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Ninna's avatar
Ninna
Frequent Visitor
3 years ago
Solved

Calculating difference between columns in matrix view based on filter

Hi,

 

let's say I have matrix table visual with months in rows and countries in columns, and in filter I choose which countries I want to compare.

I need to get column (red in picture) that will calculate % difference between selected countries and that depends on what country I choose in filter. 

 

 

 

  • Hi Ninna 
    You can activate and rename the total column then place the following measure in the matrix instead of the original measure

    ResultMeasure =
    VAR NormalValue = [OriginalMeasure]
    VAR SelectedCountries =
        ALLSELECTED ( 'Table'[Country] )
    VAR Country1 =
        MAXX ( SelectedCountries, 'Table'[Country] )
    VAR Country2 =
        MINX ( SelectedCountries, 'Table'[Country] )
    VAR Country1Value =
        CALCULATE ( [OriginalMeasure], 'Table'[Country] = Country1 )
    VAR Country2Value =
        CALCULATE ( [OriginalMeasure], 'Table'[Country] = Country2 )
    VAR Difference = Country2Value - Country1Value
    RETURN
        IF ( HASONEVALUE ( 'Table'[Country] ), NormalValue, Difference )

2 Replies

  • tamerj1's avatar
    tamerj1
    Community Champion

    Hi Ninna 
    You can activate and rename the total column then place the following measure in the matrix instead of the original measure

    ResultMeasure =
    VAR NormalValue = [OriginalMeasure]
    VAR SelectedCountries =
        ALLSELECTED ( 'Table'[Country] )
    VAR Country1 =
        MAXX ( SelectedCountries, 'Table'[Country] )
    VAR Country2 =
        MINX ( SelectedCountries, 'Table'[Country] )
    VAR Country1Value =
        CALCULATE ( [OriginalMeasure], 'Table'[Country] = Country1 )
    VAR Country2Value =
        CALCULATE ( [OriginalMeasure], 'Table'[Country] = Country2 )
    VAR Difference = Country2Value - Country1Value
    RETURN
        IF ( HASONEVALUE ( 'Table'[Country] ), NormalValue, Difference )
    • Ninna's avatar
      Ninna
      Frequent Visitor

      Great, that is it. Thanks 🙂