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ZiyadSyauqi's avatar
ZiyadSyauqi
Frequent Visitor
2 years ago
Solved

Calculate Custom Row Subtotal in Matrix Visual

Dear Power BI Community,

I need help creating a custom row subtotal in a Matrix Visual. Specifically, I want to calculate the vs_n_min_1_pct column by dividing tm_actual by lm_actual. Here’s a brief overview:

  • Current Result: The row subtotal directly sums all values within the subgroup (summing metrics values inside group_metrics).
  • Desired Result: For the row subtotal of Group2 in the column vs_n_min_1_pct, it should be 116.8%, which is calculated as 5,904,649 (tm_actual) divided by 5,055,722 (lm_actual) multiplied by 100%.

Data Sample

Here’s a simplified version of my data:

 

group_metricsmetricsAttributeValue
Group1A1lm_actual503,347
Group2A2lm_actual5,113,225
Group2B2lm_actual-387,922
Group2C2lm_actual270,220
Group2D2lm_actual19,299
Group2E2lm_actual40,900
Group1A1tm_actual446,129
Group2A2tm_actual5,023,533
Group2B2tm_actual589,795
Group2C2tm_actual267,103
Group2D2tm_actual13,253
Group2E2tm_actual10,965
Group1A1vs_n_min_1_pct88.60%
Group2A2vs_n_min_1_pct98.20%
Group2B2vs_n_min_1_pct-152.00%
Group2C2vs_n_min_1_pct98.80%
Group2D2vs_n_min_1_pct68.70%
Group2E2vs_n_min_1_pct26.80%


Current Results Screenshots:
This is what i put in my Matrix Visuals:


and this is the results

Expected Calculation

For Group2, the subtotal for vs_n_min_1_pct should be 116.8%, calculated as follows:

vs_n_min_1_pct_total = (5,904,649 / 5,055,722) × 100% = 116.8%

Issue

While this code works for individual metrics, the row subtotal directly sums up all values within the subgroup. Instead, I want to retain the calculation for tm_actual and lm_actual and specifically calculate the custom row subtotal for vs_n_min_1_pct.

Question

Is it possible to achieve this in Power BI? If so, how can I adjust my DAX measure or the matrix settings to calculate custom row subtotals as described?

Thanks!

 

  • Anonymous's avatar
    Anonymous
    2 years ago

    Hi ZiyadSyauqi ,

     

    Thanks for the reply from ridhoaryo24  / amitchandak .

     

    Please try:

     

    Enter Power Query and pivot the Attribute column:

     

    This is the data after pivoting:

     

    Exit Power Query and create a measure:

    Measure = 
    VAR _tm = SUM('Table'[tm_actual])
    VAR _lm = SUM('Table'[lm_actual])
    RETURN
    IF(
        HASONEVALUE('Table'[group_metrics]),
        DIVIDE(SUM('Table'[tm_actual]),SUM('Table'[lm_actual])),
        DIVIDE(_tm,_lm))

     

    After creation, set the format:

     

    Drag the following fields to the Matrix visual object:

     

    The final page effect is as follows:

     

    If you have any other questions please feel free to contact me.

     

    The pbix file is attached.

     

    Best Regards,
    Yang
    Community Support Team

     

    If there is any post helps, then please consider Accept it as the solution  to help the other members find it more quickly.
    If I misunderstand your needs or you still have problems on it, please feel free to let us know. Thanks a lot!

  • ZiyadSyauqi's avatar
    ZiyadSyauqi
    2 years ago

    Thanks using some additional DAX code and combine with your solution i got this solution:

    ValueNew = 
    VAR lm_actual = CALCULATE(
        SUM(Table[Value]),
        Table[Attribute] = "lm_actual",
        ALLEXCEPT(Table, Table[group_metrics], Table[metrics])
    )
    
    VAR tm_actual = CALCULATE(
        SUM(Table[Value]),
        Table[Attribute] = "tm_actual",
        ALLEXCEPT(Table, Table[group_metrics], Table[metrics])
    )
    
    VAR lm_group = CALCULATE(
        SUM(Table[Value]),
        Table[Attribute] = "lm_actual",
        ALLEXCEPT(Table, Table[group_metrics])
    )
    
    VAR tm_group = CALCULATE(
        SUM(Table[Value]),
        Table[Attribute] = "tm_actual",
        ALLEXCEPT(Table, Table[group_metrics])
    )
    
    RETURN 
    SWITCH(
        TRUE(),
        SELECTEDVALUE(Table[Attribute]) = "vs_n_min_1_pct" && HASONEVALUE(Table[metrics]),
                DIVIDE(tm_actual, lm_actual, 0),
        SELECTEDVALUE(Table[Attribute]) = "vs_n_min_1_pct" && NOT HASONEVALUE(Table[metrics]),
                DIVIDE(tm_group, lm_group, 0),
        SUM(Table[Value])
    )

     

5 Replies

  • Anonymous's avatar
    Anonymous
    Not applicable

    Hi ZiyadSyauqi ,

     

    Thanks for the reply from ridhoaryo24  / amitchandak .

     

    Please try:

     

    Enter Power Query and pivot the Attribute column:

     

    This is the data after pivoting:

     

    Exit Power Query and create a measure:

    Measure = 
    VAR _tm = SUM('Table'[tm_actual])
    VAR _lm = SUM('Table'[lm_actual])
    RETURN
    IF(
        HASONEVALUE('Table'[group_metrics]),
        DIVIDE(SUM('Table'[tm_actual]),SUM('Table'[lm_actual])),
        DIVIDE(_tm,_lm))

     

    After creation, set the format:

     

    Drag the following fields to the Matrix visual object:

     

    The final page effect is as follows:

     

    If you have any other questions please feel free to contact me.

     

    The pbix file is attached.

     

    Best Regards,
    Yang
    Community Support Team

     

    If there is any post helps, then please consider Accept it as the solution  to help the other members find it more quickly.
    If I misunderstand your needs or you still have problems on it, please feel free to let us know. Thanks a lot!

    • ZiyadSyauqi's avatar
      ZiyadSyauqi
      Frequent Visitor

      Thanks Anonymous i think your solution also works!

      I already reply ridhoaryo24 comment for another workaround without needed to do pivoting the table. My actual data need some additional "dynamic column header title" using DAX Columns as the column field so i think it is better not pivoting the data.

  • Hi Ziyad,

    You can make these measure to get the result you want

     

    lm_actual = CALCULATE(SUM('Sheet1 (2)'[Value]), FILTER('Sheet1 (2)', 'Sheet1 (2)'[Attribute]="lm_actual"))
    
    tm_actual = CALCULATE(SUM('Sheet1 (2)'[Value]), FILTER('Sheet1 (2)', 'Sheet1 (2)'[Attribute]="tm_actual"))

     

     

    And then, you make this measure:

     

    vs_n_min_1_pct =
    VAR lm_group = CALCULATE(
    [meas_lm_actual],
    ALLEXCEPT('Sheet1 (2)', 'Sheet1 (2)'[group_metrics])
    )
    VAR tm_group = CALCULATE(
    [meas_tm_actual],
    ALLEXCEPT('Sheet1 (2)', 'Sheet1 (2)'[group_metrics])
    )

     

    Add those calculations to the Values accordingly.

    There is no need to insert anything in the Columns.

     

    May it help you.

     

    Regards,

     

    Ridho A.

    • ZiyadSyauqi's avatar
      ZiyadSyauqi
      Frequent Visitor

      Thanks using some additional DAX code and combine with your solution i got this solution:

      ValueNew = 
      VAR lm_actual = CALCULATE(
          SUM(Table[Value]),
          Table[Attribute] = "lm_actual",
          ALLEXCEPT(Table, Table[group_metrics], Table[metrics])
      )
      
      VAR tm_actual = CALCULATE(
          SUM(Table[Value]),
          Table[Attribute] = "tm_actual",
          ALLEXCEPT(Table, Table[group_metrics], Table[metrics])
      )
      
      VAR lm_group = CALCULATE(
          SUM(Table[Value]),
          Table[Attribute] = "lm_actual",
          ALLEXCEPT(Table, Table[group_metrics])
      )
      
      VAR tm_group = CALCULATE(
          SUM(Table[Value]),
          Table[Attribute] = "tm_actual",
          ALLEXCEPT(Table, Table[group_metrics])
      )
      
      RETURN 
      SWITCH(
          TRUE(),
          SELECTEDVALUE(Table[Attribute]) = "vs_n_min_1_pct" && HASONEVALUE(Table[metrics]),
                  DIVIDE(tm_actual, lm_actual, 0),
          SELECTEDVALUE(Table[Attribute]) = "vs_n_min_1_pct" && NOT HASONEVALUE(Table[metrics]),
                  DIVIDE(tm_group, lm_group, 0),
          SUM(Table[Value])
      )