Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Java Data Analysis
Java Data Analysis

Java Data Analysis: Data mining, big data analysis, NoSQL, and data visualization

Arrow left icon
Profile Icon John R. Hubbard
Arrow right icon
S$74.99
Paperback Sep 2017 412 pages 1st Edition
eBook
S$41.98 S$59.99
Paperback
S$74.99
Subscription
Free Trial
Arrow left icon
Profile Icon John R. Hubbard
Arrow right icon
S$74.99
Paperback Sep 2017 412 pages 1st Edition
eBook
S$41.98 S$59.99
Paperback
S$74.99
Subscription
Free Trial
eBook
S$41.98 S$59.99
Paperback
S$74.99
Subscription
Free Trial

What do you get with Print?

Product feature icon Instant access to your digital eBook copy whilst your Print order is Shipped
Product feature icon Paperback book shipped to your preferred address
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
OR
Modal Close icon
Payment Processing...
tick Completed

Shipping Address

Billing Address

Shipping Methods
Table of content icon View table of contents Preview book icon Preview Book

Java Data Analysis

Chapter 2. Data Preprocessing

Before data can be analyzed, it is usually processed into some standardized form. This chapter describes those processes.

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)

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.

Data points and datasets

In data analysis, it is convenient to think of the data as points of information. For example, in a collection of biographical data, each data point would contain information about one person. Consider the following data point:

("Adams", "John", "M", 26, 704601929)

It could represent a 26-year-old male named John Adams with ID number 704601929.

We call the individual data values in a data point fields (or attributes). Each of these values has its own type. The preceding example has five fields: three text and two numeric.

The sequence of data types for the fields of a data point is called its type signature. The type signature for the preceding example is (text, text, text, numeric, numeric). In Java, that type signature would be (String, String, String, int, int).

A dataset is a set of data points, all of which have the same type signature. For example, we could have a dataset that represents a group of people, each point representing a...

Relational database tables

In a relational database, we think of each dataset as a table, with each data point being a row in the table. The dataset's signature defines the columns of the table.

Here is an example of a relational database table. It has four rows and five columns, representing a dataset of four data points with five fields:

Last name

First name

Sex

Age

ID

Adams

John

M

26

704601929

White

null

F

39

440163867

Jones

Paul

M

49

602588410

Adams

null

F

30

120096334

Note

There are two null fields in this table.

Because a database table is really a set of rows, the order of the rows is irrelevant, just as the order of the data points in any dataset is irrelevant. For the same reason, a database table may not contain duplicate rows and a dataset may not contain duplicate data points.

Key fields

A dataset may specify that all values of a designated field be unique. Such a field is called a key field for the dataset. In the preceding example, the ID number field...

Hash tables

A dataset of key-value pairs is usually implemented as a hash table. It is a data structure in which the key acts like an index into the set, much like page numbers in a book or line numbers in a table. This direct access is much faster than sequential access, which is like searching through a book page-by-page for a certain word or phrase.

In Java, we usually use the java.util.HashMap<Key,Value> class to implement a key-value pair dataset. The type parameters Key and Value are specified classes. (There is also an older HashTable class, but it is considered obsolete.)

Here is a data file of seven South American countries:

Hash tables

Figure 2-1 Countries data file

Here is a Java program that loads this data into a HashMap object:

Hash tables

Listing 2-1 HashMap example for Countries data

The Countries.dat file is in the data folder. Line 15 instantiates a java.io.File object named dataFile to represent the file. Line 16 instantiates a java.util.HashMap object named dataset. It is structured to have...

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)

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.

Data points and datasets


In data analysis, it is convenient to think of the data as points of information. For example, in a collection of biographical data, each data point would contain information about one person. Consider the following data point:

("Adams", "John", "M", 26, 704601929)

It could represent a 26-year-old male named John Adams with ID number 704601929.

We call the individual data values in a data point fields (or attributes). Each of these values has its own type. The preceding example has five fields: three text and two numeric.

The sequence of data types for the fields of a data point is called its type signature. The type signature for the preceding example is (text, text, text, numeric, numeric). In Java, that type signature would be (String, String, String, int, int).

A dataset is a set of data points, all of which have the same type signature. For example, we could have a dataset that represents a group of people, each point representing a unique member of the group. Since...

Left arrow icon Right arrow icon
Download code icon Download Code

Key benefits

  • Get your basics right for data analysis with Java and make sense of your data through effective visualizations.
  • Use various Java APIs and tools such as Rapidminer and WEKA for effective data analysis and machine learning.
  • This is your companion to understanding and implementing a solid data analysis solution using Java

Description

Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the aim of discovering useful information. Java is one of the most popular languages to perform your data analysis tasks. This book will help you learn the tools and techniques in Java to conduct data analysis without any hassle. After getting a quick overview of what data science is and the steps involved in the process, you’ll learn the statistical data analysis techniques and implement them using the popular Java APIs and libraries. Through practical examples, you will also learn the machine learning concepts such as classification and regression. In the process, you’ll familiarize yourself with tools such as Rapidminer and WEKA and see how these Java-based tools can be used effectively for analysis. You will also learn how to analyze text and other types of multimedia. Learn to work with relational, NoSQL, and time-series data. This book will also show you how you can utilize different Java-based libraries to create insightful and easy to understand plots and graphs. By the end of this book, you will have a solid understanding of the various data analysis techniques, and how to implement them using Java.

Who is this book for?

If you are a student or Java developer or a budding data scientist who wishes to learn the fundamentals of data analysis and learn to perform data analysis with Java, this book is for you. Some familiarity with elementary statistics and relational databases will be helpful but is not mandatory, to get the most out of this book. A firm understanding of Java is required.

What you will learn

  • Develop Java programs that analyze data sets of nearly any size, including text
  • Implement important machine learning algorithms such as regression, classification, and clustering
  • Interface with and apply standard open source Java libraries and APIs to analyze and visualize data
  • Process data from both relational and non-relational databases and from time-series data
  • Employ Java tools to visualize data in various forms
  • Understand multimedia data analysis algorithms and implement them in Java.
Estimated delivery fee Deliver to Singapore

Standard delivery 10 - 13 business days

S$11.95

Premium delivery 5 - 8 business days

S$54.95
(Includes tracking information)

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Sep 19, 2017
Length: 412 pages
Edition : 1st
Language : English
ISBN-13 : 9781787285651
Category :
Languages :
Concepts :
Tools :

What do you get with Print?

Product feature icon Instant access to your digital eBook copy whilst your Print order is Shipped
Product feature icon Paperback book shipped to your preferred address
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
OR
Modal Close icon
Payment Processing...
tick Completed

Shipping Address

Billing Address

Shipping Methods
Estimated delivery fee Deliver to Singapore

Standard delivery 10 - 13 business days

S$11.95

Premium delivery 5 - 8 business days

S$54.95
(Includes tracking information)

Product Details

Publication date : Sep 19, 2017
Length: 412 pages
Edition : 1st
Language : English
ISBN-13 : 9781787285651
Category :
Languages :
Concepts :
Tools :

Packt Subscriptions

See our plans and pricing
Modal Close icon
$19.99 billed monthly
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Simple pricing, no contract
$199.99 billed annually
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just S$6 each
Feature tick icon Exclusive print discounts
$279.99 billed in 18 months
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just S$6 each
Feature tick icon Exclusive print discounts

Frequently bought together


Stars icon
Total S$ 278.97
Machine Learning: End-to-End guide for Java developers
S$128.99
Java Data Analysis
S$74.99
Big Data Analytics with Java
S$74.99
Total S$ 278.97 Stars icon
Banner background image

Table of Contents

13 Chapters
1. Introduction to Data Analysis Chevron down icon Chevron up icon
2. Data Preprocessing Chevron down icon Chevron up icon
3. Data Visualization Chevron down icon Chevron up icon
4. Statistics Chevron down icon Chevron up icon
5. Relational Databases Chevron down icon Chevron up icon
6. Regression Analysis Chevron down icon Chevron up icon
7. Classification Analysis Chevron down icon Chevron up icon
8. Cluster Analysis Chevron down icon Chevron up icon
9. Recommender Systems Chevron down icon Chevron up icon
10. NoSQL Databases Chevron down icon Chevron up icon
11. Big Data Analysis with Java Chevron down icon Chevron up icon
A. Java Tools Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

What is the delivery time and cost of print book? Chevron down icon Chevron up icon

Shipping Details

USA:

'

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

Premium: Delivery to addresses in Australia only
Trackable delivery to most P. O. Boxes and private residences in Australia within 4-5 days based on the distance to a destination following dispatch.

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

  1. Afghanistan
  2. American Samoa
  3. Belarus
  4. Brunei Darussalam
  5. Central African Republic
  6. The Democratic Republic of Congo
  7. Eritrea
  8. Guinea-bissau
  9. Iran
  10. Lebanon
  11. Libiya Arab Jamahriya
  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela
What is custom duty/charge? Chevron down icon Chevron up icon

Customs duty are charges levied on goods when they cross international borders. It is a tax that is imposed on imported goods. These duties are charged by special authorities and bodies created by local governments and are meant to protect local industries, economies, and businesses.

Do I have to pay customs charges for the print book order? Chevron down icon Chevron up icon

The orders shipped to the countries that are listed under EU27 will not bear custom charges. They are paid by Packt as part of the order.

List of EU27 countries: www.gov.uk/eu-eea:

A custom duty or localized taxes may be applicable on the shipment and would be charged by the recipient country outside of the EU27 which should be paid by the customer and these duties are not included in the shipping charges been charged on the order.

How do I know my custom duty charges? Chevron down icon Chevron up icon

The amount of duty payable varies greatly depending on the imported goods, the country of origin and several other factors like the total invoice amount or dimensions like weight, and other such criteria applicable in your country.

For example:

  • If you live in Mexico, and the declared value of your ordered items is over $ 50, for you to receive a package, you will have to pay additional import tax of 19% which will be $ 9.50 to the courier service.
  • Whereas if you live in Turkey, and the declared value of your ordered items is over € 22, for you to receive a package, you will have to pay additional import tax of 18% which will be € 3.96 to the courier service.
How can I cancel my order? Chevron down icon Chevron up icon

Cancellation Policy for Published Printed Books:

You can cancel any order within 1 hour of placing the order. Simply contact [email protected] with your order details or payment transaction id. If your order has already started the shipment process, we will do our best to stop it. However, if it is already on the way to you then when you receive it, you can contact us at [email protected] using the returns and refund process.

Please understand that Packt Publishing cannot provide refunds or cancel any order except for the cases described in our Return Policy (i.e. Packt Publishing agrees to replace your printed book because it arrives damaged or material defect in book), Packt Publishing will not accept returns.

What is your returns and refunds policy? Chevron down icon Chevron up icon

Return Policy:

We want you to be happy with your purchase from Packtpub.com. We will not hassle you with returning print books to us. If the print book you receive from us is incorrect, damaged, doesn't work or is unacceptably late, please contact Customer Relations Team on [email protected] with the order number and issue details as explained below:

  1. If you ordered (eBook, Video or Print Book) incorrectly or accidentally, please contact Customer Relations Team on [email protected] within one hour of placing the order and we will replace/refund you the item cost.
  2. Sadly, if your eBook or Video file is faulty or a fault occurs during the eBook or Video being made available to you, i.e. during download then you should contact Customer Relations Team within 14 days of purchase on [email protected] who will be able to resolve this issue for you.
  3. You will have a choice of replacement or refund of the problem items.(damaged, defective or incorrect)
  4. Once Customer Care Team confirms that you will be refunded, you should receive the refund within 10 to 12 working days.
  5. If you are only requesting a refund of one book from a multiple order, then we will refund you the appropriate single item.
  6. Where the items were shipped under a free shipping offer, there will be no shipping costs to refund.

On the off chance your printed book arrives damaged, with book material defect, contact our Customer Relation Team on [email protected] within 14 days of receipt of the book with appropriate evidence of damage and we will work with you to secure a replacement copy, if necessary. Please note that each printed book you order from us is individually made by Packt's professional book-printing partner which is on a print-on-demand basis.

What tax is charged? Chevron down icon Chevron up icon

Currently, no tax is charged on the purchase of any print book (subject to change based on the laws and regulations). A localized VAT fee is charged only to our European and UK customers on eBooks, Video and subscriptions that they buy. GST is charged to Indian customers for eBooks and video purchases.

What payment methods can I use? Chevron down icon Chevron up icon

You can pay with the following card types:

  1. Visa Debit
  2. Visa Credit
  3. MasterCard
  4. PayPal
What is the delivery time and cost of print books? Chevron down icon Chevron up icon

Shipping Details

USA:

'

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

Premium: Delivery to addresses in Australia only
Trackable delivery to most P. O. Boxes and private residences in Australia within 4-5 days based on the distance to a destination following dispatch.

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

  1. Afghanistan
  2. American Samoa
  3. Belarus
  4. Brunei Darussalam
  5. Central African Republic
  6. The Democratic Republic of Congo
  7. Eritrea
  8. Guinea-bissau
  9. Iran
  10. Lebanon
  11. Libiya Arab Jamahriya
  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela