IS590DV - Data Viz

This is the course website for Data Visualization, instructed by Jill P. Naiman (jnaiman@illinois.edu).

Below, you will find the materials for each week, as well as a syllabus that includes contact information and a course outline.

Some handy references you might appreciate:

• matplotlib tutorial
• python tutorial
• Effective Computation in Physics by Scopatz & Huff (available through Safari at UIUC)

Course syllabus

Weekly Lectures and Materials

• Week 1 - Introduction
• Week 2 - Data Storage and Operations
• Week 3 - Types of Viz and Choosing Colors
• Week 4 - Beginning interactivity
• Week 5 - Continuing interactivity with bqplot
• Week 6 - More with dashboards & Map Viz
• Week 7 - Maps, maps and more maps
• Week 9 - Network Visualization & Word clouds
• Week 10 - Iodide and Intro to Javascript
• Week 11 - Viz Audience; More Iodide, Javascript & Vega-lite (and maybe Idyll)
• Week 12 - Idyll & Intro to Scientific Viz with AVL
• Week 13 - Scientific Viz
• Week 14 - Volume rendering for scientific viz, Wrap up with Idyll, Publishing Viz
• Week 15 - A few more Idyll+d3 things

Assignments