The graphics are great for exploring data, but how they can be used to view a large collection of the usual to-day? This book shows how to look at how to visualize large datasets, whether large or large in number of cases in a large number of variables or in both. Data visualization is useful for data cleaning, exploring data, identifying trends and clusters, spotting local patterns, evaluating the model output, and presenting results. Data analysts, statisticians, computer scientists indeed anyone who has to explore large datasets they own-should benefit from reading this book. A new approach to graphics is necessary to visualize information in large datasets and most of the innovations described in this book are the standard graphics development. Graphics should be taken to deliver information and insight the book includes many examples. From the reviews: "Anyone interested in modern techniques for visualizing the data will be well rewarded by reading this book Paul Murrell. For the Journal Statistical Software, December 2006 "This book is interesting look at the question of visualizing large datasets from various perspectives. As the authors point out there are now many examples of a much larger dataset, but with limited to people who could be loaded as a whole in standard statistical software they end with a book which have great utility for practitioners rather than just theory. The nature of interactive data analysis with large datasets is difficult to reproduce in a book but the author makes a very good effort to do this. "