Power BI is turning 10, and we’re marking the occasion with a special community challenge. Use your creativity to tell a story, uncover trends, or highlight something unexpected.
Get startedJoin us for an expert-led overview of the tools and concepts you'll need to become a Certified Power BI Data Analyst and pass exam PL-300. Register now.
Hi All,
I have a list of a table of defective value / total value by date and factory location.
In E2, I like to show the result of D10 / D5 , could you please help!
All the best,
Paris
Solved! Go to Solution.
Hi, @paris
Based on the above data, I guess there is an error in the description, E2=D2/D5 instead of D10/D5.
So, try to create a measure like this:
Measure =
VAR _def =
CALCULATE (
SUM ( [Value] ),
FILTER (
ALLEXCEPT ( 'Table', 'Table'[Date], 'Table'[Factory] ),
[ltem] = "Defective"
)
)
VAR _Total =
CALCULATE (
SUM ( [Value] ),
FILTER (
ALLEXCEPT ( 'Table', 'Table'[Date], 'Table'[Factory] ),
[ltem] = "Total"
)
)
RETURN
IF ( MAX ( [ltem] ) = "Total", BLANK (), DIVIDE ( _def, _Total )
Result:
Best Regards,
Community Support Team _ Zeon Zheng
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi, @paris
Based on the above data, I guess there is an error in the description, E2=D2/D5 instead of D10/D5.
So, try to create a measure like this:
Measure =
VAR _def =
CALCULATE (
SUM ( [Value] ),
FILTER (
ALLEXCEPT ( 'Table', 'Table'[Date], 'Table'[Factory] ),
[ltem] = "Defective"
)
)
VAR _Total =
CALCULATE (
SUM ( [Value] ),
FILTER (
ALLEXCEPT ( 'Table', 'Table'[Date], 'Table'[Factory] ),
[ltem] = "Total"
)
)
RETURN
IF ( MAX ( [ltem] ) = "Total", BLANK (), DIVIDE ( _def, _Total )
Result:
Best Regards,
Community Support Team _ Zeon Zheng
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hello Zeon Zheng,
Thank you so much for your help. It worked nicely , thank you again.
Thank you again,
All the best,
Paris
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
Check out the June 2025 Power BI update to learn about new features.
User | Count |
---|---|
68 | |
57 | |
55 | |
36 | |
34 |
User | Count |
---|---|
81 | |
75 | |
49 | |
45 | |
43 |