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An end-to-end exploratory data analysis (EDA) pipeline built on Zerve to analyze the socioeconomic and demographic factors influencing passenger survival rates from the Titanic disaster. The project features automated missing value imputation (median/mode) and high-fidelity custom data visualizations, highlighting the interaction between gender and passenger class.