SAS® Coding Primer and Reference Guide
by: Connie Tang
Print Length 页数: 296 pages
ISBN-10: 0367537052
ISBN-13: 9780367537050
4 cm
Publisher finelybook 出版社: Auerbach Publications (30 Sept. 2020)
Language 语言: English
Book Description
Although the web and online SAS® communities can provide volumes of information for programmers,these resources are often overwhelming and lack a simple path to guide coding SAS. This reference,however,does provide such a path from a data user’s standpoint vs. seeing things as a code writer. Written by: an experienced SAS programmer,this book lets SAS coders easily find explanations and clarification to typical programming problems. This book presents practical real-world data analysis steps encountered by: analysts in the field. These steps include the following:
Getting to know raw data
Understanding variables
Getting data into SAS
Creating new data variables
Performing data manipulations,including sorting,ranking,grouping,subtotal,total,and percentage
Statistical testing under a broad range of logical and conditional settings
Data visualization
Throughout this book,statements and codes are accompanied by: thorough annotation. Line-by: -line explanations ensure that all terms are clearly explained. Code examples and sample codes have broad usages. All the examples are related to highway transportation where the use of big data is exploding and presenting new challenges and opportunities for growth.
Clear and precise practical introductory material on statistics is integrated into the relevant SAS procedures,to bolster users’ confidence in applying such methods to their own work. Comprehensive and foundational coverage,systematic introduction of programming topics,thoroughly annotated code examples,and real-world code samples combine to make SAS® Coding Primer and Reference Guide an indispensable reference for beginners and experienced programmers.
Table of Contents
Preface
Author
Chapter 1 Basic Components of SAS
Chapter 2 SAS in Windows Environment
Chapter 3 Feeding Data to SAS
Chapter 4 Data Manipulation
Chapter 5 Basic Data Analysis
Chapter 6 Common Statistical Procedures
Chapter 7 Visualization
Chapter 8 ODS,Title,and Footnotes
Chapter 9 Behind the Scenes Logic on Data Reading
Index
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