Joining 3 different datasets to match zip codes
Hi, I have 3 datasets each with a column containing zip codes. I want to use ETL to create a new dataset with 3 columns, all containing the zip codes from each input lined up.
Input:
Dataset 1 Dataset 2 Dataset 3 1 2 1 2 3 3 3 5 4 4 6 5
Output:
D1 D2 D3 1 1 2 2 3 3 3 4 4 5 5 6
Thank you
Best Answer
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You'll likely need to coalesce your dataset1 zip code and dataset2 zip code into a new field using a formula tile and then use that to join your dataset 3 zip code. This way it will pull in zip codes that don't exist in dataset1
COALESCE(`dataset1.zip`, `dataset2.zip`)
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Answers
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You can use two join tiles with a full outer join to do this. Join tables 1 and 2 together then join the output of that to table 3 via an outer join.
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What would the join key be for the second join tile?
0 -
You'll likely need to coalesce your dataset1 zip code and dataset2 zip code into a new field using a formula tile and then use that to join your dataset 3 zip code. This way it will pull in zip codes that don't exist in dataset1
COALESCE(`dataset1.zip`, `dataset2.zip`)
**Was this post helpful? Click Agree or Like below**
**Did this solve your problem? Accept it as a solution!**0 -
Incredibly helpful, thank you.
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