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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
2. Introduction to SAS Programming FREE CHAPTER 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

Exchanging values between the DATA step and macro variables

In upcoming sections, we will explore the various options that we have for exchanging values between the DATA step and macro variables and compare them.

Choosing between CALL SYMGET and CALL SYMPUT

In previous chapters, we discussed CALL SYMPUT. As you may recall, CALL SYMPUT was used to transfer DATA step variable values to a macro variable. On many occasions, you will need to transfer values from macro variables to DATA steps. Always remember the following process flow when you're trying to remember if you need to use SYMPUT or SYMGET in coding:

Without the SYMGET function, you will struggle to use macro variables in the DATA step, which includes the DATALINES...

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