📊 Netflix Data Analysis Project

This project provides a comprehensive analysis of Netflix content using Power BI.
It explores patterns in movies and TV shows, content distribution across countries, and key insights into genres and ratings.

---

🚀 Project Overview

The aim of this project is to analyze Netflix’s dataset and uncover meaningful insights about:

• Growth of Netflix’s content library.
• Distribution of content by type (Movies vs TV Shows).
• Popular genres and ratings.
• Country-wise analysis of Netflix content.
• Trends in content addition over the years.

---

📂 Project Structure

Netflix-Analysis/
├── data/              # Dataset used for analysis (CSV/Excel)
├── netflix.pbix       # Power BI dashboard file
├── images/            # Screenshots of dashboard visuals
└── README.md          # Documentation

---

⚙️ Steps to Run the Project

1. Clone the Repository

git clone https://github.com/NaveenKumarReddy14/Netflix-Analysis/blob/56f5b35171bacc8e37d9081f616202c697540fd6/netflix%20(1).pbix

2. Open the Power BI Dashboard

• Install Power BI Desktop from Microsoft.
• Open the file netflix.pbix.

---

3. Explore the Dashboard

The dashboard includes:

• Movies vs TV Shows 📺
• Top 10 Countries by Content 🌍
• Genre Distribution 🎬
• Ratings Breakdown ⭐
• Yearly Trends of Content Added 📈

---

📊 Key Insights

• Netflix has seen a steady growth in movies compared to TV shows.
• United States and India dominate Netflix’s content library.
• Popular genres include Documentaries, Dramas, and Comedies.
• Most content is rated TV-MA, targeting mature audiences.
• Content addition peaked between 2016–2019, reflecting Netflix’s rapid expansion.

---

🛠️ Tools & Technologies

• Power BI → Data Visualization & Dashboarding
• Dataset → Netflix Titles dataset (CSV/Excel)

---

📸 Dashboard Preview

OverView

Movies vs TV Shows

Top Countries

Genre Distribution

MonthWise

Rating

🙌 Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.