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Movie Statistic
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About
This dataset provides detailed movie statistics sourced from Wikipedia, The Numbers, and IMDb. It contains information on movie titles, production dates, genres, runtime, director details, average ratings, approval indices, production budgets, and box office earnings. The dataset allows for in-depth analysis of various aspects of the movie industry, offering valuable insights for research, predictive modeling, and visualization.
Dataset Features:
- M_ID: Unique identifier for each movie.
- Movie_title: Title of the movie.
- Production_date: Release date of the movie.
- Genres: Movie genres, e.g., Action, Adventure, Sci-Fi.
- Runtime_minutes: Length of the movie in minutes.
- Director_name: Name of the director.
- Director_professions: Professions associated with the director (e.g., producer, writer).
- Director_birthYear: Year of birth of the director.
- Director_deathYear: Year of death of the director (or "alive" if still living).
- Movie_averageRating: Average user rating on IMDb (scale of 1-10).
- Movie_numberOfVotes: Total number of votes the movie received on IMDb.
- Approval_Index: A normalized indicator (scale 0-10) combining ratings and votes for overall popularity.
- Production_budget ($): Cost of producing the movie in USD.
- Domestic_gross ($): Box office earnings within the domestic market in USD.
- Worldwide_gross ($): Total box office earnings globally in USD.
Usage:
This dataset is ideal for the following applications:
- Box Office Analysis: Assess relationships between production budgets, domestic and worldwide gross earnings, and profitability.
- Genre Insights: Identify popular genres and their financial performance.
- Rating Analysis: Explore connections between average ratings, number of votes, and financial success.
- Director Impact: Analyze how directors influence movie ratings and earnings.
- Time-based Trends: Study trends over the years, including budget changes and evolving audience preferences.
Coverage:
The dataset spans movies across different genres, budgets, and time periods, offering a comprehensive overview of the film industry. It integrates financial and audience perception metrics to provide a holistic understanding of movie performance.
License:
This dataset is provided under the CC0 (Public Domain) license, allowing unrestricted usage for analysis, modeling, and visualization.
Who Can Use It:
- Data Scientists: For building predictive models.
- Movie Enthusiasts: To explore trends and performance in the movie industry.
- Researchers and Analysts: For data-driven storytelling and insights.
- Students: For academic projects and learning data analysis techniques.
How to Use It:
- Develop predictive models to forecast box office earnings or ratings.
- Conduct feature analysis to understand influential factors for movie success.
- Create visualizations of trends in budgets, ratings, and audience preferences.
- Benchmark machine learning algorithms using approval indices or financial metrics.
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