#install tidyverse package (you will only need to do this the first time you use it) install.packages("tidyverse") # Load the tidyverse suite (note: you will get a conflicts warning because some of the tidyverse names are the same as those in the base program. You can ignore it) library(tidyverse) # Convert mtcars to a tibble and make the row names a new column # The column 'model' will contain the car names (e.g., 'Mazda RX4') data_cars <- mtcars %>% rownames_to_column(var = "model") %>% as_tibble() # View the structure of the data to understand the variables head(data_cars) str(data_cars) #you can learn about the data set (variable names and explanations and the source of the data) with this command ?mtcars" Based on thar information, please help me to answer this question "We will examine the distribution of hp (gross horsepower) for a specific subgroup. Filter the full data_cars dataset to include only cars with 4-barrel carburetors (carb == 4)