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I have two tables that unfortunately are not in a database environment or this would be simple and I'd exploit a cartesian product to get what I need
T1
Year|Region|Growth
2023|A|50
2023|B|80
....
2024|A|100
2024|B|200
T2
Year|Week|WK_ID
2023|1|202301
2023|2|202302
....
2024|51|202451
2024|52|202452
Many:Many on the Year field
Desired Output
WKID|Region|Growth
202301|A|50
202302|A|50
202303|A|50
Any ideas?
Solved! Go to Solution.
Hello nrichards_au,
Can you use power query to do this instead of DAX? If so, you should be able to merge the two tables, joining on the year column.
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P.S. Need a more in-depth consultation for your Power BI data modeling or DAX issues? Feel free to hire me on Upwork or DM me directly on here! I would love to clear up your Power BI headaches.
Proud to be a Super User! | |
Hello nrichards_au,
Can you use power query to do this instead of DAX? If so, you should be able to merge the two tables, joining on the year column.
----------------------------------
If this post helps, please consider accepting it as the solution to help other members find it quickly. Also, don't forget to hit that thumbs up and subscribe! (Oh, uh, wrong platform?)
P.S. Need a more in-depth consultation for your Power BI data modeling or DAX issues? Feel free to hire me on Upwork or DM me directly on here! I would love to clear up your Power BI headaches.
Proud to be a Super User! | |
Just implemented this about 15 mins prior to your post. I had totally forgotten about the join functions of PQ and happened to be in the load editor and saw the icon.
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