Netflix Userbase Insights Dataset
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Netflix Userbase Insights Dataset
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Netflix Userbase Insights Dataset
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Netflix Userbase Insights Dataset
Use Case
Netflix Userbase Insights Dataset
Description
Explore a detailed Netflix userbase dataset featuring subscription types, revenue, device preferences, watch hours, and more.
Description:
This dataset provides an in-depth snapshot of a hypothetical Netflix userbase, designed for analysis and modeling. Each entry captures a unique user through their User ID, detailing multiple key aspects such as subscription type (Basic, Standard, or Premium), revenue generated, join date (the date a user registered for Netflix), and their last payment date. It also includes the user’s geographical region (Country) for regional trend analysis.
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Beyond these basics, the dataset enriches the user profiles with behavioral insights. For example, it includes Device Type (Smart TV, Mobile, Desktop, Tablet), showing which platforms users prefer to access Netflix content. The Account Status column indicates whether a user’s account is active or inactive, providing a dynamic view of churn rates.
Further detailed information on the user’s viewing preferences and patterns can be analyzed via additional columns that show Watch Hours, the Content Genres they prefer, and Average Session Duration. This expanded dataset offers a comprehensive view, combining subscription data with user interaction details. These elements are critical for understanding engagement, retention, and potential areas for upselling services.
Key Columns Include:
- User ID: Unique identifier for each user.
- Subscription Type: Basic, Standard, Premium (Reflecting tiered pricing models).
- Join Date: The date a user joined Netflix.
- Last Payment Date: The most recent subscription renewal date.
- Country: User’s geographical region.
- Device Type: Primary device used to access Netflix (Smart TV, Mobile, etc.).
- Account Status: Active or inactive account status.
- Watch Hours: Total hours of content consumed.
- Preferred Genres: Main genres favored by the user (e.g., Drama, Comedy, Thriller).
- Average Session Duration: Average length of each viewing session.
- Monthly Revenue: Amount generated from the user’s subscription.
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