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I have a matrix below showing the Pass % and Fail % of tests according to their test type:
However, as the matrix shows, it isn't showing the correct % per row. For example, Chemical failure rate should be 1.32% (128/9668) but it seems to be computing against the total number of tests (0.50% = 128/25395). The test group is based on a dimension related (1:M) to the data table.
How can I make it so that the % rates are computing based on the total tests in their test group and not against the total number of rows?
Solved! Go to Solution.
Hi @vicky_ ,thanks for the quick reply, I'll add further.
Hi @olimilo ,
You can try the following expression.The Table data is shown below:
Use the following DAX expression to create measures
Tests = COUNTROWS('Data')
TestFailed = COUNTROWS(FILTER('Data','Data'[Ispass] = "false"))
Measure = DIVIDE([TestFailed],[Tests],0)
Final output
Hi @vicky_ ,thanks for the quick reply, I'll add further.
Hi @olimilo ,
You can try the following expression.The Table data is shown below:
Use the following DAX expression to create measures
Tests = COUNTROWS('Data')
TestFailed = COUNTROWS(FILTER('Data','Data'[Ispass] = "false"))
Measure = DIVIDE([TestFailed],[Tests],0)
Final output
It's hard to debug without any given data, or DAX.
How did you calculate your (%) value?
If you've used measures, then you can usually just use DIVIDE([numerator measure], [denominator measure]).
or you can try use the visual calculations (if you've got a more up-to-date version of powerBI), which should handle the various filters you might have applier - https://learn.microsoft.com/en-us/power-bi/transform-model/desktop-visual-calculations-overview
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