Data on display: R plots with ggplot2

This course will teach you how to harness the power of visualization in R to explore data and to present your findings to others. In addition to learning the mechanics of learning to write code for visualizations, you will also learn how to use the art of visualization to tell a story with your data. We will be focusing on learning how to use ggplot2, one of the the most popular R packages, to produce a variety of high quality visualizations.

Topics include:

  • Building a plot in layers with ggplot2
  • Implementing the Grammar of Graphics in R
  • Visualization strategies for univariate, bivariate, and multivariate data
  • Histograms, boxplots, and kernel density plots for visualizing the distribution of continuous variables
  • Simple, stacked, and grouped barplots for visualizing the distribution of discrete variables
  • Scatterplots and linegraphs for visualizing the relationship between two continuous variables
  • Time series plots to visualize epidemic trends
  • Grouping and faceting plots to visualize relationships among three or more variables
  • Customizing plots with labels, color palettes, and themes

During the beta release (November 28 to December 13), new lessons will be made public every week.

Course Content

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Course Includes

  • 1 Topic