IMDB movies data
movies.RdMovie review data. Note: these data come from the Building Web Applications with shiny course.
Format
A data frame with 651 rows and 34 variables:
- title
movie title
- title_type
type, fct (Documentary, Feature Film, TV Movie)
- genre
movie genre, fct (Action & Adventure, Animation, etc.
- runtime
movie length in minutes, num, avg = 106, sd = 19.4
- mpaa_rating
movie rating, fct (G, NC-17, PG, PG-13, R, Unrated)
- studio
name of studio, chr
- thtr_rel_date
Theatre release date, POSIXct, min = 1970-05-19 21:00:00, max = 2014-12-24 21:00:00
- thtr_rel_year
Theatre release year, num, min = 1970, max = 2014
- thtr_rel_month
Theatre release month, num, min = 1, max =12
- thtr_rel_day
Theatre release day, num, min = 1, max =31
- dvd_rel_date
DVD release date, POSIXct, min = 1991-03-27 21:00:00, max = 2015-03-02 21:00:00
- dvd_rel_year
DVD release year, num, min = 1991, max = 2015
- dvd_rel_month
DVD release month, num, min = 1, max = 12
- dvd_rel_day
DVD release day, num, min = 1, max = 31
- imdb_rating
Internet movie database rating, avg = 6.49, sd = 1.08
- imdb_num_votes
Internet movie database votes, avg = 57533, sd = 112124
- critics_rating
Rotten tomatoes rating, fct (Certified Fresh, Fresh, Rotten)
- critics_score
Rotten tomatoes score, avg = 57.7, sd = 28.4
- audience_rating
Audience rating, fct (Spilled, Upright)
- audience_score
Audience score, avg = 62.4, sd = 20.2
- best_pic_nom
Best picture nomination, fct (no, yes)
- best_pic_win
Best picture win, fct (no, yes)
- best_actor_win
Best actor win, fct (no, yes)
- best_actress_win
Best actress win, fct (no, yes)
- best_dir_win
Best director win, fct (no, yes)
- top200_box
Top 20 box-office, fct (no, yes)
- director
Name of director, chr
- actor1
Name of leading actor, chr
- actor2
Name of supporting actor, chr
- actor3
Name of #3 actor, chr
- actor4
Name of #4 actor, chr
- actor5
Name of #5 actor, chr
- imdb_url
IMDB URL
- rt_url
Rotten tomatoes URL
Details
Read more about acquiring these data in the 'Web Scraping and programming' section of Data science in a box