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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

Subsetting datasets

In many instances, we will need to select only a proportion of the overall dataset. This selection or subsetting of the dataset can be done in three ways:

  • Use of the WHERE and IF statements
  • Using the SAS dataset OPTIONS
  • Using the DROP and KEEP statements

WHERE and IF statements

Let's only select the data where the records have been updated in 2019:

DATA Updated_2019;
SET Cost_Living;
WHERE Year(Updated) = 2019;
RUN;

The following output will be generated:

In this instance, we could have also used the IF statement to generate similar output. We can also use WHERE and IF statements in the same data step:

DATA Updated_2019;
SET Cost_Living;
WHERE Year(Updated) = 2019;
IF Index >= 80;
RUN;

This further...

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