Statistical Graphics Procedures by Example ─ Effective Graphs Using SAS

Sanjay Matange and Dan Heath's Statistical Graphics Procedures by Example: Effective Graphs Using SAS shows the innumerable capabilities of SAS Statistical Graphics (SG) procedures. The authors begin with a general discussion of the principles of effective graphics, ODS Graphics, and the SG procedures. They then move on to show examples of the procedures' many features. The book is designed so that you can easily flip through it, find the graph you need, and view the code right next to the example. Among the topics included are how to combine plot statements to create custom graphs; customizing graph axes, legends, and insets; advanced features, such as annotation and attribute maps; tips and tricks for creating the optimal graph for the intended usage; real-world examples from the health and life sciences domain; and ODS styles. The procedures in Statistical Graphics Procedures by Example are specifically designed for the creation of analytical graphs. That makes this book a must-read for analysts and statisticians in the health care, clinical trials, financial, and insurance industries. However, you will find that the examples here apply to all fields.SAS Products and Releases: Base SAS: 9.3 Operating Systems: All

Sanjay Mantange Sanjay Matange, senior software manager in data visualization at SAS Institute, is responsible for the development and support of ODS Graphics software, including the Graph Template Language, Statistical Graphics procedures, ODS Graph Designer, and ODS Graphics. He has been at SAS for over 20 years and received an MS degree in computer science from North Carolina State University. Sanjay is co-author of two patents relating to the visualization of data. Dan Heath Dan Heath is a principal systems developer at SAS Institute. A SAS user for more than 17 years, Dan specializes in SAS/GRAPH software, ODS Graphics, and related graphing technologies. Dan has been a speaker at a number of regional and local users' group meetings, including SAS Global Forum, PharmaSUG, and Pacific Northwest SUG. He received a BS degree in computer science from North Carolina State University.