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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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Toc

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

Concatenation

When dealing with strings, multiple variables may need to be joined together with some form of concatenation function. We will explore some of these options in the following sections.

CAT

We explored COALESCE and related functions to help us choose from multiple values. However, there are other instances when we want to join observations together. Earlier, the concatenation operator (||) was mentioned when we showcased the difference between the Compress, Strip, and Trim functions. The CAT function is a built-in function in SAS to help join observations. Let's compare it with the use of the concatenation operator in the following code block:

 73         Data _Null_;
74 A = "This ";
75 ...
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