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

NOMPREPLACE and MREPLACE

While writing macro definitions is important, protecting those we've already written can be critical in a multiple-user scenario. In this section, we will look at the roles of the NOMREPLACE and NOCOMPILE options so that we can protect our existing macro definitions.

The NOMPREPLACE system option will prevent a user from overwriting a macro, even if a macro with the same name has already been compiled. Note that this will not prevent a macro variable from being rewritten. We will use the Class dataset we created in the previous chapter to highlight the role of the system option.

In the following code, the Alt dataset is being created from the Class dataset. An additional variable Dataset has been defined to take the value Alt:

Data Alt;
Set Class;
Dataset="Alt";
Run;

Apart from the SYMBOLGEN and MPRINT options, we have specified the NOMREPLACE...