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
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.
Connie Tang is a graduate of New York University, Abu Dhabi with a BA in Economics. She also holds a master’s degree in Applied Economics from the University of Maryland. She has learned and utilized SAS in her private consulting after graduating from NYU in 2014. Since then, she has provided technical assistance to a wide range of activities and programs related to data including her near three years of service as an on-site consultant to the Office of the Secretary, the U.S. Department of Transportation. Currently, Connie Tang is the Research and Outreach Coordinator at the Maryland Transportation Institute, University of Maryland, where she supports and leads a broad range of research and development activities.