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rURAq's avatar
rURAq
Frequent Visitor
2 years ago
Solved

Weighted average shows incorrect sum

Hi everyone,   I'm trying to to calculate weighted average for our analysis around how much time we spend on certain process and my total is not returning correct value. Calculation for each row/ca...
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  • rURAq's avatar
    rURAq
    2 years ago

    Hi everyone,

     

    so I managed to get total working now after finding this piece and added into my measure:

     

    _WAVG = 
    
    VAR _Tot_Comments = CALCULATE(sum(JE_Q[Quantity]),ALLEXCEPT(JE_Q,JE_Q[Quantity]))

    VAR _Comments = SUM(JE_Q[Q_Quantity])

    VAR _Weight_Per = DIVIDE(_Comments,_Tot_Comments)

    VAR _Single = MIN(JE_Q[Time_Spent])

    VAR _WA = SUMX(JE_Q,_Single*[_WAVG_Weight])

    VAR _zTable =    
        ADDCOLUMNS(
        SUMMARIZE(
            JE_Q,
            JE_Q[Time_Spent]),
        "x",_WA
        )

    RETURN

    IF(HASONEVALUE(JE_Q[Time_Spent]),SUMX(VALUES(JE_Q[Time_Spent]),SUMX(_zTable,_Weight_Per * _Single)),    SUMX (
    VALUES ( JE_Q[Time_Spent]),
    CALCULATE (
        DIVIDE (
            SUM ( JE_Q[Quantity] ),
            CALCULATE (
                SUM ( JE_Q[Quantity] ),
               ALLSELECTED (JE_Q[Time_Spent])
            )
        )
            * AVERAGE ( JE_Q[Time_Spent])
    )
))

     

     

    TBH, I do not get it why it is working, I just realized that in my previous formulas I used MIN() in calculation for total, which was wrong and returned 25, what was just count of all categories, but is there a better/cleaner way how to write this?

     

    Thanks!

Anonymous's avatar
Anonymous
Not applicable
2 years ago

Hi rURAq ,

 

The overall look is great! But for calculating the occupancy ratio, you can try using the following expression:

%% = DIVIDE(MAX('Table'[#Comments]),MAX('Table'[_Tot_Comments]))

It also seems to be able to calculate the appropriate share of the situation for you.

 

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.

rURAq's avatar
rURAq
Frequent Visitor
2 years ago

Hi Anonymous,

 

thanks for your advice, much appreciated. 

 

isn't it the same calculation that I use as variable for weight percentage?

 VAR _Weight_Per = DIVIDE(_Comments,_Tot_Comments)

 

this is the part of code I'm trying to improve, especially the final part that returns total weighted average time spent:

    IF(HASONEVALUE(JE_Q[Time_Spent]),SUMX(VALUES(JE_Q[Time_Spent]),SUMX(_zTable,_Weight_Per * _Single)),    SUMX (
    VALUES ( JE_Q[Time_Spent]),
    CALCULATE (
        DIVIDE (
            SUM ( JE_Q[Quantity] ),
            CALCULATE (
                SUM ( JE_Q[Quantity] ),
               ALLSELECTED (JE_Q[Time_Spent])
            )
        )
            * AVERAGE ( JE_Q[Time_Spent])
    )
))

 

Thanks!

  • Anonymous's avatar
    Anonymous
    Not applicable
    2 years ago

    Hi rURAq ,

     

    Maybe I didn't quite understand what you meant, please check the attachment.

     

    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.

     

    • rURAq's avatar
      rURAq
      Frequent Visitor
      2 years ago

      Thanks Anonymous,

       

      I forgot to mention that table I shared is already a matrix out of ~5K rows in "JE_Q" table. And so those count of comments and sum of comments are not columns, so I can't use MIN/MAX.

       

       

      that's why I use these 2 variables to get those numbers, but seems like it's not the suited well for all parts of my final expression.

          VAR _Tot_Comments = CALCULATE(sum(JE_Q[Quantity]),ALLEXCEPT(JE_Q,JE_Q[Quantity]))
    //[Quantity] column is 1 or 0 in main fact table, where 1 is flag rows that should be included in calculation

    VAR _Comments = SUM(JE_Q[Q_Quantity])

       **_Comments = #Comments

       

      Sorry for not being clear enough from get-go...