Description
Book SynopsisPraise for the Second Edition:
The authors present an intuitive and easy-to-read book. accompanied by many examples, proposed exercises, good references, and comprehensive appendices that initiate the reader unfamiliar with MATLAB.
Adolfo Alvarez Pinto, International Statistical Review
Practitioners of EDA who use MATLAB will want a copy of this book. The authors have done a great service by bringing together so many EDA routines, but their main accomplishment in this dynamic text is providing the understanding and tools to do EDA.
David A Huckaby, MAA Reviews
Exploratory Data Analysis (EDA) is an important part of the data analysis process. The methods presented in this text are ones that should be in the toolkit of every data scientist. As computational sophistication has increased and data sets have grown in size and complexity, EDA has become an even more important process for visualizing and summarizing data before maki
Table of Contents
Introduction to Exploratory Data Analysis. Dimensionality Reduction – Linear Methods. Dimensionality Reduction – Nonlinear Methods. Data Tours. Finding Clusters. Model-Based Clustering. Smoothing Scatterplots. Visualizing Clusters. Distribution Shapes. Multivariate Visualization. Appendices.
