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AlanRGroskreutz
Helper I
Helper I

Calculating difference from filtered mean/average

I am stuck trying to create either a calculated column or a measure that will give me an array of values calculated from two columns in a table.  The first column contains the groups in which the values fall (Group), and the second contains the values (Value).  What I want to do is to calculate the mode of the values per group and then, per row, subtract the value from that mode.


Here is an example of how the calculations would look (the column Mode/Group isn't necessary and can be a variable)
'Data table'

GroupValueMode/groupCalculated Value
1743
2220
3660
1440
2422
1440
3660
2220

 

I want to be able to later show the maximum, minimum, and average value of this difference per group, and also to be able to filter it for other columns in this table. Therefore I'm not sure if a calculated column or a measure would be better. 

Thanks for any help.

1 ACCEPTED SOLUTION
AlB
Super User
Super User

Hi @AlanRGroskreutz 

Try this for your calculated column

 

New column =
VAR mode_ =
    MINX (
        TOPN (
            1,
            CALCULATETABLE (
                ADDCOLUMNS (
                    DISTINCT ( Table1[Value] ),
                    "Frequency", CALCULATE ( COUNT ( Table1[Value] ) )
                ),
                ALLEXCEPT ( Table1, Table1[Group] )
            ),
            [Frequency], 0
        ),
        Table1[Value]
    )
RETURN
    Table1[Value] - mode_

 

 

 

and check this out for the MODE pattern

https://www.daxpatterns.com/statistical-patterns/#

 

SU18_powerbi_badge

Please accept the solution when done and consider giving a thumbs up if posts are helpful. 

Contact me privately for support with any larger-scale BI needs, tutoring, etc.

Cheers

 

View solution in original post

2 REPLIES 2
AlanRGroskreutz
Helper I
Helper I

Thanks, that did the trick. 

AlB
Super User
Super User

Hi @AlanRGroskreutz 

Try this for your calculated column

 

New column =
VAR mode_ =
    MINX (
        TOPN (
            1,
            CALCULATETABLE (
                ADDCOLUMNS (
                    DISTINCT ( Table1[Value] ),
                    "Frequency", CALCULATE ( COUNT ( Table1[Value] ) )
                ),
                ALLEXCEPT ( Table1, Table1[Group] )
            ),
            [Frequency], 0
        ),
        Table1[Value]
    )
RETURN
    Table1[Value] - mode_

 

 

 

and check this out for the MODE pattern

https://www.daxpatterns.com/statistical-patterns/#

 

SU18_powerbi_badge

Please accept the solution when done and consider giving a thumbs up if posts are helpful. 

Contact me privately for support with any larger-scale BI needs, tutoring, etc.

Cheers

 

View solution in original post

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