Cleaning for titanic data

a three-phase data analysis pipeline built on the Titanic passenger dataset (891 rows, 12 columns). The central question driving the analysis is: what passenger characteristics — class, sex, age, fare, family size — most strongly correlate with survival? The pipeline covers raw data loading, systematic cleaning, feature engineering, exploratory visualization, and foundational mathematical operations.