Unnest PatentsView data — unnest_pv

This function converts a single data frame that has subentity-level list columns in it into multiple data frames, one for each entity/subentity. The multiple data frames can be merged together using the primary key variable specified by the user (see the relational data chapter in "R for Data Science" for an in-depth introduction to joining tabular data).

Usage

unnest_pv_data(data, pk = lifecycle::deprecated())

Arguments

data: The data returned by search_pv. This is the first element of the three-element result object you got back from search_pv. It should be a list of length 1, with one data frame inside it. See examples.
pk: . should be the unique identifier for the primary entity. For example, if you used the patent endpoint in your call to search_pv, you could specify pk = "patent_id". This identifier has to have been included in your fields vector when you called search_pv. You can use get_ok_pk to suggest a potential primary key for your data.

Value

A list with multiple data frames, one for each entity/subentity. Each data frame will have the pk column in it, so you can link the tables together as needed.

Examples

if (FALSE) {

fields <- c(
  "patent_id", "patent_title",
  "inventors.inventor_city", "inventors.inventor_country"
)
res <- search_pv(query = '{"_gte":{"patent_year":2015}}', fields = fields)
unnest_pv_data(data = res$data)
}