This course introduces both principles and practice of scientific data visualization, especially as applied to large multivariate data sets. Will cover common methods of visually summarizing data and illustrating relationships between variables of various common types (continuous, categorical, etc.) as well as design concepts for increasing the clarity of quantitative graphical communication. Will introduce modern “grammar of graphics” ideas as foundation for thinking about, relating, and ultimately building new types of informative plots. Implementations of covered methods in R will be presented. Students should bring their own laptops to the course with R and the associated packages dplyr, ggplot2 and pheatmap installed.
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