Data analysis

🎬 Netflix Movies & TV Shows Analysis Excited to share my latest Exploratory Data Analysis (EDA) project on the Netflix Titles dataset using Python. 🔹 Cleaned and preprocessed 8,800+ Netflix records, handled missing values, and engineered new features for deeper analysis. 🔹 Explored content trends by type, release year, ratings, genres, countries, directors, and TV show seasons. 🔹 Built interactive and static visualizations with Pandas, Matplotlib, Seaborn, and Plotly to uncover meaningful insights. 🔹 Key findings showed Movies dominate the catalog, Drama is the most popular genre, and content growth accelerated after 2015. 🔹 The project also highlighted leading content-producing countries and patterns in TV show seasons. 🔹 This project strengthened my skills in data cleaning, feature engineering, visualization, and data storytelling.