basic ggplot

R - ggplot.R

# Basic scatter plot of vocabulary (y) against education (x). Use geom_point()
ggplot(Vocab, aes(education, vocabulary))+geom_point()


# Use geom_jitter() instead of geom_point()
ggplot(Vocab, aes(education, vocabulary))+geom_jitter()


# Using the above plotting command, set alpha to a very low 0.2
ggplot(Vocab, aes(education, vocabulary))+geom_jitter(alpha = 0.2)



# Using the above plotting command, set the shape to 1
ggplot(Vocab, aes(education, vocabulary))+geom_jitter(alpha = 0.2, shape = 1)
ggplot(mtcars, aes(mpg, ..density..))+geom_histogram(binwidth = 1)


# Rate change
ggplot(economics, aes(x = date, y = unemploy/pop)) +
  geom_line() +
  geom_rect(data = recess, inherit.aes = FALSE, aes(xmin =begin, xmax=end, ymin = -Inf, ymax =+Inf), fill = "red", alpha = 0.2)

ggplot(data= titanic, aes(x=factor(Pclass), fill = factor(Sex)))+geom_bar(position="dodge")+facet_grid(.~Survived)