Sharpening Your Sas Skills

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Sharpening Your Advanced SAS Skills

Sharpening Your Advanced SAS Skills presents sophisticated SAS programming techniques, procedures, and tools, such as Proc SQL, hash tables, and SAS Macro programming, for any industry. Drawing on his more than 20 years' experience of SAS programming in the pharmaceutical industry, the author provides a unique approach that empowers both advanced p
Sharpening Your SAS Skills

Learn how to read, understand, and write better SAS programs � Understand the key differences between similar SAS syntax and programming approaches � Save time in writing SAS code with organized summaries of important facts � Improve your trouble-shooting skills in common programming and data related problems � Reinforce your SAS knowledge with more than 150 technically challenging questions Ideal for intermediate to advanced SAS users, Sharpening Your SAS Skills shows how to write and diagnose the most common programming tasks in data access, data management, and data analysis. This book organizes, prioritizes, and compares key facts about SAS for easy usage and reference. It includes SAS version 9.1 features and examples for improving data quality with integrity constraints, generation data sets, and audit trials. Each example will help you better understand the SAS syntax by showing the results expected from the input data and potential errors, notes, or warning messages the program may generate if written incorrectly.
Sharpening Your SAS Skills

Learn how to read, understand, and write better SAS programs Understand the key differences between similar SAS syntax and programming approaches Save time in writing SAS code with organized summaries of important facts Improve your trouble-shooting skills in common programming and data related problems Reinforce your SAS knowledge with more than 150 technically challenging questionsIdeal for intermediate to advanced SAS users, Sharpening Your SAS Skills shows how to write and diagnose the most common programming tasks in data access, data management, and data analysis. This book organizes, prioritizes, and compares key facts about SAS for easy usage and reference. It includes SAS version 9.1 features and examples for improving data quality with integrity constraints, generation data sets, and audit trials. Each example will help you better understand the SAS syntax by showing the results expected from the input data and potential errors, notes, or warning messages the program may generate if written incorrectly.