This week's data is from the IMDB by way of Kaggle.
H/t to Georgios Karamanis for sharing the data this week.
Thrillist did a 75 Best Horror Movies of all Time article. There's also a Stephen Follows article about horror movies exploring data around profit, popularity and ratings.
Last year for Halloween we focused on Horror Movie Profit - feel free to take a peek at that data as well on our GitHub.
horror_movies <- readr::read_csv("https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2019/2019-10-22/horror_movies.csv")
| variable | class | description |
|---|---|---|
| title | character | Title of the movie |
| genres | character | Movie Generes |
| release_date | character | Movie release date - day-month-year |
| release_country | character | Release country |
| movie_rating | character | MPAA Rating |
| review_rating | double | Movie rating (0 - 10) |
| movie_run_time | character | Movie run time (minutes) |
| plot | character | Short plot description (raw text) |
| cast | character | Cast |
| language | character | Language |
| filming_locations | character | Filming location |
| budget | character | Budget (US Dollars) |