Book Image

Java: Data Science Made Easy

By : Richard M. Reese, Jennifer L. Reese, Alexey Grigorev
Book Image

Java: Data Science Made Easy

By: Richard M. Reese, Jennifer L. Reese, Alexey Grigorev

Overview of this book

Data science is concerned with extracting knowledge and insights from a wide variety of data sources to analyse patterns or predict future behaviour. It draws from a wide array of disciplines including statistics, computer science, mathematics, machine learning, and data mining. In this course, we cover the basic as well as advanced data science concepts and how they are implemented using the popular Java tools and libraries.The course starts with an introduction of data science, followed by the basic data science tasks of data collection, data cleaning, data analysis, and data visualization. This is followed by a discussion of statistical techniques and more advanced topics including machine learning, neural networks, and deep learning. You will examine the major categories of data analysis including text, visual, and audio data, followed by a discussion of resources that support parallel implementation. Throughout this course, the chapters will illustrate a challenging data science problem, and then go on to present a comprehensive, Java-based solution to tackle that problem. You will cover a wide range of topics – from classification and regression, to dimensionality reduction and clustering, deep learning and working with Big Data. Finally, you will see the different ways to deploy the model and evaluate it in production settings. By the end of this course, you will be up and running with various facets of data science using Java, in no time at all. This course contains premium content from two of our recently published popular titles: - Java for Data Science - Mastering Java for Data Science
Table of Contents (29 chapters)
Title Page
Credits
Preface
Free Chapter
1
Module 1
15
Module 2
26
Bibliography

Creating bar charts


A bar chart uses two axes with rectangular bars that can be either positioned either vertically or horizontally. The length of a bar is proportional to the value it represents. A bar chart can be used to show time series data.

In the following series of examples, we will be using a set of European country populations for three decades, as listed in the following table. The data is a subset of population data found at https://ourworldindata.org/grapher/population-by-country?tab=data:

Country

1950

1960

1970

Belgium

8,639,369

9,118,700

9,637,800

France

42,518,000

46,584,000

51,918,000

Germany

68,374,572

72,480,869

77,783,164

Netherlands

10,113,527

11,486,000

13,032,335

Sweden

7,014,005

7,480,395

8,042,803

United Kingdom

50,127,000

52,372,000

55,632,000

 

The first of three bar charts will be constructed using JavaFX. We start with a series of declarations for the countries as part of a class that extends the Application class:

public class MainApp extends Application { 
    final static String belgium...