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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en">
<head>
<title>CSE512: Data Visualization</title>
<meta name="robots" content="index,follow" />
<link rel="stylesheet" type="text/css" href="http://courses.cs.washington.edu/courses/cse512/15sp/style.css"/>
</head>
<body>
<div class='content wider'>
<div class='title'>
<a href="http://courses.cs.washington.edu/courses/cse512/15sp/"><strong>CSE512</strong></a>
Projects
<small>(Spring 2015)</small>
</div>
<br/>
<div class='pub' data-spy="scroll" data-target=".navbar">
<h1 class="title">Final Project: Instagram Post Data Analysis</h1>
<div class="authors">
<a href="">Yanling He</a>,
<a href="">Xin Yang</a>,
<a href="">Xiaoyi Zhang</a>
</div>
<div class="figure">
<img src="summary.png" width="100%"/>
<div class="caption">Visualization System. Visualize Location in DataMap. Visualize Filter in Aster Chart. Visualize Hashtags in Word Cloud.</div>
</div>
<p>
Abstract:
Because of the spread of the Internet, social platforms become big data pools. From there we can learn about the trends, culture and hot topics. This project focuses on analyzing the data from Instagram. It shows the relationship of Instagram filter data with location and number of likes to give users filter suggestion on achieving more likes based on their location. It also analyzes the popular hashtags in different locations to show visual culture differences between different cities.
</p>
<h2>Software</h2>
<p>
Try it online <a href="http://www.xiaoyizhang.me/512">here</a>.
</p>
<p>
Instruction:
Click on dark blue dot, which is the city with largest population in a state. The system shows the filter and tag visualization result based in the specific location as an Aster chart and a word cloud.
Hover on the chart slice shows filter visualization result. It lists the number of images using that filter and number of likes together with some sample images. This indicates the popularity of each filter.
Clicking the city dot also shows a word cloud with most popular tags shown up. This shows the average likes of photos using these tags.
</p>
<h2>Materials</h2>
<div class="links">
<a href="final/paper-heyl-xiaoyiz-yx1992.pdf" >PDF</a>
|
<a href="final/poster-heyl-xiaoyiz-yx1992.pdf" >Poster</a>
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<a href="https://github.com/CSE512-15S/fp-heyl-xiaoyiz-yx1992">Code</a>
</div>
<div class='footer'>
<a href='http://cs.washington.edu'>Computer Science & Engineering</a> -
<a href='http://www.washington.edu'>University of Washington</a>
</div>
</div>
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<br/>
</div>
</body>
</html>