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

In this chapter, we primarily conducted a statistical analysis using some powerful built-in procedures. We also had a brief look at how data can be transposed as this is an important step prior to getting the data ready for statistical analysis or report presentation. We also explored how some of the outputs from these procedures can be used to achieve a common objective, such as producing frequencies. The mix of procedures we have used helped us to produce basic statistics. We also managed to build a model using the REG procedure. While learning to model isn't the goal of this book, the examples we've used can help us perform the necessary data transformations and code the model.

In the next chapter, we will learn about advanced programming techniques, which are also known as macros in SAS.