1. Exploratory Data Analysis
This chapter presents the assumptions, principles, and techniques necessary to gain insight into data via EDA--exploratory data analysis.
1. EDA Introduction What is EDA? EDA vs Classical & Bayesian EDA vs Summary EDA Goals The Role of Graphics An EDA/Graphics Example General Problem Categories	2. EDA Assumptions Underlying Assumptions Importance Techniques for Testing Assumptions Interpretation of 4-Plot Consequences
3. EDA Techniques Introduction Analysis Questions Graphical Techniques: Alphabetical Graphical Techniques: By Problem Category Quantitative Techniques Probability Distributions	4. EDA Case Studies Introduction By Problem Category
Detailed Chapter Table of Contents References Dataplot Commands for EDA Techniques