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Applied Data Visualization with R and ggplot2

More Information
Learn
  • Set up the R environment, RStudio, and understand the structure of ggplot2
  • Distinguish 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 and aesthetic visualizations with ggplot2 analysis methods
  • Logically and systematically explore complex relationships
  • Compare variables in a single visual, with advanced plotting methods
About

Applied Data Visualization with R and ggplot2 introduces you to the world of data visualization by taking you through the basic features of ggplot2. To start with, you'll learn how to set up the R environment, followed by getting insights into the grammar of graphics and geometric objects before you explore the plotting techniques.

You'll discover what layers, scales, coordinates, and themes are, and study how you can use them to transform your data into aesthetical graphs. Once you've grasped the basics, you'll move on to studying simple plots such as histograms and advanced plots such as superimposing and density plots. You'll also get to grips with plotting trends, correlations, and statistical summaries.

By the end of this course, you'll have created data visualizations that will impress your clients.

Features
  • Discover structure of ggplot2, grammar of graphics, and geometric objects
  • Study how to design and implement visualization from scratch
  • Explore the advantages of using advanced plots
Course Length 2 hours 17 minutes
ISBN 9781789808476
Date Of Publication 23 Jan 2019

Authors

Chris Dalla Villa

Chris DallaVilla is the founder and CEO of VALID., an independent marketing consulting practice specializing in providing data-driven solutions that help chief marketing officers and their teams strengthen their planning and execution, and drive results. Chris has expertise in digital and social media marketing, as well as certifications in Agile, Google AdWords, and Google Analytics. He studied computer science at Harvard University, design technology at Massachusetts College of Art and Design, and advertising and marketing communications at the Questrom School of Business at Boston University.

Dr. Tania Moulik

Tania Moulik has a PhD in particle physics. She has worked at CERN, the European Organization for Nuclear Research, and on the Tevatron at Fermi National Accelerator Laboratory in IL, USA. She has years of programming experience in C++, Python, and R. She has also worked in the feld of big data and has worked with technologies such as grid computing. She has a passion for data analysis and would like to share her passion with others who would like to delve into the world of data analytics. She especially likes R and ggplot2 as a powerful analytics package.