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syncinatti
New Member

Converting Excel formula to DAX

Hello all.

 

I am having trouble creating a measure requirement from the client that calculates their yearly churn rate.

 

Excel formula and expected output Cumulative:

IDDateCustomersChurn rateCumulativeFormula
C2018520.9951.48=C2*D2
C20191820.98228.8104=(C3+E2)*D3
C20201780.95386.46988=(C4+E3)*D4
C20212520.98625.700482=(C5+E4)*D5
C20223020.94872.038453=(C6+E5)*D6

 

Currently, this is my measure:

 

#Cumulative =
CALCULATE (
    SUM ( [Customers] ) * SUM ( [Churn Rate] ),
    FILTER (
        ALL ( 'Table' ),
        Table[ID] = MAX ( Table[ID] )
            && Table[Year] <= MAX ( Table[Year] )
    )
)

 

 

Is it possible to recreate the requirement dynamically? I'm at wits' end on understanding the logic flow.

 

Thank you.

syncinatti

5 REPLIES 5
tamerj1
Super User
Super User

Hi @syncinatti 
Please refer to attached file with the solution

1.png

Cumulative = 
VAR CurrentDate = SELECTEDVALUE ( 'Table'[Date] )
VAR CurrentIDTable = 
    CALCULATETABLE ( 'Table', ALLEXCEPT ( 'Table', 'Table'[ID] ) )
VAR T1 = FILTER ( CurrentIDTable, 'Table'[Date] <= CurrentDate )
RETURN
    SUMX ( 
        T1,
        VAR CurrentDate1 = 'Table'[Date]
        VAR Customers = 'Table'[Customers]
        VAR T2 = FILTER ( T1, 'Table'[Date] >= CurrentDate1 )
        VAR ChurnRate = PRODUCTX ( T2, [Churn rate] )
        RETURN
            Customers * ChurnRate
    )
v-binbinyu-msft
Community Support
Community Support

Hi @syncinatti ,

 

I'm sorry that DAX can't support recursive operation so far. You can choose  calculate it in Excel and then import it into  Power BI Desktop.

 

Best regards,
Community Support Team_ Binbin Yu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

 

Anonymous
Not applicable

@syncinatti , this involves recursion. I'm not sure that's possible in DAX.

Now that's the word I'm looking for, "recursive" formula. This is essentially impossible on my level, and can be made only through a bloody workaround.

 

@syncinatti 

Why not possible?

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