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index.html
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<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
<meta name="description" content="">
<meta name="author" content="DS3001 - The Sommeliers">
<link rel="icon" href="images/favicon.ico">
<title>DS3001 - The Sommeliers</title>
<!-- Bootstrap core CSS -->
<link href="css/bootstrap.min.css" rel="stylesheet">
<!-- Custom styles for this template -->
<link href="css/index.css" rel="stylesheet">
</head>
<body>
<nav class="navbar navbar-expand-md navbar-dark bg-dark fixed-top">
<a class="navbar-brand" href="#">DS3001</a>
<button class="navbar-toggler" type="button" data-toggle="collapse" data-target="#navbarsExampleDefault" aria-controls="navbarsExampleDefault" aria-expanded="false" aria-label="Toggle navigation">
<span class="navbar-toggler-icon"></span>
</button>
<div class="collapse navbar-collapse" id="navbarsExampleDefault">
<ul class="navbar-nav mr-auto">
<li class="nav-item active">
<a class="nav-link" href="#">Home <span class="sr-only">(current)</span></a>
</li>
<li class="nav-item">
<a class="nav-link" href="dataVisualization.html">Data Visualization</a>
</li>
<li class="nav-item dropdown">
<a class="nav-link dropdown-toggle" href="javascript:void(0)" id="dropdown01" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false">Data Analysis</a>
<div class="dropdown-menu" aria-labelledby="dropdown01">
<a class="dropdown-item" href="DataAnalysis/price-vs-variety.html">Price / Variety</a>
<a class="dropdown-item" href="DataAnalysis/quality-vs-price.html">Quality / Price</a>
<a class="dropdown-item" href="DataAnalysis/variety-vs-country.html">Variety / Country</a>
<a class="dropdown-item" href="DataAnalysis/twitter-analysis.html">Twitter Analysis</a>
</div>
</li>
</ul>
</div>
</nav>
<div class="collapse navbar-collapse" id="navbarsExampleDefault">
<ul class="navbar-nav mr-auto">
<li class="nav-item active">
<a class="nav-link" href="#">Home <span class="sr-only">(current)</span></a>
</li>
<li class="nav-item">
<a class="nav-link" href="dataVisualization.html">Data Visualization</a>
</li>
<li class="nav-item dropdown">
<a class="nav-link dropdown-toggle" href="javascript:void(0)" id="dropdown01" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false">Data Analysis</a>
<div class="dropdown-menu" aria-labelledby="dropdown01">
<a class="dropdown-item" href="DataAnalysis/price-vs-variety.html">Price / Variety</a>
<a class="dropdown-item" href="DataAnalysis/quality-vs-price.html">Quality / Price</a>
<a class="dropdown-item" href="DataAnalysis/variety-vs-country.html">Variety / Country</a>
</div>
</li>
</ul>
</div>
</nav>
<main role="main">
<!-- Main jumbotron for a primary marketing message or call to action -->
<div class="jumbotron">
<div class="container">
<h1 class="display-3">The Sommeliers</h1>
<h2 class="display-4">Wine Data Analysis and Visualization</h2>
<p>This project was completed as the term project for DS 3001: Introduction to Data Science.
We gathered and analyzed a dataset of wine reviews from <a href="https://www.kaggle.com/zynicide/wine-reviews">Kaggle</a>.
In completion of this project we hope to allow wineries, stores, and sommeliers to better understand which wines are the most popular and what prices they sell for.
More information on how we accomplished this goal and the original dataset to download can be found below.
</p>
<p><a class="btn btn-info btn-lg" href="dataset/wineData_CLEAN.csv" role="button" download>Original Dataset <i class="fas fa-download"></i></a></p>
</div>
</div>
<div class="container-fluid">
<div class="row">
<div class="col-md-6">
<div class="container-fluid">
<a href="dataVisualization.html"><h2>Data Visualization »</h2></a>
<p>
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi imperdiet
accumsan est, nec elementum dui feugiat sed. Quisque eget tincidunt libero,
nec sagittis dolor. Fusce efficitur risus ex, id blandit tellus rutrum ac.
Aliquam non luctus justo, at porttitor nunc. Morbi tellus elit, scelerisque
rhoncus venenatis eget, iaculis mollis massa. Suspendisse sed ante nec dui
auctor mollis. Nulla tortor metus, porta vitae urna ut, congue sollicitudin
risus. Vestibulum vitae venenatis leo. Proin nec neque faucibus, fermentum
ligula id, viverra ante. In non nisi elit. Fusce rutrum ipsum vestibulum
venenatis blandit. Sed a felis quis tortor commodo finibus id vel lacus.
Phasellus lobortis tincidunt est sit amet volutpat. Etiam libero purus,
ultrices eu ullamcorper vitae, ornare at tortor.
</p>
</div>
</div>
<div class="col-md-6">
<div class="container-fluid">
<a href="DataAnalysis/"><h2>Data Analysis »</h2></a>
<p>
Our visualizations ask interesting questions about the dataset, create
graphs and charts based on those questions, and use those graphs and charts
to answer the question. This process, from start to finish, reveals patterns
and trends in the dataset.
</p>
<p>
We looked at this dataset from the point of view of the consumer, retailer,
and producer. The consumer may be interested in learning if the quality of wine
is correlated with its price. <a href="DataAnalysis/quality-vs-price.html"><i class="fas fa-external-link-alt"></i></a>
If it is, the consumer may be more inclined to
purchase more expensive bottles of wine.
</p>
<p>
We also collected Twitter data in order to examin the recent popularity of
the wine varieties. This trending data is important for retailers and producers
to determine what wine they should stock in their stores or grow in their
vineyards.
</p>
</div>
</div>
</div>
</div> <!-- /container -->
<div class="container-fluid" id="team">
<div class="container-fluid">
<h2>The Team</h2>
<p>
This project was created in partial completion of DS3001: Foundations of Data Science.
</p>
<p>
The team members involved in making this project were:
</p>
<ul>
<li>Carlos Barcelos <a href="https://github.com/carlosbarcelos"><i class="fab fa-github"></i></a></li>
<li>Drew Ciccarelli <a href="https://github.com/dcicc4"><i class="fab fa-github"></i></a></li>
<li>Benjamin Sarkis <a href="https://github.com/sarkisben"><i class="fab fa-github"></i></a></li>
</ul>
</div>
</div>
</main>
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