Data Visualization in R With ggplot2
Creating Effective and Attractive Data Visualizations
By Kara Woo
Publisher: O'Reilly Media
Final Release Date: July 2016
Run time: 1 hour 1 minute

In this course, Kara Woo teaches you how to create great looking, insightful data visualizations using the R package ggplot2. Designed for researchers, data journalists, and budding data scientists with basic R knowledge (i.e., how to install packages, read data, perform simple data manipulations), this video covers the principles of data visualization and the specifics of how to use ggplot2 to create and customize a variety of visualizations.

After completing the course you'll have a thorough understanding of ggplot2 and a basic comprehension of visualization allowing you to work with the advanced tools required on complex projects and interactive visualizations.

  • Master the principles of data visualization and their use in ggplot2's grammar of graphics
  • Review data variable types and the kinds of visualizations that make sense for each data type
  • Explore basic plots, trellis plots, scatter plots, and how to view data distributions
  • Learn to customize axis scales, color scales, and other aspects of plot appearance
  • Discover ways to add complexity to visualizations using color, shapes, and themes
Kara Woo is a graduate student in library and information science at the University of Washington Information School. She is a certified instructor with both the Software Carpentry and Data Carpentry organizations where she teaches the fundamentals of R, data visualization, and Git to science, engineering, and medical researchers. She holds a Bachelor's Degree in Environmental Science from Brown University.
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(1 of 1 customers found this review helpful)


Informative but introductory

By Sep

from Henderson, NV

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  • Accurate
  • Helpful examples


  • Not comprehensive enough
  • Too Fast

Best Uses

  • Novice
  • Student

Comments about oreilly Data Visualization in R With ggplot2:

I good course for those unfamiliar with ggplot2, but it does leave a bit to be desired for intermediate users. For example, a slightly deeper dive into graph configuration would be helpful.

Also, the speed of the videos/coding is too fast to follow without having to pause the video every 10 seconds.

Other than those two things, I think it was helpful.

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