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NB689
Helper I
Helper I

Average Number of Occurrences based on Day

Hello,

 

I am looking to create a measure that will supply me with a "Average Logins Per Day Per User".

 

My data set looks like this:

User IDDate
A7/19/2022
A7/19/2022
A7/20/2022
A7/19/2022
B7/19/2022
B7/19/2022
B7/19/2022
C7/20/2022

 

The logic that I am planning to use to provide the average logins per day per user is: Total number of logins (8)/divided by number of days (2)/divided by number of users (3). So in this case, our number would be 1.3.

 

I would then plan to create a card that has the 1.3 number value, and I would add slicers for the user id and date. If I selected my user ID slicer to user "A" the number that I would expect to see would be 2.

 

Thank you

1 ACCEPTED SOLUTION
vapid128
Solution Specialist
Solution Specialist

 logins per day=

var _days = max([Date])-min([Date])+1

return 

DIVIDE(
    countrow(table),
    discountcount([User ID]) * _days
)
    

View solution in original post

3 REPLIES 3
vapid128
Solution Specialist
Solution Specialist

 logins per day=

var _days = max([Date])-min([Date])+1

return 

DIVIDE(
    countrow(table),
    discountcount([User ID]) * _days
)
    

This is working great. Thank you!

Jihwan_Kim
Super User
Super User

Hi,

Please check the below picture and the attached pbix file.

It is for creating a measure.

 

Untitled.png

 

Avg login per day per user: =
DIVIDE (
    DIVIDE ( COUNTROWS ( Data ), COUNTROWS ( VALUES ( Data[Date] ) ) ),
    COUNTROWS ( VALUES ( Data[User ID] ) )
)

If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.


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