Dataset. 17.0 75 2 "peugeot 504", 22.0 4 121.0 98.00 2945. miles per gallon. arrow_back. 15.5 71 1 "amc matador", 14.0 8 350.0 165.0 4209. 11.3 79 1 "chevrolet citation", 26.8 6 173.0 115.0 2700. 19.2 80 3 "datsun 210", 44.3 4 90.00 48.00 2085. 19.6 81 2 "volvo diesel", 25.4 6 168.0 116.0 2900. Privacy 16.6 81 1 "chrysler lebaron salon", 28.0 4 112.0 88.00 2605. 15.1 78 1 "amc concord d/l", 19.2 8 305.0 145.0 3425. 14.4 79 1 "dodge colt hatchback custom", 27.4 4 121.0 80.00 2670. 17.0 80 3 "honda accord", 27.2 4 135.0 84.00 2490. 398 lines (398 sloc) 29.6 KB Raw Blame History. 12.5 72 1 "chrysler newport royal", 19.0 3 70.00 97.00 2330. inches) horsepower 1. An Introduction To Statistical Learning with Applications in R (ISLR Sixth Printing) Ym Xue. 17.8 76 1 "amc pacer d/l", 29.5 4 97.00 71.00 1825. 17.0 75 1 "amc pacer", 23.0 4 115.0 95.00 2694. Show your appreciation with an upvote. Datasets ## install.packages("ISLR") library (ISLR) head (Auto) ## mpg cylinders displacement horsepower weight acceleration year origin ## 1 18 8 307 130 3504 12.0 70 1 ## 2 15 8 350 165 3693 11.5 70 1 ## 3 18 8 318 150 3436 11.0 70 1 ## 4 16 8 304 150 3433 12.0 70 1 ## 5 17 8 302 140 3449 10.5 70 1 ## 6 15 8 429 198 4341 10.0 70 1 ## name ## 1 chevrolet chevelle malibu ## 2 buick … 14.0 76 1 "dodge d100", 31.5 4 98.00 68.00 2045. 14.0 73 1 "chevrolet impala", 12.0 8 400.0 167.0 4906. 18. 11.0 73 1 "dodge dart custom", 24.0 4 121.0 110.0 2660. 14.0 74 2 "fiat 124 tc", 24.0 4 120.0 97.00 2489. 14.5 75 2 "volvo 244dl", 25.0 4 121.0 115.0 2671. 16.4 77 1 "chevrolet concours", 20.5 6 231.0 105.0 3425. This Notebook has been released under the Apache 2.0 open source license. European, 3. Below are the packages and libraries that we will need to load to complete this tutorial. All in all, we create one-hundred fits, each fit and tested on a random, one-half sample of the data. 12.5 70 2 "bmw 2002", 21.0 6 199.0 90.00 2648. 44. 13.2 79 1 "plymouth horizon", 34.5 4 105.0 70.00 2150. 17.0 74 1 "chevrolet vega", 16.0 6 250.0 100.0 3781. 14.5 82 3 "honda accord", 34.0 4 108.0 70.00 2245 16.9 82 3 "toyota corolla", 38.0 4 91.00 67.00 1965. mpg 1. miles per gallon cylinders 1. 14.0 73 1 "mercury capri v6", 26.0 4 98.00 90.00 2265. 13.0 73 1 "buick century 350", 14.0 8 304.0 150.0 3672. 16.0 74 1 "ford gran torino (sw)", 14.0 8 304.0 150.0 4257. 18.0 82 1 "chevrolet cavalier 2-door", 31.0 4 112.0 85.00 2575. 9.0 70 1 "chevrolet impala", 14.0 8 440.0 215.0 4312. More than 50 million people use GitHub to discover, fork, and contribute to over 100 million projects. HPA050811 Anti-ISLR antibody produced in rabbit Prestige Antibodies ® Powered by Atlas Antibodies, affinity isolated antibody, buffered aqueous glycerol solution : human: immunohistochemistry pricing You signed in with another tab or window. 12.5 72 1 "amc matador (sw)", 13.0 8 307.0 130.0 4098. 14.5 76 1 "chevrolet nova", 24.0 6 200.0 81.00 3012. 16.9 77 1 "buick skylark", 19.0 6 225.0 100.0 3630. The original dataset is available in the file "auto-mpg.data-original". 15.0 80 3 "datsun 510 hatchback", 32.2 4 108.0 75.00 2265. 19.5 72 1 "chevrolet vega", 21.0 4 122.0 86.00 2226. Did you find this Notebook useful? You can load the data set by the command > df = ISLR:: Auto In case you do not have installed the ISLR package use the following line of code to do so > install.packages ("ISLR") We model the gas usage mpg (miles per gallon) by a simple linear regression model depending on the horsepower of the car. 22.2 76 1 "chevrolet chevette", 24.5 4 98.00 60.00 2164. 1-24). 15.0 71 1 "pontiac firebird", 18.0 6 250.0 88.00 3139. 15.2 79 1 "dodge st. regis", 16.9 8 350.0 155.0 4360. Create a binary variable, mpg01, that contains a 1 if mpg contains a value above its median, and a 0 if mpg contains a value below its median. 17.5 70 2 "peugeot 504", 24.0 4 107.0 90.00 2430. ISLR: Data for an Introduction to Statistical Learning with Applications in R We provide the collection of data-sets used in the book 'An Introduction to Statistical Learning with Applications in R'. 16.5 74 3 "toyota corona", 32.0 4 83.00 61.00 2003. 17.3 80 2 "renault lecar deluxe", 33.8 4 97.00 67.00 2145. 16.5 75 2 "volkswagen dasher", 24.0 4 119.0 97.00 2545. 19.5 73 1 "chevrolet vega", 22.0 4 108.0 94.00 2379. Number of cylinders between 4 and 8 displacement 1. Japanese) name 1. 12.8 76 1 "ford gran torino", 22.0 6 225.0 100.0 3233. 17.7 76 1 "dodge aspen se", 18.0 6 250.0 78.00 3574. 16.7 78 1 "mercury zephyr", 18.6 6 225.0 110.0 3620. mpg. 0. READ PAPER. Instead of obtaining new independent datasets from the population, the bootstrap method obtains distinct datasets by repeatedly sampling observations from the original dataset. 16.9 76 2 "opel 1900", 25.0 4 140.0 92.00 2572. 17.9 80 3 "mazda glc", 27.9 4 156.0 105.0 2800. A collection of datasets of ML problem solving. mpg cylinders displacement horsepower weight acceleration year origin name, 18.0 8 307.0 130.0 3504. 17.0 72 1 "dodge colt hardtop", 23.0 4 97.00 54.00 2254. acceleration 1. 14.5 70 3 "datsun pl510", 26.0 4 97.00 46.00 1835. 12.9 79 1 "oldsmobile omega brougham", 33.5 4 151.0 90.00 2556. Percentile. Further details are in the FAQ. 16.0 70 1 "ford maverick", 27.0 4 97.00 88.00 2130. Auto Data Set. Gas mileage, horsepower, and other information for 392 vehicles. An Introduction To Statistical Learning with Applications in R (ISLR Sixth Printing) Download. 15.0 70 1 "amc gremlin", 10.0 8 360.0 215.0 4615. This paper. 15.0 75 1 "buick skyhawk", 20.0 8 262.0 110.0 3221. 15.9 78 2 "audi 5000", 17.0 6 163.0 125.0 3140. Code Input (8) Execution Info Log Comments (3) This Notebook has been released under the Apache 2.0 open source license. 12.5 73 1 "ford country", 13.0 8 360.0 170.0 4654. 16.0 77 1 "pontiac sunbird coupe", 26.0 4 97.00 75.00 2265. 17.6 76 1 "ford maverick", 22.5 6 232.0 90.00 3085. 13.5 75 2 "saab 99le", 33.0 4 91.00 53.00 1795. 12.5 73 1 "oldsmobile vista cruiser", 18.0 6 232.0 100.0 2789. We use cookies on Kaggle to deliver our services, analyze web traffic, and improve your experience on the site. 16.0 72 1 "ford gran torino (sw)", 14.0 8 318.0 150.0 4077. We will repeat the sampling process and fit linear regression models for polynomials from 1st to 10th degree. 15.5 70 1 "plymouth duster", 18.0 6 199.0 97.00 2774. 9.5 70 1 "chevrolet monte carlo", 14.0 8 455.0 225.0 3086. 14.5 73 1 "plymouth fury gran sedan", 13.0 8 440.0 215.0 4735. Origin of car (1. 16.7 76 2 "mercedes-benz 280s", 16.5 8 350.0 180.0 4380. 12.0 71 1 "pontiac safari (sw)", 18.0 6 258.0 110.0 2962. Find file Copy path Fetching contributors… Cannot retrieve contributors at this time. 12.0 71 1 "chevrolet impala", 14.0 8 400.0 175.0 4464. 14.8 78 3 "toyota celica gt liftback", 23.2 4 156.0 105.0 2745. Using the View function to view a compressed display of the structure of an arbitrary R object. 19.4 82 1 "chevy s-10". 18.5 75 1 "chevroelt chevelle malibu", 15.0 6 258.0 110.0 3730. 17.8 81 3 "subaru", 37.0 4 85.00 65.00 1975. 15.1 80 2 "triumph tr7 coupe", 23.6 4 140.0 ? Code. 9.50 73 1 "pontiac grand prix", 29.0 4 68.00 49.00 1867. Usage Auto Format A data frame with 392 observations on the following 9 variables. In this problem, you will develop a model to predict whether a given car gets high or low gas mileage based on the Auto dataset from the ISLR package.. 14.5 75 1 "ford pinto", 29.0 4 90.00 70.00 1937. 14.2 78 3 "toyota corona", 27.2 4 119.0 97.00 2300. This dataset is a slightly modified version of the dataset provided in the StatLib library. 14.0 72 1 "chevrolet chevelle concours (sw)", 13.0 8 302.0 140.0 4294. 15.0 79 1 "chevrolet malibu classic (sw)", 18.5 8 360.0 150.0 3940. 15.5 71 1 "chevrolet vega 2300", 25.0 4 113.0 95.00 2228. 16.0 75 1 "amc gremlin", 23.0 4 140.0 78.00 2592. You can compute the median using the median() function. 15.0 74 3 "honda civic", 26.0 4 108.0 93.00 2391. Number of cylinders between 4 … 16.4 81 1 "buick skylark", 25.8 4 156.0 92.00 2620. 14.9 81 1 "plymouth horizon 4", 34.4 4 98.00 65.00 2045. Download all datasets the ISLR R package with all datasets for the text. 19.0 77 1 "ford granada", 16.0 8 400.0 180.0 4220. 13.8 80 3 "honda civic 1500 gl", 40.9 4 85.00 ? 17.0 77 1 "chevrolet chevette", 33.5 4 98.00 83.00 2075. From ISLR v1.2 by Trevor Hastie. 16.7 78 1 "plymouth sapporo", 23.8 4 151.0 85.00 2855. 19.0 71 1 "ford pinto", 19.0 6 232.0 100.0 2634. 21.9 76 2 "peugeot 504", 19.0 6 156.0 108.0 2930. For example, assume that we have a dataset of 15 observations for the returns of A and B. mpg cylinders displacement horsepower weight acceleration year origin name 18.0 8 307.0 130.0 3504. 11.5 71 1 "dodge monaco (sw)", 13.0 8 400.0 170.0 4746. The variable origin is encoded as follows Value Origin 1 America 2 Europe 3 Japan What is the average difference in mpg for Japanese cars w.r.t. We consider the Auto dataset that comes with the ISLR package in R. Load the data set with the command > df = ISLR:: Auto If you do not have the ISLR package installed, please use this line to do so > install.packages ("ISLR") Construct a linear regression model for mpg (miles per gallon) depending on year and origin. 15.7 76 2 "volvo 245", 13.0 8 318.0 150.0 3940. Download Full PDF Package. These are my solutions and could be incorrect. 13.4 78 1 "buick regal sport coupe (turbo)", 18.1 8 302.0 139.0 3205. year 1. A short summary of this paper. 10.0 70 1 "pontiac catalina", 15.0 8 390.0 190.0 3850. 14.9 76 1 "capri ii", 26.0 4 98.00 79.00 2255. 19.2 78 1 "pontiac phoenix lj", 20.5 6 200.0 95.00 3155. cylinders. 12.5 80 3 "mazda rx-7 gs", 35.0 4 122.0 88.00 2500. 19.5 75 1 "ford maverick", 16.0 8 400.0 170.0 4668. 13.0 73 1 "ford ltd", 14.0 8 318.0 150.0 4237.