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Java Data Analysis

Java Data Analysis

By : John R. Hubbard
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Java Data Analysis

Java Data Analysis

By: John R. Hubbard

Overview of this book

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.
Table of Contents (14 chapters)
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13
Index

A spectacular example

In 1854, cholera broke out among the poor in London. The epidemic spread quickly, partly because nobody knew the source of the problem. But a physician named John Snow suspected it was caused by contaminated water. At that time, most Londoners drew their water from public wells that were supplied directly from the River Thames. The following figure shows the map that Snow drew, with black rectangles indicating the frequencies of cholera occurrences:

A spectacular example

Figure 3 Dr. Snow's Cholera Map

If you look closely, you can also see the locations of nine public water pumps, marked as black dots and labeled PUMP. From this data, we can easily see that the pump at the corner of Broad Street and Cambridge Street is in the middle of the epidemic. This data analysis led Snow to investigate the water supply at that pump, discovering that raw sewage was leaking into it through a break in the pipe.

By also locating the public pumps on the map, he demonstrated that the source was probably the pump at the corner of Broad Street and Cambridge Street. This was one of the first great examples of the successful application of data analysis to public health (for more information, see https://www1.udel.edu/johnmack/frec682/cholera/cholera2.html). President James K. Polk and composer Pyotr Ilyich Tchaikovsky were among the millions who died from cholera in the nineteenth century. But even today the disease is still a pandemic, killing around 100,000 per year world-wide.

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