ABSTRACT
Exploratory data analysis (EDA) was conceived at a time when computers were not widely used, and thus computational ability was rather limited. As computational sophistication has increased, EDA has become an even more powerful process for visualizing and summarizing data before making model assumptions to generate hypotheses, encompassing larger a
TABLE OF CONTENTS
part |2 pages
Part I: Introduction to Exploratory Data Analysis
part |2 pages
Part II: EDA as Pattern Discovery
part |2 pages
Part III: Graphical Methods for EDA