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.