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Netflix Demographic and Usage Data
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About
This dataset offers 25,000 fictional Netflix user records, created for purposes of data analysis, visualisation, and machine learning exercises. It encompasses detailed demographic information, subscription types, viewing habits, and login activity for each simulated user. This synthetic dataset does not contain any real user data, making it ideal for educational and experimental projects.
Columns
- User_ID: A unique identifier for each user.
- Name: A randomly generated user name.
- Age: The user's age, ranging from 13 to 80 years.
- Country: The user's country, randomly selected from 10 different options.
- Subscription_Type: The type of Netflix plan the user has (Basic, Standard, or Premium).
- Watch_Time_Hours: The total hours watched by the user in the past month.
- Favorite_Genre: The user's preferred content genre.
- Last_Login: The last recorded login date for the user within the last year.
Distribution
The dataset contains 25,000 fictional user records. It is typically provided as a CSV file, with a file size of 1.56 MB and comprises 8 columns. All records are valid across all columns, with no mismatched or missing data.
Usage
This dataset is well-suited for a variety of applications, including:
- Data visualisation and analytical reporting.
- Customer segmentation and identifying usage trends.
- Testing machine learning models, such as those for churn prediction or content recommendation systems. It is an excellent resource for experimental projects and learning initiatives.
Coverage
- Geographic Scope: Users originate from 10 distinct countries, with notable representation from the UK and Germany.
- Time Range: The last login dates span a one-year period, from 8th March 2024 to 8th March 2025.
- Demographic Scope: User ages range from 13 to 80 years old, distributed across various age brackets.
License
CC0: Public Domain
Who Can Use It
This dataset is designed for data analysts, data scientists, students, and researchers. It is perfect for those looking to engage in data analysis, develop data visualisations, or build and test machine learning algorithms in a safe, fictional environment without using real user information.
Dataset Name Suggestions
- Fictional Netflix User Analytics
- Synthetic Netflix Subscriber Insights
- Netflix Demographic and Usage Data
- Simulated Netflix Audience Study
Attributes
Original Data Source: Netflix Demographic and Usage Data
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