This is the extended version of our CA2 project. We added 5 more questions covering ANOVA, Linear Regression and Polynomial Regression since these topics were taught after we submitted the first part. The analysis is still based on the Titanic dataset and follows the same format as before. Done by Rishika Kumari and Koina Paul.

This project continues the analysis of the Titanic dataset with 25 new analytical questions. The focus of this assessment is on advanced visualization techniques including histograms, boxplots, scatter plots, correlation analysis, and line charts. These visualizations help uncover deeper patterns related to passenger survival, demographics, and socio-economic factors. The objective is to extract meaningful insights by applying multiple statistical and graphical methods to the same dataset.

"This project presents an exploratory data analysis of the Titanic dataset to identify key factors affecting passenger survival. By applying statistical methods and visualizations, it highlights how attributes like gender, passenger class, and age influenced survival outcomes."