In this project, I perform an exploratory data analysis on Netflix’s movie and TV show catalog using a publicly available dataset from Kaggle. The analysis focuses on understanding the composition and evolution of Netflix’s content—examining variables such as content type, genres, release years, duration, and country of origin. Using SQL for data querying and Python libraries like pandas, matplotlib, and seaborn for analysis and visualization, I reveal patterns and trends in how Netflix builds and organizes its global library.

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