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Premier Movie Rankings Dataset
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About
This dataset provides a detailed collection of the top 1000 movies as ranked by IMDb. It offers a rich array of information for each film, including its title, release year, runtime, genre, and critical reception scores such as IMDb rating and Metascore. Additionally, it lists key personnel like the director and up to four lead actors, alongside plot overviews, voting statistics, and gross revenue figures. Initially created for learning data cleaning techniques in R, this dataset serves as an excellent resource for anyone interested in movie analysis or honing their data manipulation skills.
Columns
- Poster_Link: A URL pointing to the movie's poster image.
- Series_Title: The main title of the movie.
- Released_Year: The calendar year in which the movie was released.
- Certificate: The age rating or certification for the movie (e.g., U, A). Some entries may not have this information.
- Runtime: The duration of the movie, measured in minutes.
- Genre: The category or categories to which the movie belongs (e.g., Drama, Action).
- IMDB_Rating: The average rating given to the movie by IMDb users, typically ranging from 7.6 to 9.3.
- Overview: A concise summary of the movie's plot or storyline.
- Meta_score: A weighted average of critic reviews, ranging from 28 to 100. Some entries may not have this score.
- Director: The name of the movie's director.
- Star1: The name of the first-billed lead actor in the movie.
- Star2: The name of the second-billed lead actor in the movie.
- Star3: The name of the third-billed lead actor in the movie.
- Star4: The name of the fourth-billed lead actor in the movie.
- No_of_Votes: The total count of votes the movie has received on IMDb, with figures ranging from 25,100 to 2.34 million.
- Gross: The worldwide box office gross revenue for the movie, with values ranging from 1,300 to 937 million. Some entries may lack this information.
Distribution
The dataset is available as a CSV file, specifically
imdb_top_1000.csv, with a file size of 438.1 kB. It contains 1000 individual records, representing 1000 distinct movies, each described across 16 different columns.Usage
This dataset is well-suited for a variety of applications, including:
- Performing movie data analysis and statistical studies on film attributes.
- Practicing data cleaning, transformation, and manipulation skills in programming environments like R.
- Conducting research on film industry trends, director and actor performance, or audience reception.
- Building recommendation systems or predictive models for movie success or ratings.
- Educational purposes, such as student projects in data science and analytics courses.
Coverage
The dataset focuses exclusively on the top 1000 movies as determined by IMDb's ranking system. While the
Released_Year column offers a time range of approximately 100 distinct years, specific start and end years are not explicitly defined. The dataset does not provide explicit geographic or demographic scope details beyond the global nature of IMDb ratings. It is noted that certain data points, such as film certificates and gross revenue figures, may not be available for all entries.License
CC0: Public Domain
Who Can Use It
- Data Analysts and Scientists: For exploratory data analysis, feature engineering, and model building.
- Film Scholars and Researchers: To investigate cinematic trends, critical reception, and industry dynamics.
- Students: An ideal resource for learning data science, particularly in the context of data preparation and analysis.
- Movie Enthusiasts: Individuals keen on exploring top-rated films through a data-driven lens.
Dataset Name Suggestions
- IMDb Top 1000 Films Data
- Premier Movie Rankings Dataset
- Global Cinema Top Rated List
- Film Metrics and Attributes Data
- Elite Movie Collection Analysis
Attributes
Original Data Source: Premier Movie Rankings Dataset
QUALITY