Titanic Data Analysis using Python In this project, I conducted an exploratory data analysis (EDA) on the Titanic dataset using Python, Pandas, and Matplotlib. I analyzed survival rates by class, age, and gender; identified key passenger groups (such as minors, first-class females, and top fare payers); and compared survivors vs. non-survivors through statistical measures and visualizations. Key skills: Data cleaning, grouping, and filtering with Pandas. Data visualization with Matplotlib (bar charts, histograms). Extracting insights to understand factors influencing survival. This project demonstrates my ability to convert raw data into actionable insights through analysis and visualization
