Trending movies dataset sourced from the TMDB API. The dataset's specific volume, creation date, and original author are not documented. It is available on Kaggle under the 'Movies And Tv Shows' topic tag.
Use Cases
- Analyze movie popularity trends over time using release_date and popularity_score fields.
- Train a model to predict a movie's vote_average from features like genre_ids and original_language.
- Cluster movies into audience segments based on features such as overview text and poster_path metadata.
- Correlate a film's budget or revenue with its trending status using financial data fields.
Strengths
- Sourced from the TMDB API, a major authoritative database for film and TV content.
- Includes structured data points typical of TMDB, such as titles, IDs, and metadata.
Limitations
- The exact row count, column list, and sample size are unknown, limiting reproducibility.
- The temporal coverage and update recency are unspecified, potentially affecting trend analysis.
Provenance
- Source
- The Movie Database (TMDB) API
- Collection Method
- Data gathered via API calls to TMDB's trending endpoints.
- Time Range
- null
- Freshness
- null
- Geography
- null