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You're reading from  Java for Data Science

Product typeBook
Published inJan 2017
Reading LevelIntermediate
PublisherPackt
ISBN-139781785280115
Edition1st Edition
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Authors (2):
Richard M. Reese
Richard M. Reese
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Richard M. Reese

Richard Reese has worked in the industry and academics for the past 29 years. For 10 years he provided software development support at Lockheed and at one point developed a C based network application. He was a contract instructor providing software training to industry for 5 years. Richard is currently an Associate Professor at Tarleton State University in Stephenville Texas. Richard is the author of various books and video courses some of which are as follows: Natural Language Processing with Java. Java for Data Science Getting Started with Natural Language Processing in Java
Read more about Richard M. Reese

Jennifer L. Reese
Jennifer L. Reese
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Jennifer L. Reese

Jennifer L. Reese studied computer science at Tarleton State University. She also earned her M.Ed. from Tarleton in December 2016. She currently teaches computer science to high-school students. Her interests include the integration of computer science concepts with other academic disciplines, increasing diversity in computer science courses, and the application of data science to the field of education. She has co-authored two books: Java for Data Science and Java 7 New Features Cookbook. She previously worked as a software engineer. In her free time she enjoys reading, cooking, and traveling—especially to any destination with a beach. She is a musician and appreciates a variety of musical genres.
Read more about Jennifer L. Reese

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Summary


In this chapter, we introduce basic graphs, plots, and charts used to visualize data. The process of visualization enables an analyst to graphically examine the data under review. This is more intuitive, and often facilitates the rapid identification of anomalies in the data that can be hard to extract from the raw data.

Several visual representations were examined, including line charts, a variety of bar charts, pie charts, scatterplots, histograms, donut charts, and bubble charts. Each of these graphical depictions of data provides a different perspective of the data being analyzed. The most appropriate technique depends on the nature of the data being used. While we have not covered all of the possible graphical techniques, this sample provides a good overview of what is available.

We were also concerned with how Java is used to draw these graphics. Many of the examples used JavaFX. This is a readily available tool that is bundled with Java SE. However, there are several other libraries...

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Java for Data Science
Published in: Jan 2017Publisher: PacktISBN-13: 9781785280115

Authors (2)

author image
Richard M. Reese

Richard Reese has worked in the industry and academics for the past 29 years. For 10 years he provided software development support at Lockheed and at one point developed a C based network application. He was a contract instructor providing software training to industry for 5 years. Richard is currently an Associate Professor at Tarleton State University in Stephenville Texas. Richard is the author of various books and video courses some of which are as follows: Natural Language Processing with Java. Java for Data Science Getting Started with Natural Language Processing in Java
Read more about Richard M. Reese

author image
Jennifer L. Reese

Jennifer L. Reese studied computer science at Tarleton State University. She also earned her M.Ed. from Tarleton in December 2016. She currently teaches computer science to high-school students. Her interests include the integration of computer science concepts with other academic disciplines, increasing diversity in computer science courses, and the application of data science to the field of education. She has co-authored two books: Java for Data Science and Java 7 New Features Cookbook. She previously worked as a software engineer. In her free time she enjoys reading, cooking, and traveling—especially to any destination with a beach. She is a musician and appreciates a variety of musical genres.
Read more about Jennifer L. Reese