9781607647621-1607647621-Statistical Graphics Procedures by Example: Effective Graphs Using SAS

Statistical Graphics Procedures by Example: Effective Graphs Using SAS

ISBN-13: 9781607647621
ISBN-10: 1607647621
Author: Dan Heath, Sanjay Matange
Publication date: 2011
Publisher: SAS Institute
Format: Paperback 370 pages
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Book details

ISBN-13: 9781607647621
ISBN-10: 1607647621
Author: Dan Heath, Sanjay Matange
Publication date: 2011
Publisher: SAS Institute
Format: Paperback 370 pages

Summary

Statistical Graphics Procedures by Example: Effective Graphs Using SAS (ISBN-13: 9781607647621 and ISBN-10: 1607647621), written by authors Dan Heath, Sanjay Matange, was published by SAS Institute in 2011. With an overall rating of 3.5 stars, it's a notable title among other Mathematical & Statistical (Software) books. You can easily purchase or rent Statistical Graphics Procedures by Example: Effective Graphs Using SAS (Paperback) from BooksRun, along with many other new and used Mathematical & Statistical books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.66.

Description

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.

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