Developer creates interactive Netflix catalog explorer using Python and open data

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A developer built an interactive data visualization application to explore Netflix's catalog using a public dataset. The tool was created with Python, pandas, Plotly, and Streamlit, analyzing 8,807 titles including movies and TV shows. It features summary indicators, charts by release year and content type, and breakdowns by country and genre. The project demonstrates connecting exploratory data analysis with reproducible deployment while acknowledging the dataset represents a historical snapshot.

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