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Java Data Analysis

You're reading from   Java Data Analysis Data mining, big data analysis, NoSQL, and data visualization

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Product type Paperback
Published in Sep 2017
Publisher Packt
ISBN-13 9781787285651
Length 412 pages
Edition 1st Edition
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Author (1):
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John R. Hubbard John R. Hubbard
Author Profile Icon John R. Hubbard
John R. Hubbard
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Table of Contents (14) Chapters Close

Preface 1. Introduction to Data Analysis FREE CHAPTER 2. Data Preprocessing 3. Data Visualization 4. Statistics 5. Relational Databases 6. Regression Analysis 7. Classification Analysis 8. Cluster Analysis 9. Recommender Systems 10. NoSQL Databases 11. Big Data Analysis with Java A. Java Tools Index

Java implementation

Listing 3-1 shows a test driver for a TimeSeries class. The class is parameterized, the parameter being the object type of the event that is moving through time. In this program, that type is String.

An array of six strings is defined at line 11. These will be the events to be loaded into the series object that is instantiated at line 14. The loading is done by the load(), defined at lines 27-31 and invoked at line 15.

Java implementation

Listing 3-1. Test program for TimeSeries class

The contents of the series are loaded at line 15. Then at lines 17-21, the six key-value pairs are printed. Finally, at lines 23-24, we use the direct access capability of the ArrayList class to examine the series entry at index 3 (the fourth element). The output is shown in Figure 3-11.

Java implementation

Figure 3-11. Output from the TimeSeriesTester program

Notice that the list's element type is TimeSeries.Entry. That is a static nested class, defined inside the TimeSeries class, whose instances represent the key-value pairs...

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