Cinema Economics and Ratings Dataset

Columns

• Title: The name of the film, including the release year (e.g., Jurassic World (2015)).
• Domestic: Total earnings generated within the United States.
• International: Total earnings generated from markets outside the United States.
• Budget: The production cost of the film (note: approximately 32% of values are missing).
• Distributor: The company responsible for releasing the film (e.g., Warner Bros., Universal Pictures).
• MPAA-Rating: The age-appropriateness classification (e.g., PG-13, R).
• Runtime: The duration of the film in minutes.
• Genres: The categorisation of the film's style and content (e.g., Comedy;Drama;Romance).

Distribution

• Rows: 3,400 valid entries.
• Format: CSV (Attributes_DataFrame.csv).
• Completeness: 100% valid for Title, Domestic, International, Runtime, and Distributor; 32% missing data for Budget.

Usage

• Hype vs. Longevity Analysis: Investigating whether films with high opening earnings sustain their performance or drop off quickly.
• Marketing Effectiveness: Correlating budget and distributor influence with domestic and international returns.
• Sequel Performance: Comparing the financial trajectory of sequels against their predecessors.
• Time Series Forecasting: Using daily earnings and theatre counts to model future box office trends.

Coverage

• Temporal Range: The data spans the years 2000 to 2020.
• Geographic Scope: Includes specific financial data for the United States (Domestic) and aggregated Rest of World (International).
• Content: Covers 3,400 individual movies with a diverse range of genres and MPAA ratings.

License

Who Can Use It

• Film Industry Analysts: For assessing market trends and competitor performance.
• Data Scientists: For practicing time series analysis and regression modelling on real-world financial data.
• Marketing Strategists: For understanding the relationship between distribution power and box office revenue.
• Academic Researchers: For studying the economics of the entertainment industry.

Dataset Name Suggestions

• Global Cinema Earnings and Attributes (2000-2020)
• Box Office Mojo Daily & Meta Data
• Movie Financial Performance 2000-2020
• Cinema Economics and Ratings Dataset

Attributes