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

Scatter charts

These diagrams are used to establish whether there is a correlation between the variables that have been plotted.

If you remember the Cost_Living dataset well, you may recollect the Other variable. We don't know how it contributes to the cost of living index that's calculated for each city. Let's try and understand the relationship between Other and Index using scatter plots. As always, we will start with the simple form of scatter plot before we try and mix things up with the options and functionalities that the scatter plot offers us in the SAS environment:

Title "Index and Other Relationship";
Proc SGPLOT Data=Cost_Living;
Scatter X=Index Y=Other;
Run;

This will result in the following chart as the output:

From the dataset, we know that the value of Other ranges from 1 to 16. Apart from the value of 5 for Other when the Index value...