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Hello everyone,
I have a problem that needs to be solved. I need to be able to compare two columns in two different tables and see if there are similar strings within those two columns. So for example if I would like to compare a list of my friends to the most wanted lists of the FBI, I could do that.
So the pseudo code would look something like this:
For name in name_column in myfriends_table:
Compare the similarities of every name in myfriends[name_column] to the FBI's most wanted list name_column
return values that have similarities over 40%
Below I have a demonstration for my issue.
My Friends
| Name |
TJ Watt |
| Minkah Fitz |
| Juju Smith-Schuster |
| Big Ben Roeth |
FBI's Most Wanted
| Name |
| TJ Hatt |
| Juju Smith-Schuster |
| Juju Smith |
| Cam Heyward |
| Big Ben Roeth |
Results table
| My Friends Name | FBI's Most Wanted Name | Similarity |
TJ Watt | TJ Hatt | 83,333% |
| Juju Smith-Schuster | Juju Smith-Schuster | 100% |
| Juju Smith-Schuster | Juju Smith | 46,67% |
| Big Ben Roeth | Big Ben Roeth | 100% |
Is it possible in dax?
Kind regards,
Jeppe
Solved! Go to Solution.
Hi @Anonymous ,
You'd better first create a summarized table such as below:
As if you directly compare the characters from 2 tables,the calculation would be created in the table below:
After you get a summerized table,you could refer to below similar thread to realize what you need.
https://community.phttpsi.com/t5/Deskpowerbipare-t5o-strings-for-similarity/m-p/290062
Best Regards,
Kelly
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Saludos
Kelly
Have I answered your question? Mark my position as a solution!
Have you checked my answer? Is your problem solved?
Saludos
Kelly
Have I answered your question? Mark my position as a solution!
Hi @Anonymous ,
You'd better first create a summarized table such as below:
As if you directly compare the characters from 2 tables,the calculation would be created in the table below:
After you get a summerized table,you could refer to below similar thread to realize what you need.
https://community.phttpsi.com/t5/Deskpowerbipare-t5o-strings-for-similarity/m-p/290062
Best Regards,
Kelly
Did I answer your question? Mark my post as a solution!