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

Comparing data steps and Proc SQL

There are some fundamental differences between how a data step and Proc SQL approach connecting tables. In a data step, we refer to this as merging tables whereas in Proc SQL we call it joining tables. The differences don't end in the naming conventions. Both aim to perform similar tasks, that is, to make connections between various tables and help bring across variables and observations from tables into a common table. The in-built functionalities available in SAS and the general differences in capabilities between data steps and Proc SQL will also yield different results or could lead to varying complexity in achieving the same output.

The following points are the fundamental differences between data steps and Proc SQL:

  • The data step requires merged tables to be sorted. Proc SQL has no such requirement. This can be a big saving not just...