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Top 200 IMDB Movie Rankings
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About
This collection offers details on the top 200 movies as determined by the ratings of regular IMDb users. The ranking methodology incorporates criteria such as cinematic quality from a directing and writing perspective, overall popularity, and the magnitude of awards and nominations achieved by the films. The data is ideally suited for developing effective recommendation systems focusing on highly-regarded cinema.
Columns
- Title: The official title of the movie (207 unique values).
- Year of Release: The calendar year the movie was released, ranging from 1927 to 2022.
- Rating: The movie’s score, measured out of a maximum of 10, typically falling between 8.1 and 9.3.
- Number of Reviews: The count of reviews submitted for the movie, noting common values around 1.1M and 1.3M.
- Popularity Index: The numerical index representing the movie's relative popularity, ranging from 3 up to 4.94k.
- Movie Cast: A list detailing the cast members featured in the film.
- Director: The primary director of the movie, noting several entries for notable directors like Christopher Nolan and Steven Spielberg.
- Description: A short narrative summary of the movie's plot or theme.
Distribution
The data is provided in a CSV file format, named Top 200 Movies.csv, with a file size of 108.43 kB. It contains 8 distinct columns and 207 validated records or rows for each field, ensuring high data quality with no missing or mismatched values reported across the dataset. The expected update frequency for this snapshot is never.
Usage
This dataset is perfect for training and evaluating movie recommendation algorithms. It can be utilized for analyzing correlations between specific film attributes (like rating or popularity index) and the year of release. It also supports research into directorial influence and cast commonality among top-rated cinematic works.
Coverage
The time span of the movies included ranges over a century, covering releases from 1921 up to 2022. The list focuses on global cinema that has been highly rated by the general population of regular IMDb voters.
License
CC0: Public Domain
Who Can Use It
- Data Scientists: For developing predictive models and creating sophisticated recommendation systems.
- Film Researchers: To perform historical analysis on trends in cinematic success and popularity over time.
- Application Developers: For populating entertainment apps or websites with robust, verified lists of high-quality films.
Dataset Name Suggestions
- Top 200 IMDB Movie Rankings
- High-Rated Cinematic Works 1921-2022
- Global Movie Popularity Index
Attributes
Original Data Source: Top 200 IMDB Movie Rankings
QUALITY