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Charlie42
Frequent Visitor

Return the more repeated value into a column

Hello,

 

Is there a DAX function to get and return the more repeated value into a column ?

For example, I have MyTable with Country column like it:

France
France
England
England
England

 

I would like this function return me England.

 

Have you a solution ?

 

Thank in advance.

 

Charlie

1 ACCEPTED SOLUTION
Fowmy
Super User
Super User

@Charlie42 

Add a new table with the following code to get the country name that occurs the highest # of times. 

SELECTCOLUMNS(
	TOPN (
	    1,
	    ADDCOLUMNS ( ALL ( Table5[Country] ), "CC", CALCULATE ( COUNTROWS ( Table5 ) ) ),
	    [cc]
	),
	"Top Country", Table5[Country]
)


IF you want to add a column to the existing table, you can paste the same code into a new column:

Fowmy_0-1620493158095.png

 

 

 



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2 REPLIES 2
Fowmy
Super User
Super User

@Charlie42 

Add a new table with the following code to get the country name that occurs the highest # of times. 

SELECTCOLUMNS(
	TOPN (
	    1,
	    ADDCOLUMNS ( ALL ( Table5[Country] ), "CC", CALCULATE ( COUNTROWS ( Table5 ) ) ),
	    [cc]
	),
	"Top Country", Table5[Country]
)


IF you want to add a column to the existing table, you can paste the same code into a new column:

Fowmy_0-1620493158095.png

 

 

 



Did I answer your question? Mark my post as a solution! and hit thumbs up


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Website LinkedIn PBI User Group

Jihwan_Kim
Super User
Super User

Hi, @Charlie42 

I am not sure whether I understood your question correctly, but I assume you want to have a one-column table.

 

Please check the below picture and the formula that creates a new table.

 

Picture2.png

 

New Table =
VAR countingrows =
SUMMARIZE (
'Table',
'Table'[Column1],
"rowcount", CALCULATE ( COUNTROWS ( 'Table' ) )
)
VAR maxcountrows =
MAXX ( countingrows, [rowcount] )
VAR filteronlymaxcount =
FILTER ( countingrows, [rowcount] = maxcountrows )
RETURN
SUMMARIZE ( filteronlymaxcount, 'Table'[Column1] )

 

 

Hi, My name is Jihwan Kim.

 

If this post helps, then please consider accept it as the solution to help other members find it faster, and give a big thumbs up.

 

Linkedin: linkedin.com/in/jihwankim1975/

Twitter: twitter.com/Jihwan_JHKIM

If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.


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