cars04: cars04

In openintro: Datasets and Supplemental Functions from 'OpenIntro' Textbooks and Labs

cars04

Description

A data frame with 428 rows and 19 columns. This is a record of characteristics on all of the new models of cars for sale in the US in the year 2004.

Usage

cars04

Format

A data frame with 428 observations on the following 19 variables.

name

The name of the vehicle including manufacturer and model.

sports_car

Logical variable indicating if the vehicle is a sports car.

suv

Logical variable indicating if the vehicle is an suv.

wagon

Logical variable indicating if the vehicle is a wagon.

minivan

Logical variable indicating if the vehicle is a minivan.

pickup

Logical variable indicating if the vehicle is a pickup.

all_wheel

Logical variable indicating if the vehicle is all-wheel drive.

rear_wheel

Logical variable indicating if the vehicle is rear-wheel drive.

msrp

Manufacturer suggested retail price of the vehicle.

dealer_cost

Amount of money the dealer paid for the vehicle.

eng_size

Displacement of the engine - the total volume of all the cylinders, measured in liters.

ncyl

Number of cylinders in the engine.

horsepwr

Amount of horsepower produced by the engine.

city_mpg

Gas mileage for city driving, measured in miles per gallon.

hwy_mpg

Gas mileage for highway driving, measured in miles per gallon.

weight

Total weight of the vehicle, measured in pounds.

wheel_base

Distance between the center of the front wheels and the center of the rear wheels, measured in inches.

length

Total length of the vehicle, measured in inches.

width

Total width of the vehicle, measured in inches.

Examples

library(ggplot2)

# Highway gas mileage
ggplot(cars04, aes(x = hwy_mpg)) +
  geom_histogram(
    bins = 15, color = "white",
    fill = openintro::IMSCOL["green", "full"]
  ) +
  theme_minimal() +
  labs(
    title = "Highway gas milage for cars from 2004",
    x = "Gas Mileage (miles per gallon)",
    y = "Number of cars"
  )

openintro documentation built on June 22, 2024, 7:37 p.m.