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! Get ahead of the game and start preparing now! Learn more
Hello there,
I want to do something that seems simple, but I just can't figure it out.
I want to count instances where a value is >= 90% and also separately count values that are below that
I have this data in the table: Production:
| Plant | Material | Production% |
| Plant1 | Material1 | 0.8034 |
| Plant2 | Material2 | 0.9532 |
| Plant1 | Material3 | 0.9804 |
| Plant1 | Material4 | 1.0000 |
| Plant2 | Material5 | 0.7532 |
If Production% is >= 90% (.9000) then count it as 1 pass. If < 90% then count as 1 fail, and sum and display both in a Matrix like this:
| Plant | Pass >=90 | Fail <90 |
| Plant 1 | 2 | 1 |
| Plant 2 | 1 | 1 |
Thanks.
Solved! Go to Solution.
Hi @Anonymous ,
You can create the following 2 measures for calculating the counts of instances( >= 90%) and instances( < 90%) separately, and put them on Values tab of matrix:
Pass =
CALCULATE (
COUNTROWS ( 'Production' ),
FILTER ( 'Production', 'Production'[Production%] >= 0.9 )
)
Fail =
CALCULATE (
COUNTROWS ( 'Production' ),
FILTER ( 'Production', 'Production'[Production%] < 0.9 )
)
Best Regards
Rena
Hi @Anonymous ,
You can create the following 2 measures for calculating the counts of instances( >= 90%) and instances( < 90%) separately, and put them on Values tab of matrix:
Pass =
CALCULATE (
COUNTROWS ( 'Production' ),
FILTER ( 'Production', 'Production'[Production%] >= 0.9 )
)
Fail =
CALCULATE (
COUNTROWS ( 'Production' ),
FILTER ( 'Production', 'Production'[Production%] < 0.9 )
)
Best Regards
Rena
Usually people prefer measures over calculated columns, but this might be a case where a calculated column would come in handy.
I'm a personal Power Bi Trainer I learn something every time I answer a question
The Golden Rules for Power BI
Help when you know. Ask when you don't!
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
| User | Count |
|---|---|
| 38 | |
| 38 | |
| 36 | |
| 28 | |
| 28 |
| User | Count |
|---|---|
| 124 | |
| 88 | |
| 74 | |
| 66 | |
| 65 |