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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 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

Scatter charts

These diagrams are used to establish whether there is a correlation between the variables that have been plotted.

If you remember the Cost_Living dataset well, you may recollect the Other variable. We don't know how it contributes to the cost of living index that's calculated for each city. Let's try and understand the relationship between Other and Index using scatter plots. As always, we will start with the simple form of scatter plot before we try and mix things up with the options and functionalities that the scatter plot offers us in the SAS environment:

Title "Index and Other Relationship";
Proc SGPLOT Data=Cost_Living;
Scatter X=Index Y=Other;
Run;

This will result in the following chart as the output:

From the dataset, we know that the value of Other ranges from 1 to 16. Apart from the value of 5 for Other when the Index value...

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