Get certified for free when you join Fabric Data Days 2026 and dive into Fabric, Power BI, SQL, AI, and other essential data skills.
Join nowJuly 7 - July 17 | Round 2 of the Power BI Dataviz World Championships. Don't miss your chance! Learn more
Hello,
I have got 2 tables with different columns, but wto columns are same, date and customerID. I would like to do distinctcount to count all customerIDs from these two tables.
As shown in the picture, correct result I am expecting is 4.
Any suggestions? Thx
Solved! Go to Solution.
Hi @mstefancik,
You could try this:
First calculate a new table having the values of CustomerID from Table1 and Table2
Table = UNION (VALUES( 'Table1'[CustomerID] ), VALUES (Table2[CustomerID] ) )
And then create a measure that counts the distinct values in the new table
Distinct Customers = DISTINCTCOUNT('Table'[CustomerID])
Hi @mstefancik,
In addition, you can also use "Append Queries" feature in Query Editor to append Table2 to Table1. The new table looks like below:
Then create a measure to return the count of distinct values:
If you have any question, please feel free to ask.
Best Regards,
Qiuyun Yu
Hi @mstefancik,
You could try this:
First calculate a new table having the values of CustomerID from Table1 and Table2
Table = UNION (VALUES( 'Table1'[CustomerID] ), VALUES (Table2[CustomerID] ) )
And then create a measure that counts the distinct values in the new table
Distinct Customers = DISTINCTCOUNT('Table'[CustomerID])
An alternative solution could be to select the distinct values into you table and then just create a count of the rows in your new table - I would suspect this approach to be faster, but you really need to test this.
Table:
Table = DISTINCT( UNION (VALUES( 'Table1'[CustomerID] ); VALUES (Table2[CustomerID] ) ) )
Measure:
Distinct Customers = COUNTROWS('Table')
| User | Count |
|---|---|
| 22 | |
| 18 | |
| 17 | |
| 17 | |
| 13 |
| User | Count |
|---|---|
| 60 | |
| 54 | |
| 47 | |
| 42 | |
| 37 |