🎬 Netflix SQL Data Analysis Project

This project contains SQL queries used to explore and analyze a Netflix dataset. It is aimed at improving SQL skills and understanding data trends in Netflix's content library.

📁 What's in the File?

• netflix_sql_project.sql: A set of SQL queries written to analyze the Netflix dataset. These queries help in answering questions like:
  • Total number of movies and TV shows
  • Most common genres
  • Countries with the most content
  • Content trends over the years
  • Content rating distribution

🛠 Tools Used

• SQL (PostgreSQL)
• pgAdmin 4

📌 Purpose

The main goal of this project is to practice data analysis using SQL by working on a real-world dataset.

📊 Sample Questions Answered

• What is the total number of movies and TV shows on Netflix?
• Which country has produced the most content?
• What kind of content has Netflix added over time?
• Which genres are most common?
• How is content distributed across different ratings?

✅ How to Use

1. Open pgAdmin 4 and connect to your PostgreSQL server.
2. Import or create a table using the Netflix dataset.
3. Open the netflix_sql_project.sql file in pgAdmin's query tool.
4. Run the queries step-by-step to explore and analyze the dataset.

📚 Dataset Source

You can download the dataset from Kaggle - Netflix Movies and TV Shows