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The OP has stated to prefer a “tidyverse” solution. AL Alabama 2: AZ Arizona 4: Picking up Alistaire’s and Nettle’s suggestions and transforming into a working solution.
The basic functionality is built defined in coalescethough, which can be applied programmatically if you don’t want to specify lots of column names.
AK Alaska 3: Sign up using Email and Password. If the lookup table is more than two columns, it’s an update join, which doesn’t exist in dplyr for now. This question marked as duplicate, though link does not go to tidy solution.
Sign up or log in Sign up using Google. DE Delaware 9: Similar questions do not seem to have tidy solutions. CA California 6: If you’ve got a lot of columns, you can coalesce programmatically, or even put it in a function. Post as a guest Name.
r – Update/Replace Values in Dataframe with Tidyverse Join – Stack Overflow
Aar, update joins are already available with the data.
CO Colorado 7: