This dataset contains data on about 113,000 loans made in 2009. The dataset is from Prosper Marketplace, Inc. I started exploring this dataset by doing some data wrangling which involved assessing the data visually and programmatically and also changing the type of some of the columns.
- Investors rely on the credit grade of borrowers to decide whether to fund the loan or not.
- The credit grade of borrowers also determines if they will get the loan. A higher grade means there a very high chance they will get the loan.
- The state a borrower lives in has no effect on them getting a loan
- Owning a home increases borrowers' chances of getting investors' funding.
- More than 75% of the loans are paid back before the due date. $1000 is the most frequent amount owed after the due date.
- Unemployed borrowers and those who don't earn income have a harder time paying back their loans on time.
I choose the first 2 summary points to display in my presentation because they show a key metric in getting loans approved. I will be polishing the already made visualisations