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Historical Film Performance Dataset
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About
This dataset provides a detailed collection of movie ratings, offering insights into top-rated films. It serves as an engaging resource for data analysis and exploration, allowing users to delve into various aspects of movie performance and audience reception. The data was gathered from The Movie Database via its API and formatted into a CSV file for ease of use.
Columns
- id: A unique identifier for each movie.
- title: The official title of the movie.
- release_date: The date when the movie was originally released.
- overview: A general summary or synopsis of the movie.
- popularity: A metric indicating the movie's popularity.
- vote_average: The average rating received by the movie from votes.
- vote_count: The total number of votes cast for the movie.
- video: A boolean field indicating if a video is available for the movie, currently all entries are false.
Distribution
The dataset is provided in a CSV format, named 'Movie-Dataset-Latest.csv', with a file size of 3.22 MB. It contains 9 columns and consists of 9463 individual records. The
release_date column spans from 17 April 1902 to 16 December 2021.Usage
This dataset is ideal for a variety of applications, including:
- Analysing trends in movie ratings and popularity over time.
- Developing recommendation systems based on movie attributes.
- Performing text analysis on movie overviews to identify genre characteristics or themes.
- Studying factors that contribute to a movie's success or critical reception.
- Educational purposes for learning data manipulation and visualisation with real-world data.
Coverage
The dataset's time scope for
release_date ranges from 17 April 1902 to 16 December 2021. While a specific geographic or demographic scope isn't explicitly defined, the data originates from The Movie Database, which features a global collection of films and their associated metrics.License
CC0: Public Domain
Who Can Use It
This dataset is suitable for:
- Data Analysts: To uncover patterns and insights within movie data.
- Researchers: For academic studies on film popularity, audience engagement, or cinematic history.
- Developers: To build and test algorithms for movie recommendation engines or data-driven applications.
- Students: As a practical resource for learning data science, statistical analysis, and programming.
Dataset Name Suggestions
- TMDB Top Rated Movies
- Movie Ratings Analytics Data
- Historical Film Performance Dataset
- Global Movie Popularity Index
- Cinema Insights Collection
Attributes
Original Data Source: Historical Film Performance Dataset
QUALITY