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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
Languages
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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

Box plot

The box and whiskers plot, or box plot, it's as popularly called in SAS, is a plot of measurement organized in groups. The box plot displays the mean, quartiles, and minimum and maximum observations for a group. The benefit of a box plot is that it can display a variable's location and spread. It can showcase outliers and provide insight into the skewness of the data:

Title 'Basic Form of Box Plot';
Proc SGPLOT Data=Class;
VBox Height / Category=Year;
Run;

This produces the following chart:

As you can see from the Box Plot, the year 2019 has more variance in the height of students than in 2013.

We can also use the built-in Box Plot procedure as an alternative to the preceding use of the SGPLOT procedure:

Proc Boxplot Data=Class;
Plot Height*Age;
Inset Min Mean Max Stddev / Header='Height Statistics' POS=RM;
Run;

This produces the following...

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