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Hello, I would like to count the users that made at least one sale among different products. The problem is those products are on different tables, so I would like somethink like
CALCULATE(
COUNT(user[id]),
FILTER(TABLE1, COUNT(sales1[id])>0) OR
FILTER(TABLE2, COUNT(sales2[id])>0) OR
FILTER(TABLE3, COUNT(sales3[id])>0)
)
But of course this won't work, but I hope the logic is clear
Solved! Go to Solution.
Hi, @fabiomanniti
Please try measure as below:
Result =
CALCULATE (
COUNT ( User[UserID] ),
FILTER (
User,
User[UserID]
IN VALUES ( sales1[userID] )
|| User[UserID]
IN VALUES ( sales2[UserID] )
|| User[UserID] IN VALUES ( sales3[UserID] )
)
)
Please check my sample file for more details.
Best Regards,
Community Support Team _ Eason
Can you try it using || instread of OR
CALCULATE(
COUNT(user[id]),
FILTER (
TABLE1, COUNT(sales1[id])>0) ||
TABLE2, COUNT(sales2[id])>0) ||
TABLE3, COUNT(sales3[id])>0)
)
Doesn't work.
For the way the function FILTER is made you have to chose only one table
Hi, @fabiomanniti
Please try measure as below:
Result =
CALCULATE (
COUNT ( User[UserID] ),
FILTER (
User,
User[UserID]
IN VALUES ( sales1[userID] )
|| User[UserID]
IN VALUES ( sales2[UserID] )
|| User[UserID] IN VALUES ( sales3[UserID] )
)
)
Please check my sample file for more details.
Best Regards,
Community Support Team _ Eason
Yep I see your issue now.
Possibly you could create a custom table (using CALCULATETABLE) and bring in all the elements you need from the 3 tables, then use the formula from above based on the new custom table.
I think you would need relationships between the tables for this to work: -
_calcTable =
VAR _altTable =
CALCULATETABLE (
SUMMARIZE (
TABLE1,
TABLE1[sales1[id]]
TABLE2[sales2[id]]
TABLE3[sales3[id]]
)
)
RETURN
_altTable
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