IS590DV - Data Visualization

This is the course website for Data Visualization, instructed by Matthew Turk (mjturk@illinois.edu).

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)

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 - Leaflet and Interactive Lab
• Week 10 - Iterative Design, Idyll
• Week 12 - Scientific Viz
• Week 13 - Scavenger Hunt and Big Data

Assignments