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Film Industry Statistics
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About
This dataset offers detailed movie statistics compiled from various sources, including Wikipedia, The Numbers, and IMDb. It provides a rich collection of information and insights into different aspects of films, such as titles, production dates, genres, runtime, director details, average ratings, vote counts, approval index, production budgets, domestic gross earnings, and worldwide gross earnings. Users can analyse and explore trends within the film industry, assess the financial success of movies, identify popular genres, and investigate the relationship between average ratings and box office performance. It serves as a valuable resource for researchers, movie enthusiasts, and data analysts for purposes like data visualisation, predictive modelling, and gaining a deeper understanding of the movie landscape.
Columns
- Movie_title: The title of the film.
- Production_date: The date the film was produced, ranging from 8th February 1915 to 3rd February 2023.
- Genres: The genres associated with the film.
- Runtime_minutes: The duration of the film in minutes, ranging from 63 to 271 minutes.
- Director_name (primaryName): The name and surname of the director.
- Director_professions (primaryProfession): The professional roles of the director within the film industry.
- Director_birthYear: The birth year of the director.
- Director_deathYear: The death year of the director, with 'alive' indicating the director is living.
- Movie_averageRating: The average rating given by online users for a particular film, on a scale from 1.5 to 9.3.
- Movie_numberOfVotes: The number of votes given by online users for a particular film, ranging from 5 to 2.7 million.
- Approval_Index: A normalised indicator (on a 0-10 scale) calculated by multiplying the logarithm of the number of votes by the average user rating, providing a concise measure of a film's overall popularity and approval.
- Production_budget ($): The budget allocated for the film's production, ranging from £50,000 to £460 million.
- Domestic_gross ($): The earnings from domestic box office, ranging from £264 to £858 million.
- Worldwide_gross ($): The global earnings from box office, ranging from £423 to £2.92 billion.
Distribution
This dataset is provided in CSV format, specifically as
movie_statistic_dataset.csv, with a file size of 705.34 KB. It contains 14 distinct columns and includes 4380 valid records across all listed fields. Updates to this dataset are expected to occur annually.Usage
This dataset is ideal for a variety of analytical applications and studies within the film industry:
- Box office analysis: Examine the relationship between production budgets, domestic and worldwide gross earnings, and profitability.
- Genre analysis: Identify the most popular film genres based on movie counts and analyse their performance metrics.
- Rating analysis: Explore the correlation between average ratings, the number of votes received, and a film's financial success.
- Director analysis: Investigate the influence of directors on film ratings and their financial performance.
- Time-based analysis: Study film trends across different production years and observe shifts in production budgets, box office earnings, and genre preferences. By utilising this dataset, users can uncover patterns that can inform decision-making, market research, and creative strategies in the film sector.
Coverage
The dataset covers films produced from 8th February 1915 to 3rd February 2023. While specific geographic or demographic details are not outlined, the inclusion of "worldwide gross" suggests a global scope for film performance data, drawing from online user ratings and votes.
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for:
- Researchers studying film trends and economics.
- Movie enthusiasts keen on exploring film data in detail.
- Data analysts looking for insights into the film industry.
- Anyone interested in data visualisation, developing predictive models, or gaining a deeper understanding of the film landscape.
- Professionals in market research or creative strategy seeking data-driven insights for decision-making.
Dataset Name Suggestions
- Film Industry Statistics
- Movie Performance Metrics
- Global Cinema Data
- Film Success Analytics
- Movie Business Insights
Attributes
Original Data Source: Film Industry Statistics
QUALITY