Dark Mode
IMDb Movie Popularity & Financials
Product Reviews & Feedback
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
Explore a detailed collection of IMDb movie data, sorted from highest to lowest popularity. This collection offers insights into film characteristics, including financial performance, viewer ratings, and production details, making it a valuable resource for analysing trends in the film industry. The data was gathered between 29 November 2023 and 1 December 2023.
Columns
- Title: The name of the movie.
- Summary: A brief overview of the movie's plot.
- Director: The person responsible for overseeing the creative aspects of the film.
- Writer: The individual who crafted the screenplay and story for the movie.
- Main Genres: The primary categories or styles that the movie falls under.
- Motion Picture Rating: The age-appropriate classification for viewers (e.g., G, PG, R).
- Runtime: The total duration of the movie.
- Release Year: The year in which the movie was officially released.
- Rating: The average score given to the movie by viewers.
- Number of Ratings: The total count of ratings submitted by viewers.
- Budget: The estimated cost of producing the movie.
- Gross in US & Canada: The total earnings from the movie's screening in the United States and Canada.
- Gross worldwide: The overall worldwide earnings of the movie.
- Opening Weekend in US & Canada: The date of the movie's opening weekend.
- Gross Opening Weekend: The amount generated during the initial weekend of the movie's release in the United States and Canada.
Distribution
The data is provided in a single CSV file (
IMDbMovies-Clean.csv) with a size of 2.67 MB. It contains a total of 9083 records across 15 columns. Missing values have been kept in the dataset, as they often reflect a lack of available information on the source website.Usage
This data is ideal for film industry analysis, predictive modelling of box office success, and academic research into cinematic trends. It can be used to explore relationships between budget, genre, ratings, and revenue. Data scientists can also use it for building recommendation engines or performing sentiment analysis on movie summaries.
Coverage
The dataset has a global scope, with financial data specifically covering the US & Canada and worldwide box office grosses. The temporal coverage for
Release Year spans from 1915 to 2027, and Opening Weekend dates range from 1972 to 2023.License
CC0: Public Domain
Who Can Use It
- Data Analysts: To identify patterns in movie popularity and financial success.
- Film Students and Researchers: To study genre evolution, directorial impact, and cinematic trends over time.
- Machine Learning Engineers: To develop predictive models for box office revenue or viewer ratings.
- Marketing Professionals: To understand audience preferences and factors driving commercial success in the film industry.
Dataset Name Suggestions
- IMDb Movie Popularity & Financials
- Global Movie Box Office & Ratings Analysis
- Cinematic Trends Dataset (IMDb)
- Popular Movies Data (1915-2027)
Attributes
Original Data Source: IMDb Movie Popularity & Financials
QUALITY