IS590DVO - Data Visualization

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

Please note: Chrome (and possibly Firefox) are the necessary browsers for success with Blackboard Collaborate! Also: a “headset” type setup is needed for this class (apple-type earbuds can produce a lot of feedback).

Moodle page is located here.

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

References

Some handy references you might appreciate:

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

• Jupyter Cheat Sheet

• Shared Slack Channel

Course syllabus

Weekly Lectures and Materials

• Syllabus
• Week 1 - Introduction
• Week 2 - Data Storage and Operations
• Week 3 - Data Operations and Elements of a Visualization
• Week 4 - Elements of Viz and Distributions
• Week 5 - Types of Viz and Choosing Colors
• Week 6 - Comparisons, Elements, Engines and More
• Week 7 - Beginning Interactivity
• Week 8 - Engines and More Interactivity
• Week 9 - More on Maps and Network Visualization
• Week 10 - Iterative Design, Idyll
• Week 11 - More Idyll & Interactive Web viz, Publishing
• Week 12 - Scientific Viz
• Week 13 - Graphics, Volumes, D3.js & How to learn new webdev things
• Week 14 - Final Projects

Assignments