Visualization of Digital Asset Consumption Data with HTML5 and Other Web Technologies

DXARTS 511: Fall 2010, Dean Hudson

Overview

Abstract

This project was an exploration of the use of HTML5 in data visualization projects for large data sets. The attempt was made to process a fairly large, real-world data set into a usable format to to build tools using the a bespoke Javascript library, CouchDB, and the HTML5 Canvas API to generate a visualization in the browser. The dataset for the project was the digital asset download data (primarily mp3 consumption) from Sub Pop Records.

<h4>Contents</h4>
<ul>
  <li><a href="http://sp.ero.com/dxarts/html" target="new">Live Project Demonstration</a> (follow instructions on the page)</li>
  <li><a href="html/" target="new">Local Project Demonstration</a> (must be accessed through a http: rather than file: URL)</li>
  <li><a href="html/project_summary.html">Project Summary</a></li>
  <li><a href="html/project_plan.html">Project Plan</a></li>
  <li><a href="html/data_formats.html">Data Formats</a></li>
  <li><a href="http://datavizproject.wordpress.com/">Project Blog</a></li>
  <li><a href="https://github.com/deanh/DXARTS-511">Source Repository (on Github)</a></li>
  <li><a href="html/bibliography.html">Bibliography</a></li>
</ul>