Make sure you have the following software installed:
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 techniques for visualising data that has time and or space components. Merging/joining data
Polish your plots: tweak your plots for maximum presentation impact; introduction to color theory; labels, legends and axes; tweaking the plot themes.
What is tidy data, why it’s useful and how to make messy data tidy
Models as tools, linear models, removing group means