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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 we were introduced to concatenation, we looked at the simplest of datasets. Both datasets had variables with similar attributes, equal variable length, and the same type of variables. We ended up with a result that had the two datasets stacked together.

Different variable length and additional variables

Now, we will look at some small dataset differences that we need to overcome in the practical world. As part of the deep dive, we will also look at the APPEND methodology to concatenate datasets. Let's get started:

Data Customer;
Set Customer_X Customer_Y;
Run;

This will give us the following tables as output:

Note that we have missing values for the Dependents variable in the output:

A quick look at...

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