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Hi All,
I'm trying to count the amount of times a client login with the same user
and then count the total client that had only one user in three months
| client id | login date | user |
| 1 | 17/11/22 | A |
| 1 | 16/11/22 | B |
| 1 | 15/11/22 | A |
| 2 | 17/11/22 | C |
| 2 | 16/11/22 | j |
| 3 | 07/10/22 | Z |
i tried to use sumarize but it didnt work
pls help 🙂
Solved! Go to Solution.
Hi,
I am not sure how your datamodel looks like, or how your desired outcome of the visualizations look like, but please try something like below and the attached pbix file.
Expected result measure: =
COUNTROWS (
FILTER (
ADDCOLUMNS (
DISTINCT ( Data[client id] ),
"@countusers", CALCULATE ( COUNTROWS ( DISTINCT ( Data[user] ) ) )
),
[@countusers] = 1
)
)
Hi,
I am not sure how your datamodel looks like, or how your desired outcome of the visualizations look like, but please try something like below and the attached pbix file.
Expected result measure: =
COUNTROWS (
FILTER (
ADDCOLUMNS (
DISTINCT ( Data[client id] ),
"@countusers", CALCULATE ( COUNTROWS ( DISTINCT ( Data[user] ) ) )
),
[@countusers] = 1
)
)
Thanks that works!
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| User | Count |
|---|---|
| 7 | |
| 5 | |
| 4 | |
| 3 | |
| 3 |
| User | Count |
|---|---|
| 19 | |
| 10 | |
| 6 | |
| 6 | |
| 5 |