topic Re: Calculating difference from filtered mean/average in DAX Commands and Tips

Calculating difference from filtered mean/average

AlanRGroskreutz — Thu, 28 Jan 2021 11:57:22 GMT

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'

Group	Value	Mode/group	Calculated Value
1	7	4	3
2	2	2	0
3	6	6	0
1	4	4	0
2	4	2	2
1	4	4	0
3	6	6	0
2	2	2	0

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.

Re: Calculating difference from filtered mean/average

AlB — Thu, 28 Jan 2021 14:08:37 GMT

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/#

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

Cheers

Re: Calculating difference from filtered mean/average

AlanRGroskreutz — Thu, 28 Jan 2021 14:07:39 GMT

Thanks, that did the trick.