Trendingmovies in 2017 to 2019 is a dataset published on Kaggle. The dataset likely contains information about movies that gained popularity over a three-year period. Specific details such as the number of records, features, and data collection method are not provided in the available metadata.
Use Cases
- Analyzing trends in movie popularity over a three-year period (inferred from domain, verify after download)
- Building a recommendation system based on historical trending data (inferred from domain, verify after download)
- Studying the correlation between release dates and public interest (inferred from domain, verify after download)
Strengths
- Published on Kaggle, a platform with a large community for data sharing.
- Covers a defined three-year time range from 2017 to 2019.
Limitations
- Metadata is minimal; actual content requires verification after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- Kaggle
- Time Range
- 2017 to 2019