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Hands-On SAS for Data Analysis

You're reading from   Hands-On SAS for Data Analysis A practical guide to performing effective queries, data visualization, and reporting techniques

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Product type Paperback
Published in Sep 2019
Publisher Packt
ISBN-13 9781788839822
Length 346 pages
Edition 1st Edition
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Author (1):
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Harish Gulati Harish Gulati
Author Profile Icon Harish Gulati
Harish Gulati
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Table of Contents (17) Chapters Close

Preface 1. Section 1: SAS Basics FREE CHAPTER
2. Introduction to SAS Programming 3. Data Manipulation and Transformation 4. Section 2: Merging, Optimizing, and Descriptive Statistics
5. Combining, Indexing, Encryption, and Compression Techniques Simplified 6. Power of Statistics, Reporting, Transforming Procedures, and Functions 7. Section 3: Advanced Programming
8. Advanced Programming Techniques - SAS Macros 9. Powerful Functions, Options, and Automatic Variables Simplified 10. Section 4: SQL in SAS
11. Advanced Programming Techniques Using PROC SQL 12. Deep Dive into PROC SQL 13. Section 5: Data Visualization and Reporting
14. Data Visualization 15. Reporting and Output Delivery System 16. Other Books You May Enjoy

SAS programming language – basic syntax

We used code in the first program to create an output dataset. The dataset was created by what is known as data steps. Data steps are a collection of statements that can help create, modify, and control the output. SAS also leverages Structured Query Language (SQL). Let's review the basic syntax for data steps and SQL within SAS. We will continue to explore more advanced versions of code throughout this book.

Data step

The following code represents one of the simplest forms of a data step:

DATA WORK.Air;
SET SASHELP.Air;
RUN;

Using the SET statement in this data step, we have specified the dataset that we want to refer to. There are no conditional statements in the program...

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