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<!DOCTYPE html>
<html>
<head>
<title>EDA on LendingClub Data</title>
<meta charset="utf-8">
<meta name="description" content="EDA on LendingClub Data">
<meta name="author" content="Liangquan Zhou, Lu Han, Xiaoyao Yang">
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<body style="opacity: 0">
<slides class="layout-widescreen">
<!-- LOGO SLIDE -->
<slide class="title-slide segue nobackground">
<hgroup class="auto-fadein">
<h1>EDA on LendingClub Data</h1>
<h2></h2>
<p>Liangquan Zhou, Lu Han, Xiaoyao Yang<br/></p>
</hgroup>
<article></article>
</slide>
<!-- SLIDES -->
<slide class="" id="slide-1" style="background:;">
<article data-timings="">
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<h2>Outline</h2>
<ul>
<li><h3>Background<h3></li>
<li><h3>Data Source<h3></li>
<li><h3>Visualization<h3></li>
</ul>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="segue dark" id="slide-2" style="background:;">
<hgroup>
<h2>Background</h2>
</hgroup>
<article data-timings="">
</article>
<!-- Presenter Notes -->
</slide>
<slide class="" id="slide-3" style="background:;">
<article data-timings="">
<p><a href = "http://en.wikipedia.org/wiki/Lending_Club"> <img src = "LendingClub_logo.jpg"/></a></p>
<ul class = "build incremental">
<li>The biggest <a href="http://en.wikipedia.org/wiki/Peer-to-peer_lending">Peer-to-Peer lending</a> (P2P) company in the world.</li>
<li>Operates an online lending platform that enables borrowers to obtain a loan, and investors to purchase notes backed by payments made on loans. </li>
<li>Founded on 2006, went Public on December 11, 2014.</li>
</ul>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="" id="slide-4" style="background:;">
<hgroup>
<h2>How P2P works?</h2>
</hgroup>
<article data-timings="">
<p><t1><img src = "LC.jpg"></img></t1></p>
<ul>
<li><p>Borrowers complete applications on LendingClub.com</p></li>
<li><p>Lending Club evaluates the information, determines an interest rate, and instantly presents a variety of offers to qualified borrowers.</p></li>
<li><p>Investors select loans to invest and earn monthly returns.</p>
<ul>
<li><a href="https://www.lendingclub.com/browse/browse.action">https://www.lendingclub.com/browse/browse.action</a></li>
</ul></li>
</ul>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="" id="slide-5" style="background:;">
<hgroup>
<h2>Advantages</h2>
</hgroup>
<article data-timings="">
<ul class = "build incremental">
<li>For Borrowers
<ul>
<li>Easy online application</li>
<li>Low fixed rates</li>
<li>Fixed monthly payments</li>
<li>Flexible terms</li>
<li>No prepayment penalties</li>
</ul></li>
</ul>
<p><t2></p>
<ul class = "build incremental">
<li>For Investors
<ul>
<li>Returns from 5% to 25%</li>
<li>Monthly cash flow</li>
<li>Easy to diversify many loans</li>
</ul></li>
</ul>
<p></t2></p>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="" id="slide-6" style="background:;">
<hgroup>
<h2>Concerns</h2>
</hgroup>
<article data-timings="">
<ul class = "build incremental">
<li>Loans could be defaulted. </li>
<li>If a loan is defaulted:
<ul>
<li>impact on the borrower's credit score.</li>
<li>investment losses for investors.</li>
</ul></li>
</ul>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="" id="slide-7" style="background:;">
<hgroup>
<h2>Objective: Exploratory Data Analysis on Lending Club Data</h2>
</hgroup>
<article data-timings="">
<p><q>Explore the influential factors of loans properties and major borrower features.</q></p>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="segue dark" id="slide-8" style="background:;">
<hgroup>
<h2>Data Source</h2>
</hgroup>
<article data-timings="">
</article>
<!-- Presenter Notes -->
</slide>
<slide class="" id="slide-9" style="background:;">
<hgroup>
<h2>Data Introduction</h2>
</hgroup>
<article data-timings="">
<ul class = "build incremental">
<li><p>Lending Club publish all issued loans data. </p>
<ul>
<li><a href="https://www.lendingclub.com/info/download-data.action">https://www.lendingclub.com/info/download-data.action</a></li>
</ul></li>
<li><p>More than 400 thousands loans. From July 2007 to September 2014.</p></li>
<li><p>Each loan record contains about 100 features, including: </p>
<ul>
<li><font color = "red">Loan Properties</font>: Loan Amount, Loan Grade, Term, Interest Rate, Loan Purpose, etc.</li>
<li><font color = "red">Borrower Profile</font>: Annual Income, Credit Score (<a href="http://en.wikipedia.org/wiki/Credit_score_in_the_United_States#FICO_score">FICO Score</a>), <a href="http://en.wikipedia.org/wiki/Debt-to-income_ratio">Debt-to-Income Ratio</a>, Address, Home Ownership, Open Credit Lines, Delinquency History, etc.</li>
<li>Loan Statistics: Pricipal received, Interest received, Last Payment, Next Payment, Late Fees, Recoveries, etc.</li>
</ul></li>
</ul>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="" id="slide-10" style="background:;">
<hgroup>
<h2>A snapshot of data...</h2>
</hgroup>
<article data-timings="">
<p><t4><img src = "data_sample.jpg"/></t4> <br> <br> <br> <br> <br> <h2>...</h2></p>
<p><br> <br> <br> <br> <br> <br> </p>
<h2 align = "center">...</h2>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="" id="slide-11" style="background:;">
<hgroup>
<h2>Data Processing</h2>
</hgroup>
<article data-timings="">
<ul class = "build incremental">
<li><p>Keep variables we are interested in. </p>
<ul>
<li><font color = "red">Loan Properties</font>: Loan Amount, Loan Grade, Term, Loan Purpose.</li>
<li><font color = "red">Borrower Profile</font>: Annual Income, Credit Score, Debt-to-Income Ratio, Address, Home Ownership, Open Accounts, Delinquency History. </li>
</ul></li>
<li><p>Drop missing values and outliers. </p></li>
<li><p>Reformatting and Reshaping.</p></li>
</ul>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="segue dark" id="slide-12" style="background:;">
<hgroup>
<h2>Visualization</h2>
</hgroup>
<article data-timings="">
</article>
<!-- Presenter Notes -->
</slide>
<slide class="" id="slide-13" style="background:;">
<hgroup>
<h2>Visualization</h2>
</hgroup>
<article data-timings="">
<ul class = "build incremental">
<li><p>For Loan Properties:</p>
<ul>
<li>Amount</li>
<li>Grade</li>
<li>Term</li>
<li>Purpose</li>
</ul></li>
<li><p>For Borrower Profiles:</p>
<ul>
<li>Annual income</li>
<li>Credit Score</li>
<li>Debt-to-Income Ratio</li>
<li>Bank Account Delinquency History</li>
</ul></li>
</ul>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="" id="slide-14" style="background:;">
<hgroup>
<h2>Total Loan Amount Trend (in millions)</h2>
</hgroup>
<article data-timings="">
<div id = 'chart1' class = 'rChart nvd3'></div>
<script type='text/javascript'>
$(document).ready(function(){
drawchart1()
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function drawchart1(){
var opts = {
"dom": "chart1",
"width": 800,
"height": 400,
"x": "issue_d",
"y": "loan_amnt",
"group": "grade",
"type": "stackedAreaChart",
"id": "chart1"
},
data = [
{
"grade": "A",
"issue_d": 2007,
"loan_amnt": 0
},
{
"grade": "A",
"issue_d": 2008,
"loan_amnt": 2
},
{
"grade": "A",
"issue_d": 2009,
"loan_amnt": 9
},
{
"grade": "A",
"issue_d": 2010,
"loan_amnt": 25
},
{
"grade": "A",
"issue_d": 2011,
"loan_amnt": 52
},
{
"grade": "A",
"issue_d": 2012,
"loan_amnt": 121
},
{
"grade": "A",
"issue_d": 2013,
"loan_amnt": 271
},
{
"grade": "A",
"issue_d": 2014,
"loan_amnt": 444
},
{
"grade": "B",
"issue_d": 2007,
"loan_amnt": 1
},
{
"grade": "B",
"issue_d": 2008,
"loan_amnt": 5
},
{
"grade": "B",
"issue_d": 2009,
"loan_amnt": 16
},
{
"grade": "B",
"issue_d": 2010,
"loan_amnt": 40
},
{
"grade": "B",
"issue_d": 2011,
"loan_amnt": 75
},
{
"grade": "B",
"issue_d": 2012,
"loan_amnt": 220
},
{
"grade": "B",
"issue_d": 2013,
"loan_amnt": 596
},
{
"grade": "B",
"issue_d": 2014,
"loan_amnt": 715
},
{
"grade": "C",
"issue_d": 2007,
"loan_amnt": 1
},
{
"grade": "C",
"issue_d": 2008,
"loan_amnt": 5
},
{
"grade": "C",
"issue_d": 2009,
"loan_amnt": 13
},
{
"grade": "C",
"issue_d": 2010,
"loan_amnt": 27
},
{
"grade": "C",
"issue_d": 2011,
"loan_amnt": 48
},
{
"grade": "C",
"issue_d": 2012,
"loan_amnt": 153
},
{
"grade": "C",
"issue_d": 2013,
"loan_amnt": 567
},
{
"grade": "C",
"issue_d": 2014,
"loan_amnt": 830
},
{
"grade": "D",
"issue_d": 2007,
"loan_amnt": 1
},
{
"grade": "D",
"issue_d": 2008,
"loan_amnt": 4
},
{
"grade": "D",
"issue_d": 2009,
"loan_amnt": 9
},
{
"grade": "D",
"issue_d": 2010,
"loan_amnt": 21
},
{
"grade": "D",
"issue_d": 2011,
"loan_amnt": 37
},
{
"grade": "D",
"issue_d": 2012,
"loan_amnt": 114
},
{
"grade": "D",
"issue_d": 2013,
"loan_amnt": 283
},
{
"grade": "D",
"issue_d": 2014,
"loan_amnt": 607
},
{
"grade": "E",
"issue_d": 2007,
"loan_amnt": 1
},
{
"grade": "E",
"issue_d": 2008,
"loan_amnt": 3
},
{
"grade": "E",
"issue_d": 2009,
"loan_amnt": 4
},
{
"grade": "E",
"issue_d": 2010,
"loan_amnt": 12
},
{
"grade": "E",
"issue_d": 2011,
"loan_amnt": 31
},
{
"grade": "E",
"issue_d": 2012,
"loan_amnt": 70
},
{
"grade": "E",
"issue_d": 2013,
"loan_amnt": 161
},
{
"grade": "E",
"issue_d": 2014,
"loan_amnt": 300
},
{
"grade": "F",
"issue_d": 2007,
"loan_amnt": 1
},
{
"grade": "F",
"issue_d": 2008,
"loan_amnt": 1
},
{
"grade": "F",
"issue_d": 2009,
"loan_amnt": 1
},
{
"grade": "F",
"issue_d": 2010,
"loan_amnt": 5
},
{
"grade": "F",
"issue_d": 2011,
"loan_amnt": 15
},
{
"grade": "F",
"issue_d": 2012,
"loan_amnt": 33
},
{
"grade": "F",
"issue_d": 2013,
"loan_amnt": 84
},
{
"grade": "F",
"issue_d": 2014,
"loan_amnt": 89
},
{
"grade": "G",
"issue_d": 2007,
"loan_amnt": 0
},
{
"grade": "G",
"issue_d": 2008,
"loan_amnt": 1
},
{
"grade": "G",
"issue_d": 2009,
"loan_amnt": 1
},
{
"grade": "G",
"issue_d": 2010,
"loan_amnt": 2
},
{
"grade": "G",
"issue_d": 2011,
"loan_amnt": 4
},
{
"grade": "G",
"issue_d": 2012,
"loan_amnt": 7
},
{
"grade": "G",
"issue_d": 2013,
"loan_amnt": 20
},
{
"grade": "G",
"issue_d": 2014,
"loan_amnt": 30
}
]
if(!(opts.type==="pieChart" || opts.type==="sparklinePlus" || opts.type==="bulletChart")) {
var data = d3.nest()
.key(function(d){
//return opts.group === undefined ? 'main' : d[opts.group]
//instead of main would think a better default is opts.x
return opts.group === undefined ? opts.y : d[opts.group];
})
.entries(data);
}
if (opts.disabled != undefined){
data.map(function(d, i){
d.disabled = opts.disabled[i]
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}
nv.addGraph(function() {
var chart = nv.models[opts.type]()
.width(opts.width)
.height(opts.height)
if (opts.type != "bulletChart"){
chart
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.y(function(d) { return d[opts.y] })
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chart.xAxis
.axisLabel("Year")
chart.yAxis
.axisLabel("Total Loan Amount")
.width( 62)
d3.select("#" + opts.id)
.append('svg')
.datum(data)
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nv.utils.windowResize(chart.update);
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<ul class = "build incremental">
<li>The P2P Lending Market grows really fast in recent 3 years.</li>
</ul>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="" id="slide-15" style="background:;">
<hgroup>
<h2>Loan Amount by States</h2>
</hgroup>
<article data-timings="">
<p><img src="assets/fig/unnamed-chunk-2.png" alt="plot of chunk unnamed-chunk-2"> </p>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="" id="slide-16" style="background:;">
<hgroup>
<h2>Loan Purpose Decomposition</h2>
</hgroup>
<article data-timings="">
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<script type='text/javascript'>
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"type": "bar",
"marker": {
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"legend": {
"enabled": false
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"title": {
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</article>
<!-- Presenter Notes -->
</slide>
<slide class="" id="slide-17" style="background:;">
<hgroup>
<h2>Default Rate Decomposition by Loan Grade</h2>
</hgroup>
<article data-timings="">
<script type='text/javascript' src=C:/Users/Liangquan Zhou/Documents/R/win-library/3.0/rCharts/libraries/highcharts/js/jquery-1.9.1.min.js></script>
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<p><style>
.rChart {
display: block;
margin-left: auto;
margin-right: auto;
width: 800px;
height: 400px;
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<div id = 'chart2' class = 'rChart highcharts'></div>
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"title": {
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"yAxis": [
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"text": "default_rate"
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"series": [
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[