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Combine 2 different tables and get intersecting rows

Hi,

 

I have 2 tables (Table 1 and Table 2) and want to create a Table 3 with columns as follows:

Table 1:

1.PNG

 

Table 2:

2.PNG

 

Table 3:

3.PNG

 

Table 1 and table 2 have different number of rows. I want to join table 1 and table 2 using DAX, as both are calculated tables so they will not show up in Query Editor, and create table 3 with columns as shown in above image which will contain the intersecting rows based on common columns like Brand, Customer Type and Country. The data types of all columns in both table 1 and table 2 is the same.

 

I would appreciate any help regarding this matter and if you need any extra information, do let me know.

2 ACCEPTED SOLUTIONS
parry2k
Super User
Super User

@commonsenseuser you don't need 3rd table, just create a surrogate key by combining 3 columns in both the tables and set the relationship between these table on this new key, and from there you can use these into any visuals,  as a best practice, it would make sense to add 3 dimension tables like brand, customer type, and country and have a relationship of these 3 dimension tables with your table 1 and table 2, and from there everything will be super easy to analyze.

 

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View solution in original post

v-lionel-msft
Community Support
Community Support

Hi @commonsenseuser ,

 

Please do like this.

1. Create a calculated table.

Table 3 = 'Table 1'

2. Create a calculated column in 'Table 3'.

Brand Awareness = 
LOOKUPVALUE(
    'Table 2'[Brand Awareness],
    'Table 2'[Brand], 'Table 3'[Brand],
    'Table 2'[Customer Type], 'Table 3'[Customer Type],
    'Table 2'[Country], 'Table 3'[Country]
)

ggg1.PNG

 

Best regards,
Lionel Chen

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

 

View solution in original post

3 REPLIES 3
lbendlin
Super User
Super User

You don't specify where you want to do the combination.

 

Power Query has an extremely powerful function called Table.Combine that does everything you want automatically.

v-lionel-msft
Community Support
Community Support

Hi @commonsenseuser ,

 

Please do like this.

1. Create a calculated table.

Table 3 = 'Table 1'

2. Create a calculated column in 'Table 3'.

Brand Awareness = 
LOOKUPVALUE(
    'Table 2'[Brand Awareness],
    'Table 2'[Brand], 'Table 3'[Brand],
    'Table 2'[Customer Type], 'Table 3'[Customer Type],
    'Table 2'[Country], 'Table 3'[Country]
)

ggg1.PNG

 

Best regards,
Lionel Chen

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

 

parry2k
Super User
Super User

@commonsenseuser you don't need 3rd table, just create a surrogate key by combining 3 columns in both the tables and set the relationship between these table on this new key, and from there you can use these into any visuals,  as a best practice, it would make sense to add 3 dimension tables like brand, customer type, and country and have a relationship of these 3 dimension tables with your table 1 and table 2, and from there everything will be super easy to analyze.

 

I would  Kudos if my solution helped. 👉 If you can spend time posting the question, you can also make efforts to give Kudos whoever helped to solve your problem. It is a token of appreciation!

Visit us at https://perytus.com, your one-stop shop for Power BI related projects/training/consultancy.



Subscribe to the @PowerBIHowTo YT channel for an upcoming video on List and Record functions in Power Query!!

Learn Power BI and Fabric - subscribe to our YT channel - Click here: @PowerBIHowTo

If my solution proved useful, I'd be delighted to receive Kudos. When you put effort into asking a question, it's equally thoughtful to acknowledge and give Kudos to the individual who helped you solve the problem. It's a small gesture that shows appreciation and encouragement! ❤


Did I answer your question? Mark my post as a solution. Proud to be a Super User! Appreciate your Kudos 🙂
Feel free to email me with any of your BI needs.

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