🎬 Netflix Data Analysis – Unveiling Content Trends with PostgreSQL

This project explores the Netflix dataset to uncover meaningful insights into content trends, genres, and production patterns. Using PostgreSQL for advanced SQL queries and Visual Studio Code for database management, the analysis provides a comprehensive understanding of what drives viewership and content creation on Netflix.

Key Features:

📊 Genre Insights: Analyzed the most popular genres and their average movie durations.

🎥 Director Analytics: Identified top directors based on movie and TV show production.

🌍 Country Comparison: Determined the country with the highest number of comedy movies.

📅 Content Release Trends: Tracked director-specific releases across different years.

📑 Presentation of Results: Created a visually appealing presentation with graphs and insights to represent the findings clearly.

This project exemplifies the power of SQL in handling real-world datasets and transforming them into actionable insights, with results presented through a structured and informative presentation.