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This project explores a comprehensive analysis of Netflix's content, using a dataset that includes information on movies and TV shows available on the platform. The analysis covers various aspects such as content type, duration, rating, genres, and how these factors have evolved over time.

www.kaggle.com/code/amvshots01/netflix-dataset-analysis
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Netflix Content Trends and Insights Analysis
Tech Stack: Python (pandas, NumPy, Matplotlib, Seaborn)

  • Analyzed a dataset of 9000+ Netflix shows and movies to identify content trends, genres, and release patterns.
  • Applied data manipulation techniques using Python for thorough analysis and cleaning.
  • Created visualizations to showcase yearly trends, duration distribution, and genre evolution.
  • Presented findings with actionable insights for decision-making, focusing on genre shifts and country-based dominance.

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This project explores a comprehensive analysis of Netflix's content, using a dataset that includes information on movies and TV shows available on the platform. The analysis covers various aspects such as content type, duration, rating, genres, and how these factors have evolved over time.

www.kaggle.com/code/amvshots01/netflix-dataset-analysis

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python exploratory-data-analysis pandas seaborn matplotlib

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