Power BI is turning 10! Tune in for a special live episode on July 24 with behind-the-scenes stories, product evolution highlights, and a sneak peek at what’s in store for the future.
Save the dateEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends August 31st. Request your voucher.
i want in this table to count the customers that belong only to category a but not in other
result should be 3 (customer 2,3,5)
customer | category |
1 | a |
1 | b |
2 | a |
3 | a |
4 | a |
4 | b |
5 | a |
i used this function
onlycategorya:=CALCULATE (DISTINCTCOUNT (table[customer] );FILTER(VALUES(table[customer]);AND (CALCULATE ( HASONEVALUE (table[customer]));FIRSTNONBLANK(table[customer];0)="a")))
and it works but it is really slow in large dataset (20million rows)
any other ideas about optimizing this?
Solved! Go to Solution.
Hi @giorgiokatr
Sorry I missed the "a" in your post
Revised MEasure
MEASURE = COUNTROWS ( FILTER ( SUMMARIZE ( 'Table', 'Table'[customer], "MyCount", DISTINCTCOUNT ( 'Table'[category] ), "Belong to Category A", IF ( CALCULATE ( COUNT ( 'Table'[category] ), 'Table'[category] = "A" ) > 0, "Yes", "No" ) ), [MyCount] = 1 && [Belong to Category A] = "Yes" ) )
HI @giorgiokatr
Try this MEASURE. See if its faster
MEASURE = COUNTROWS ( FILTER ( SUMMARIZE ( 'Table', 'Table'[customer], "MyCount", DISTINCTCOUNT ( 'Table'[category] ) ), [MyCount] = 1 ) )
thanks @Zubair_Muhammad its perfect but there are many categories in dataset so i would like to have the category a forx example as filter and not only the customers in one category (any one)
Hi @giorgiokatr
Sorry I missed the "a" in your post
Revised MEasure
MEASURE = COUNTROWS ( FILTER ( SUMMARIZE ( 'Table', 'Table'[customer], "MyCount", DISTINCTCOUNT ( 'Table'[category] ), "Belong to Category A", IF ( CALCULATE ( COUNT ( 'Table'[category] ), 'Table'[category] = "A" ) > 0, "Yes", "No" ) ), [MyCount] = 1 && [Belong to Category A] = "Yes" ) )
Check out the July 2025 Power BI update to learn about new features.
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
User | Count |
---|---|
70 | |
68 | |
43 | |
34 | |
26 |
User | Count |
---|---|
86 | |
50 | |
45 | |
38 | |
38 |