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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
www.PacktPub.com
Customer Feedback
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

File formats


The Countries.dat data file in the preceding example is a flat file—an ordinary text file with no special structure or formatting. It is the simplest kind of data file.

Another simple, common format for data files is the comma separated values (CSV) file. It is also a text file, but uses commas instead of blanks to separate the data values. Here is the same data as before, in CSV format:

Figure 2-4 A CSV data file

Note

In this example, we have added a header line that identifies the columns by name: Country and Population.

For Java to process this correctly, we must tell the Scanner object to use the comma as a delimiter. This is done at line 18, right after the input object is instantiated:

Listing 2-3 A program for reading CSV data

The regular expression ,|\\s means comma or any white space. The Java symbol for white space (blanks, tabs, newline, and so on.) is denoted by '\s'. When used in a string, the backslash character itself must be escaped with another preceding backslash...

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