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You've just received a new survey of study results, and you need to create fast graphical views of the data. Or, you've completed your analysis, and you need graphs to present the results to your audience. Now, you can create custom graphs quickly and easily by following Getting Started with SAS Graph Template Language, without having to understand all of the Graph Template Language (GTL) first.

This book will get you started building graphs quickly and will guide you toward a better understanding of the GTL, one step at a time. It shows you the most common approaches to a variety of graphs along with information that you can use to build on from there. Sanjay Matange's goal is to give you a solid foundation in using the GTL so you can progress to more complex, adaptable graphs as you need them.

Ultimately, Getting Started with SAS Graph Template Language allows you to bypass the learning curve. It teaches you how to quickly create custom, aesthetically pleasing graphs that present your data with maximum clarity and minimum clutter.

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SAS ODS Graphics Designer: An Interactive Graph Builder describes in detail the features of the ODS Graphics Designer, an interactive application for creation of graphs. The Designer application lets you, the analyst, create graphs interactively so you can focus on the analysis, and not on learning graph syntax. This book provides numerous examples of graphs that are commonly used for the analysis of data in the health care, life sciences, and finance domains. Among these examples, you can find a graph close to one you have in mind, and get a head start in building the graph you need.

Graph Template Language by Example: A Visual Guide to Custom Graphs Using SAS describes in detail the extensive features of the Graph Template Language (GTL) using tons of examples. The first part of the book provides a brief history of and motivation for GTL and covers the key concepts of its building-block approach to creating complex graphs. The second part includes a large set of graph examples that show the individual features of the plot, layout, and other statements. And finally, the book provides complete examples of graphs that are commonly used for the analysis of data in various domains, including health care, life sciences, and finance. SAS users, from novice to advanced programmers, who are interested in creating complex graphs will find this book to be a valuable addition to their libraries.

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