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memoalkatib1
Frequent Visitor

RANKX measure for each group

I have a live connection to a "locked" dataset that sits on top of a SSAS model. so I can only create measures. I have a table that has a bunch of columns including CustomerID , ProductID and Date Purchased along with 20 other columns. I would like to rank by customerID, Product ID based on Date Purchased Descending. This would repeat for each customer & productID . I need this done by a calculated measure that must be compatible with Direct Query/ Live Connection. 

here how I am picturing the ranking to apply (I'm not displaying this data like this on a visual/dashboard)

Ex : 

 

CustomerID    ProductID      Date Purchased    Rank
1234                       1                 1-1-2023           1
1234                        1                 1-1-2022          2
1234                        2                 1-1-2019          1
3456                        1                 1-1-2020          1
3456                        1                 1-1-2018          2
3456                        6                 1-1-2020          1

1 ACCEPTED SOLUTION
DAXDigger
Regular Visitor

@memoalkatib1 please try below measure

Rankx = RANKX(FILTER(ALL('Table'),'Table'[CustomerID] = MAX('Table'[CustomerID]) && 'Table'[ProductID] = MAX('Table'[ProductID])),CALCULATE(MAX('Table'[Date Purchased])),,DESC)

 

DAXDigger_0-1678424737225.png

 

View solution in original post

2 REPLIES 2
memoalkatib1
Frequent Visitor

Thanks @DAXDigger . but the syntax for the code has multiple errors. I also think based off reading the code it'sef that the rating does not repeat for each customer+Product ID. also are you able why you're using max function ? 

DAXDigger
Regular Visitor

@memoalkatib1 please try below measure

Rankx = RANKX(FILTER(ALL('Table'),'Table'[CustomerID] = MAX('Table'[CustomerID]) && 'Table'[ProductID] = MAX('Table'[ProductID])),CALCULATE(MAX('Table'[Date Purchased])),,DESC)

 

DAXDigger_0-1678424737225.png

 

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