Foundations of Data Science - Tutorial Project: Credit Card Analysis

This project focuses on analyzing a credit card application dataset using R. It begins with importing the data, handling missing values, and setting variable types. The project then explores proximity measurements using Gower distance and visualizes the distance matrix. Correlation matrices are calculated for numerical variables. Furthermore, the project utilizes ggplot2 to create box plots and bar plots to visualize the relationship between different variables and credit approval status. The analysis includes discussing the patterns observed in the visualizations, such as outliers and median differences, providing insights into factors influencing credit approval. The assignment covers techniques learned in the Foundations of Data Science subject, focusing on data manipulation, visualization, and interpretation.