Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!The Power BI Data Visualization World Championships is back! It's time to submit your entry. Live now!
Hello,
I have a table that follows this structure:
| Code | Level | Total |
| 111 | A | 1 |
| 111 | A | 1 |
| 222 | B | 1 |
| 333 | B | 2 |
| 333 | B | 1 |
| 111 | C | 1 |
| 222 | D | 1 |
| 444 | D | 2 |
As you can see, the same "Level" can have more than one distinct "Code".
I want to create a measure that sums the "Total" column only if the "Level" is repeated for more than one distinct "Code".
So I wanted a way to know the sum of the "Total" column for each "Level" that is repeated in distinct Codes.
Based on the table above, this measure would bring me the following sum for each Level:
A = 0
B = 4
C = 0
D = 3
Solved! Go to Solution.
Try this:
MeasureTotal =
VAR __table = SUMMARIZE(Table2,Table2[Code],Table2[Level],"count",DISTINCTCOUNT(Table2[Code]),"sum",sum(Table2[Total]))
VAR _table2 = SUMMARIZE(__table,Table2[Level],"countCode",sumx(__table,[count]),"sumtotal",sumx(__table,[sum]))
RETURN IF(sumx(_table2,[countCode])>1,sumx(_table2,[sumtotal]),0)
Proud to be a Super User!
Try this:
MeasureTotal =
VAR __table = SUMMARIZE(Table2,Table2[Code],Table2[Level],"count",DISTINCTCOUNT(Table2[Code]),"sum",sum(Table2[Total]))
VAR _table2 = SUMMARIZE(__table,Table2[Level],"countCode",sumx(__table,[count]),"sumtotal",sumx(__table,[sum]))
RETURN IF(sumx(_table2,[countCode])>1,sumx(_table2,[sumtotal]),0)
Proud to be a Super User!
The Power BI Data Visualization World Championships is back! It's time to submit your entry.
| User | Count |
|---|---|
| 52 | |
| 41 | |
| 32 | |
| 26 | |
| 24 |
| User | Count |
|---|---|
| 132 | |
| 118 | |
| 57 | |
| 45 | |
| 43 |