Vehicle info from the EPA for 2012

Details from the EPA.

Usage

epa2012

Format

A data frame with 1129 observations on the following 28 variables.

model_yr: a numeric vector
mfr_name: Manufacturer name.
division: Vehicle division.
carline: Vehicle line.
mfr_code: Manufacturer code.
model_type_index: Model type index.
engine_displacement: Engine displacement.
no_cylinders: Number of cylinders.
transmission_speed: Transmission speed.
city_mpg: City mileage.
hwy_mpg: Highway mileage.
comb_mpg: Combined mileage.
guzzler: Whether the car is considered a "guzzler" or not, a factor with levels N and Y.
air_aspir_method: Air aspiration method.
air_aspir_method_desc: Air aspiration method description.
transmission: Transmission type.
transmission_desc: Transmission type description.
no_gears: Number of gears.
trans_lockup: Whether transmission locks up, a factor with levels N and Y.
trans_creeper_gear: A factor with level N only.
drive_sys: Drive system, a factor with levels.
drive_desc: Drive system description.
fuel_usage: Fuel usage, a factor with levels.
fuel_usage_desc: Fuel usage description.
class: Class of car.
car_truck: Car or truck, a factor with levels car, 1, 2.
release_date: Date of vehicle release.
fuel_cell: Whether the car has a fuel cell or not, a factor with levels N, Y.

Source

Fueleconomy.gov, Shared MPG Estimates: Toyota Prius 2012.

Examples


library(ggplot2)
library(dplyr)

# Variable descriptions
distinct(epa2012, air_aspir_method_desc, air_aspir_method)
#> # A tibble: 4 × 2
#>   air_aspir_method_desc air_aspir_method
#>   <fct>                 <fct>           
#> 1 Naturally Aspirated   NA              
#> 2 Turbocharged          TC              
#> 3 Supercharged          SC              
#> 4 NA                    NA              
distinct(epa2012, transmission_desc, transmission)
#> # A tibble: 7 × 2
#>   transmission_desc                                        transmission
#>   <fct>                                                    <fct>       
#> 1 Manual                                                   M           
#> 2 Automated Manual                                         AM          
#> 3 Semi-Automatic                                           SA          
#> 4 Automatic                                                A           
#> 5 Selectable Continuously Variable (e.g. CVT with paddles) SCV         
#> 6 Continuously Variable                                    CVT         
#> 7 Other                                                    OT          
distinct(epa2012, drive_desc, drive_sys)
#> # A tibble: 5 × 2
#>   drive_desc              drive_sys
#>   <fct>                   <fct>    
#> 1 2-Wheel Drive, Rear     R        
#> 2 All Wheel Drive         A        
#> 3 2-Wheel Drive, Front    F        
#> 4 4-Wheel Drive           4        
#> 5 Part-time 4-Wheel Drive P        
distinct(epa2012, fuel_usage_desc, fuel_usage)
#> # A tibble: 7 × 2
#>   fuel_usage_desc                           fuel_usage
#>   <fct>                                     <fct>     
#> 1 Gasoline (Premium Unleaded Recommended)   GP        
#> 2 Gasoline (Premium Unleaded Required)      GPR       
#> 3 Gasoline (Regular Unleaded Recommended)   G         
#> 4 Electricity                               EL        
#> 5 Diesel                                    DU        
#> 6 Gasoline (Mid Grade Unleaded Recommended) GM        
#> 7 Hydrogen                                  H         

# Guzzlers and their mileages
ggplot(epa2012, aes(x = city_mpg, y = hwy_mpg, color = guzzler)) +
  geom_point() +
  facet_wrap(~guzzler, ncol = 1)

Usage

Format

Source

See also

Examples