eBook - ePub

SAS® Coding Primer and Reference Guide

Name: SAS® Coding Primer and Reference Guide
ISBN: 9781000171785

Connie Tang,

284 pages
English
ePUB (mobile friendly)
Available on iOS & Android

eBook - ePub

SAS® Coding Primer and Reference Guide

Connie Tang,

About this book

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.

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Yes, you can access SAS® Coding Primer and Reference Guide by Connie Tang in PDF and/or ePUB format, as well as other popular books in Computer Science & Data Mining. We have over one million books available in our catalogue for you to explore.