Titanic survival rate

This excerpt describes an exploratory data analysis (EDA) of the Titanic dataset, focusing on factors influencing passenger survival using logistic regression and visualization. Key findings show that **gender**, **passenger class**, and **age** were strong predictors — females had ~14x higher survival odds, first-class passengers ~9.6x higher odds than third-class, and younger passengers had slightly better chances. The analysis was conducted in Python using libraries like pandas, seaborn, and statsmodels, with a Jupyter notebook and dataset provided for replication.