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Global Movie Popularity Analysis Data
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About
This collection focuses on the top-rated films, providing data for 10,000 movies ranked based on TMDB ratings and popularity. The data serves as a foundation for analysis, driven by the inspiration to understand how streaming services suggest content. It allows users to explore the dynamics of film popularity metrics and viewer engagement.
Columns
- Popularity: An indication of how well-received the movie is, based on its metrics.
- Vote Count: The total number of unique votes cast for the film.
- Title: The official name of the motion picture.
- Vote Average: The calculated average rating provided by voters for the film.
- Overview: A concise summary or storyline describing the movie's plot.
- Release Date: The date when the movie was originally made available to the public.
Distribution
The dataset is typically structured in a flat file format, such as CSV, and contains a total of 10,000 records. The file size is approximately 3.29 MB. The column structure is consistent, featuring 6 distinct data fields for each movie entry.
Usage
This data is highly suitable for developing predictive models and understanding consumer preferences. Ideal applications include:
- Building machine learning algorithms designed to identify relationships between films, such as recommendation engines.
- Conducting detailed analyses into the correlation between a movie’s popularity score and its average vote rating.
- Educational projects focused on data science and film metrics.
Coverage
The temporal scope of the data is broad, including films released between September 1902 and February 2023. The scope specifically targets the top 10,000 movies as determined by TMDB ratings and popularity, offering a focused view on highly-rated cinema. Some minimal data points are missing in the 'Overview' and 'Release Date' fields.
License
CC0: Public Domain
Who Can Use It
- Data Scientists: For developing and testing collaborative filtering or content-based recommendation systems.
- Academics and Students: For educational studies in media analysis, statistical inference, and big data processing.
- Market Researchers: To gain insight into user voting patterns and film market success factors.
Dataset Name Suggestions
- TMDB Top 10K Movie Ratings
- Global Movie Popularity Analysis Data
- Top-Rated Film Database
Attributes
Original Data Source: Global Movie Popularity Analysis Data
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