## 11.9 Examples

Figure 11.17 shows a modified version of a scatterplot I call a balloonplot:

# Turn a boring scatterplot into a  balloonplot!

# Create some random correlated data
x <- rnorm(50, mean = 50, sd = 10)
y <- x + rnorm(50, mean = 20, sd = 8)

# Set up the plotting space
plot(1,
bty = "n",
xlim = c(0, 100),
ylim = c(0, 100),
type = "n", xlab = "", ylab = "",
main = "Turning a scatterplot into a balloon plot!")

grid()

segments(x0 = x + rnorm(length(x), mean = 0, sd = .5),
y0 = y - 10,
x1 = x,
y1 = y,
col = gray(.1, .95),
lwd = .5)

points(x, y,
cex = 2, # Size of the balloons
pch = 21,
col = "white", # white border
bg = yarrr::piratepal("basel"))  # Filling color

You can use colors and point sizes in a scatterplot to represent third variables. In Figure 11.18, I’ll plot the relationship between pirate height and weight, but now I’ll make the size and color of each point reflect how many tattoos the pirate has

# Just the first 100 pirates
pirates.r <- pirates[1:100,]

plot(x = pirates.r$height, y = pirates.r$weight,
xlab = "height",
ylab = "weight",
main = "Specifying point sizes and colors with a 3rd variable",
cex = pirates.r$tattoos / 8, # Point size reflects how many tattoos they have col = gray(1 - pirates.r$tattoos / 20)) # color reflects tattoos

grid()