Topics in Data Visualization Oregon State University, Summer 2014

Lectures: MWF 1300-1350 ALS 4000 Instructors:
Charlotte Wickham, 76 Kidder charlotte.wickham@stat.oregonstate.edu

Office hours:
Mon and Weds 2-3pm Kidder 76

Week 1

Introduction

Reading:

Chapter 1 & 2 The Visual Display of Quantitative Information, Edward Tufte (available on 3 hour reserve in the library, borrow my copy for an hour or two, or buy it (~$26) and read the whole thing)

How to Display Data Badly Wainer, H. The American Statistician, Volume 38, Issue 2, 1984

• Jun 23. Welcome
  • Syllabus (pdf)
• Jun 25. Bad graphics
• Jun 27. Describing graphics

Week 2

Reading:

A layered grammar of graphics

• Jun 30. ggplot2
  • Code and data
• Jul 2. ggplot2: replicating some named plots
  • Code from class
• Jul 4. July 4th Holiday

Week 3

Reading:

Graphical Perception: Theory, Experimentation, and Application to the Development of Graphical Methods

• Jul 7. Facetting & Themes
• Jul 9. Perception of continuous variables
  • R code: Improving the plot of commute types
• Jul 11. Perception of groups
  • Reproducing "How England, Italy and Germany are dominating the world cup"

Week 4

• Jul 14. Color
• Jul 16. Scales
  • R code
• Jul 18. Finish last time's slides. Brainstorm, critque and polish alternatives. Bring laptop!
  • R Code
  • Idea 1
  • Idea 2
  • Idea 3
  • Idea 4
  • Idea 5
  • Idea 6
  • Idea 7
  • Idea 8

Week 5

Reading:

A tour through the visualization zoo

• Jul 21. Explore & polish
  • Getting started code
  • Code that generated summaries
• Jul 23. Continue to explore & polish
• Jul 25. Variability + Interaction/Animation

Week 5

• Jul 28. Group Critique
• Jul 30. High Dimensional Data
  • R code examples
• Aug 1. Poster Session