Get certified for free when you join Fabric Data Days 2026 and dive into Fabric, Power BI, SQL, AI, and other essential data skills.
Join nowData Days is here! Join us now for 60+ days of learning, challenges, and connection. Learn more
Hi,
Please help figureout how to approach measure which will return distincted summary for the column values
Example
| USR_ID | TRNX | Events |
| 100 | 9001 | 6 |
| 100 | 9002 | 6 |
| 100 | 9003 | 6 |
| 100 | 9004 | 6 |
| 102 | 8001 | 1 |
| 102 | 8002 | 1 |
Measure should return distinct sum of Event column grouped by USR_ID
mean expected result of measure = 6+1 = 7
Solved! Go to Solution.
@mrslyfox911 , Try a measure like
Sumx(Distinct(Table[Events]), [Events])
or
sumx(summarize(Table, Table[User_id], Table[Events]) , [Events])
Hello @Mahesh0016
unfortunnatelly solluction not applicable for me, because I'm not looking for the summary of min and max values. target was to sum distinct value per sub category
@mrslyfox911 , Try a measure like
Sumx(Distinct(Table[Events]), [Events])
or
sumx(summarize(Table, Table[User_id], Table[Events]) , [Events])
thank you @amitchandak
that one working as expected
sumx(summarize(Table, Table[User_id], Table[Events]) , [Events])
Don't miss out on Data Days, June 15 through August 7. Learn Fabric, Power BI, SQL, AI and more.
Check out the May 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 23 | |
| 21 | |
| 20 | |
| 18 | |
| 13 |
| User | Count |
|---|---|
| 58 | |
| 51 | |
| 37 | |
| 30 | |
| 26 |