Data Visualization in R With ggplot2

In this video course, Kara Woo demonstrates how to create stunning and informative data visualizations using the R package ggplot2. Designed for data journalists, researchers, and aspiring data scientists with basic R knowledge, the course covers the principles of data visualization and how to utilize ggplot2 to create and customize various visualizations.

By the end of the course, learners will have a solid understanding of ggplot2 and a basic grasp of visualization concepts. This foundation will enable them to utilize advanced tools for complex projects and interactive visualizations.

The course covers important topics such as the principles of data visualization and how they are applied within ggplot2's grammar of graphics. Participants will also learn how to select appropriate visualizations based on the data variables.

Additionally, the course explores techniques for viewing data distributions and creating basic, tree, and scatter plots. Participants will also gain insights into customizing axis and color scales to enhance the appearance of their plots.

Kara Woo, an accomplished graduate student at the University of Washington Information School, imparts her expertise as a certified instructor for both Software Carpentry and Data Carpentry organizations. With a Bachelor's degree in Environmental Science from Brown University, she specializes in teaching R fundamentals, data visualization, and Git to science, engineering, and medical researchers.

In conclusion, this video course provides essential knowledge and skills in data visualization using ggplot2. Whether you are a data journalist, researcher, or aspiring data scientist, this course equips you with the tools and techniques needed to create visually compelling and informative visualizations.