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IMDB Movie Data 2006-2016
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About
Contains data for 1,000 top-rated IMDB movies released between 2006 and 2016. This period covers a significant era in filmmaking, including the rise of major cinematic universes. The dataset is ideal for beginners in data analytics and data cleaning, offering a straightforward summary for exploring trends in the film industry during this decade.
Columns
- Rank: The ranking of the movie.
- Title: The title of the movie.
- Genre: The genre associated with the movie.
- Description: A brief description of the movie.
- Director: The director of the movie.
- Actors: The actors who participated in the movie.
- Year: The release year of the movie.
- Runtime (Minutes): The duration of the movie in minutes.
- Rating: The user rating of the movie.
- Votes: The total number of votes the movie received.
- Revenue (Millions): The box office revenue in millions.
- Metascore: The score from Metacritic.
Distribution
- Format: The data is provided in a single CSV file (
IMDB-Movie-Data.csv). - Size: The file size is approximately 309.77 kB.
- Structure: The dataset is tabular and contains 1,000 records (rows) and 12 columns. Note that some columns like 'Revenue (Millions)' and 'Metascore' have missing values.
Usage
This dataset is well-suited for various data analysis tasks, including:
- Exploratory data analysis to uncover trends in movie ratings, revenue, and genres over the decade.
- Data cleaning and pre-processing practice due to missing values in some columns.
- Building predictive models to forecast movie revenue or ratings based on factors like genre, director, and actors.
- Creating visualisations to represent the film industry's landscape from 2006 to 2016.
Coverage
- Geographic Scope: The dataset is not limited to a specific geographic region, as it covers films listed on IMDB, which is an international database.
- Time Range: The data covers movies released from the year 2006 to 2016.
- Demographic Scope: The data pertains to films and does not include demographic information about viewers or creators.
License
CC0: Public Domain
Who Can Use It
- Data Science Students and Beginners: Ideal for learning data cleaning, analysis, and visualisation techniques.
- Film Enthusiasts and Researchers: Useful for exploring patterns and statistics of popular movies from a significant cinematic period.
- Aspiring Data Analysts: A practical, real-world dataset for portfolio projects.
Dataset Name Suggestions
- Top 1000 IMDB Movies (2006-2016)
- IMDB Movie Data 2006-2016
- A Decade of Film: IMDB Top Movies
- Film Industry Analysis Dataset (2006-2016)
Attributes
Original Data Source: IMDB Movie Data 2006-2016
QUALITY