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JeremieA
Regular Visitor

Calculate stdv.p measure for a specific range of time

Hello, 

I currently use 

STDVP = STDEV.P(Table[average])
 
but Im trying to make a measure that calculate the stdv.p in the table but only for a certain period of time.

 

So I have a Table that look like this

dateaverage
2023-03-014
2023-03-025
2023-03-038
2023-03-044
2023-03-056
2023-03-069
2023-03-073
2023-03-081
2023-03-0912
2023-03-106

 

I absolutly need the whole table but if I want to calculate only for dates 2023-03-01 to 2023-03-06, how would I do that?

 

Thank you

1 ACCEPTED SOLUTION

I found a way 

STDVMeasure = CALCULATE(
    STDEV.P(Table[average),
    DATESBETWEEN(
        Table[date],  
        date(2022,04,01),  
        date(2023,03,31)  
    )
)
 
Thanks for your time

View solution in original post

4 REPLIES 4
JeremieA
Regular Visitor

Thank you for the response, but I have to make this measure in around 50 differents, non related table in my dashboard, using a slicer would be less than optimal

Hi @JeremieA 

To be able to help, I recommend fully and clearly describing what is required and what the desired result is.

I found a way 

STDVMeasure = CALCULATE(
    STDEV.P(Table[average),
    DATESBETWEEN(
        Table[date],  
        date(2022,04,01),  
        date(2023,03,31)  
    )
)
 
Thanks for your time
Ritaf1983
Super User
Super User

Hi @JeremieA 
You can slice your measure in several ways.

For example :
You can create a calendar table

Ritaf1983_0-1691720604375.pngRitaf1983_1-1691720642696.png

Create a relationship with your data table:

Ritaf1983_2-1691720699130.png

And put the date from the calendar on your slicer

Ritaf1983_3-1691720767276.png

From this moment your measure is dynamic

Ritaf1983_4-1691720819587.png

You can download sa,ple file from here:Link 

 

More information about calendar tables is here:

https://radacad.com/creating-calendar-table-in-power-bi-using-dax-functions

 

If this post helps, then please consider Accepting it as the solution to help the other members find it more quickly

 

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