Titanic Exploratory Data Analysis

Overview

End-to-end exploratory data analysis of the Titanic dataset to identify key factors influencing passenger survival using data cleaning, visualization, and feature engineering.

Dataset

• 891 passengers
• Target: Survived (0 = No, 1 = Yes)

Key Insights

• Females had significantly higher survival rates than males
• 1st class passengers survived more than lower classes
• Children and small families had higher survival chances
• Passengers with cabins and higher fares survived more often

Feature Engineering

• FamilySize
• IsAlone
• Has_Cabin
• Title (extracted from names)

Outputs

• EDA notebook with visualizations
• Automated profiling report: y_profile.html