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.
Morning all,
I am hoping for a little help to convert the following formual to Dax or advice as this maybe easier utilising a calculated table?
Basically it is counting distinct values based on the date
=SUM(--(FREQUENCY(IF([@[Offer_Date]]=[Offer_Date], COUNTIF([Offer_Account], "<"&[Offer_Account]), ""), (COUNTIF([Offer_Account], "<"&[Offer_Account])))>0))
Any help would be greatly appreciated
Cheers
Solved! Go to Solution.
Found this in another topic and works great once adjusted for my table and column names
Measure 2 = var _table=SUMMARIZE('Table','Table'[Shop],'Table'[Date],"distinctcount",DISTINCTCOUNT('Table'[Customer])) return SUMX(_table,[distinctcount])
Found this in another topic and works great once adjusted for my table and column names
Measure 2 = var _table=SUMMARIZE('Table','Table'[Shop],'Table'[Date],"distinctcount",DISTINCTCOUNT('Table'[Customer])) return SUMX(_table,[distinctcount])
Post a small copiable dataset together with expected results.
Regards
Perhaps this measure:
MyMeasure =
CALCULATE(
DISTINCTCOUNT( 'Table'[Offer_Account] ),
ALLEXCEPT( 'Table', 'Table'[Offer_Date] )
)
Regards
Thank you but that seems to be counting Distinct Accounts only....if the account appears on different days i need it to count both instances
hope that makes sense
But unless I'm mistaken your Excel formula is not doing that - the part
IF([@[Offer_Date]]=[Offer_Date],...
means that the counts will be for a given date only.
Regards
Check out the July 2025 Power BI update to learn about new features.
User | Count |
---|---|
22 | |
7 | |
6 | |
6 | |
6 |
User | Count |
---|---|
27 | |
10 | |
10 | |
9 | |
6 |