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Cre8's avatar
Cre8
Regular Visitor
3 years ago
Solved

HELP: Calculate average from functions, dynamic divisor

I have a question and urgently ask for your help!!!
The following problem:

I have four data columns which I can filter (e.g. by month). In Power BI I have calculated the average per column using the AVERAGE function.

 

Mean V1=AVERAGE([Value1] -> New Measure: fx Mean V1
This for all 4 Values, meaning I get 4 functions (each the average of these individual columns).

 

So far so good.

 

Now I want to calculate the average over these four columns. Unfortunately, I cannot have AVERAGE calculated using functions (fx). Therefore I simply summed up the functions (fx) with CALCULATE and divided by 4

 

=CALCULATE([fx average V1]+[fx average V2]+[fx average V3]+[fx average V4])/4

 

This only works if all results of the functions (fx) contain values. If a function (fx) gives no values, the mean value is calculated incorrectly. What can I do now to get a dynamic divisor?
Is it somehow possible to generate again a mean value from functions?

  • Right answer from @AIB

    Measure =
    VAR Count_ =
        INT ( [Measure1] <> BLANK () )
            + INT ( [Measure2] <> BLANK () )
            + INT ( [Measure3] <> BLANK () )
    RETURN
        DIVIDE ( [Measure1] + [Measure2] + [Measure3], Count_ )

2 Replies

  • Cre8 , try a new meausre like

     

    Averagex({[fx average V1],[fx average V2],[fx average V3],[fx average V4]}, [Value])

  • Cre8's avatar
    Cre8
    Regular Visitor

    Right answer from @AIB

    Measure =
    VAR Count_ =
        INT ( [Measure1] <> BLANK () )
            + INT ( [Measure2] <> BLANK () )
            + INT ( [Measure3] <> BLANK () )
    RETURN
        DIVIDE ( [Measure1] + [Measure2] + [Measure3], Count_ )