📊 Netflix Users Data Analysis

This project explores and visualizes Netflix users data to understand user behavior, subscription preferences, and content interests. The analysis was performed using Python with Pandas, NumPy, Matplotlib, and Seaborn.

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📁 Dataset Overview

The dataset contains the following 8 columns and 25000 rows:

Column Name	Description
User_ID	Unique user ID
Name	User's name
Age	Age of the user
Country	User's country
Subscription_Type	Type of Netflix subscription (Basic, etc)
Watch_Time_Hour	Total hours watched
Favorite_Genre	User's favorite content genre
Last_Login	Last login timestamp

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🧰 Tools Used

• Python
• Pandas
• Matplotlib
• Seaborn
• Google Colab

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📊 Key Visualizations

🔸 Number of users per Subscription_Type

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🔸 Favorite Genre Distribution

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🔸Average watch time hours per subscription_type

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🔸 Most Active Country

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🧾 Summary & Key Insights

• ✅ Premium is the most popular subscription type among users.
• 📈 Average watch time (in hours) by subscription type:
  • Basic: 502.99
  • Premium: 501.40
  • Standard: 496.94
• 🎬 Horror is the most preferred favorite genre.
• 🌍 The UK has the highest number of users, making it the most active country in this dataset.

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📬 Contact

📧 gauravxv0410@gmail.com 🔗 LinkedIn

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