About this video

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.

Publication date:
January 2019
2 hours 17 minutes

About the 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.

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  • 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.

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Applied Data Visualization with R and ggplot2
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