This report presents an analysis of survival outcomes from the Titanic dataset using logistic regression and data visualization.
The study evaluates the influence of passenger class, gender, and age on survival probabilities. Results indicate that survival was strongly associated with gender and class: women and first-class passengers had substantially higher survival rates, while men and third-class passengers faced markedly lower odds. Age also played a significant role, with survival probability decreasing steadily as age increased. The logistic regression model quantifies these relationships, providing a clear statistical framework for understanding the factors that shaped survival on the Titanic.
Survival by Gender
Survival by Class
Gender and Class Interaction
Age Distribution
