Forum Discussion
Find rolling 12 month average trend
I have a custom measure named 'Measure_2' that evaluates and generates values to common unit. I have data ranging from 2018 to 2023.
I would like to create a new DAX measure '12MonthRollingAvg' that will find the rolling average of past 12 months and another DAX measure 'Past12monthRollingAvg' that will find rolling average of 12 months a year before than current date.
I tried this DAX command but it fails.
My desired visualization should look something like this:
The blue line is for Measure '12MonthRollingAvg' and grey line is 'Past12MonthRollingAvg'
My table for dates looks like this:
2 Replies
- ValtteriN
Community Champion
Hi,
Try these kinds of structures:
12M AVG =CALCULATE ( DIVIDE ( selectedmeasure(), 12 ), DATESBETWEEN ( 'Calendar'[Date], DATEADD ( LASTDATE ( DATEADD ( 'Calendar'[Date], -12, MONTH ) ), +1, DAY ), LASTDATE ( 'Calendar'[Date] ) ) )
PY 12M =
CALCULATE ( [12M AVG], SAMEPERIODLASTYEAR ( 'Calendar'[Date] ) )
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- AnonymousNot applicable
Thanks for your comment. I tried out your DAX expression and tried to visualize it using spark lines. But the output isnt what I expected. I had to change your expression to accomodate my tables. This is how the DAX expression looks like now:
Rolling12Month = CALCULATE ( DIVIDE ( selectedmeasure(), 12 ), DATESBETWEEN ( 'Calendar_Month'[Calendar Month - Number], DATEADD ( LASTDATE ( DATEADD ( 'Calendar_Month'[Calendar Month - Number], -12, MONTH ) ), +1, DAY ), LASTDATE ( 'Calendar_Month'[Calendar Month - Number] ) ) )
However, the visualization with this still gives an error.