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I have created a calculated column that looks for global outliers but have found that the be insufficient as I have some data in there that, over the entire dataset, is ok but it is obviously incorrect if you look at the values around it.
I can't find a simple formula for this that I can use in DAX. Does anyone know how I could modify the DAX below so it looked at the surrounding values (excluding values that are already marked as a global outlier) and marked any anomilies?
=
var Q1 =
CALCULATE
(
PERCENTILE.INC
(
'sampleDataForCalcs'[Machine Hours - Raw],0.25
),
FILTER
(
ALLEXCEPT
(
'sampleDataForCalcs',
'sampleDataForCalcs'[Unit Number]
),
'sampleDataForCalcs'[Machine Hours - Raw] > 0
)
)
var Q3 =
CALCULATE
(
PERCENTILE.INC
(
'sampleDataForCalcs'[Machine Hours - Raw],0.75
),
FILTER
(
ALLEXCEPT
(
'sampleDataForCalcs',
'sampleDataForCalcs'[Unit Number]
),
'sampleDataForCalcs'[Machine Hours - Raw] > 0
)
)
var IQR = Q3 - Q1
var low = Q1 - 1.5*IQR
var high = Q3 + 1.5*IQR
var outlier =
IF
(
'sampleDataForCalcs'[Machine Hours - Raw] < low
||
'sampleDataForCalcs'[Machine Hours - Raw] > high,
"TRUE",
BLANK()
)
return outlier
Thanks, but these are not what I am looking for.
@justlogmein , refer if these can help outlier
https://community.powerbi.com/t5/Desktop/Removing-X-outlier-records/m-p/555551
https://bielite.com/blog/scale-down-outliers-power-bi/
https://datacornering.com/how-to-identify-outliers-in-microsoft-power-bi/
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