Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
Hi,
I am looking to create demographic breakdown of individuals, however Distinct Count isn't working as I need for returning users whose category changes.
I want all categories to equal the total number of unique users, rather than the total of unique users in each age
User# | Age |
1 | 18 |
2 | 19 |
3 | 23 |
4 | 27 |
2 | 19 |
5 | 17 |
6 | 23 |
1 | 19 |
Because user#1's age changes, this will get counted once in both the 18 and 19 age category, rather than only once as I need because the user# is the same.
Any thoughts?
Solved! Go to Solution.
@sparker22 , If I am took your question correctly then you can try:-
Measure 3 =
CALCULATE (
DISTINCTCOUNT ( 'Table (3)'[User#] ),
All ('Table (3)'[Age] )
)
Best Regards,
Samarth
If this post helps, please consider accepting it as the solution to help the other members find it more quickly.
Appreciate your Kudos!!
Connect on Linkedin
Hi @sparker22 ,
Create a concatenated column as below and take a distinct count of it:-
Column = [User#]&"-"&[Age]
Measure = distinctcount(table[column])
Thanks,
Samarth
Best Regards,
Samarth
If this post helps, please consider accepting it as the solution to help the other members find it more quickly.
Appreciate your Kudos!!
Connect on Linkedin
Thanks for your response Samarth.
I believe this has the same issue.
As it stands there are 6 distinct users
If we get the distinct count of each age, user 1 will be counted twice, in both the 18 and 19 ages. I would like them to be only counted once
@sparker22 , If I am took your question correctly then you can try:-
Measure 3 =
CALCULATE (
DISTINCTCOUNT ( 'Table (3)'[User#] ),
All ('Table (3)'[Age] )
)
Best Regards,
Samarth
If this post helps, please consider accepting it as the solution to help the other members find it more quickly.
Appreciate your Kudos!!
Connect on Linkedin
Hi,
I am not sure which visualization you want to use to display your information, but please try the below.
expected outcome measure: =
CALCULATE (
DISTINCTCOUNT ( TableName[User#] ),
REMOVEFILTERS ( TableName[Age] )
)
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.
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
108 | |
98 | |
81 | |
65 | |
62 |
User | Count |
---|---|
147 | |
116 | |
104 | |
88 | |
65 |