Auto Data

Contents

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'],
      dtype='object')

Auto.shape

(392, 8)

Auto.columns

Index(['mpg', 'cylinders', 'displacement', 'horsepower', 'weight',
       'acceleration', 'year', 'origin'],
      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
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