SAS® Coding Primer and Reference Guide - Brossura

Tang, Connie

Brossura

ISBN 10: 0367507943 ISBN 13: 9780367507947

Casa editrice: Auerbach Publications, 2020

Riassunto

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.

Su questo libro

Informazioni sull'autore

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.

Dalla quarta di copertina

A primer for learning SAS and analytics quickly, the book makes use of real-world data analysis steps. Filled with line-by-line code explanations, it is packed with fully functional and easily modifiable code covering both data manipulation as well as statistical analyses.

Dettagli dell'edizione

• Editore: Auerbach Publications
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 0367507943
• ISBN 13: 9780367507947
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 296
• Contatto del produttore: Taylor and Francis, GPSR Taylor and Francis; gpsr@taylorandfrancis.com; ; Taylor & Francis Verlag GmbH, Kaufingerstraße 24; München; 80331; Germania