install.packages(c("ggplot2", "plyr", "stringr"))
Introductions and course outline.
Create informative scatterplots: add extra variables with aesthetics (like color, shape and size) or facetting. Create graphics for large data: histograms and bar charts for displaying distributional summaries; boxplots; scatterplots variations that overcome the over-plotting problems associated with large data.
Basic tools for critiquing a graphic. Advanced layered techniques. Overlay graphic elements using ggplot layers: combining raw data with statistical summaries and contextual information.