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lennardheyder's avatar
lennardheyder
Frequent Visitor
4 years ago
Solved

Weighted average without blanks

Hello everybody, 

 

I'm calculating a weighted average of a minimum price weighted by Sales on an article level.

There are however blanks in the list of minimum prices so I dont want to considers those articles at all in the calculation! As there is already "Keepfilters" used in the calculation, I cant apply another filter to exclude the blanks, any idea what to do?

 

Weighted Pricing Delta =
VAR __CATEGORY_VALUES = VALUES('MatHier'[Article name])
RETURN
    DIVIDE(
        SUMX(
            KEEPFILTERS(__CATEGORY_VALUES),
            CALCULATE(
                AVERAGE('PREISBAND'[Δ Pricing letter[CUR / UOW]]])
                    * SUM('OH01 + OS01'[NES 3rd party (€)])
            )
        ),
        SUMX(
            KEEPFILTERS(__CATEGORY_VALUES),
            CALCULATE(SUM('OH01 + OS01'[NES 3rd party (€)]))
        )
    )
Need Help
  • v-chenwuz-msft's avatar
    v-chenwuz-msft
    4 years ago

    Hi lennardheyder,

     

    You can use calculatetable() to adjust the VAR __CATEGORY_VALUES

    VAR __CATEGORY_VALUES= CALCULATETABLE(VALUES('MatHier'[Article name]), ALLNOBLANKROW('MatHier'[minimum prices]))

     

    If does not work, please try this code or share your pbix file without sensitive data.

    or try this code:

    Weighted Pricing Delta =
VAR _s =
    SUMMARIZE (
        'MatHier',
        [Article name],
        "avg", AVERAGE ( 'PREISBAND'[Δ Pricing letter[CUR / UOW]]] ),
        "sum", SUM ( 'OH01 + OS01'[NES 3rd party (€)] )
    )
VAR _1 =
    SUMX ( FILTER ( _s, [avg] <> BLANK () ), [avg] * [sum] )
VAR _2 =
    SUMX ( FILTER ( _s, [avg] <> BLANK () ), [sum] )
RETURN
    DIVIDE ( _1, _2 )

     

    Best Regards

    Community Support Team _ chenwu zhu

     

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

3 Replies

  • amitchandak's avatar
    amitchandak
    Super User
    4 years ago

    lennardheyder , Try like

     

    Weighted Pricing Delta =
    VAR __CATEGORY_VALUES = VALUES('MatHier'[Article name])
    RETURN
    DIVIDE(
    SUMX(
    FILTERS(__CATEGORY_VALUES, not(isblank(AVERAGE('PREISBAND'[Δ Pricing letter[CUR / UOW]])))),
    CALCULATE(
    AVERAGE('PREISBAND'[Δ Pricing letter[CUR / UOW]])
    * SUM('OH01 + OS01'[NES 3rd party (€)])
    )
    ),
    SUMX(
    FILTERS(__CATEGORY_VALUES, not(isblank(AVERAGE('PREISBAND'[Δ Pricing letter[CUR / UOW]])))),
    CALCULATE(SUM('OH01 + OS01'[NES 3rd party (€)]))
    )
    )

    • lennardheyder's avatar
      lennardheyder
      Frequent Visitor
      4 years ago

       Formula does not work unfortunatley.... 

       

      Seems that "Filters" does not work with the input of a variable

  • v-chenwuz-msft's avatar
    v-chenwuz-msft
    Community Support
    4 years ago

    Hi lennardheyder,

     

    You can use calculatetable() to adjust the VAR __CATEGORY_VALUES

    VAR __CATEGORY_VALUES= CALCULATETABLE(VALUES('MatHier'[Article name]), ALLNOBLANKROW('MatHier'[minimum prices]))

     

    If does not work, please try this code or share your pbix file without sensitive data.

    or try this code:

    Weighted Pricing Delta =
VAR _s =
    SUMMARIZE (
        'MatHier',
        [Article name],
        "avg", AVERAGE ( 'PREISBAND'[Δ Pricing letter[CUR / UOW]]] ),
        "sum", SUM ( 'OH01 + OS01'[NES 3rd party (€)] )
    )
VAR _1 =
    SUMX ( FILTER ( _s, [avg] <> BLANK () ), [avg] * [sum] )
VAR _2 =
    SUMX ( FILTER ( _s, [avg] <> BLANK () ), [sum] )
RETURN
    DIVIDE ( _1, _2 )

     

    Best Regards

    Community Support Team _ chenwu zhu

     

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