spring2015-datavis/index.html at gh-pages · cs690/spring2015-datavis · GitHub

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<!DOCTYPE html>
<html>
<head>
  <title>Master Project Visualizations</title>
  <meta name="viewport" content="width=device-width, initial-scale=1">
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        <a class="navbar-brand" href="index.html">Master Project Visualizations</a>
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      <h2>Visualization Of YouTube Dataset</h2>
      <p>This project visualizes the <a href="http://netsg.cs.sfu.ca/youtubedata/"><b>Dataset for "Statistics and Social Network of YouTube Videos"</b></a> available at Simon Fraser University. We implement a set of linked and interactive visualizations referring to the paper <a href="http://www.computer.org/csdl/trans/tg/2013/12/ttg2013122606.html"><b>GPLOM: The Generalized Plot Matrix for Visualizing Multidimensional Multivariate Data</b></a>. Our goal is to provide users with a web interface and allow them to explore the data through it. For example, users can find out what the top 3 most frequently viewed categories are or what kinds of videos are most highly rated.</p>
    </div>
    <div class="col-md-6">
      <img src="./lib/img/design.png" style="text-align:center; width:100%">
      <p align="center"><b>Figure 1. Design Overview</b></p>
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    <div class="col-md-6">
      <p style="font-size:20px;">
        The overall structure of this visualization project consists simply of three components: this website, the dataset, and JavaScript libraries. As figure 1 shows, we first read data from the dataset and visualize it using D3.js. GPLOM is used as a visualization technique. It is a variant of scatterplot matrices and consists of a scatterplot, barchart, and heatmap. Each one deals with different combinations of features in the dataset, as follows:<br><br>
        <b>Heatmap</b>: two categorical features<br><br>
        <b>Scatterplot</b>: two numerical features<br><br>
        <b>Barchart</b> numerical and categorical features.
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  <footer class="well">
    CS690 Master Project, Spring 2015.
    <a href="http://www.cs.usfca.edu/">Computer Science Department</a>
    of
    <a href="http://www.usfca.edu/">University of San Francisco</a>.
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