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Anonymous
Not applicable

How to group/combine row definition into a specific category

Hello Experts,

 

I need to group/combine row variables into a specific category type. For example;

 

I have a column called industry category where I have row variables captured as "Supermarket/Supermarkets/SuperMkts" for three different businesses. But they are part of the same industry type. I would like to group them as "Supermarkets" so that I can visualise my data in the correct format. Now I can group them by right-clicking on the column and select "New Group". It's a cumbersome task when I need to do a similar exercise for 20k line items. I was wondering if there is a way to automate this process by writing a dax code or in power query! 

 

I am unable to find a solution. It would be great if you could help me with this.

 

Thanks in advance

 

Regards

ronie

1 ACCEPTED SOLUTION

Hi @Anonymous 

Bestway is create lookup table like below  and create calculated column

In future if you want to add new values, you can simply update this lookup table.

gvrajesh_0-1614941722112.png

Create calculate column

gvrajesh_1-1614941800261.png

 

 

View solution in original post

3 REPLIES 3
gvrajesh
Frequent Visitor

Hi @Anonymous 

You can create a calcualted column like below

gvrajesh_0-1614912506099.png

 

Anonymous
Not applicable

Hello @gvrajesh,

 

Thank you for your reply. I can certainly apply your logic to search a specific keyword. Unfortunately, I have plenty to look for. Can I add multiple search rules in single containsstring function? I was thinking of this way; 

CONTAINSSTRING('table name1'[column1],"Accomodation") || CONTAINSSTRING('table name1'[column1],"Apartments"), "Accomodation")
 
I need to add few more keywords. Is there a better way to implement it?
 
Thanks
 

Hi @Anonymous 

Bestway is create lookup table like below  and create calculated column

In future if you want to add new values, you can simply update this lookup table.

gvrajesh_0-1614941722112.png

Create calculate column

gvrajesh_1-1614941800261.png

 

 

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