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 nowTry your skills in the Power BI Dataviz World Championship! Round one ends June 26. Join now
Hi PowerBI Community,
Need some help in creating a DAX measure code for below case.
Considering below attempt # and its status for each person, and the Overall Status will be consided as "Passed" if there is any "Passed" attempt (within 3 attempts).
Now I need to create a mesure to directly calculate how many person has "Passed" overall status
Notes: the Overall Status column is not exist in my data and I don't want to create one, instead I want to create a measure to directly count the number of "Passed" Overall Status
| Name | Attempt | Attempt Status | Overall Status |
| Carol | 1 | Failed | Passed |
| Carol | 2 | Failed | |
| Carol | 3 | Passed | |
| Jane | 1 | Passed | Passed |
| Jane | 2 | Passed | |
| Jane | 3 | Passed | |
| Adam | 1 | Failed | Failed |
| Adam | 2 | Failed | |
| Adam | 3 | Failed |
Solved! Go to Solution.
Hi @NSBS ,
Please try:
Count Passed =
var _a = ADDCOLUMNS(ALL('Table'),"Overall", IF("Passed" in SELECTCOLUMNS(FILTER('Table',[Name]=EARLIER('Table'[Name])&&[Attempt]<=3),"Attempt status",[Attempt Status]),
"Passed","Failed"))
return CALCULATE(DISTINCTCOUNT('Table'[Name]),FILTER(_a,[Overall]="Passed"))
Final output:
Best Regards,
Jianbo Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @NSBS ,
Please try:
Count Passed =
var _a = ADDCOLUMNS(ALL('Table'),"Overall", IF("Passed" in SELECTCOLUMNS(FILTER('Table',[Name]=EARLIER('Table'[Name])&&[Attempt]<=3),"Attempt status",[Attempt Status]),
"Passed","Failed"))
return CALCULATE(DISTINCTCOUNT('Table'[Name]),FILTER(_a,[Overall]="Passed"))
Final output:
Best Regards,
Jianbo Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Kindly refer attached screenshot for clearer table
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 | |
| 19 | |
| 13 |
| User | Count |
|---|---|
| 58 | |
| 52 | |
| 37 | |
| 31 | |
| 27 |