Hey All!
I am having issues joining two sets of data together. There is s single point of reference between the two sheets; but while one is consolidated into a single column, the other has the information spread across three columns.
I've tried different Join and Multi Join configurations but I seem to need three different Joins and a Union to get either partial results or with the Multi-Join I only seem to be getting Union results.
Below is some sample data the mimics the tables I'm trying to Join - I'm wanting to Join on the "Area" columns.
Multi-Column Reference
Record ID | Area 1 | Area 2 | Area 3 | Full Name | Address |
1 | 11111 | Adam Sample4 | 123 Street | ||
2 | 11116 | Gus Sample5 | 223 Street | ||
3 | 11112 | Dave Sample6 | 323 Street | ||
4 | 11113 | Steve Sample7 | 423 Blvds | ||
5 | 11114 | Herc Sample8 | 523 Blvds | ||
6 | 11115 | Medae Sample9 | 623 Street | ||
7 | 11117 | 11118 | Janice Sample11 | 723 Street | |
8 | 11119 | Nancy Sample3 | 823 Ave | ||
9 | 11120 | Bill Sample2 | 923 Ave | ||
10 | 11121 | 11122 | Zoe Sample1 | 1023 Ave |
Single Column Reference
Area | Unit | Unique Info |
11111 | 1203f4j8 | asdlgkfjfg |
11116 | 1m302askdnf0 | alskdgjn |
11112 | 1203f4j9 | skdfphjm |
11113 | 1m302askdnf1 | wpeorit |
11114 | 1203f4j10 | sldfjm |
11115 | 1m302askdnf2 | sldfmsdf |
11118 | 1203f4j11 | alksdjalksj |
11117 | 1m302askdnf3 | akdofmpg |
11119 | 1203f4j12 | apofdjkg |
11120 | 1m302askdnf4 | pzslfdaghl |
11122 | 1203f4j13 | apohekj |
11121 | 1m302askdnf5 | sipojfnmafds |
Let me know if that makes sense or if more clarification is needed 🙂
Attached as well are the two sample data files
Solved! Go to Solution.
Hi @Shaw_16 ,
It might help to consolidate all of these fields into a single field using Transpose, then join that back with your original dataset. From there you can join on that Area ID.
Hey kayers,
This would probably work if I had a smaller amount of rows - with the original docs one has nearly 10k lines, the other is 30k - 40k.
I forgot that Alteryx isn't unwieldy like excel is when moving around large amounts of data!
Tried this out and it solves the issues 🙂
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