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Anonymous
Not applicable

Calculations based on Conditional Calculated columns

I have a table that splits agents into productive and non-productive minutes using a calculated column.

 

The table visual can perform this split quite well, however, when I want to do calculations based on those split values, it becomes quite difficult.

 

So this is what I have in Power BI:

 

rax99_0-1598347061778.png

 

The columns you can see are derived from a calculated column 'ProductiveSplit' 

The calculation for the 'ProductiveSplit'  column is something like:

ProductiveSplit = IF('PBI DAST'[AgentStateTypeIdent]=117,"NP-Known"
,IF('PBI DAST'[AgentStateTypeIdent]=120,"NP-Unknown"
,IF('PBI DAST'[AgentStateTypeIdent]=124,"NP-Known"...

 

What I need are 2 more columns as illustrated in the image above. The calculations are based on the row values of the calculated column 'ProductiveSplit' 

 

So, Prod% = Prod / (NP-Known NP-Unknown + Prod)
      Known% = (Prod NP-Known) / (NP-KnownNP-Unknown Prod)

 

I have the excel sheet attached of how I need the results to appear below.

 

Excel

 

Any help would be great.

1 ACCEPTED SOLUTION
v-xicai
Community Support
Community Support

Hi @Anonymous ,

 

You may create measures like DAX below.

 

Prod% =
VAR _Prod =
    CALCULATE (
        SUM ( Table1[PeriodMins] ),
        FILTER ( Table1, Table1[ProductiveSplit] = "Prod" )
    )
VAR _Total =
    CALCULATE ( SUM ( Table1[PeriodMins] ), ALLSELECTED ( Table1 ) )
RETURN
    DIVIDE ( _Prod, _Total )




Known% =
VAR _Prod =
    CALCULATE (
        SUM ( Table1[PeriodMins] ),
        FILTER ( Table1, Table1[ProductiveSplit] = "Prod" )
    )
VAR _Known =
    CALCULATE (
        SUM ( Table1[PeriodMins] ),
        FILTER ( Table1, Table1[ProductiveSplit] = "NP-Known" )
    )
VAR _Total =
    CALCULATE ( SUM ( Table1[PeriodMins] ), ALLSELECTED ( Table1 ) )
RETURN
    DIVIDE ( _Prod + _Total, _Total )

 

Best Regards,

Amy 

 

Community Support Team _ Amy

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

View solution in original post

3 REPLIES 3
v-xicai
Community Support
Community Support

Hi @Anonymous ,

 

You may create measures like DAX below.

 

Prod% =
VAR _Prod =
    CALCULATE (
        SUM ( Table1[PeriodMins] ),
        FILTER ( Table1, Table1[ProductiveSplit] = "Prod" )
    )
VAR _Total =
    CALCULATE ( SUM ( Table1[PeriodMins] ), ALLSELECTED ( Table1 ) )
RETURN
    DIVIDE ( _Prod, _Total )




Known% =
VAR _Prod =
    CALCULATE (
        SUM ( Table1[PeriodMins] ),
        FILTER ( Table1, Table1[ProductiveSplit] = "Prod" )
    )
VAR _Known =
    CALCULATE (
        SUM ( Table1[PeriodMins] ),
        FILTER ( Table1, Table1[ProductiveSplit] = "NP-Known" )
    )
VAR _Total =
    CALCULATE ( SUM ( Table1[PeriodMins] ), ALLSELECTED ( Table1 ) )
RETURN
    DIVIDE ( _Prod + _Total, _Total )

 

Best Regards,

Amy 

 

Community Support Team _ Amy

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

amitchandak
Super User
Super User

@Anonymous , if you want hybrid table like the one not possible. I logged an idea

https://ideas.powerbi.com/ideas/idea/?ideaid=9bc32b23-1eb1-4e74-8b34-349887b37ebc

 

Hybrid.png

 

 

There is % wise total option in matrix , column-wise too. right click on periodmins under values and check

refer if those can help

https://www.fourmoo.com/2017/07/18/power-bi-dax-measures-for-excel-based-of-column-total-or-of-row-total/

 

or you can create a new meausre

divide(sum(table[period mins]),calculate(sum(table[period mins]). allexcept(Table,table[productivesplit])))

 

or

 

divide(([period mins]),calculate(([period mins]). allexcept(Table,table[productivesplit])))

 

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Anonymous
Not applicable

Thanks  @amitchandak for your reply.

 

This does kind of work, if I display values as %s. However, I have extra columns that I dont need to show, how do I get rid of them (marked x)?

 

rax99_0-1598355325031.png

 

Also, how can I get the 2nd calculation/column:  Known% = (Prod NP-Known) / (NP-KnownNP-Unknown Prod) ?

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