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

Altering the CALL SYMPUT example

In the previous chapter, while introducing CALL SYMPUT, we looked at an example where the objective was to output records from 2019 and 2013 of the youngest people in each year with the maximum height. We had to store the ClassIDs of the people we were looking at and then pass this information on to a Proc Print statement to get the desired output. By using Call Execute, we can shorten the process to get the output in at least two steps:

Proc Sort Data = Class Out = Sorted;
By Descending Year Age Descending Height;
Run;

Data First;
Set Sorted;
By Descending Year Age Descending Height;
If First.Year and First.Height Then Output First;
Call Execute ('Proc Print Data = _LAST_; Where Year = 2019; Run;');
Call Execute ('Proc Print Data = _LAST_; Where Year = 2013; Run;');
Run;

The output will be the same as it was in previous chapter.

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