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atahancelik
Frequent Visitor

Filtering using "in" between two linked tables in Dax

I have two tables named qoutes and sales and these two tables are associated with customerid. I want to count the records in my Qoutes table by grouping them by month and day, but while doing this, I want to count only the values ​​of customer IDs with GP > 0 in the sales table. In other words, I want to filter the customerid values returned from another table by using "in" in a calculate query in which I use the Countrows function. Thanks in advance 🙂
CALCULATE (
    COUNTROWS('Qoutes'),
    RELATEDTABLE('Sales'),
    'Sales'[GP] > 0,
    'Sales'[customerid] IN VALUES('Qoutes'[customerid]),
    VALUES('Qoutes'[Month]),
    VALUES('Qoutes'[Day])
)

There are 15 customerids in the Sales Table in the given date range, but there are 10 customerids with Gp > 0. I want to count the values ​​of these 10 customerids in my Qoutes table.

1 ACCEPTED SOLUTION
Greg_Deckler
Community Champion
Community Champion

@atahancelik Sample data would help make this clearer. Put Month and Day into a visual as an adhoc hierarchy. Then maybe a measure like this:

Measure = 
  VAR __Customers = DISTINCT(SELECTCOLUMNS(FILTER('Sales', [GP] > 0), "__CustID", [customerid]))
  VAR __Result = COUNTROWS(FILTER('Quotes', [customerid] IN __Customers))
RETURN
  __Result


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2 REPLIES 2
Greg_Deckler
Community Champion
Community Champion

@atahancelik Sample data would help make this clearer. Put Month and Day into a visual as an adhoc hierarchy. Then maybe a measure like this:

Measure = 
  VAR __Customers = DISTINCT(SELECTCOLUMNS(FILTER('Sales', [GP] > 0), "__CustID", [customerid]))
  VAR __Result = COUNTROWS(FILTER('Quotes', [customerid] IN __Customers))
RETURN
  __Result


Follow on LinkedIn
@ me in replies or I'll lose your thread!!!
Instead of a Kudo, please vote for this idea
Become an expert!: Enterprise DNA
External Tools: MSHGQM
YouTube Channel!: Microsoft Hates Greg
Latest book!:
DAX For Humans

DAX is easy, CALCULATE makes DAX hard...

thank you

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