P2pLoans

Title: Lending Club Loan Interest: Factors Contributing Beyond FICO Score

Introduction:

The Lending Club is an online bank that claims to "cut the cost and complexities of bank lending and pass the savings on to borrowers.(how-peer-lending-works.action club). In this study we will use lending data on Loans made by Lending Club to find and quantify associations among the items that make up a borrowers profile. These data include information on 'Amount.Requested', 'Amount.Funded.By.Investors', 'Interest.Rate', 'Loan.Length', 'Loan.Purpose','Debt.To.Income.Ratio', 'State', 'Home.Ownership', 'Monthly.Income', 'FICO.Range', 'Open.CREDIT.Lines', 'Revolving.CREDIT.Balance', 'Inquiries.in.the.Last.6.Months'and 'Employment.Length'. All names have been changed to numbers to protect the innocent. The purpose of this study is to "identify and quantify associations between the interest rate of the loan and the other variables in the data set...taking into account the applicant's FICO score." prompt

Methods:

Statistical analysis techniques shall be applied using the 'R' r statistical software package running as a server on a Linux computer.

Data Collection

For our analysis we used sample of 2500 loans made the the Lending Club club program

References

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1. club https://www.lendingclub.com/home.action Lending Club, Suite 300 San Francisco, CA 94105, USA

1. r http://www.r-project.org/ The R Project for Statistical Computing, version 2.15.2 (2012-10-26) -- "Trick or Treat"

1. prompt https://class.coursera.org/dataanalysis-001/human_grading/view/courses/294/assessments/4/submissions Data Analysis Project 1, Coursera Data Analysis by Jeff Leek, winter 2013

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