gtcars: Deluxe automobiles from the 2014-2017 period

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Deluxe automobiles from the 2014-2017 period

Description

Expensive and fast cars. Not your father's mtcars. Each row describes a car of a certain make, model, year, and trim. Basic specifications such as horsepower, torque, EPA MPG ratings, type of drivetrain, and transmission characteristics are provided. The country of origin for the car manufacturer is also given.

Usage

gtcars

Format

A tibble with 47 rows and 15 variables:

mfr

The name of the car manufacturer.

model

The car's model name.

year

The car's model year.

trim

A short description of the car model's trim.

bdy_style

An identifier of the car's body style, which is either "coupe", "convertible", "sedan", or "hatchback".

hp, hp_rpm

The car's horsepower and the associated RPM level.

trq, trq_rpm

The car's torque and the associated RPM level.

mpg_c, mpg_h

The miles per gallon fuel efficiency rating for city and highway driving.

drivetrain

The car's drivetrain which, for this dataset, is either "rwd" (Rear Wheel Drive) or "awd" (All Wheel Drive).

trsmn

An encoding of the transmission type, where the number part is the number of gears. The car could have automatic transmission ("a"), manual transmission ("m"), an option to switch between both types ("am"), or, direct drive ("dd")

ctry_origin

The country name for where the vehicle manufacturer is headquartered.

msrp

Manufacturer's suggested retail price in U.S. dollars (USD).

Details

All of the gtcars have something else in common (aside from the high asking prices): they are all grand tourer vehicles. These are proper GT cars that blend pure driving thrills with a level of comfort that is more expected from a fine limousine (e.g., a Rolls-Royce Phantom EWB). You'll find that, with these cars, comfort is emphasized over all-out performance. Nevertheless, the driving experience should also mean motoring at speed, doing so in style and safety.

Examples

Here is a glimpse at the data available in gtcars.

dplyr::glimpse(gtcars)
#> Rows: 47
#> Columns: 15
#> $ mfr         <chr> "Ford", "Ferrari", "Ferrari", "Ferrari", "Ferrari", "Ferra~
#> $ model       <chr> "GT", "458 Speciale", "458 Spider", "458 Italia", "488 GTB~
#> $ year        <dbl> 2017, 2015, 2015, 2014, 2016, 2015, 2017, 2015, 2015, 2015~
#> $ trim        <chr> "Base Coupe", "Base Coupe", "Base", "Base Coupe", "Base Co~
#> $ bdy_style   <chr> "coupe", "coupe", "convertible", "coupe", "coupe", "conver~
#> $ hp          <dbl> 647, 597, 562, 562, 661, 553, 680, 652, 731, 949, 573, 545~
#> $ hp_rpm      <dbl> 6250, 9000, 9000, 9000, 8000, 7500, 8250, 8000, 8250, 9000~
#> $ trq         <dbl> 550, 398, 398, 398, 561, 557, 514, 504, 509, 664, 476, 436~
#> $ trq_rpm     <dbl> 5900, 6000, 6000, 6000, 3000, 4750, 5750, 6000, 6000, 6750~
#> $ mpg_c       <dbl> 11, 13, 13, 13, 15, 16, 12, 11, 11, 12, 21, 16, 11, 16, 12~
#> $ mpg_h       <dbl> 18, 17, 17, 17, 22, 23, 17, 16, 16, 16, 22, 22, 18, 20, 20~
#> $ drivetrain  <chr> "rwd", "rwd", "rwd", "rwd", "rwd", "rwd", "awd", "awd", "r~
#> $ trsmn       <chr> "7a", "7a", "7a", "7a", "7a", "7a", "7a", "7a", "7a", "7a"~
#> $ ctry_origin <chr> "United States", "Italy", "Italy", "Italy", "Italy", "Ital~
#> $ msrp        <dbl> 447000, 291744, 263553, 233509, 245400, 198973, 298000, 29~

Dataset ID and Badge

DATA-3

Dataset Introduced

v0.2.0.5 (March 31, 2020)

See Also

Other datasets: constants, countrypops, exibble, films, gibraltar, illness, metro, nuclides, peeps, photolysis, pizzaplace, reactions, rx_addv, rx_adsl, sp500, sza, towny

gt documentation built on Sept. 11, 2024, 5:15 p.m.