Clean (and augment) rtweet data.frame

Munge an rtweet data.frame (according to personal preferences) for subsequent analysis.

clean_tweets_at(data = NULL, facet = NULL, trim = TRUE,
  cols = c("status_id", "created_at", "user_id", "screen_name", "text",
  "display_text_width", "reply_to_status_id", "is_quote", "is_retweet",
  "favorite_count", "retweet_count", "hashtags", "symbols", "urls_url",
  "urls_expanded_url", "media_expanded_url", "ext_media_expanded_url"),
  timezone = "America/Chicago")

clean_tweets(..., facet)

Arguments

data	data.frame (created using rtweet package).
facet	bare for NSE; character for SE. Name of column in data used for facetting. Set to NULL as default even though it is not required in order to simplify internal code. Included in cols if trim = TRUE.
trim	logical. Indicates whether or not to select only certain columns (and drop the others).
cols	character (vector). Name(s) of column(s) in data to keep. Only relevant if trim = TRUE.
timezone	character. Passed directly to lubridate::with_tz() as tzone parameter.
...	dots. Additional paramaters.

Value

data.frame.

Details

Converts nested lists to character(s). Adds a timestamp column that is derived from the created_at column. Also, adds a time column that represents the hour in the day of created_at.

See also

https://juliasilge.com/blog/ten-thousand-data/. https://buzzfeednews.github.io/2018-01-trump-twitter-wars/.