Data Visualization and Exploratory Analysis

This project delves into loan behavior and borrower characteristics within the context of peer-to-peer lending. By investigating factors such as credit scores, income ranges, and loan statuses, the study seeks to uncover relationships and trends. Through visualizations and analysis, it sheds light on how borrower APR, rates, and repayment outcomes are influenced. The findings provide valuable insights for lenders to assess risk and make informed decisions in the lending process. Overall, the project contributes to a better understanding of loan dynamics and borrower profiles in the peer-to-peer lending landscape.