Calculate Coefficient as column not measure

[naoyixue1]

Hey all,

Since I want to add the attributes of coefficient of variance at SKU level, I want to calculate that as column not measure. (see below examples) 

Coefficient of variance = standard deviation /  average 

Given that, i should calculate

    1: the weekly average value based on how many weeks total for each item.

    2: the standard deviation of value at SKU level

    3: standard deviation / average 

Do you know how to calculate that in the column? Since I finally want to pull some graph based on the attributes of coefficient of variance. So that one have to be calculated not the measure. Any thoughts? Thanks!

[naoyixue1]

@Anonymous Thanks, Gao! It works for me. 

[naoyixue1]

Any thoughts? 

[Anonymous · Accepted solution]

Hi @naoyixue1 ,

Please check if this is the output you want?

Column = 
VAR _sku_total = CALCULATE(SUM('Table'[Value]),FILTER(ALL('Table'),'Table'[SKU]=EARLIER('Table'[SKU])))
VAR _week_count = CALCULATE(DISTINCTCOUNT('Table'[Week]),FILTER(ALL('Table'),'Table'[SKU]=EARLIER('Table'[SKU])))
VAR _avg = DIVIDE(_sku_total,_week_count)
VAR _stdevx = STDEVX.S(FILTER(ALL('Table'),'Table'[SKU]=EARLIER('Table'[SKU])),'Table'[Value])
VAR _result = DIVIDE(_stdevx,_avg)
RETURN
_result

Best Regards,
Gao
Community Support Team

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