IS590DV - Data Viz

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.

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 - Comparisons, Elements, Engines and More
• Week 5 - Interactivity
• Week 6 - Starting Dashboards and Vega Lite
• Week 7 - More Vega-Lite and Maps
• Week 9 - Geo data
• Week 10 - Geo Data, Dashboards, Web Dev
• Week 11 - Geo Data, Dashboards, and Portfolios
• Week 12 - Scientific Viz, Big-ish Data, and Some Portfolio Building
• Week 13 - Some more D3

Assignments