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Movies & TV Show Metrics
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About
This dataset is a synthetic collection designed to simulate information about Netflix movies and TV shows. It captures essential details such as content type, genre, release year, ratings, duration, and production country. It serves as a valuable resource for exploring content trends, building recommendation systems, and visualising patterns within the Netflix catalogue.
Columns
- Title: The unique identifier for each movie or TV show. Examples include "Title 1" and "Title 2".
- Type: Specifies whether the content is a 'Movie' or a 'TV Show'. Approximately 51% are TV Shows and 49% are Movies.
- Genre: Describes the content's category, such as 'Drama', 'Comedy', 'Action', 'Romance', or 'Sci-Fi'. Common genres include 'Horror' and 'Thriller'.
- Release Year: The year the movie or TV show was released, ranging from 1950 to 2023.
- Rating: The age rating assigned to the content. Categories include G, PG, PG-13, R, TV-MA, TV-14, and TV-PG. 'TV-14' and 'R' are frequently occurring ratings.
- Duration: For movies, this indicates runtime in minutes (e.g., "120 min"). For TV shows, it indicates the number of seasons (e.g., "2 Seasons").
- Country: The country where the content was produced. Examples include 'United States', 'India', 'Japan', 'United Kingdom', and 'Canada'.
Distribution
The dataset is provided as a CSV file, named 'Netflix_Movies_and_TV_Shows.csv', with a file size of 199.75 kB. It contains 3000 rows, simulating a substantial collection of content information. All seven columns have 100% valid data with no missing or mismatched entries.
Usage
This dataset is ideal for various applications:
- Exploratory Data Analysis (EDA): Analysts can examine the distribution of genres, ratings, or release years to uncover patterns.
- Recommendation Systems: Data scientists can develop models to suggest content based on genre, type, or simulated user preferences.
- Visualisation: Users can create visual representations of Netflix content trends over time and compare the output of movies versus TV shows.
- Machine Learning: The dataset can be used to train models for classifying content types based on attributes like genre and release year.
Coverage
The dataset's geographic scope includes various production countries such as the United States, India, Japan, the United Kingdom, and Canada. The time range for content release spans from 1950 to 2023. Demographic scope is covered by the inclusion of various age ratings (G, PG, PG-13, R, TV-MA, TV-14, TV-PG).
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for:
- Data analysts looking to perform exploratory analysis.
- Data scientists interested in building and testing recommendation systems or classification models.
- Researchers and enthusiasts studying trends in the entertainment and streaming industry.
- Students learning about data cleaning, analysis, and visualisation techniques.
Dataset Name Suggestions
- Netflix Content Catalogue
- Global Streaming Content
- Movies & TV Show Metrics
- Entertainment Data Insights
- Synthetic Netflix Data
Attributes
Original Data Source: Movies & TV Show Metrics
QUALITY