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
Hey, im having problem with a calculated column. I have a column with ID CLIENTE (more than 50K lines) including repeated values and I need to do a new column that works with a kind of COUNTIF (returning how many times this ID appear in the column ID CLIENTE) and divide it by 1 (the max value that I can have is 1) so I did this column called "flag client" with this DAX syntax
Solved! Go to Solution.
Try
flag cliente =
DIVIDE (
1,
CALCULATE (
COUNTROWS ( BASE_BANCO2_20221223 ),
ALLEXCEPT ( BASE_BANCO2_20221223, BASE_BANCO2_20221223[ID CLIENTE] )
),
0
)
Try
flag cliente =
DIVIDE (
1,
CALCULATE (
COUNTROWS ( BASE_BANCO2_20221223 ),
ALLEXCEPT ( BASE_BANCO2_20221223, BASE_BANCO2_20221223[ID CLIENTE] )
),
0
)
It worked!! but why can you explain what's the point of using countrows and using allexcept?
COUNTROWS is just a bit more optimised I think, so I tend to use that rather than COUNT.
The real key is the ALLEXCEPT. When you are creating a calculated column every column in the table is part of the filter, ALLEXCEPT removes the extra columns and you can just keep the columns that you need to be in the filter. This also helps to avoid circular dependency errors if you add multiple calculated columns to the same table.
Thanks for the solution and explanation!!
Join us in Barcelona for FabCon and SQLCon, the Fabric, Power BI, SQL, and AI community event. Save €200 with code FABCMTY200.
Join Fabric Data Days 2026: 60 days of free live/on-demand sessions, challenges, study groups, and certification opportunities.
| User | Count |
|---|---|
| 23 | |
| 23 | |
| 17 | |
| 13 | |
| 13 |
| User | Count |
|---|---|
| 63 | |
| 41 | |
| 39 | |
| 38 | |
| 38 |