Book Image

Hands-On SAS for Data Analysis

By : Harish Gulati
Book Image

Hands-On SAS for Data Analysis

By: Harish Gulati

Overview of this book

SAS is one of the leading enterprise tools in the world today when it comes to data management and analysis. It enables the fast and easy processing of data and helps you gain valuable business insights for effective decision-making. This book will serve as a comprehensive guide that will prepare you for the SAS certification exam. After a quick overview of the SAS architecture and components, the book will take you through the different approaches to importing and reading data from different sources using SAS. You will then cover SAS Base and 4GL, understanding data management and analysis, along with exploring SAS functions for data manipulation and transformation. Next, you'll discover SQL procedures and get up to speed on creating and validating queries. In the concluding chapters, you'll learn all about data visualization, right from creating bar charts and sample geographic maps through to assigning patterns and formats. In addition to this, the book will focus on macro programming and its advanced aspects. By the end of this book, you will be well versed in SAS programming and have the skills you need to easily handle and manage your data-related problems in SAS.
Table of Contents (17 chapters)
Free Chapter
1
Section 1: SAS Basics
4
Section 2: Merging, Optimizing, and Descriptive Statistics
7
Section 3: Advanced Programming
10
Section 4: SQL in SAS
13
Section 5: Data Visualization and Reporting

Summary

We started off this chapter by exploring the concept of views. We discussed multiple advantages of views, including their core strengths of protecting sensitive information, easing the coding process, and giving us the ability to use the most recent version of the source data. Apart from these core advantages, we also explored how views can help optimize queries. Manipulating data was also a central theme of this chapter as we looked at deleting columns and rows, modifying columns, and adding columns. We also looked at the identification of duplicates as part of manipulating data. Here, we compared Proc SQL to the common deduplication technique of Proc SORT and also explored the not-so-common use of the SUMMARY procedure for this task.

While we covered indexes as a topic previously in this book, we looked at creating, controlling, monitoring, and deleting indexes. Toward...