Forum Discussion

RonLieuw's avatar
RonLieuw
Helper I
8 years ago
Solved

Calculated item alternative

  I need to calculate a Sex ratio ([male/female]*100) for every year. I read on the forum to make 3 measure e.g F, M and use sexratio=M/F. I am having problems calculating the measures F and M, wh...
Need Help
  • Ashish_Mathur's avatar
    Ashish_Mathur
    8 years ago

    Hi,

     

    Do not drag Sex to the column area section.  Just drag years to the row area section and then write the 3 measures that i shared with you in my earlier post.

v-piga-msft's avatar
v-piga-msft
Resident Rockstar
8 years ago

Hi RonLieuw,

 

You could create the measure below to calculate the Sex ratio ([male/female]*100) for every year without Unpivot Columns.

 

Sex_ratio =
VAR male =
    SUM ( Sheet1[Male] )
VAR female =
    SUM ( Sheet1[Female] )
RETURN
    DIVIDE ( male, female ) * 100

You could refer to the output below.

 

Hope it can help you!

 

Best Regards,

Cherry

RonLieuw's avatar
RonLieuw
Helper I
8 years ago

Hi Cherry, thanks for showing me this method of calculating the sex ratio before unpivoting the columns. I was not aware you could do it as you proposed.

Does this means that it is not possible to calculate the sex ratio if the tabel has been pivotted?

  • Ashish_Mathur's avatar
    Ashish_Mathur
    Super User
    8 years ago

    Hi,

     

    If you want to get your desired result on an unpivoted dataset, try these measures:

     

    Males = CALCULATE(SUM(Data[Aantal]),Data[Sex]="Male")

    Females = CALCULATE(SUM(Data[Aantal]),Data[Sex]="Female")

    Sex ratio (%) = [Males]/[Females]

     

    Hope this helps.

    • RonLieuw's avatar
      RonLieuw
      Helper I
      8 years ago

      HI , thanks for your input. This certainly helps!.

      Can I conclude that you cannot caculate the sex ratio on a pivotted list?

      • Ashish_Mathur's avatar
        Ashish_Mathur
        Super User
        8 years ago

        Hi,

         

        v-piga-msft has already shared that solution with you.