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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
2. Introduction to SAS Programming FREE CHAPTER 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

Line plots

We will explore the most basic format of the line plot on a single axis and move on to exploring a few more aspects of this chart in this section. Use the following query to create a line chart where we are interested in finding out the frequency of the Age variable:

Proc SGPLOT Data=Class;
Vline Age;
Title 'Basic Form of Line Chart using SGPLOT';
Run;

We get the following plot as the output:

There are only four data points for Age, and the y axis has the frequency of each data point.

The preceding chart only contains one series. We will not get a meaningful output if we use the following similar code for the Class dataset. Let's use the Cost_Living dataset we first used in Chapter 1, Introduction to SAS Programming, to plot a line chart with multiple series:

Proc SGPLOT Data=Cost_living;
Series X=City Y=Index / Legendlabel="Current Yr Index...
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