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Anonymous
Not applicable

Data Transformation

I have a table of thousands of records with the only 'unique' identifier being the company id. I am trying to merge this table with another table with the same company ID's, but I cannot because my CService dataset contains some company ID's more than once due to a company being able to have multiple services, service levels, start/end dates. Still confused on this because regardless it's still a unique identifier... Anyways, how I can transform or set up my data so regardless of the number of things these companies have, I can view everything as a single company? Here is a screenshot of what I mean:

 

1.PNG

1 ACCEPTED SOLUTION
v-yulgu-msft
Microsoft Employee
Microsoft Employee

Hi @Anonymous,

 

You can add an index column to work as unique identifier. Alternatively, since a single column cannot identify records uniquely, you can combine two or more columns to generate a unique column. For example, Column=[service]&[co], "CBIZ EMS 16242" and "Payroll 16242".

 

Regards,

Yuliana Gu

Community Support Team _ Yuliana Gu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

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1 REPLY 1
v-yulgu-msft
Microsoft Employee
Microsoft Employee

Hi @Anonymous,

 

You can add an index column to work as unique identifier. Alternatively, since a single column cannot identify records uniquely, you can combine two or more columns to generate a unique column. For example, Column=[service]&[co], "CBIZ EMS 16242" and "Payroll 16242".

 

Regards,

Yuliana Gu

Community Support Team _ Yuliana Gu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

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