Last time: ggplot

Summary:

Part I

Visualization Theory

This part lecture is a combination of a blog a wrote a long time ago - that has lots of spelling errors and a compression of common theory that is sometime taught in 315.

Graphics

Why Graphics

When graphics (Maybe better to ask “when not graphics”)

~Tufte, The Visual Display of Information, pg 20 and pg 178 (see extra reading for Hw 2)

Overview

Rules to make Good Graphics:

  1. Avoid misleading visuals
  2. Avoid clutter graphics (make sure your message comes through)
  3. Leverage graphics for complex understanding

Human Preception

General dos & don’t for graphics

1. Represent the data as truthfully as possible

1. Truthful Representation

1. Don’t abuse commonly held assumptions