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Global Film Classics Performance

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Tags and Keywords

Movies

Imdb

Film

Ratings

Cinema

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Global Film Classics Performance Dataset on Opendatabay data marketplace

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Free

About

This resource offers detailed metrics and descriptive attributes for the top films as rated by IMDb users. It is a valuable tool for anyone interested in film history and performance analysis, covering celebrated classics such as "The Godfather" and "Pulp Fiction," alongside more recent critically acclaimed releases. The data provides crucial insights into factors like director, main cast, genre, and critical reception, serving as a snapshot of cinematic achievements highly regarded by the public.

Columns

  • Title: The official movie title.
  • Year: The year the film was recorded (ranging from 1921 to 2017).
  • Released: The specific release date of the film.
  • Runtime: The movie length, measured in minutes.
  • Genre: The movie's classification, covering a wide array including Drama, Action, Comedy, and Horror.
  • Director: The name of the film's director.
  • Writer: The author(s) of the script or source material.
  • Actors: Names of the main actors featured in the film.
  • Plot: A brief summary of the movie's storyline.
  • Language: The original language of the production (English is the most frequent).
  • Country: The country or countries in which the film was shot (the USA is the predominant country).
  • Awards: Detailed notes regarding awards received by the film.
  • Metascore: The film's aggregated score from critics.
  • imdbRating: The user rating of the film, scaled from 0 to 10.
  • imdbVotes: The total number of voters contributing to the IMDb rating.
  • imdbID: The unique identifier for the movie on IMDb.
  • Type: The type of artwork (consistently recorded as 'movie').
  • DVD: The date of the DVD release.
  • BoxOffice: The movie's recorded box office earnings.
  • Production: The production company responsible for the film.
  • Website: The official movie website link.

Distribution

The dataset is provided as a single CSV file, named imdb_top250_movies.csv, with a file size of approximately 136.5 kB. It is structured with 23 distinct columns and contains 250 valid records. While the majority of data is complete, there are instances of missing information, particularly within the 'BoxOffice', 'Metascore', and 'Website' columns.

Usage

Ideal applications include analysing trends in film popularity and quality spanning nearly a century. The data can be used for comparative study of audience ratings versus professional critical opinion (Metascore) or financial success (BoxOffice). It is excellent for conducting genre distribution analysis, understanding the success metrics associated with particular directors or production companies, and developing algorithms for movie recommendation systems.

Coverage

The dataset covers movies released globally, with a time span ranging from the earliest entry in 1921 up to 2017. Geographically, while the films originate worldwide, productions from the USA are the most heavily represented, and English is the dominant original language. The data is expected to receive quarterly updates.

License

CC0: Public Domain

Who Can Use It

  • Film Academics and Researchers: Utilising the longitudinal data to study cinematic history, audience reception, and shifts in critical acclaim over time.
  • Data Scientists and Analysts: Building predictive models to estimate future film success based on director, cast, and production attributes.
  • Application Developers: Populating the backend of movie review websites, catalogue applications, or entertainment APIs.
  • Film Enthusiasts: Exploring detailed statistics and background information on some of the highest-rated films ever made.

Dataset Name Suggestions

Top 250 IMDb Films Metadata Highest Rated Movies 1921-2017 Global Film Classics Performance IMDb Rating Leaders Dataset

Attributes

Original Data Source: Global Film Classics Performance

Listing Stats

VIEWS

1

DOWNLOADS

0

LISTED

07/10/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free

Download Dataset in CSV Format