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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
Languages
Concepts
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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 (20) Chapters Close

Java Data Analysis
Credits
About the Author
About the Reviewers
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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 Java Tools Index

Summary


This chapter discussed various organizational processes used to prepare data for analysis. When used in computer programs, each data value is assigned a data type, which characterizes the data and defines the kind of operations that can be performed upon it.

When stored in a relational database, data is organized into tables, in which each row corresponds to one data point, and where all the data in each column corresponds to a single field of a specified type. The key field(s) has unique values, which allows indexed searching.

A similar viewpoint is the organization of data into key-value pairs. As in relational database tables, the key fields must be unique. A hash table implements the key-value paradigm with a hash function that determines where the key's associated data is stored.

Data files are formatted according to their file type's specifications. The comma-separated value type (CSV) is one of the most common. Common structured data file types include XML and JSON.

The information...

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