Hello wonderful people. I hope we are doing great.
I have been working on personal projects lately and have spent some time exploring data on financial loans from Prosper Marketplace. I wanted to identify why people take loans on Prosper, including key factors that could influence the annual percentage rates on a loan.
The project’s major goal is to familiarize myself with how thorough exploratory data analysis can be. I have also taken some time to detail every step I took in this analysis. I hope it helps someone.
exploration.ipynb (3.4 MB)
Note: The omission of chart titles from my visuals is intentional since I only explored the data for most of the work. However, I have conducted some explanatory analysis with the key insights from the exploration here:
Link to notebook with explanatory insights
Key charts are labelled and properly annotated in the explanatory analysis.
For anyone interested, here is a link to the entire project on GitHub
I am open to all feedback and suggestions. Let’s keep learning and improving .
Click here to view the jupyter notebook file in a new tab