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Statistical Graphics Procedures by Example - Effective Graphs Using SAS (Paperback) Loot Price: R1,821
Discovery Miles 18 210
Statistical Graphics Procedures by Example - Effective Graphs Using SAS (Paperback): Sanjay Matange, Dan Heath

Statistical Graphics Procedures by Example - Effective Graphs Using SAS (Paperback)

Sanjay Matange, Dan Heath

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Loot Price R1,821 Discovery Miles 18 210 | Repayment Terms: R171 pm x 12*

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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.

General

Imprint: SAS Publishing
Country of origin: United States
Release date: November 2011
First published: November 2011
Authors: Sanjay Matange • Dan Heath
Dimensions: 235 x 191 x 19mm (L x W x T)
Format: Paperback - Trade
Pages: 370
ISBN-13: 978-1-60764-762-1
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
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LSN: 1-60764-762-1
Barcode: 9781607647621

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