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

Creating an index in Proc SQL

As we have discovered earlier, creating an index is an efficient way of dealing with large datasets. Proc SQL also offers us the option to create and manage indexes.

An index is an auxiliary file that is defined on one or more variables, which are called key columns. The index may be primary or composite, that is, formed of one or multiple variables. The index stores the unique column values and directions that allow access to rows in an indexed manner. Proc SQL benefits from indexes by reading the required record directly rather than following the sequential method. Hopefully, this recap on indexes will bring back memories of the examples we used as part of the DATA step.

Let's create a simple and composite index. The datasets in this chapter are smaller and don't contain hundreds of unique values. There will be no significant benefit of...