Exploratory data analysis with MATLAB. 2nd ed. One of the goals of our first book, Computational Statistics Handbook with MATLAB, was to show some of the key concepts and methods of computational statistics and how they can be implemented in MATLAB. A core component of computational statistics is the discipline known as exploratory data analysis or EDA. Thus, we see this book as a complement to the first one with similar goals: to make exploratory data analysis techniques available to a wide range of users. This text is not focused on the theoretical aspects of the methods. Rather, the main focus of this book is on the use of the EDA methods. Thus, we do not dwell so much on implementation and algorithmic details. Instead, we show students and practitioners how the methods can be used for exploratory data analysis by providing examples and applications.