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 all,
I am working on creating a production yield dashboard. Dummy format of how my data looks is attached below. I wanted to calculate yield of each operation individually. As you can see, a particular unit id can be present multiple times in a column, however it is only present once in each operation. Can you guys help me in filtering out yield with respect to Operation? Yield basically is [(count of unique unit id in a particular operation that have a "pass" result) divided by (Count of total amount of unique unit id going into the operation)]
Solved! Go to Solution.
Hi @Anonymous ,
Please check:
Measure =
VAR Count_UnitID =
CALCULATE (
DISTINCTCOUNT ( 'Table'[Unit ID] ),
FILTER (
ALLEXCEPT ( 'Table', 'Table'[Cycle], 'Table'[Operation] ),
'Table'[Status] = "pass"
)
)
VAR Count_ALL =
CALCULATE (
DISTINCTCOUNT ( 'Table'[Unit ID] ),
ALLEXCEPT ( 'Table', 'Table'[Cycle], 'Table'[Operation] )
)
RETURN
DIVIDE ( Count_UnitID, Count_ALL )
Column =
VAR Count_UnitID =
CALCULATE (
DISTINCTCOUNT ( 'Table'[Unit ID] ),
FILTER (
ALLEXCEPT ( 'Table', 'Table'[Cycle], 'Table'[Operation] ),
'Table'[Status] = "pass"
)
)
VAR Count_ALL =
CALCULATE (
DISTINCTCOUNT ( 'Table'[Unit ID] ),
ALLEXCEPT ( 'Table', 'Table'[Cycle], 'Table'[Operation] )
)
RETURN
DIVIDE ( Count_UnitID, Count_ALL )
Best Regards,
Icey
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @Anonymous ,
Please check:
Measure =
VAR Count_UnitID =
CALCULATE (
DISTINCTCOUNT ( 'Table'[Unit ID] ),
FILTER (
ALLEXCEPT ( 'Table', 'Table'[Cycle], 'Table'[Operation] ),
'Table'[Status] = "pass"
)
)
VAR Count_ALL =
CALCULATE (
DISTINCTCOUNT ( 'Table'[Unit ID] ),
ALLEXCEPT ( 'Table', 'Table'[Cycle], 'Table'[Operation] )
)
RETURN
DIVIDE ( Count_UnitID, Count_ALL )
Column =
VAR Count_UnitID =
CALCULATE (
DISTINCTCOUNT ( 'Table'[Unit ID] ),
FILTER (
ALLEXCEPT ( 'Table', 'Table'[Cycle], 'Table'[Operation] ),
'Table'[Status] = "pass"
)
)
VAR Count_ALL =
CALCULATE (
DISTINCTCOUNT ( 'Table'[Unit ID] ),
ALLEXCEPT ( 'Table', 'Table'[Cycle], 'Table'[Operation] )
)
RETURN
DIVIDE ( Count_UnitID, Count_ALL )
Best Regards,
Icey
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
@Anonymous Perhaps:
Measure =
VAR __Denominator = COUNTROWS('Table')
VAR __Numerator = COUNTROWS(DISTINCT(SELECTCOLUMNS(FILTER('Table',[Status]="pass"),"Unit ID",[Unit ID])))
RETURN
DIVIDE(__Numerator,__Denominator,0)
@Greg_Deckler
Thank you for the reply. I did try using this method and I see 100% yield for all the processes whiich is not the case.
The Power BI Data Visualization World Championships is back! It's time to submit your entry.
Check out the January 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 61 | |
| 49 | |
| 30 | |
| 25 | |
| 23 |
| User | Count |
|---|---|
| 128 | |
| 104 | |
| 56 | |
| 39 | |
| 31 |