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Hi Jeremy, I'd love to see a more in-depth vignette. I've got highly complex jsons with variable structure to parse, and I think tidyjson could be a lot of help. Unfortunately, the examples I see are not enough for me to understand how to use the 'verbs' of tidyjson. I'd love to see an example, starting with reading a json from file, examining its structure, and looping (or not) through it to return a nice, tidy table.
The goal of this vignette is to cover the details of how to ensure tidyjson always returns the correct data frame structure (e.g., using spread_all vs spread_values), and how to throw meaningful errors when future JSON inputs don't conform to your expectations.
Should:
spread_values
versusspread_all
is_json_X
functions to check inputsThe text was updated successfully, but these errors were encountered: