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

SAS dataset fundamentals

The SAS dataset contains values that are organized as rows and columns that can be processed (read/written) by SAS. The dataset can be a data file (table) or view. Either way, a dataset is typically rectangular in format. The dataset has a descriptor portion and data portion. While in the following table, we can only see the column/variable names, the descriptor portion holds further information such as the number of rows (more commonly referred to as observations) in the dataset, date and time of creation, and the operating environment in which it was created. This section is called the data portion, which holds all the data values:

The maximum number of observations that can be counted for a SAS dataset is determined by the long integer data type size for the operating environment. In operating environments with a 32-bit long integer, the maximum number...