Glossary

Key Points

Before we Start	This is not an introduction to R Visualisation is a useful way of representing data We are going to study diamonds!
Getting started	Plots in ggplot2 are build by adding layers
Further mapping	Data can be plottet as something other than position Types of plots are determined by `geom_`functions
Different types of plots	Categorical data, aka factors can control the order of data in plots ggplot makes it easy to make many different types of plots ggplot have many useful extensions
Facetting	Facetting can make busy plots more understandable Grid facetting in two dimensions allows us to plot even more variables
Scaling and coordinates	Pie charts are a bad idea! Zooming might exclude data if done wrong Play around to find the colors you like
Theming	EVERYTHING in the plot can be customized
Saving and exporting	The easiest way to adjust the size of your saved plots is by adjusting the plot window in RStudio
Whats next?	ggplot2 is extensible - a LOT of extensions are available

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