nyt_unnest_df: Unnest keyword values from nested df

In seanangio/nytindia: Prepare and visualize India-tagged data from the NYT Article Search API

Description

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".

Usage

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

## Not run: 
unnested_df <- nyt_unnest_df(nested_df)

## End(Not run)

seanangio/nytindia documentation built on Dec. 22, 2021, 11:15 p.m.