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Hi Team,
I have these two tables:
| Product | Code | Date | Position | ID | Common Column |
| A | 1 | 6/3/2023 | 1 | 12 | A-1-6/3/2023-1-12 |
| C | 3 | 6/4/2023 | 2 | 13 | C-3-6/4/2023-3-32 |
| S | 2 | 6/5/2023 | r | 14 | S-2-6/5/2023-2-22 |
| Q | 1 | 6/6/2023 | 1 | 15 | F-1-6/6/2023-1-12 |
| D | 5 | 6/7/2023 | 2 | 16 | D-5-6/7/2023-5-52 |
| Product | Code | Date | Position | ID | Common Column |
| A | 1 | 6/3/2023 | 1 | 12 | A-1-6/3/2023-1-12 |
| C | 3 | 6/4/2023 | 2 | 13 | C-3-6/4/2023-3-32 |
| X | 2 | 6/5/2023 | r | 14 | X-2-6/5/2023-2-22 |
| Q | 1 | 6/6/2023 | 1 | 15 | Q-1-6/6/2023-1-12 |
| D | 5 | 6/7/2023 | 2 | 16 | D-5-6/7/2023-5-52 |
I want to find out the matching count by comparing the common columns, Could anyone help me with the above requirement, this is a mock data, but when i tried to create a relationship it comes as many to many, I am not sure how to move forward.
Thank you!
Hi AV_04
If the columns are same in both tables, you can merge the tables based on the "Product" which seems to be unique in each table.
You can go to "Transform Data" -> Under Home select "Merge Queries" and select as below:This produced me the desired output as below:
Hope this works for you!
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
4 Replies
Hi amitchandak could you please help me on this?
Hi AV_04
If the columns are same in both tables, you can merge the tables based on the "Product" which seems to be unique in each table.
You can go to "Transform Data" -> Under Home select "Merge Queries" and select as below:This produced me the desired output as below:
Hope this works for you!
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
