Overview

• Define Exploratory Data Analysis (EDA) and types of pattern exploration
• Demonstrate types of graphs useful for EDA and precautions when interpreting them
• Define factors
• Practice exploring data

Before class

• Read Chapter 7 “Exploratory Data Analysis” and Chapter 15 “Factors” from R for Data Science

Class materials

• Exploratory data analysis
• Practice exploring college education data

Additional resources

• Antony Unwin Graphical Data Analysis with R. It covers a range of graphical methods for data exploration and analysis; draws on packages beyond ggplot2 for statistical graphics.
• Cheat Sheet Data visualization with ggplot2

What you need to do after class

• Work on homework 2
• Review today’s lecture materials, and prepare for next class