Chapter 8 Presenting distributions
Table 8.1 shows the geometric objects we will be working with below. In addition to the name of the object, you will also find a link where you can find more illustrations and examples on how they work.
|Name||Function||Cookbook for R|
||Bar and line graphs|
8.1 Bar plot
The first plot we will do is a bar plot. To do this we use a variable on the number of restrictions on abortion (
ggplot(states, aes(x=abortlaw10)) + geom_bar()
The next figure we will work with is the histogram. Here we will plot the distribution of Obama’s vote share in 2012 (the
obama2012 variable) and use
ggplot(states, aes(x=obama2012)) + geom_histogram()
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
As you can see, we get a message about the use of a default binwidth. This is to emphasize the importance of specifying the binwidth yourself. We can change the bin width by adding
ggplot(states, aes(x=obama2012)) + geom_histogram(binwidth = 5)
Play around with different binwidths to see how it affects the distribution in the figure.
8.3 Density plots
The histogram is not the only way to show the distribution of a variable. To make a density plot, you can use
geom_density(). We use the
obama2012 variable again.
ggplot(states, aes(x=obama2012)) + geom_density()
Do compare the density plot to the histograms above.