Marginal and conditional histograms
Now, turn your attention to a new variable: horsepwr. The goal is to get a sense of the marginal distribution of this variable and then compare it to the distribution of horsepower conditional on the price of the car being less than $25,000.
You'll be making two plots using the "data pipeline" paradigm, where you start with the raw data and end with the plot.
This exercise is part of the course
Exploratory Data Analysis in R
Exercise instructions
- Create a histogram of the distribution of
horsepwracross all cars and add an appropriate title. Start by piping in the raw dataset. - Create a second histogram of the distribution of horsepower, but only for those
cars that have an
msrpless than $25,000. Keep the limits of the x-axis so that they're similar to that of the first plot, and add a descriptive title.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create hist of horsepwr
cars %>%
ggplot(aes(___)) +
___ +
ggtitle(___)
# Create hist of horsepwr for affordable cars
cars %>%
filter(___) %>%
ggplot(aes(___)) +
___ +
xlim(c(90, 550)) +
ggtitle(___)