A table that is similar to the data set I am working on (although much simpler) is below that I would like to calculate some measures on and then find the percentiles of the measures.
Table Name: Data
Owner AgeRating OtherRating
A 1 2
A 4 4
A 4 6
B 3 3
B 3 9
B 7 4
C 8 8
C 4 2
First - A little background: I start by taking an average of the ratings (By Owner) and then normalize all ratings by dividing each rating by the maximum owner's rating - This creates the measure I would like to take the percentile of:
NormAgeRating=
average(Data[AgeRating])/
calculate(
maxx(
SUMMARIZE(Data,[Owner],"avg",average([AgeRating]))
,[avg]
)
,all(Data[owner])
)
I have a pivot table with Rows being the owner which then looks like
Owner NormAgeRating
A .5
B .72
C 1
Now for the question:
I would like to get the .33 percentile.inc
of the new NormAgeRating
. I would like to use this to classify each owner into groups (<=33%ile or > 33%ile)
This is what I am trying to get to:
Owner NormAgeRating 33%ile classification
A .5 .64 bottom
B .72 .64 top
C 1 .64 top
I have tried this with no success and many other variation with different groupby's etc. and continually get the wrong value:
33%ile=percentilex.inc(all(data[owner]),[NormAgeRating],0.33)
Any help would be greatly appreciated
Update:
When I try sumx
countx
and averagex
in the form:
=
averagex(
SUMMARIZE(
all(Data[Owner]),
[Owner],
"risk",[NormAgeRating]),
[risk]
)
I am getting the right values, so I am not sure why using percentilex.inc/exc
would produce the wrong values...