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

Line plots

We will explore the most basic format of the line plot on a single axis and move on to exploring a few more aspects of this chart in this section. Use the following query to create a line chart where we are interested in finding out the frequency of the Age variable:

Proc SGPLOT Data=Class;
Vline Age;
Title 'Basic Form of Line Chart using SGPLOT';
Run;

We get the following plot as the output:

There are only four data points for Age, and the y axis has the frequency of each data point.

The preceding chart only contains one series. We will not get a meaningful output if we use the following similar code for the Class dataset. Let's use the Cost_Living dataset we first used in Chapter 1, Introduction to SAS Programming, to plot a line chart with multiple series:

Proc SGPLOT Data=Cost_living;
Series X=City Y=Index / Legendlabel="Current Yr Index...