Forum Discussion
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_metrics | metrics | Attribute | Value |
| Group1 | A1 | lm_actual | 503,347 |
| Group2 | A2 | lm_actual | 5,113,225 |
| Group2 | B2 | lm_actual | -387,922 |
| Group2 | C2 | lm_actual | 270,220 |
| Group2 | D2 | lm_actual | 19,299 |
| Group2 | E2 | lm_actual | 40,900 |
| Group1 | A1 | tm_actual | 446,129 |
| Group2 | A2 | tm_actual | 5,023,533 |
| Group2 | B2 | tm_actual | 589,795 |
| Group2 | C2 | tm_actual | 267,103 |
| Group2 | D2 | tm_actual | 13,253 |
| Group2 | E2 | tm_actual | 10,965 |
| Group1 | A1 | vs_n_min_1_pct | 88.60% |
| Group2 | A2 | vs_n_min_1_pct | 98.20% |
| Group2 | B2 | vs_n_min_1_pct | -152.00% |
| Group2 | C2 | vs_n_min_1_pct | 98.80% |
| Group2 | D2 | vs_n_min_1_pct | 68.70% |
| Group2 | E2 | vs_n_min_1_pct | 26.80% |
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!
- Anonymous2 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 TeamIf 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! 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
- AnonymousNot 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 TeamIf 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!- ZiyadSyauqiFrequent 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.
- ridhoaryo24New Member
Hi Ziyad,
You can make these measure to get the result you wantlm_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.
- ZiyadSyauqiFrequent 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]) )
- amitchandakSuper User
ZiyadSyauqi , You can refer the blog how to shift sub total
Power BI How to get the P&L formatting right: https://youtu.be/C9K8uVfthUU
Power BI How to get two columns format Profit and Loss Statement(P&L) right: https://youtu.be/WLg85yiMgHI
https://medium.com/microsoft-power-bi/power-bi-formatted-p-l-with-custom-sub-totals-and-blank-rows-e39ca822908a