Unnest keyword values from nested df

Source: R/04-unnest-df.R

Up until now, each row is an article with keywords stored as a nested dataframe. Unnesting keywords makes it easier to wrangle those values. This function also writes out a file of keyword values to be used as input to the lookup table shiny app and creates a folder for replacements. After running this function, run nyt_run_example("lookup_table_app"). Upload the file in the "values_input_folder". Place the output in the folder "values_output_folder".

nyt_unnest_df(
  nested_df,
  max_keyword_length = 200,
  values_input_folder = "values_lookup_input",
  values_output_folder = "renamed_values"
)

Arguments

nested_df

output from nyt_clean_news_desks()
max_keyword_length

somewhat arbitrarily set to 200 for long strings that aren't really keywords
values_input_folder

folder name to write keyword values pre-cleaning
values_output_folder

folder to find keyword values post-cleaning

Value

unnested data frame where each row is a keyword in an article instead of each row being an article

Examples

if (FALSE) {
unnested_df <- nyt_unnest_df(nested_df)
}