Dark Mode
Top 100 IMDb Movie Rankings
Product Reviews & Feedback
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This collection provides structured information on the top 100 movies as determined by IMDb rankings. Spanning a historical period from 1931 through to 2023, the data is a valuable resource for trend analysis, allowing users to investigate shifts in cinematic quality, genre popularity, and rating distributions across nearly a century of filmmaking. Each entry includes critical details such as the official rating, release year, and a synopsis.
Columns
- rank: The numerical position of the film, based on IMDb's specific ranking criteria (ranging from 1 to 100).
- title: The official title used for the film.
- description: A brief synopsis or short summary of the movie's plot.
- genre: Indicates the specific categories the movie falls under (e.g., Drama, Thriller).
- rating: The user-generated score for the film on the IMDb platform (on a scale typically from 1 to 10).
- year: The calendar year in which the movie was originally released to the public.
Distribution
The data is organised as a flat file, containing 100 records in total, one for each film in the ranking. It is distributed in CSV format, which is the standard file structure for analytical integration. The file size is modest, approximately 21.96 kB. A sample file will be updated separately to the platform for initial review.
Usage
- Performing detailed analysis of movie rating trends over the decades.
- Studying the correlation between a film's genre classification and its IMDb rating success.
- Applying sentiment analysis techniques to the movie synopses (descriptions).
- Building models for data visualisation and exploring how top-rated cinema has evolved.
Coverage
The time range covered extends from the first records in 1931 up to the most recent inclusions in 2023. The data reflects global cinematic achievements as measured by the IMDb platform. There are precisely 100 validated entries, with no missing data points across the ranking, title, description, genre, rating, or year fields.
License
CC0: Public Domain
Who Can Use It
- Data Analysts: Exploring categorical data and extracting insights on public preference.
- Academics: Conducting research into film history, genre evolution, and media studies.
- Software Developers: Integrating high-quality, structured movie ranking data into applications.
Dataset Name Suggestions
- Top 100 IMDb Movie Rankings
- Global Film Rating Archive
- IMDb Cinematic Data 1931-2023
Attributes
Original Data Source: Top 100 IMDb Movie Rankings
QUALITY