The data this week comes from the schrute R package for The Office transcripts and data.world for IMDB ratings of each episode.
If you'd like to use the schrute R package for ALL the lines/dialogue from the show - please install it from CRAN via install.packages("schrute"). A quick example from the vignette can be found here.
If you want to do text analysis - make sure to check out the tidytext package - a vignette can be found here and the Tidy Text Mining with R book can be found freely online here.
Lastly - the pudding analyzed The Office dialogue across a few charts - their article is here.
# Get the Data
office_ratings <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2020/2020-03-17/office_ratings.csv')
# Or read in with tidytuesdayR package (https://github.com/thebioengineer/tidytuesdayR)
# PLEASE NOTE TO USE 2020 DATA YOU NEED TO USE tidytuesdayR version ? from GitHub
# Either ISO-8601 date or year/week works!
# Install via devtools::install_github("thebioengineer/tidytuesdayR")
tuesdata <- tidytuesdayR::tt_load('2020-03-17')
tuesdata <- tidytuesdayR::tt_load(2020, week = 12)
office_ratings <- tuesdata$office_ratings
| variable | class | description |
|---|---|---|
| season | double | Season number |
| episode | double | Episode number |
| title | character | Title of episode |
| imdb_rating | double | IMDB Rating (10 is best) |
| total_votes | double | Total votes by users |
| air_date | date | Original air date |
| variable | class | description |
|---|---|---|
| index | integer | Index |
| season | character | Season Number |
| episode | character | Season episode |
| episode_name | character | Episode title |
| director | character | Episode Director |
| writer | character | Episode Writer |
| character | character | Episode Character |
| text | character | Dialogue as text |
| text_w_direction | character | Dialogue as text with direction |
No cleaning this week!