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Hi all,
I need to count rows in the table which is filtered only for top n most frequent categories.
I know how to get these categories:
TOPN (
5,
VALUES ( Table[Category Level 1] ),
RANKX( ALL( Table[Category Level 1] ),COUNTROWS(Table),,ASC)
)
But I don't know how to use this as i filter for CALCULATE(COUNTROWS(Table),..)
I was thinking about using IN operator and something like this:
CALCULATE(COUNTROWS(Table),FILTER(Table,Table[Category Level 1] IN CALCULATETABLE(TOPN (
5,
VALUES ( Table[Category Level 1] ),
RANKX( ALL( Table[Category Level 1] ),COUNTROWS(Table),,ASC)
))))
but it doesn't work.
Could someone help?
The solution without FILTER would be much appreciated because the table is quite huge and the FILTER function is incredibly slow.
Thanks a lot.
Solved! Go to Solution.
Hi, @soldous , a table itself can be used as filter in CALCULATE. You may want to try a measure in this pattern,
Measure =
VAR __topn =
TOPN (
5,
VALUES ( Table[Category Level 1] ),
RANKX ( ALL ( Table[Category Level 1] ), COUNTROWS ( Table ),, ASC )
)
RETURN
CALCULATE ( COUNTROWS ( Table ), __topn )
It's a general idea; you're supposed to base the measure on specific context of your data model.
Thanks to the great efforts by MS engineers to simplify syntax of DAX! Most beginners are SUCCESSFULLY MISLED to think that they could easily master DAX; but it turns out that the intricacy of the most frequently used RANKX() is still way beyond their comprehension! |
DAX is simple, but NOT EASY! |
Hi, @soldous , a table itself can be used as filter in CALCULATE. You may want to try a measure in this pattern,
Measure =
VAR __topn =
TOPN (
5,
VALUES ( Table[Category Level 1] ),
RANKX ( ALL ( Table[Category Level 1] ), COUNTROWS ( Table ),, ASC )
)
RETURN
CALCULATE ( COUNTROWS ( Table ), __topn )
It's a general idea; you're supposed to base the measure on specific context of your data model.
Thanks to the great efforts by MS engineers to simplify syntax of DAX! Most beginners are SUCCESSFULLY MISLED to think that they could easily master DAX; but it turns out that the intricacy of the most frequently used RANKX() is still way beyond their comprehension! |
DAX is simple, but NOT EASY! |
Is there a way to connect this to a slicer?
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