Forum Discussion

julpol's avatar
julpol
Regular Visitor
2 years ago
Solved

Multiple variance calculation in matrix

Hi everyone   I'm doing a report in which I have multiple years as columns and some categories as rows. I would like to see two variance columns at the end, first as a difference between the last y...
  • Anonymous's avatar
    Anonymous
    2 years ago

    Hi julpol ,

     

    Did I solve your problem? Or you can also try turning off the following two options:

     

    Best regards,
    Community Support Team_ Scott Chang

     

     

bhanu_gautam's avatar
bhanu_gautam
Super User
2 years ago

julpol ,

First, let's create measures to calculate the values for the maximum year and the previous year.

DAX
MaxYearValue =
VAR MaxYear = CALCULATE(MAX('Table'[Year]))
RETURN CALCULATE(SUM('Table'[Value]), 'Table'[Year] = MaxYear)

 

DAX
PreviousYearValue =
VAR MaxYear = CALCULATE(MAX('Table'[Year]))
VAR PrevYear = MaxYear - 1
RETURN CALCULATE(SUM('Table'[Value]), 'Table'[Year] = PrevYear)

 

Then create a mesure for Variance

 Variance$ =
   VAR MaxYear = CALCULATE(MAX('Table'[Year]))
   VAR PrevYear = MaxYear - 1
   VAR MaxYearValue = CALCULATE(SUM('Table'[Value]), 'Table'[Year] = MaxYear)
   VAR PreviousYearValue = CALCULATE(SUM('Table'[Value]), 'Table'[Year] = PrevYear)
   RETURN
   IF(
       ISINSCOPE('Table'[Year]),
       MaxYearValue - PreviousYearValue,
       BLANK()
   )
 
Then one measure for Variance %
DAX
Variance% =
VAR MaxYear = CALCULATE(MAX('Table'[Year]))
VAR PrevYear = MaxYear - 1
VAR MaxYearValue = CALCULATE(SUM('Table'[Value]), 'Table'[Year] = MaxYear)
VAR PreviousYearValue = CALCULATE(SUM('Table'[Value]), 'Table'[Year] = PrevYear)
RETURN
IF(
ISINSCOPE('Table'[Year]),
DIVIDE(MaxYearValue - PreviousYearValue, PreviousYearValue, 0),
BLANK()
)
julpol's avatar
julpol
Regular Visitor
2 years ago

Hi bhanu_gautam 

 

unfortunately, the result is the same, 


1) both variance measures are blank in the matrix

2) when both are used, they are added to every column

 

 

 

  • Anonymous's avatar
    Anonymous
    Not applicable
    2 years ago

    Hi julpol ,

     

    There is no problem with your calculation logic. The problem is because you are putting multiple fields in the Values field of the matrix.For an matrix. multiple fields can be put in the row, which represents the hierarchy, whereas both columns and Values should have only one aggregated field.

     

    Hope it helps!

     

    Best regards,
    Community Support Team_ Scott Chang

     

    If this post helps then please consider Accept it as the solution to help the other members find it more quickly.

    • julpol's avatar
      julpol
      Regular Visitor
      2 years ago

      Hi Anonymous ,

       

      re 1) - the variance$ has probably a wrong filter as its value is $0? Please refer to first screenshot where only one variance is used in teh Values field, and the column shows $0 across all rows.

       

      re 2) - is there a way to achieve this? To have two extra calculated columns on the right, one $ variance and one % variance.

       

      Thank you

      • Anonymous's avatar
        Anonymous
        Not applicable
        2 years ago

        Hi julpol ,

         

        It will give the same results as the last screenshot of your initial post, I made simple samples and you can check the results below:

        Variance$ = var _t = ADDCOLUMNS('Table',"pre",MAXX(FILTER(ALL('Table'),[Category]=EARLIER([Category])&&[Year]=EARLIER([Year])-1),[Value]))
RETURN MAX('Table'[Value])-MAXX(_t,[pre])

Variance% = var _t = ADDCOLUMNS('Table',"pre",MAXX(FILTER(ALL('Table'),[Category]=EARLIER([Category])&&[Year]=EARLIER([Year])-1),[Value]))
RETURN DIVIDE(MAX('Table'[Value])-MAXX(_t,[pre]),SUM('Table'[Value]))

         

        An attachment for your reference. Hope it helps!

         

        Best regards,
        Community Support Team_ Scott Chang

         

        If this post helps then please consider Accept it as the solution to help the other members find it more quickly.