Auto

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

datasets

We provide the collection of data-sets used in the book 'An Introduction to Statistical Learning with Applications in R, Second Edition'. These include many data-sets that we used in the first edition (some with minor changes), and some new datasets.

Trevor Hastie

ISLR2

Introduction to Statistical Learning, Second Edition

Gareth James

Daniela Witten

Rob Tibshirani

Balasubramanian Narasimhan

Auto function

A data frame with 392 observations on the following 9 variables.<dl>
 <dt><code>mpg</code></dt>
<dd>miles per gallon</dd> <dt><code>cylinders</code></dt>
<dd>Number of cylinders between 4 and 8</dd> <dt><code>displacement</code></dt>
<dd>Engine displacement (cu. inches)</dd> <dt><code>horsepower</code></dt>
<dd>Engine horsepower</dd> <dt><code>weight</code></dt>
<dd>Vehicle weight (lbs.)</dd> <dt><code>acceleration</code></dt>
<dd>Time to accelerate from 0 to 60 mph (sec.)</dd> <dt><code>year</code></dt>
<dd>Model year (modulo 100)</dd> <dt><code>origin</code></dt>
<dd>Origin of car (1. American, 2. European, 3. Japanese)</dd> <dt><code>name</code></dt>
<dd>Vehicle name</dd></dl>

Format

Auto Data Set — Auto

A data frame with 392 observations on the following 9 variables.<dl>
 <dt><code>mpg</code></dt>
<dd>miles per gallon</dd>

 <dt><code>cylinders</code></dt>
<dd>Number of cylinders between 4 and 8</dd>

 <dt><code>displacement</code></dt>
<dd>Engine displacement (cu. inches)</dd>

 <dt><code>horsepower</code></dt>
<dd>Engine horsepower</dd>

 <dt><code>weight</code></dt>
<dd>Vehicle weight (lbs.)</dd>

 <dt><code>acceleration</code></dt>
<dd>Time to accelerate from 0 to 60 mph (sec.)</dd>

 <dt><code>year</code></dt>
<dd>Model year (modulo 100)</dd>

 <dt><code>origin</code></dt>
<dd>Origin of car (1. American, 2. European, 3. Japanese)</dd>

 <dt><code>name</code></dt>
<dd>Vehicle name</dd>

</dl>

Auto: Auto Data Set

Description

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References

Examples