01dotun/udacity-prosper-dataset

This is the final project of my nanodegree. An exploratory and explanatory data visualization of Prosper dataset.

DATASET The Prosper loan dataset contains 113,937 loans with 81 variables on each loan. During the wrangling andexploratory phase of the dataset, I removed columns that were not necessary for my analysis, I also changed some columns types as required and made the variables IncomeRange, EmploymentStatus, and LoanStatus ordered categorical data types.

KEY FINDINGS Most of the loans are still in progress and professional jobs has the most amount of loan requests

customers borrower money mostly for debt reconciliation

There is a strong negative relationship between lender's yield andloan amount

Borrower's rate and APR have a very strong correlation

prospers score for most loan borrowers ranges from 4.0-8.0

Unemployed persons have the highest interest rate

if a customer is a homeowner they have a lower interest rate.

KEY INSIGHTS FOR PRESENTATION

For customers with high credit score they have a lower interest rate

Borrowers rate and APR changes over the years

Most employed persons and high income earners are homeowners