Data sets shared by StatCrunch members
Showing 1 to 3 of 3 data sets matching director
Data Set/Description |
Owner |
Last edited |
Size |
Views |
Movie Budgets and Box Office Earnings (Updated Spring 2018)
This data all comes from the following website the tracks the financial performance of movies:
http://www.the-numbers.com/movie/budgets/all
The “Budget”, “Domestic Gross”, and “Worldwide Gross” columns each are in millions of dollars. | statcrunch_featured | Oct 4, 2018 | 270KB | 18172 | CAP 3CSN Movie Data
Title: Movie title
Year: Year movie was released
Studio: Studios categorized as Big6 or Other
Studio Name: Name of studio producing the movie
Genre: Action/Adventure or Other
Budget: Movie budget in millions of dollars
US Box Office: total box office sales in millions of dollars
Opening Week: box office sales for opening week in millions of dollars
Movie Length: length of movie in minutes
Trailer Length: length of advertising trailer in seconds
Director: Name of the movie’s director
Director Gender: male or female
Director Race: W (white) or POC (person of color)
Star: Name of the movie’s lead star
Star Gender: male or female
Star Race: W (white) or POC (person of color)
Costar: Name of the movie’s main costar
Costar Gender: male or female
Costar Race: W (white) or POC (person of color)
IMDb_Rating: Average IMDb user rating on a scale of 1-10
Metascore: Score out of 100, based on major critic reviews as provided by Metacritic.com
Metacriticcom_rating: Number of critic reviews used to calculate the Metascore
Rotten_Tomatoes: Score out of 100, based on authors from writing guilds or film critic associations
Number of Oscars: number of Oscars won by the movie
Oscar Nominations: number of Oscar nominations for the movie
Oscar Winner: whether the movie won an Oscar (yes or no) | alysonbutcher | Sep 5, 2013 | 12KB | 576 | Claudia_Gaylord_Movie_Data (1).csv
I did my data on movies made from 2012- 2017 and 5 different genres for movies. The numerical variables in my data would be rotten tomatoes reviews(how well they are liked) and the length of movies. The categorical variables would be the gender of director, the genre (comedy, science fiction, romance, horror, and action) and the years the movies were made (2012-2017). I chose to do movies because I enjoy all these types of movies and thought it would be interesting. | claudmg | May 22, 2018 | 1KB | 36 |
|