Userbase Dataset for Netflix

Data Source

The Netflix Userbase dataset offers a view into a sample of Netflix users that is both representative and highlights many facets of their subscriptions, earnings, account details, and interactions. The data includes information about the user's subscription tier (Basic, Standard, or Premium), the monthly revenue derived from their subscription, the date they joined Netflix (Join Date), the most recent payment date (Last Payment Date), and their location. Each row corresponds to a specific user, identifiable by their unique User ID.

The addition of new columns provides information on the behaviors and preferences of users. These include characteristics such as Device Type (such as Smart TV, mobile, desktop, or tablet) and Account Status (such as whether the account is active at the moment). It's worth noting that the dataset is a simulated representation and doesn’t mirror actual Netflix user information. Its purpose is to facilitate analysis and modeling, aiding in the comprehension of hypothetical trends, preferences, and revenue generation patterns within a Netflix user community.

Platform: Kaggle
Link: https://www.kaggle.com/datasets/arnavsmayan/netflix-userbase-dataset

Google Collab:
https://colab.research.google.com/drive/1Q4_PkLoadwnRQtv5HNGgEe-svkYtng0R?usp=sharing

Data Overview

The dataset contains 2,500 instances and ten features. Here’s a brief overview of each variable:

• A user ID is a unique identifier assigned to an individual user within a system or platform. It helps distinguish and track users, enabling personalized interactions and data management
• Subscription Type: refers to the category or level of service that a user has chosen to access within a service or platform. It typically defines the features, benefits, and limitations of the subscription plan, often varying in terms of price and available content or services.
• Monthly Revenue: refers to the amount of money generated monthly from a particular source, such as subscriptions, sales, or fees. It represents the income earned over a single month.
• Join Date: This is the specific date on which an individual becomes a member or user of a service, platform, or community. It marks the moment when someone officially joins or starts using a particular system or group.
• Last Payment Date: refers to the most recent date on which a payment was made. It indicates the time when the latest financial transaction, such as a purchase, subscription renewal, or fee payment, occurred.
• Country refers to a geographical region or nation where a person, entity, or location is situated. It represents a specific location on the Earth’s surface and is often used to categorize and group individuals based on their geographic origin or current residence.
• Age is a numerical value that represents the number of years a person has lived since their birth. It indicates the length of time that has passed since an individual was born and is often used as a demographic characteristic in various analyses and categorizations
• Gender refers to the classification of individuals based on their social, cultural, and personal identity in terms of being male, female, or another gender identity. It is a concept that goes beyond biological sex and encompasses a person’s self-identification and expression.
• Device: refers to a physical or virtual tool, gadget, or machine used to perform specific tasks or functions. In the context of technology, it often refers to electronic devices such as computers, smartphones, tablets, and other hardware used for communication, computation, and interaction with digital systems.
• Plan Duration: refers to the length of time for which a particular plan, subscription, or arrangement remains valid or active. It indicates the period during which the benefits, services, or features associated with the plan will be accessible before any renewal or expiration occurs.

EDA RESULT

Summary and Main Results

The provided dataset offers an insightful snapshot of a synthetic Netflix userbase, encompassing critical dimensions of user subscriptions, financial contributions, account particulars, and interactions. This dataset serves as a foundation for exploring trends and patterns that can offer valuable insights into user behavior and preferences, aiding in the formulation of strategic decisions.

Key Findings:

Subscription Types and Revenue: The userbase is segmented into three main subscription types: basic, standard, and premium. This indicates Netflix’s approach to catering to various user preferences and budget levels. The revenue generated from subscriptions is influenced by the subscription type and can be analyzed to identify which plans are contributing the most to the company’s income.

User Engagement: The Join Date and Last Payment Date provide information about user engagement and retention. By analyzing the time duration between these dates, Netflix can gain insights into user churn rates and formulate strategies to enhance user retention.

Geographical Distribution: The dataset includes the country of each user, which can be analyzed to understand regional preferences and tailor content or marketing strategies accordingly. It is essential to recognize and leverage the cultural nuances that drive viewership in different regions.

Device Usage: The Device Type column indicates the devices users use to access Netflix, such as smart TVs, mobile devices, desktops, and tablets. This insight can inform the development of a responsive user experience, ensuring seamless access to content across diverse platforms.

Account Status: The Account Status column provides insights into active and inactive accounts. Monitoring and analyzing the distribution of active and inactive accounts can help Netflix address factors contributing to account cancellations and proactively engage with users to prevent churn.

Potential Modeling: The dataset’s richness presents an opportunity for predictive modeling. Variables like subscription type, account status, device usage, and others can be used to build models predicting user behavior, churn, or revenue.

In essence, this dataset encapsulates the potential to uncover user-centric patterns and preferences, enabling Netflix to optimize its services, tailor its offerings, and maximize user satisfaction and revenue generation.