Combining two datasets based on two potential fields

jrtomici · January 31

Hi, I have two datasets. One has pacing data, the other has monthly data. All rows have unique IDs, however the pacing data may have either an ID from the old system (legacy ID) or the new system (new ID).

Pacing:

Monthly:

New ID    Legacy ID
10        1
11
12
13        2
14        3
15

How would I go about joining these two datasets based on either of the 2 IDs? The final dataset should be something like this:

ID        Legacy ID
10        1
11
12
13        2
14        3
15
4

I don't want any duplicates but I don't want any rows that only exist in one dataset to be excluded. Thank you!

MarkSnodgrass · January 31

You can use two join tiles and do an inner join on each. the first one joins ID → New ID and the 2nd join tile joins ID → Legacy ID. You would then use the append tile to bring the data together. Would look something like this:

MarkSnodgrass · January 31

You can use two join tiles and do an inner join on each. the first one joins ID → New ID and the 2nd join tile joins ID → Legacy ID. You would then use the append tile to bring the data together. Would look something like this:

jrtomici · January 31

Thank you—I was on the right track doing this, but how would I also include rows that are not in both datasets? @MarkSnodgrass

MarkSnodgrass · January 31

You might try changing the inner joins to left joins and then use a filter or remove duplicates tile to get to your desired result.

Combining two datasets based on two potential fields

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