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Anonymous
Not applicable

Success Rate (%) by category

Hello all!

 

I am struggling with what seems to be an easy task.

 

I have a table named "success" that looks like the one below. I have the Category and the Outcome, and I would like to calculate the Success Rate for each category, such that the numbers are as the ones indicated in the column "Success Rate". I tried different methods with Count and Filter but failed every time.  Thank you!

 

Category  Outcome  Success Rate

ATRUE100%
BFALSE0%
DTRUE100%
ATRUE100%
BFALSE50%
CFALSE50%
EFALSE50%
ATRUE100%
EFALSE50%
CTRUE50%
1 ACCEPTED SOLUTION
Greg_Deckler
Super User
Super User

@Anonymous - Here is the column you asked for. PBIX is attached below sig. Table (19)

Success Rate = 
    VAR __True = COUNTROWS(FILTER('Table (19)',[Category]=EARLIER([Category]) && [Outcome]))
    VAR __False = COUNTROWS(FILTER('Table (19)',[Category]=EARLIER([Category]) && NOT([Outcome])))
    VAR __Result = DIVIDE(__True,__True+__False,0)
RETURN
    IF(ISBLANK(__Result),0,__Result)

@ me in replies or I'll lose your thread!!!
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2 REPLIES 2
Greg_Deckler
Super User
Super User

@Anonymous - Here is the column you asked for. PBIX is attached below sig. Table (19)

Success Rate = 
    VAR __True = COUNTROWS(FILTER('Table (19)',[Category]=EARLIER([Category]) && [Outcome]))
    VAR __False = COUNTROWS(FILTER('Table (19)',[Category]=EARLIER([Category]) && NOT([Outcome])))
    VAR __Result = DIVIDE(__True,__True+__False,0)
RETURN
    IF(ISBLANK(__Result),0,__Result)

@ me in replies or I'll lose your thread!!!
Instead of a Kudo, please vote for this idea
Become an expert!: Enterprise DNA
External Tools: MSHGQM
YouTube Channel!: Microsoft Hates Greg
Latest book!:
The Definitive Guide to Power Query (M)

DAX is easy, CALCULATE makes DAX hard...
amitchandak
Super User
Super User

@Anonymous ,

A new measure like

Calculate(Divide(calculate(Count(Table[Outcome]),[Outcome] ="TRUE") ,Count(Table[Outcome])), allexcept(Table,Table[Category]))

 

 

Or a new column


column =
var _cnt =countx(filter(Table , [Category] =earlier([Category])),[Category])
var _cntTR =countx(filter(Table , [Category] =earlier([Category]) && [Outcome] ="TRUE"),[Category])
return
divide( _cntTR,_cnt)

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