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.
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
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…