EDA: exploratory data analysis

Overview

• Layers: understanding ggplot
  • revisit prior slides if needed!
• Intro to EDA
  • aesthetics (aes)
  • geometric objects (geoms)
  • facets
  • stats transformations
  • position adjustments
  • coordinate systems
  • layer cake approach!

Before class

• Required: read Ch 9, Ch 10

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.Add commentMore actions
• Cheat Sheet Data visualization with ggplot2

What you need to do after class

• Review today’s lecture materials, and prepare for next class
• Continue Assignment 3