Netflix Subscription Analysis 🎬📊

Welcome to the Netflix Subscription Analysis project! This project explores user subscription patterns and revenue insights using the Netflix userbase dataset.

Project Overview 🌟

This project leverages data analysis techniques to uncover trends in Netflix subscriptions. Using Jupyter Notebook and Python for exploratory data analysis (EDA) and visualization.

Dataset 📁

• Dataset: Netflix Userbase Dataset
• Key Columns:
  • User_ID: Unique identifier for each user
  • Subscription_Type: Type of subscription (e.g., Basic, Standard, Premium)
  • Join_Date: Date when the user joined
  • Last_Payment_Date: Date of the last payment
  • Country: Country of the user
  • Age: Age of the user
  • Gender: Gender of the user
  • Monthly_Revenue: Monthly revenue from the user

Project Steps 🛠️

1. Data Collection 🗂️

• Downloaded the dataset from Kaggle.
• Loaded data into a Jupyter Notebook using Python.

2. Data Cleaning 🧹

• Handled missing values
• Standardized data formats
• Removed duplicate records

3. Exploratory Data Analysis (EDA) 🔍

• Subscription Distribution: Analyzed the distribution of subscription types.
• Revenue Analysis: Calculated revenue by subscription type.
• User Demographics: Examined average age and gender distribution.
• Subscription Duration: Calculated average subscription duration.
• Revenue Trends Over Time: Analyzed monthly revenue trends.

4. Key Insights 💡

• Subscription Distribution: 🎯 Standard subscriptions are the most popular, followed by Premium and Basic.
• Revenue Analysis: 💰 Premium subscriptions generate the highest revenue, followed by Standard and Basic.
• User Demographics: 👥 Premium users are slightly older on average, with balanced gender distribution.
• Subscription Duration: ⏳ Average subscription duration is around 365 days.
• Revenue Trends: 📈 Revenue shows a consistent upward trend, indicating steady growth.

Visualizations 📉

Here are some visualizations included in the analysis:

• Subscription Distribution by Type 📊
• Revenue by Subscription Type 💸
• Age Distribution by Subscription Type 👶👴
• Monthly Revenue Trends 📅

You can find the Jupyter Notebook with the detailed analysis and visualizations in this repository.

Getting Started 🚀

To get started with this project:

1. Clone the Repository

   git clone https://github.com/karishma122/netflix-subscription-analysis.git
   

2. Navigate to the Project Directory

   cd netflix-subscription-analysis

3. Install Required Libraries

   pip install -r requirements.txt

4. Run the Jupyter Notebook

   jupyter notebook

Additional Resources 🌐

• Jupyter Notebook Documentation
• Pandas Documentation
• Matplotlib Documentation
• Kaggle Datasets
• Check out my project write-up on Medium: Netflix Subscription Analysis

Contact Information 📬

If you have any questions, suggestions, or feedback regarding the Netflix Subscription Analysis project, feel free to reach out to me:

• Email: jainkarishma0102@gmail.com
• GitHub Profile: karishma122

I’m happy to help and look forward to hearing from you!