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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 2. Data Preprocessing FREE CHAPTER 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

Variables


In computer science, we think of a variable as a storage location that holds a data value. In Java, a variable is introduced by declaring it to have a specific type. For example, consider the following statement:

String lastName;

It declares the variable lastName to have type String.

We can also initialize a variable with an explicit value when it is declared, like this:

double temperature = 98.6;

Here, we would think of a storage location named temperature that contains the value 98.6 and has type double.

Structured variables can also be declared and initialized in the same statement:

int[] a = {88, 11, 44, 77, 22};

This declares the variable a to have type int[] (array of ints) and contain the five elements specified.

You have been reading a chapter from
Java Data Analysis
Published in: Sep 2017
Publisher: Packt
ISBN-13: 9781787285651
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