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IMDb Top 250 Movies Dataset
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About
Detailed metrics are provided for the 250 highest-rated movies according to the Internet Movie Database (IMDb) ranking. This product includes essential data points for statistical analysis of film popularity and critical reception. The underlying data was retrieved via scraping the official IMDb top 250 chart.
Columns
- Number: The ranking position of the film on the top list, ranging from 0 to 249.
- Movie_Names: The full title of the movie.
- Ratings: The overall user rating score assigned to the movie, generally falling between 8.0 and 9.2.
- Released_Year: The year the film was released, spanning entries from 1921 through to 2023.
- Movie_Link: The specific URL linking directly to the movie's page on the IMDb platform.
- Votes: The total number of user votes counted on the IMDb website.
- Metascore: The score based on professional critic reviews, calculated on a scale up to 100.
- Userreviews: The specific count of reviews submitted by platform users.
- Criticreviews: The specific count of reviews submitted by professional critics (with a maximum count of 843).
Distribution
The data is structured as a CSV file named PopularMovies.csv. This file contains nine distinct columns and 250 valid records. The file size is 71.72 kB. The expected update frequency for this snapshot is designated as 'Never'. There are no missing or mismatched values across the records.
Usage
This data product is highly suitable for statistical exploration and analysis concerning movies and TV shows. It can be applied to study the distribution of high ratings, analyse trends in critical reception versus audience reception, or investigate the correlation between release year and current ranking. The data is useful for researchers studying global film popularity over the last century.
Coverage
The dataset focuses entirely on the movies currently indexed in the IMDb top 250 list. The temporal scope spans nearly a century, from 1921, which represents the earliest release year in the sample, up to films released in 2023. The coverage is global, reflecting the international source of the ranking.
License
CC0: Public Domain
Who Can Use It
- Data Scientists: Ideal for practicing data cleaning, validation, and advanced statistical analysis.
- Film Critics and Historians: To analyse shifts in critically acclaimed and popular films across different decades.
- Academics: For research projects focusing on media ranking methodologies and user-generated review systems.
Dataset Name Suggestions
- IMDb Top 250 Movies Dataset
- Popular Global Film Ranking Metrics
- Highest-Rated Movie Data
Attributes
Original Data Source: IMDb Top 250 Movies Dataset
QUALITY