"How can applied researchers present and analyze their research data more effectively? By using the techniques described in this volume, social scientists will be able to make their data more accessible to nontechnical audiences. This book is packed with examples that illustrate the characteristics of effective graphical displays of data and provides solid techniques for producing graphs. Graphing Data begins with a discussion of what has been learned from the visual perception research that relates to graphing data. It then explores the analysis tasks that apply most often: the use of graphs for data summarization, the display of multiple units, ways to improve tabular displays, graphical alternatives to tables, two-variable scatterplots as graphical support for correlation and regression, how to show variation and summary statistics together, and how to create more effective legends and titles on graphical displays"--Publisher description.