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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
  1. What is EDA?
  2. EDA vs Classical & Bayesian
  3. EDA vs Summary
  4. EDA Goals
  5. The Role of Graphics
  6. An EDA/Graphics Example
  7. General Problem Categories
2. EDA Assumptions
  1. Underlying Assumptions
  2. Importance
  3. Techniques for Testing Assumptions
  4. Interpretation of 4-Plot
  5. Consequences
3. EDA Techniques
  1. Introduction
  2. Analysis Questions
  3. Graphical Techniques: Alphabetical
  4. Graphical Techniques: By Problem Category
  5. Quantitative Techniques
  6. Probability Distributions
4. EDA Case Studies
  1. Introduction
  2. By Problem Category
Detailed Chapter Table of Contents
References
Dataplot Commands for EDA Techniques
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