Includes bibliographical references (pages 261-266) and index

Preface -- Look at data -- Get started -- Make a plot -- Show the right numbers -- Graph tables, add labels, make notes -- Work with models -- Draw maps -- Refine your plots

"This book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way. Data visualization builds the reader's expertise in ggplot2, a versatile visualization library for the R programming language ...."--Page 4 of cover