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

Proc SQL essentials

Having looked at join queries, we have already got a feel for how Proc SQL works. Let us review the essentials to put us on a firm footing before we explore macros in Proc SQL.

Subsetting

The simplest way to subset a dataset is by using the Where statement in Proc SQL. The general syntax of such a query is:

Proc SQL;
Select *
From
Where
;
Quit;

You can also subset using the drop and keep option. This is a good way to restrict the variables that are needed in the output dataset. Remember that subsetting is crucial in Proc SQL as the default is the Cartesian product. Any amount of filtering that can be done will reduce the number of rows processed and thereby make...