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francino
Frequent Visitor

Count products below a user defined threshold

I am having trouble with getting a count of products below a user selected threshold.  Here is the scenario.  I have a table with products and their respective sales:

francino_0-1614173754604.png

 

I calculate the average sales using a measure.  Then I factor that average using a what if scenario to arrive at a threshold.

 

(MEASURE) Ave Sales = CALCULATE(sum('Table1'[Sales])/DISTINCTCOUNT('Table1'[Unit]))

Factor = 40% --> from a user defined What if Scenario

(MEASURE) Threshold = [Ave Sales]*('Factor'[Factor Value])

 

Ave Sales = 151.25

Factor = 40%

Threshold = 60.5

 

What I need to know is the number of products below that threshold.  In this example, that number should be 2.

 

I know that measures cannot be used to determine a subset of data in another measure.  I have tried dividing the Sales into the Threshold and counting the #'s less than 1 and several other approaches. 

 

Thank you in advance!

 

1 ACCEPTED SOLUTION
amitchandak
Super User
Super User

@francino , Try measure

 


GT Threshold =
var _t = calculate([Threshold], allselected(Table))
return
countx(values(table[product]), if([sales] > _T,[product], blank()))

 

Below Threshold =
var _t = calculate([Threshold], allselected(Table))
return
countx(values(table[product]), if([sales] <_T,[product], blank()))

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View solution in original post

2 REPLIES 2
amitchandak
Super User
Super User

@francino , Try measure

 


GT Threshold =
var _t = calculate([Threshold], allselected(Table))
return
countx(values(table[product]), if([sales] > _T,[product], blank()))

 

Below Threshold =
var _t = calculate([Threshold], allselected(Table))
return
countx(values(table[product]), if([sales] <_T,[product], blank()))

Share with Power BI Enthusiasts: Full Power BI Video (20 Hours) YouTube
Microsoft Fabric Series 60+ Videos YouTube
Microsoft Fabric Hindi End to End YouTube

Thank you!  That worked.  I made just one small change to the variable by replacing your code with the Threshold measure and it all came together.

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