This comprehensive resource provides the algorithmic methods and state-of-the-art tools to successfully visualize statistical data. The coverage offers insight into underlying processes of density estimation, emphasizing use of visualization tools rather than only the theoretical concepts of classification and regression. The book is highly interactive in nature, as all figures and experiments can be reproduced via the two R software packages used throughout and available on a related Web site. Over 200 illustrations depict the discussed visualizations and Examples sections, making this both an dynamic text for students and a working reference for professionals.