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IMDB Highest Rated Movies Dataset
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Free
About
This dataset provides detailed information on the top 250 movies as ranked by IMDB ratings, sourced directly from the official IMDB website. It serves as a valuable resource for film enthusiasts, data analysts, and researchers to explore various aspects of highly-rated cinema. The dataset's purpose is to allow users to analyse, visualise, and build systems around these critically acclaimed films, offering insights into what makes a movie successful according to a global audience.
Columns
- rank: The movie's position within the IMDB Top 250 list.
- movie_id: A unique identifier for the movie.
- title: The name of the movie.
- year: The release year of the movie.
- link: The URL to the movie's page on IMDB.
- imdb_votes: The total number of votes contributing to the IMDB rating.
- imdb_rating: The overall IMDB rating of the movie.
- certificate: The movie's certification (e.g., R, PG).
- duration: The running time of the movie.
- genre: The genre(s) associated with the movie.
- cast_id: IDs of the cast members who worked on the movie.
- cast_name: Names of the cast members who worked on the movie.
- director_id: IDs of the directors who directed the movie.
- director_name: Names of the directors who directed the movie.
- writer_id: IDs of the writers who wrote the script for the movie.
- writer_name: Names of the writers who wrote the script for the movie.
- storyline: A brief summary or synopsis of the movie.
- user_id: IDs of users who wrote reviews for the movie.
- user_name: Names of users who wrote reviews for the movie.
- review_id: IDs of the user reviews.
- review_title: A short title for the user review.
- review_content: The main body of the user review.
Distribution
The dataset is provided in CSV format and is approximately 13.57 MB in size. It comprises 22 distinct columns and contains 250 individual records or rows, each representing one of the top-rated IMDB movies.
Usage
This dataset is ideally suited for a variety of applications, including:
- Data Preprocessing: Cleaning and preparing movie data for analysis.
- Exploratory Data Analysis (EDA): Discovering patterns, anomalies, and relationships within movie characteristics and ratings.
- Data Visualisation: Creating charts and graphs to illustrate trends in movie rankings, genres, and audience reception.
- Recommendation Systems: Developing algorithms to suggest movies based on various criteria such as ratings, cast, or genre.
- Film Studies: Analysing the attributes of highly-rated films over time.
Coverage
The dataset covers movies released between 1921 and 2022. It features a diverse range of films from various genres and directors, reflecting IMDB's global database of user ratings. The data focuses specifically on the top 250 movies ranked by IMDB ratings, providing a curated selection rather than a full catalogue of all films. One movie is noted as having a missing certificate value.
License
CC BY-NC-SA 4.0
Who Can Use It
This dataset is valuable for:
- Film enthusiasts looking to explore highly-rated movies and their details.
- Data scientists and analysts interested in practising data cleaning, analysis, and visualisation techniques.
- Students and researchers studying film history, audience reception, or building recommendation engines.
- Anyone interested in the factors that contribute to a movie's high IMDB rating.
Dataset Name Suggestions
- IMDB Top 250 Movies Data
- Global Top Films by IMDB Rating
- IMDB Highest Rated Movies Dataset
- Premier Movie Rankings Data
- Curated IMDB Movie List
Attributes
Original Data Source: IMDB Highest Rated Movies Dataset
QUALITY