Tania Moulik - Applied Data Visualization with R and ggplot2

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Acquisitions Editor: Aditya Date
Content Development Editors: Darren Patel, Tanmayee Patil
Production Coordinator: Arvindkumar Gupta

First published: September 2018

Production reference: 1270918

Published by Packt Publishing Ltd.
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ISBN 978-1-78961-215-8

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Dr. Tania Moulik has a PhD in particle physics. She worked at CERN and the Tevatron at Fermi National Accelerator Laboratory in IL, USA. She has worked with C++, Python, and R. She also worked in big data projects and grid computing. She has a passion for data analysis and likes to share her knowledge with others who would like to delve into the world of data analytics. She especially likes R and ggplot2 as a powerful analytics package.

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This book introduces you to the world of data visualization by talking about the basic features of ggplot2. Learn all about setting up the R environment and then begin exploring features of ggplot2. Grammar of graphics and geometric objects are the fundamentals you must know before you dive deep into the plotting techniques. Read and discover what are layers, scales, coordinates, and themes, and explore how you can use them to transform your data into aesthetical graphs. Learn the simple plots, such as histograms, and then some advanced plots, such as superimposing plots and density plots. Learn to plot trends, correlations, and statistical summaries. After reading this book, your data visualizations will wow clients.

After completing this book, you will be able to:

• Set up the R environment, RStudio, and explain structure of ggplot2
• Distinguish types of variables and use best practices to visualize them
• Change visualization defaults to reveal more information about data
• Implement the grammar of graphics in ggplot2 such as scales and faceting
• Build complex, aesthetic visualizations with ggplot2 analysis methods
• Logically and systematically explore complex relationships
• Compare variables in a single visual, with advanced plotting methods

This book is meant for professionals, who work with data and R, and for students, who want to enhance their data analysis skills by adding informative and professional visualizations. We assume that readers know basics of the R language, its commands, and objects.

, Basic Plotting in ggplot2, will help you to understand Kubernetes patterns which would be presented with the examples from Kubernetes itself and external applications.

, Grammar of Graphics and Visual Components, will help you to cover accessing Kubernetes API with raw HTTP queries to complex libraries with both in-cluster and out-cluster examples.

, Advanced Geoms And Statistics, will present extension capabilities of Kubernetes with custom resource definitions, custom controllers, dynamic admission controllers, and custom schedulers.

For an optimal experience, we recommend the following hardware configuration:

• Processor: Intel Core i5 or equivalent
• Memory: 4GB RAM
• Storage: 35 GB available space

You'll also need the following software installed in advance:

• OS: Windows 7 SP1 64-bit, Windows 8.1 64-bit, or Windows 10 64-bit
• Browser: Google Chrome, Latest Version
• Installing R:

1. To install the R package and libraries, go to http://cran.us.r-project.org/ in your browser.
2. Click on Download R for Windows, click on base, then click on Download R 3.5.0 for Windows (or any newer version that appears).
3. Install R. Leave all default settings as they are in the installation options.

• Installing RStudio:

1. To install RStudio, go to http://rstudio.org/download/desktop .
2. Choose the default installation.
3. Open RStudio after installation. It uses the underlying R package and will open it automatically in the IDE.

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