Exploratory Data Analysis with MATLAB

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 and more complex data sets. There are many resources for those interested in the theory of EDA, but this is the first book to use MATLAB to illustrate the computational aspects of this discipline.

Exploratory Data Analysis with MATLAB presents the methods of EDA from a computational perspective. The authors extensively use MATLAB code and algorithm descriptions to provide state-of-the-art techniques for finding patterns and structure in data. Addressing theory, they also incorporate many annotated references to direct readers to the more theoretical aspects of the methods. The book presents an approach using the basic functions from MATLAB and the MATLAB Statistics Toolbox, in order to be more accessible and enduring. It also contains pseudo-code to enable users of other software packages to implement the algorithms.

This text places the tools needed to implement EDA theory at the fingertips of researchers, applied mathematicians, computer scientists, engineers, and statisticians by using a practical/computational approach.

This book ... has a good introduction to EDA, and then illustrates several applications where MATLAB provides the analysis of data to produce unexpected results.
- Books-on-Line

This is a book for those who have a good grounding in linear algebra and statistics who wish to use MATLAB for statistical investigations.
-Short Book Reviews of the International Statistical Institute

The aim of this book, as stated by the authors, is to 'make exploratory data analysis (EDA) techniques available to a wide range of users.' They have succeeded to a commendable extent in achieving this goal. The audience for the book is a wide one and includes statisticians, computer scientists, and others who may be interested in or use EDA. ...I found the book to be engagingly written, and successful in its defined task of teaching the reader to use EDA with MATLAB. I liked the graphics and thought that they fully illustrated the techniques used.
-Journal of the American Statistical Association, Brian Jersky, Sonoma State University

The book can also be useful in a classroom setting at the senior undergraduate and graduate level, valuable exercises being included in each chapter.
-Zentralblatt MATH, Neculai Curteanu