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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>Data Science Captone: Yelp Data Analysis</title>
<meta name="apple-mobile-web-app-capable" content="yes" />
<meta name="apple-mobile-web-app-status-bar-style" content="black-translucent" />
<meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
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.slides>section.future{-webkit-transform:translate3d(100%,0,0) rotateY(-90deg) translate3d(100%,0,0);-moz-transform:translate3d(100%,0,0) rotateY(-90deg) translate3d(100%,0,0);-ms-transform:translate3d(100%,0,0) rotateY(-90deg) translate3d(100%,0,0);transform:translate3d(100%,0,0) rotateY(-90deg) translate3d(100%,0,0)}.reveal .slides>section>section[data-transition=concave].past,.reveal.concave .slides>section>section.past{-webkit-transform:translate3d(0,-80%,0) rotateX(-70deg) translate3d(0,-80%,0);-moz-transform:translate3d(0,-80%,0) rotateX(-70deg) translate3d(0,-80%,0);-ms-transform:translate3d(0,-80%,0) rotateX(-70deg) translate3d(0,-80%,0);transform:translate3d(0,-80%,0) rotateX(-70deg) translate3d(0,-80%,0)}.reveal .slides>section>section[data-transition=concave].future,.reveal.concave .slides>section>section.future{-webkit-transform:translate3d(0,80%,0) rotateX(70deg) translate3d(0,80%,0);-moz-transform:translate3d(0,80%,0) rotateX(70deg) translate3d(0,80%,0);-ms-transform:translate3d(0,80%,0) rotateX(70deg) translate3d(0,80%,0);transform:translate3d(0,80%,0) rotateX(70deg) translate3d(0,80%,0)}.reveal .slides>section[data-transition=zoom].past,.reveal.zoom .slides>section.past{opacity:0;visibility:hidden;-webkit-transform:scale(16);-moz-transform:scale(16);-ms-transform:scale(16);-o-transform:scale(16);transform:scale(16)}.reveal .slides>section[data-transition=zoom].future,.reveal.zoom .slides>section.future{opacity:0;visibility:hidden;-webkit-transform:scale(0.2);-moz-transform:scale(0.2);-ms-transform:scale(0.2);-o-transform:scale(0.2);transform:scale(0.2)}.reveal .slides>section>section[data-transition=zoom].past,.reveal.zoom .slides>section>section.past{-webkit-transform:translate(0,-150%);-moz-transform:translate(0,-150%);-ms-transform:translate(0,-150%);-o-transform:translate(0,-150%);transform:translate(0,-150%)}.reveal .slides>section>section[data-transition=zoom].future,.reveal.zoom 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rotateY(-90deg);-moz-transform:translate3d(-100%,0,0) rotateY(-90deg);-ms-transform:translate3d(-100%,0,0) rotateY(-90deg);transform:translate3d(-100%,0,0) rotateY(-90deg)}.reveal.cube .slides>section.future{-webkit-transform-origin:0 0;-moz-transform-origin:0 0;-ms-transform-origin:0 0;transform-origin:0 0;-webkit-transform:translate3d(100%,0,0) rotateY(90deg);-moz-transform:translate3d(100%,0,0) rotateY(90deg);-ms-transform:translate3d(100%,0,0) rotateY(90deg);transform:translate3d(100%,0,0) rotateY(90deg)}.reveal.cube .slides>section>section.past{-webkit-transform-origin:0 100%;-moz-transform-origin:0 100%;-ms-transform-origin:0 100%;transform-origin:0 100%;-webkit-transform:translate3d(0,-100%,0) rotateX(90deg);-moz-transform:translate3d(0,-100%,0) rotateX(90deg);-ms-transform:translate3d(0,-100%,0) rotateX(90deg);transform:translate3d(0,-100%,0) rotateX(90deg)}.reveal.cube .slides>section>section.future{-webkit-transform-origin:0 0;-moz-transform-origin:0 0;-ms-transform-origin:0 0;transform-origin:0 0;-webkit-transform:translate3d(0,100%,0) rotateX(-90deg);-moz-transform:translate3d(0,100%,0) rotateX(-90deg);-ms-transform:translate3d(0,100%,0) rotateX(-90deg);transform:translate3d(0,100%,0) rotateX(-90deg)}.reveal.page .slides{-webkit-perspective-origin:0 50%;-moz-perspective-origin:0 50%;-ms-perspective-origin:0 50%;perspective-origin:0 50%;-webkit-perspective:3000px;-moz-perspective:3000px;-ms-perspective:3000px;perspective:3000px}.reveal.page .slides section{padding:30px;min-height:700px;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}.reveal.page .slides section.past{z-index:12}.reveal.page .slides section:not(.stack):before{content:'';position:absolute;display:block;width:100%;height:100%;left:0;top:0;background:rgba(0,0,0,.1);-webkit-transform:translateZ(-20px);-moz-transform:translateZ(-20px);-ms-transform:translateZ(-20px);-o-transform:translateZ(-20px);transform:translateZ(-20px)}.reveal.page .slides section:not(.stack):after{content:'';position:absolute;display:block;width:90%;height:30px;left:5%;bottom:0;background:0;z-index:1;border-radius:4px;box-shadow:0 95px 25px rgba(0,0,0,.2);-webkit-transform:translateZ(-90px) rotateX(65deg)}.reveal.page .slides>section.stack{padding:0;background:0}.reveal.page .slides>section.past{-webkit-transform-origin:0 0;-moz-transform-origin:0 0;-ms-transform-origin:0 0;transform-origin:0 0;-webkit-transform:translate3d(-40%,0,0) rotateY(-80deg);-moz-transform:translate3d(-40%,0,0) rotateY(-80deg);-ms-transform:translate3d(-40%,0,0) rotateY(-80deg);transform:translate3d(-40%,0,0) rotateY(-80deg)}.reveal.page .slides>section.future{-webkit-transform-origin:100% 0;-moz-transform-origin:100% 0;-ms-transform-origin:100% 0;transform-origin:100% 0;-webkit-transform:translate3d(0,0,0);-moz-transform:translate3d(0,0,0);-ms-transform:translate3d(0,0,0);transform:translate3d(0,0,0)}.reveal.page .slides>section>section.past{-webkit-transform-origin:0 0;-moz-transform-origin:0 0;-ms-transform-origin:0 0;transform-origin:0 0;-webkit-transform:translate3d(0,-40%,0) rotateX(80deg);-moz-transform:translate3d(0,-40%,0) rotateX(80deg);-ms-transform:translate3d(0,-40%,0) rotateX(80deg);transform:translate3d(0,-40%,0) rotateX(80deg)}.reveal.page .slides>section>section.future{-webkit-transform-origin:0 100%;-moz-transform-origin:0 100%;-ms-transform-origin:0 100%;transform-origin:0 100%;-webkit-transform:translate3d(0,0,0);-moz-transform:translate3d(0,0,0);-ms-transform:translate3d(0,0,0);transform:translate3d(0,0,0)}.reveal .slides section[data-transition=fade],.reveal.fade .slides section,.reveal.fade .slides>section>section{-webkit-transform:none;-moz-transform:none;-ms-transform:none;-o-transform:none;transform:none;-webkit-transition:opacity .5s;-moz-transition:opacity .5s;-ms-transition:opacity .5s;-o-transition:opacity .5s;transition:opacity .5s}.reveal.fade.overview .slides section,.reveal.fade.overview 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section:before{display:none!important}.reveal.overview .slides section>section{opacity:1;cursor:pointer}.reveal.overview .slides section:hover{background:rgba(0,0,0,.3)}.reveal.overview .slides section.present{background:rgba(0,0,0,.3)}.reveal.overview .slides>section.stack{padding:0;background:0;overflow:visible}.reveal .pause-overlay{position:absolute;top:0;left:0;width:100%;height:100%;background:#000;visibility:hidden;opacity:0;z-index:100;-webkit-transition:all 1s ease;-moz-transition:all 1s ease;-ms-transition:all 1s ease;-o-transition:all 1s ease;transition:all 1s ease}.reveal.paused .pause-overlay{visibility:visible;opacity:1}.no-transforms{overflow-y:auto}.no-transforms .reveal .slides{position:relative;width:80%;height:auto!important;top:0;left:50%;margin:0;text-align:center}.no-transforms .reveal .controls,.no-transforms .reveal .progress{display:none!important}.no-transforms .reveal .slides section{display:block!important;opacity:1!important;position:relative!important;height:auto;min-height:auto;top:0;left:-50%;margin:70px 0;-webkit-transform:none;-moz-transform:none;-ms-transform:none;-o-transform:none;transform:none}.no-transforms .reveal .slides section section{left:0}.no-transition{-webkit-transition:none;-moz-transition:none;-ms-transition:none;-o-transition:none;transition:none}.reveal .state-background{position:absolute;width:100%;height:100%;background:rgba(0,0,0,0);-webkit-transition:background 800ms ease;-moz-transition:background 800ms ease;-ms-transition:background 800ms ease;-o-transition:background 800ms ease;transition:background 800ms ease}.alert .reveal .state-background{background:rgba(200,50,30,.6)}.soothe .reveal .state-background{background:rgba(50,200,90,.4)}.blackout .reveal .state-background{background:rgba(0,0,0,.6)}.whiteout .reveal .state-background{background:rgba(255,255,255,.6)}.cobalt .reveal .state-background{background:rgba(22,152,213,.6)}.mint .reveal .state-background{background:rgba(22,213,75,.6)}.submerge .reveal .state-background{background:rgba(12,25,77,.6)}.lila .reveal .state-background{background:rgba(180,50,140,.6)}.sunset .reveal .state-background{background:rgba(255,122,0,.6)}.reveal.rtl .slides,.reveal.rtl .slides h1,.reveal.rtl .slides h2,.reveal.rtl .slides h3,.reveal.rtl .slides h4,.reveal.rtl .slides h5,.reveal.rtl .slides h6{direction:rtl;font-family:sans-serif}.reveal.rtl pre,.reveal.rtl code{direction:ltr}.reveal.rtl ol,.reveal.rtl ul{text-align:right}.reveal.rtl .progress span{float:right}.reveal aside.notes{display:none}.zoomed .reveal *,.zoomed .reveal :before,.zoomed .reveal :after{-webkit-transform:none!important;-moz-transform:none!important;-ms-transform:none!important;transform:none!important;-webkit-backface-visibility:visible!important;-moz-backface-visibility:visible!important;-ms-backface-visibility:visible!important;backface-visibility:visible!important}.zoomed .reveal .progress,.zoomed .reveal .controls{opacity:0}.zoomed .reveal .roll span{background:0}.zoomed .reveal .roll span:after{visibility:hidden}
</style>
<style type="text/css" >
/**
* A simple theme for reveal.js presentations, similar
* to the default theme. The accent color is darkblue.
*
* This theme is Copyright (C) 2012 Owen Versteeg, https://github.com/StereotypicalApps. It is MIT licensed.
* reveal.js is Copyright (C) 2011-2012 Hakim El Hattab, http://hakim.se
*/
/*********************************************
* GLOBAL STYLES
*********************************************/
body {
background: white;
background-color: white; }
.reveal {
font-family: "Lato", sans-serif;
font-size: 36px;
font-weight: 200;
letter-spacing: -0.02em;
color: black; }
::selection {
color: white;
background: rgba(0, 0, 0, 0.99);
text-shadow: none; }
/*********************************************
* HEADERS
*********************************************/
.reveal h1,
.reveal h2,
.reveal h3,
.reveal h4,
.reveal h5,
.reveal h6 {
margin: 0 0 20px 0;
color: black;
font-family: "News Cycle", Impact, sans-serif;
line-height: 0.9em;
letter-spacing: 0.02em;
text-transform: none;
text-shadow: none; }
.reveal h1 {
text-shadow: 0px 0px 6px rgba(0, 0, 0, 0.2); }
/*********************************************
* LINKS
*********************************************/
.reveal a:not(.image) {
color: darkblue;
text-decoration: none;
-webkit-transition: color .15s ease;
-moz-transition: color .15s ease;
-ms-transition: color .15s ease;
-o-transition: color .15s ease;
transition: color .15s ease; }
.reveal a:not(.image):hover {
color: #0000f1;
text-shadow: none;
border: none; }
.reveal .roll span:after {
color: #fff;
background: #00003f; }
/*********************************************
* IMAGES
*********************************************/
.reveal section img {
margin: 15px 0px;
background: rgba(255, 255, 255, 0.12);
border: 4px solid black;
box-shadow: 0 0 10px rgba(0, 0, 0, 0.15);
-webkit-transition: all .2s linear;
-moz-transition: all .2s linear;
-ms-transition: all .2s linear;
-o-transition: all .2s linear;
transition: all .2s linear; }
.reveal a:hover img {
background: rgba(255, 255, 255, 0.2);
border-color: darkblue;
box-shadow: 0 0 20px rgba(0, 0, 0, 0.55); }
/*********************************************
* NAVIGATION CONTROLS
*********************************************/
.reveal .controls div.navigate-left,
.reveal .controls div.navigate-left.enabled {
border-right-color: darkblue; }
.reveal .controls div.navigate-right,
.reveal .controls div.navigate-right.enabled {
border-left-color: darkblue; }
.reveal .controls div.navigate-up,
.reveal .controls div.navigate-up.enabled {
border-bottom-color: darkblue; }
.reveal .controls div.navigate-down,
.reveal .controls div.navigate-down.enabled {
border-top-color: darkblue; }
.reveal .controls div.navigate-left.enabled:hover {
border-right-color: #0000f1; }
.reveal .controls div.navigate-right.enabled:hover {
border-left-color: #0000f1; }
.reveal .controls div.navigate-up.enabled:hover {
border-bottom-color: #0000f1; }
.reveal .controls div.navigate-down.enabled:hover {
border-top-color: #0000f1; }
/*********************************************
* PROGRESS BAR
*********************************************/
.reveal .progress {
background: rgba(0, 0, 0, 0.2); }
.reveal .progress span {
background: darkblue;
-webkit-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
-moz-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
-ms-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
-o-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985); }
</style>
<style type="text/css">
.reveal h1 {
font-size: 2.5em;
}
.reveal h1,
.reveal h2,
.reveal h3,
.reveal h4,
.reveal h5,
.reveal h6 {
margin-bottom: .6em;
}
.reveal p,
.reveal table {
margin-bottom: 1em;
}
.reveal li {
margin-bottom: .4em;
}
.reveal ul ul,
.reveal ul ol,
.reveal ol ol,
.reveal ol ul {
margin-top: .4em;
}
.reveal .slides {
text-align: left;
}
.reveal small {
font-size: 0.85em;
}
.reveal pre {
margin-top: 0;
max-width: 95%;
border: 1px solid #ccc;
white-space: pre-wrap;
margin-bottom: 1em;
}
.reveal pre code {
display: block; padding: 0.5em;
font-size: 1.6em;
line-height: 1.1em;
background-color: white;
overflow: visible;
max-height: none;
word-wrap: normal;
}
.reveal code {
overflow: visible;
max-height: none;
}
.reveal code.r {
background-color: #F8F8F8;
}
.reveal code.cpp {
background-color: #F8F8F8;
}
.reveal section del {
text-decoration: none;
color: #AAB1BA;
}
.reveal section img {
border: none;
}
.reveal section .fieldError {
margin-bottom: 25px;
}
.reveal section .fieldError span {
color: red;
}
.prompt .reveal .state-background {
background: #C6D7DC;
}
.quiz-multichoice .reveal .state-background {
background: rgba(254,220,179,1);
}
.quiz-multichoice .reveal ul {
list-style-type: none;
margin-bottom: 30px;
}
.quiz-multichoice .reveal li {
margin-top: 15px;
}
.quiz-multichoice .reveal .quizFeedback {
margin-bottom: 30px;
}
.quiz-multichoice .reveal .quizFeedback img {
border: none;
box-shadow: none;
background: transparent;
float: left;
margin-top: -15px;
}
.quiz-multichoice .reveal .quizFeedback span {
font-size: 1.4em;
margin-left: 12px;
}
.section .reveal .state-background {
background: #96A2B6;
}
.section .reveal h1,
.section .reveal h2,
.section .reveal p {
color: white;
margin-top: 50px;
}
.sub-section .reveal .state-background {
background: #E7E8EA
}
.sub-section .reveal h2,
.sub-section .reveal p {
color: #63717B;
margin-top: 50px;
}
.reveal strong {
color: #25679E;
}
.reveal .controls {
right: -20px;
bottom: 5px;
}
.reveal .controls div.navigate-left {
top: 75px;
}
.reveal .controls div.navigate-right {
left: 54px;
top: 75px;
}
.reveal .controls div.navigate-up {
display: none;
}
.reveal .controls div.navigate-down {
display: none;
}
/*********************************************
* NAVIGATION CONTROLS
*********************************************/
.reveal .controls div.navigate-left,
.reveal .controls div.navigate-left.enabled {
border-right-color: #25679E;
}
.reveal .controls div.navigate-right,
.reveal .controls div.navigate-right.enabled {
border-left-color: #25679E;
}
.reveal .controls div.navigate-up,
.reveal .controls div.navigate-up.enabled {
border-bottom-color: #25679E;
}
.reveal .controls div.navigate-down,
.reveal .controls div.navigate-down.enabled {
border-top-color: #25679E;
}
.reveal .controls div.navigate-left.enabled:hover {
border-right-color: #267EC8;
}
.reveal .controls div.navigate-right.enabled:hover {
border-left-color: #267EC8;
}
.reveal .controls div.navigate-up.enabled:hover {
border-bottom-color: #267EC8;
}
.reveal .controls div.navigate-down.enabled:hover {
border-top-color: #267EC8;
}
.reveal .progress span {
background: #25679E;
}
.reveal .slides>section,
.reveal .slides>section>section {
padding: 0px 0px;
}
.reveal table {
border-width: 1px;
border-spacing: 2px;
border-style: dotted;
border-color: gray;
border-collapse: collapse;
font-size: 0.7em;
}
.reveal table th {
border-width: 1px;
padding-left: 10px;
padding-right: 25px;
font-weight: bold;
border-style: dotted;
border-color: gray;
}
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<h1>Data Science Captone: Yelp Data Analysis</h1><p>Jaehyun Shin<br/>21 Nov 2015</p>
<div class="slideContent" >
</div>
</section>
<section data-transition="linear" data-transition-speed="default">
<h3>The purpose of this Study</h3>
<div class="slideContent" >
<ul>
<li><span style="font-size:40px;font-weight:bold">Find the correlation between a variety of attribution and rating including additional service which business provides.</span>
<br/><br/></li>
<li><span style="font-size:40px;font-weight:bold">Build rating prediction model based on attribute data.</span></li>
</ul>
</div>
</section>
<section data-transition="linear" data-transition-speed="default">
<h3>Business Attributes And Category</h3>
<div class="slideContent" >
<ul>
<li>Category (783 categories exist.)</li>
</ul>
<pre><code>[1] "Doctors" "Health & Medical" "Nightlife"
[4] "Active Life" "Mini Golf" "Golf"
[7] "Shopping" "Home Services"
</code></pre>
<ul>
<li>Attributes (78 attributes exist.)</li>
</ul>
<pre><code>[1] "By.Appointment.Only" "Happy.Hour" "Accepts.Credit.Cards"
[4] "Good.For.Groups" "Outdoor.Seating" "Price.Range"
[7] "Good.for.Kids" "Alcohol"
</code></pre>
</div>
</section>
<section data-transition="linear" data-transition-speed="default">
<h3>Methodology</h3>
<div class="slideContent" >
<p>Model an prediction algorithm through the relevant data.
Since the relevant data is to measure the correlation between attributes and stars, “classification modeling” will be used, and “rpart”, a type of the algorithm, will be adopted.</p>
<pre><code> RMSE Rsquared
0.70710678 0.03560378
</code></pre>
<p>The error level is comparatively high when using <code>postResample</code> to measure. But while considering the fact that the relevant value is rating, the difference between the estimation and the actual measured value is examined.</p>
</div>
</section>
<section data-transition="linear" data-transition-speed="default">
<h3>Final Analysis</h3>
<div class="mediaInline slideContent" >
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" alt="plot of chunk unnamed-chunk-5"/> </p>
<p>Cases in which the error range of the ratings is below 0.5 is 72.1830986% of all data.</p>
<p>As shown on the graph, the difference between the estimation and actual measured value is mostly concentrated between -0.5 ~ 0.5, and since the median value and average value are very close to 0, the data is reliable.</p>
</div>
</section>
</div>
</div>
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/**
Head JS The only script in your <HEAD>
Copyright Tero Piirainen (tipiirai)
License MIT / http://bit.ly/mit-license
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