ) + 1
VAR result =
CALCULATE (
AVERAGEX (
DISTINCT ( Llo_DIR_Data[Date] ),
CALCULATE (
DIVIDE (
AVERAGE ( Llo_DIR_Data[Result] ),
AVERAGE ( Llo_DIR_Data[Apps in Month/Term] )
)
)
),
ALL ( Llo_DIR_Data ),
FILTER (
ALL ( Llo_DIR_Data[Date] ),
Llo_DIR_Data[Date] >= startdate
&& Llo_DIR_Data[Date] <= enddate
)
)
RETURN
result
Pat
To learn more about Power BI, follow me on Twitter or subscribe on YouTube.
This column expression seems to work but two questions. Why not do this as a measure instead? And is there a better way to model your data, to avoid having all the duplicate values in your table?
New column =
VAR enddate = Llo_DIR_Data[Date]
VAR startdate =
EOMONTH ( enddate, -6 ) + 1
VAR result =
CALCULATE (
AVERAGEX (
DISTINCT ( Llo_DIR_Data[Date] ),
CALCULATE (
DIVIDE (
AVERAGE ( Llo_DIR_Data[Result] ),
AVERAGE ( Llo_DIR_Data[Apps in Month/Term] )
)
)
),
ALL ( Llo_DIR_Data ),
FILTER (
ALL ( Llo_DIR_Data[Date] ),
Llo_DIR_Data[Date] >= startdate
&& Llo_DIR_Data[Date] <= enddate
)
)
RETURN
result
Pat
To learn more about Power BI, follow me on Twitter or subscribe on YouTube.
Many thanks Pat,
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