Calculate login count

[alexsimonsson]

Hello, 

I have table with information about user logins. As I'm trying to get data about the activity of the users I'd like to show the login count as shown below and then convert this to histogram.

Period (month)
Login count       Count of User ID:s
>10                   120

9                        58

8                        62

7                        70
6                        75
5                        80
4                        90
...

Here is the table I'm working with:

Any ideas how I can do this? 

Thanks in advance! 

Axel

[v-yuta-msft]

@alexsimonsson,

Could you post same sample data of login table and clarify more details about your requirement?

Community Support Team _ Jimmy Tao

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

[alexsimonsson]

This is the data I'm working with: 


What I want to do with this data, is that I want to count the logins and then show how many users (user_id:s) logged in per login count group. So that I can visualise that there was X amount of users that logged in 2 times in a month and X amount of users that logged in over 10 times: 



Thank you in advance

[v-yuta-msft · Accepted solution]

@alexsimonsson,

To be general, you may refer to steps below:

1. Create a calculate column to achieve the month:

Month =
MONTH ( Table[created_at] )

2. Create a slicer based on Logins/months column in anithort table.

3. Create a calculate column to achieve the login times per month per id using DAX below:

count =
CALCULATE ( COUNT ( Table[id] ), ALLEXCEPT ( Table, Table[Month], Table[id] ) )

4. Create a measure to achieve the login count:

Users =
IF (
    Table2[Logins/months] <> ">10",
    CALCULATE (
        DISTINCTCOUNT ( Table[id] ),
        FILTER ( Table, Table[count] = SELECTEDVALUE ( Table2[Logins/month] ) )
    ),
    CALCULATE ( DISTINCTCOUNT ( Table[id] ), FILTER ( Table, Table[count] >= 10 ) )
)

5. Drag measure 'Users' and the Logins/month column to the table visual.

Community Support Team _ Jimmy Tao

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