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Anonymous
Not applicable

Look-up string and replace with specified string

Hello all,

 

I have data of company names ( over 200 rows) and some company names show up multiple times but as with a slightly different name as subsidiaries. For example, "company A", "company A Power" , "company A Electric". 

I'm looking to create a new custom column that classifies each company (using a list of names that are on a hard copy) as either End User or Stakeholder. So if company A is an End User then all rows "company A", "company A Power" , "company A Electric" should be replaced with "End User". Any hints would be very helpful!

 

Thank you,

Bogdan

1 ACCEPTED SOLUTION

Hi,

Splitting is then defeinitely not going to works for you.  Create a seperate 2 column Table with Company Names in column1 and Type in column2.  Create a relationship between the 2 and write a RELATED() function to bring over data from column2 into Table1.


Regards,
Ashish Mathur
http://www.ashishmathur.com
https://www.linkedin.com/in/excelenthusiasts/

View solution in original post

3 REPLIES 3
jthomson
Solution Sage
Solution Sage

Rather than look up and replace, is your data in a state whereby you could split your current column in some way to get rid of the last word, then join in your external list?

Anonymous
Not applicable

@jthomson I am able to split the column with a space delimiter and simplify the formula (eg. "CompanyA Power" and CompanyA Gas" both become "CompanyA" which then I can write an IF statement IF(Table1[Counterparties] = "CompanyA", "End User", IF(....
I considered writing nested IF statements to do it for all 260 counterparties, but the issue is sometimes CompanyA Power is an End User, but CompanyA Gas is a Marketer or Unknown. So overall splitting is a good strategy, but might work 100% of the time.

Hi,

Splitting is then defeinitely not going to works for you.  Create a seperate 2 column Table with Company Names in column1 and Type in column2.  Create a relationship between the 2 and write a RELATED() function to bring over data from column2 into Table1.


Regards,
Ashish Mathur
http://www.ashishmathur.com
https://www.linkedin.com/in/excelenthusiasts/

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