ComenzarEmpieza gratis

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.

Este ejercicio forma parte del curso

Análisis exploratorio de datos en R

Ver curso

Instrucciones de ejercicio

  • Create a histogram of the distribution of horsepwr across 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 msrp less 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.

Ejercicio interactivo práctico

Pruebe este ejercicio completando este código de muestra.

# Create hist of horsepwr
cars %>%
  ggplot(aes(___)) +
  ___ +
  ggtitle(___)

# Create hist of horsepwr for affordable cars
cars %>% 
  filter(___) %>%
  ggplot(aes(___)) +
  ___ +
  xlim(c(90, 550)) +
  ggtitle(___)
Editar y ejecutar código