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

Vertical and horizontal bar charts

A vertical bar chart is not a histogram. Remember that the first chart you saw in this chapter was a histogram and its y-axis totaled 100%. This won't necessarily happen in every vertical bar chart. A histogram is more than a vertical representation of data, as we saw when we used one to understand the probability distribution function using density curves. Let's delve into how vertical bar charts can make our data visually appealing. As always, we will start with a simple example:

Proc SGPLOT Data=Class;
VBar Height;
Title ' Basic Form of Vertical Chart';
Run;

The chart that's produced is as follows:

There are only three data points of Height, which have a frequency of 2.

Up until now, we have only explored a few of the data axis options. Let's experiment a bit with our basic vertical chart and try out some charting...