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Doritito
New Member

Combine rows in Power BI (same column members but different values)

I would like to combine some rows in my PowerBI Query that have all the same members (e.g. 2022 / 2022/Q1 / 2022/1 / xx) but a different value for each line. The different value for each line is a result of excluding some columns that originally have been in the Query (there were columns like "material number" and "customer" that I did not need). All the Data is coming from an Oracle Database. How can I avoid having these many lines?

Edit: The Delivery Plant Column has the same value for each row (e.g. 8720), I just had to blur it.

 

 

Real Example of the Problem:

07BF4980-6CCC-48F2-A5C9-CFFEF6B5DC22.jpeg


Other examples:

1. How it looks when I pull the data from the datasource:

B7E25D38-CECE-457A-90E2-7E1FD8342318.jpeg

 

2. How it looks after removing the columns:

64299302-A116-464F-8AC0-6E881CC20825.jpeg

 

3. How I want the data to look:

80A9AB16-531C-4856-9B9E-5A73D145F881.jpeg

1 ACCEPTED SOLUTION
Doritito
New Member

Group by worked for me as solution.

View solution in original post

5 REPLIES 5
Doritito
New Member

Group by worked for me as solution.

VijayP
Super User
Super User

@Doritito 

Please watch this small video to understand how to get your answer 

https://drive.google.com/file/d/1749BiT-iGVsgx65506hEu2oW9j4Y9ga-/view?usp=share_link




Did I answer your question? Mark my post as a solution! Appreciate your Kudos!!
MY Blog || My YouTube Channel || Connect with me on Linkedin || My Latest Data Story - Ageing Analysis

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Dear @VijayP 

thanks so much for taking the effort and creating this video. This already helps me to see the data in a visualization the way that I want. But how can I see the data this way in the "Transform Data" view and avoid duplicated rows that just have different values directly when loading the data?

 

Thanks, Timo

VijayP
Super User
Super User

@Doritito 

Sample data with problem statement and what outcome you want to see as snapshot will help us to answer better




Did I answer your question? Mark my post as a solution! Appreciate your Kudos!!
MY Blog || My YouTube Channel || Connect with me on Linkedin || My Latest Data Story - Ageing Analysis

Proud to be a Super User!


Thanks for your answer @VijayP ! I modified my question, please have a look.

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