Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

The ultimate Microsoft Fabric, Power BI, Azure AI & SQL learning event! Join us in Las Vegas from March 26-28, 2024. Use code MSCUST for a $100 discount. Register Now

Reply
Christoffer_B
Frequent Visitor

Distinct count per day from 2 tables summarized by period

Hi, 

 

I'm new to Power BI and are looking to create a report to track product engagement over time.

For that I would need to track active users per day, week & month and compare those with the previous period. I'm having issues creating a formula that can display the distinct count of users PER DAY from the 2 tables.

 

I'm tracking active users from 2 tables (Feature Click & Page View), 1 user can appear in both tables on the same day, in that case the specific user should only appear as 1 count. 

 

I've tried using the formula below, but it doesn't seem to "reset" for each day and thereby doesn't allow comparisons to previous periods.

Distinct Count Page & Feature =
 COUNTROWS(
     DISTINCT(
         UNION(
             VALUES(Fact_Platform_Feature_Click[Platform_User_SK]),
             VALUES(Fact_Platform_Page_View[Platform_User_SK])
         )   
     )  
 )
 
Example data
Table 1:
Table 1Table 1
Table 2:
Table 2Table 2
Result I'm seeking:
Result i'm seekingResult i'm seeking
1 ACCEPTED SOLUTION
amitchandak
Super User
Super User

@Christoffer_B , Create a common Date and user tables and join both tables with these two tables.

 

Now create this measure and plot it with a common date column

 

measure = Countrows(Distinct(union(Distinct(Table1[User]), Distinct(Table2[User])) ) )

 

https://amitchandak.medium.com/power-bi-when-i-asked-you-to-create-common-tables-a-quick-dax-solutio...

View solution in original post

2 REPLIES 2
amitchandak
Super User
Super User

@Christoffer_B , Create a common Date and user tables and join both tables with these two tables.

 

Now create this measure and plot it with a common date column

 

measure = Countrows(Distinct(union(Distinct(Table1[User]), Distinct(Table2[User])) ) )

 

https://amitchandak.medium.com/power-bi-when-i-asked-you-to-create-common-tables-a-quick-dax-solutio...

Thanks @amitchandak!

This appears to be working exactly how i wanted it to! 🙂 

Helpful resources

Announcements
Fabric Community Conference

Microsoft Fabric Community Conference

Join us at our first-ever Microsoft Fabric Community Conference, March 26-28, 2024 in Las Vegas with 100+ sessions by community experts and Microsoft engineering.

February 2024 Update Carousel

Power BI Monthly Update - February 2024

Check out the February 2024 Power BI update to learn about new features.

Fabric Career Hub

Microsoft Fabric Career Hub

Explore career paths and learn resources in Fabric.

Fabric Partner Community

Microsoft Fabric Partner Community

Engage with the Fabric engineering team, hear of product updates, business opportunities, and resources in the Fabric Partner Community.

Top Solution Authors