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Anonymous
Not applicable

Fuzzy compare of rows

I have one table with rows I want to compare and group based on similairty,   for example rows 1,2,3 will be flagged as SAME.

 

# Name                          Address

1  Jon Smith                   New York 7th ave

2  Jon Smith                   NY 7th ave

3  Mr John Smith            NY 7th avenue

4  David Sh                     NY 7th avenue

 

I tried powerquery merge query, I choose the Name and address column MANY-MANY, and I got strange result with table column.  I guess dont know how to run and use it and also how to tweak specific workds etc

4 REPLIES 4
camargos88
Community Champion
Community Champion

Hi @Anonymous ,

 

Maybe the transformation table can help you with that.

I just tried:

 

Capture.PNG

Merge:

 

Capture.PNG

 

And got:

Capture.PNG

 



Did I answer your question? Mark my post as a solution!

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amitchandak
Super User
Super User

@Anonymous , refer if this can help

https://www.youtube.com/watch?v=I65YCrJWliw

https://www.poweredsolutions.co/2019/03/26/fuzzy-matching-in-power-bi-power-query/

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thanks, I read it. its great articles. but I still don't understand how to use it for my need. let me clarify the whole picture.

I have a table, and I try to check duplicate entries, but with fuzzy logic, if similar rows are identified as similar (for example, by comparing specific columns in fuzzy logic) then another column will be populated with a new id for all those similar rows.

If the above logic occurs, it is now easy to identify, report, and group by all similar rows.

Anonymous
Not applicable

thanks,  i read it. its great articles.  but still  dont understand how to use it for my need.  let me clarify the full picture.

I have one table, and I try to check duplicate entries,  but with fuzzy logic,  if similar rows identifies as similar (e.g. by comparing specific columns in fuzzy logic) then another column will be populated with a new ID for all those similar rows.  

If the logic above happen, its easy now identify , report and group by all similar rows.

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