Auto Data

Gas mileage, horsepower, and other information for 392 vehicles.

A data frame with 392 observations on the following 9 variables.

• mpg: miles per gallon

• cylinders: Number of cylinders between 4 and 8

• displacement: Engine displacement (cu. inches)

• horsepower: Engine horsepower

• weight: Vehicle weight (lbs.)

• acceleration: Time to accelerate from 0 to 60 mph (sec.)

• year: Model year (modulo 100)

• origin: Origin of car (1. American, 2. European, 3. Japanese)

• name: Vehicle name

Notes

This dataset was taken from the StatLib library which is maintained at Carnegie Mellon University. The dataset was used in the 1983 American Statistical Association Exposition. The original dataset has 397 observations, of which 5 have missing values for the variable horsepower. These rows are removed here. The original dataset is available at the book’s website.

from ISLP import load_data
Auto = load_data('Auto')
Auto.columns

Index(['mpg', 'cylinders', 'displacement', 'horsepower', 'weight',
       'acceleration', 'year', 'origin', 'name'],
      dtype='object')

Auto.shape

(392, 9)

Auto.columns

Index(['mpg', 'cylinders', 'displacement', 'horsepower', 'weight',
       'acceleration', 'year', 'origin', 'name'],
      dtype='object')

Auto.describe().iloc[:,:4]

	mpg	cylinders	displacement	horsepower
count	392.000000	392.000000	392.000000	392.000000
mean	23.445918	5.471939	194.411990	104.469388
std	7.805007	1.705783	104.644004	38.491160
min	9.000000	3.000000	68.000000	46.000000
25%	17.000000	4.000000	105.000000	75.000000
50%	22.750000	4.000000	151.000000	93.500000
75%	29.000000	8.000000	275.750000	126.000000
max	46.600000	8.000000	455.000000	230.000000