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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

Data types


Data is categorized into types. A data type identifies not only the form of the data but also what kind of operations can be performed upon it. For example, arithmetic operations can be performed on numerical data, but not on text data.

A data type can also determine how much computer storage space an item requires. For example, a decimal value like 3.14 would normally be stored in a 32-bit (four bytes) slot, while a web address such as https://google.com might occupy 160 bits.

Here is a categorization of the main data types that we will be working with in this book. The corresponding Java types are shown in parentheses:

  • Numeric types

    • Integer (int)

    • Decimal (double)

  • Text type

    • String (String)

  • Object types

    • Date (java.util.Date)

    • File (java.io.File)

    • General object (Object)

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