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BOOK: Exploratory Data Analysis with MATLAB(Computer Science and Data Analysis)
Author: Wendy L. Martinez Angel R. Martinez
Publisher: Chapman & Hall/CRC 2004-11-29
Pages: 424
ISBN: 1584883669

Review
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

Book Description

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 only 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.