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Helper I
Helper I

Creating Dynamic Equal Bins (using percentile.inc)

 
1.) I have a table containing columns for Fish Species and Length. e.g.
Bluegill 7.7
Bluegill 8.2
Bluegill 13.2
Crappie 7
Crappie 8.2
Crappe 10.3
 
2.) I want to be able to generate a column in my table that will categorize equally sized "Bins" (i.e. quintiles) BY FISH SPECIES.
 
I found a good reference for how to do this here.
 
The problem in this example is that it generates the bins across the entire dataset instead of by Fish Species. How can I dynamically generate these values based on species?
 
Here is my Dax script
EqualBinsBySpecies =
--Quintiles
VAR N = 5
VAR Percentiles =
ADDCOLUMNS (GENERATESERIES( 1, N ),"Percentile", PERCENTILE.INC(page_Summary_SurveyMeasurements[LengthInches], [Value] / N )
)

RETURN
MINX ( FILTER (Percentiles,page_Summary_SurveyMeasurements[LengthInches] <= [Percentile] ), [Value] )
 
1 ACCEPTED SOLUTION
Microsoft
Microsoft

Hi @hawb ,

 

Try this:

Bucket = 
VAR N = 5
VAR Percentiles =
    ADDCOLUMNS (
        GENERATESERIES ( 1, N ),
        "Percentile", PERCENTILEx.INC ( FILTER('Table',EARLIER('Table'[Fish Species])='Table'[Fish Species]),'Table'[Length. e.g], [Value] / N )
    )
RETURN
    MINX ( FILTER ( Percentiles, 'Table'[Length. e.g] <= [Percentile] ), [Value] )

V-lianl-msft_0-1602039277828.png

 

Best Regards,
Liang
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

2 REPLIES 2
Microsoft
Microsoft

Hi @hawb ,

 

Try this:

Bucket = 
VAR N = 5
VAR Percentiles =
    ADDCOLUMNS (
        GENERATESERIES ( 1, N ),
        "Percentile", PERCENTILEx.INC ( FILTER('Table',EARLIER('Table'[Fish Species])='Table'[Fish Species]),'Table'[Length. e.g], [Value] / N )
    )
RETURN
    MINX ( FILTER ( Percentiles, 'Table'[Length. e.g] <= [Percentile] ), [Value] )

V-lianl-msft_0-1602039277828.png

 

Best Regards,
Liang
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

Super User IV
Super User IV

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