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Anonymous
Not applicable

Calculate Minimum Average after column value

Hi all, 

I' am doing a sport analysis in which i need to calculate an average of best efforts in specific sports drills. 

 

So, I'm looking towards caluating a average of minimum time spend on a drill after player_name.

=

Player_nameTotal_timeMinimum_timeAvg ((10+30)/2)
X x101020
X x201020
X x301020

Y y

303020
Y y403020
Y y503020

 

 

Cheers, 


/M

1 ACCEPTED SOLUTION
mahoneypat
Microsoft Employee
Microsoft Employee

Please try this expression in your measure in a table visual with Player_Name (and any other columns).

 

Avg Time =
AVERAGEX (
    ALL ( Times[Player_name] ),
    CALCULATE (
        MIN ( Times[Total_time] ),
        ALLEXCEPT (
            Times,
            Times[Player_name]
        )
    )
)

 

Regards,

Pat





Did I answer your question? Mark my post as a solution! Kudos are also appreciated!

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@mahoneypa HoosierBI on YouTube


View solution in original post

4 REPLIES 4
mahoneypat
Microsoft Employee
Microsoft Employee

Please try this expression in your measure in a table visual with Player_Name (and any other columns).

 

Avg Time =
AVERAGEX (
    ALL ( Times[Player_name] ),
    CALCULATE (
        MIN ( Times[Total_time] ),
        ALLEXCEPT (
            Times,
            Times[Player_name]
        )
    )
)

 

Regards,

Pat





Did I answer your question? Mark my post as a solution! Kudos are also appreciated!

To learn more about Power BI, follow me on Twitter or subscribe on YouTube.


@mahoneypa HoosierBI on YouTube


Anonymous
Not applicable

Absolute legend @mahoneypat , thx!

 

//M

amitchandak
Super User
Super User

@Anonymous , Create a measure like

averageX(values(Table[Player_name]), calculate(Min(Table[Total_time])))

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Anonymous
Not applicable

Hi,

Thanks for the effort! 🙂

 

That doesn't return a single AVG. The AVG varies row for row. It should be the same for the whole table as the AVG should be calculated for the whole table meaning AVG of minimum-time after player = Óne value for all rows, as they are subject to the same table avg.

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