This report analyzes two financial datasets using data science methods in R. The first dataset focuses on regression analysis to examine factors related to loan amounts, while the second dataset focuses on classification analysis to predict credit card default behavior. The report includes data cleaning, summary statistics, histogram analysis, log transformations, and theoretical distribution analysis.