Movie Industry Dataset

Dataset Overview

• Total Movies: 6,820 movies (average 220 per year)
• Time Span: 1986-2016
• Key Focus Areas: Revenue analysis, genre trends, user ratings, and the impact of industry shifts like digital streaming services.

Dataset Attributes:

1. Budget: The reported budget for each film. Note that some records may show a budget of $0 where no information is available.
2. Production Company: The studio or production company responsible for making the movie.
3. Country of Origin: The country where the movie was primarily produced.
4. Director: The director of the movie.
5. Genre: The main genre, including options such as Drama, Comedy, Action, etc.
6. Gross Revenue: Total box office revenue generated by the movie.
7. Movie Title: The name of the movie.
8. Rating: Movie rating categories (R, PG-13, etc.).
9. Release Date: The date the movie was first released (formatted as YYYY-MM-DD).
10. Runtime: The total runtime of the movie in minutes.
11. IMDb Score: User-generated rating on IMDb, on a scale of 1 to 10.
12. Number of Votes: Total number of votes cast by users on IMDb.
13. Lead Actor/Actress: The top-billed star in the movie.

Potential Use Cases:

• Revenue Analysis: Analyze trends in how movie budgets correlate with box office returns and streaming revenue.
• Genre Exploration: Understand which genres performed best over time and how user ratings for specific genres have shifted.
• Franchise Success: Identify patterns in the success of movie franchises, including how they dominate or change in market share.
• Impact of Streaming: Explore how the rise of streaming services affected traditional box office revenue and movie ratings.
• Marketing Impact: Compare marketing spend against revenue and see how effectively movies convert advertising dollars into box office success.

Conclusion:

This dataset provides a comprehensive tool for researchers, analysts, and entertainment industry professionals to explore the evolution of the movie industry, particularly in relation to revenue generation, changing consumer preferences, and the rise of digital platforms. It is highly valuable for answering specific questions related to both traditional and modern film consumption patterns.