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Anonymous
Not applicable

Return Non-Blank Values From Multiple Columns With Delimiters

I have the following table:

 

ID

DogCatPigHorseCowSheep

1

Dog     
2 Cat   Sheep
3      
4  PigHorseCow 

 

I'm trying to create a calculated column that would populate a string based on the non-blank values of EACH of the six columns with a ", " delimiter. The results from above would be:

 

IDAnimals
1Dog
2Cat, Sheep
3None
4Pig, Horse, Cow

 

I've tried doing nested CONCATENATE and IF statements, but the string separation is the most difficult part. Essentially, I'm looking for something akin to TEXTJOIN from Excel. Anyone point me in the right direction?

 

This is a created table within my model, so I unfortuantely can't use any of the M table.join functions to help.

1 ACCEPTED SOLUTION
Greg_Deckler
Super User
Super User

So like this?

 

TextJoin = 
  VAR __Table = { [Dog], [Cat], [Pig], [Horse], [Cow], [Sheep] }
RETURN
  CONCATENATEX(
      FILTER(__Table,[Value]<>""),
      [Value],
      ","
  )

 

PBIX attached.


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View solution in original post

4 REPLIES 4
Greg_Deckler
Super User
Super User

So like this?

 

TextJoin = 
  VAR __Table = { [Dog], [Cat], [Pig], [Horse], [Cow], [Sheep] }
RETURN
  CONCATENATEX(
      FILTER(__Table,[Value]<>""),
      [Value],
      ","
  )

 

PBIX attached.


@ 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!:
Mastering Power BI 2nd Edition

DAX is easy, CALCULATE makes DAX hard...

Hi @Greg_Deckler great solution, 

just a question, is possible count the words in this column?
For exemple:
TextJoin            Count

Dog1
Cat,Sheep2
 0
 0
Pig,Horse,Cow3

 

Thank you so much.

Hi @Greg_Deckler ,

I have similiar issues here, the different is I am using direct query mode and "concanatex" is not support direct query.
it is possible to it in "Measure" ? your support will be really appreciated.

Tahnk you.

Anonymous
Not applicable

Thanks Greg! Worked like a charm.

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