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"name": "Used Cars Dataset",
"source": "https://www.kaggle.com/datasets/austinreese/craigslist-carstrucks-data/data",
"data_intro": "Craigslist is the world's largest collection of used vehicles for sale, yet it's very difficult to collect all of them in the same place. I built a scraper for a school project and expanded upon it later to create this dataset which includes every used vehicle entry within the United States on Craigslist. This data is scraped every few months, it contains most all relevant information that Craigslist provides on car sales including columns like price, condition, manufacturer, latitude/longitude, and 18 other categories. For ML projects, consider feature engineering on location columns such as long/lat. For previous listings, check older versions of the dataset.",
"is_splited": false,
"overall_size": 426880,
"train_size": 0,
"test_size": 0,
"c_classes": 19,
"n_classes": 7,
"cat_feature_intro": {
"url": "The URL of the Craigslist listing for the car.",
"region": "The geographic region where the vehicle is listed for sale.",
"region_url": "The URL for the region page on Craigslist where the car is listed.",
"manufacturer": "The brand or manufacturer of the vehicle, such as Toyota, Ford, etc.",
"model": "The specific model of the vehicle, e.g., Camry, F-150, etc.",
"condition": "The condition of the car (e.g., new, like new, used, or parts).",
"cylinders": "The number of cylinders in the vehicle's engine (e.g., 4, 6, 8 cylinders).",
"fuel": "The type of fuel the vehicle uses, such as gas, diesel, or electric.",
"title_status": "The status of the title of the vehicle (e.g., clean, salvage, rebuilt).",
"transmission": "The type of transmission (e.g., automatic, manual).",
"VIN": "The vehicle identification number, a unique code to identify the vehicle.",
"drive": "The type of drive system in the vehicle, such as all-wheel drive (AWD), front-wheel drive (FWD), or rear-wheel drive (RWD).",
"size": "The size of the vehicle, which could include categories like compact, midsize, or full-size.",
"type": "The type of vehicle (e.g., sedan, truck, SUV, etc.).",
"paint_color": "The color of the vehicle's exterior paint.",
"image_url": "A link to an image of the vehicle listing.",
"description": "A textual description of the vehicle, often written by the seller.",
"state": "The state in which the vehicle is located (e.g., California, New York).",
"posting_date": "The date the listing was posted on Craigslist."
},
"num_feature_intro": {
"id": "A unique identifier for each listing in the dataset.",
"price": "The asking price of the vehicle in US dollars.",
"year": "The year the vehicle was manufactured.",
"odometer": "The number of miles the vehicle has been driven, often used to assess the car's usage.",
"county": "The county in which the vehicle is located, providing further geographic information.",
"lat": "The latitude of the vehicle's location, useful for mapping and spatial analysis.",
"long": "The longitude of the vehicle's location, useful for mapping and spatial analysis."
},
"evaluation_metric": null,
"task_type": "classification",
"example": "https://www.kaggle.com/code/anasalshiekhbakri/used-cars-types-classification-simple-approach",
"target": "type",
"num_feature_value": {
"county": [],
"id": [
7207408119.0,
7317101084.0
],
"lat": [
-84.122245,
82.390818
],
"long": [
-159.827728,
173.885502
],
"odometer": [
0.0,
10000000.0
],
"price": [
0.0,
3736928711.0
],
"year": [
1900.0,
2022.0
]
},
"cat_feature_value": {
"VIN": "string",
"condition": [
"excellent",
"fair",
"good",
"like new",
"new",
"salvage"
],
"cylinders": [
"10 cylinders",
"12 cylinders",
"3 cylinders",
"4 cylinders",
"5 cylinders",
"6 cylinders",
"8 cylinders",
"other"
],
"description": "string",
"drive": [
"4wd",
"fwd",
"rwd"
],
"fuel": [
"diesel",
"electric",
"gas",
"hybrid",
"other"
],
"image_url": "string",
"manufacturer": [
"acura",
"alfa-romeo",
"aston-martin",
"audi",
"bmw",
"buick",
"cadillac",
"chevrolet",
"chrysler",
"datsun",
"dodge",
"ferrari",
"fiat",
"ford",
"gmc",
"harley-davidson",
"honda",
"hyundai",
"infiniti",
"jaguar",
"jeep",
"kia",
"land rover",
"lexus",
"lincoln",
"mazda",
"mercedes-benz",
"mercury",
"mini",
"mitsubishi",
"morgan",
"nissan",
"pontiac",
"porsche",
"ram",
"rover",
"saturn",
"subaru",
"tesla",
"toyota",
"volkswagen",
"volvo"
],
"model": "string",
"paint_color": [
"black",
"blue",
"brown",
"custom",
"green",
"grey",
"orange",
"purple",
"red",
"silver",
"white",
"yellow"
],
"posting_date": "string",
"region": [
"SF bay area",
"abilene",
"akron / canton",
"albany", "albuquerque",
"altoona-johnstown", "amarillo",
"ames",
"anchorage / mat-su",
"ann arbor",
"annapolis",
"appleton-oshkosh-FDL",
"asheville",
"ashtabula",
"athens",
"atlanta",
"auburn",
"augusta",
"austin",
"bakersfield",
"baltimore",
"baton rouge",
"battle creek",
"beaumont / port arthur",
"bellingham",
"bemidji",
"bend",
"billings",
"binghamton",
"birmingham",
"bismarck",
"bloomington",
"bloomington-normal",
"boise",
"boone",
"boston",
"boulder",
"bowling green",
"bozeman",
"brainerd",
"brownsville",
"brunswick",
"buffalo",
"butte",
"cape cod / islands",
"catskills",
"cedar rapids",
"central NJ",
"central louisiana",
"central michigan",
"champaign urbana",
"charleston",
"charlotte",
"charlottesville",
"chattanooga",
"chautauqua",
"chicago",
"chico",
"chillicothe",
"cincinnati",
"clarksville",
"cleveland",
"clovis / portales",
"college station",
"colorado springs",
"columbia",
"columbia / jeff city",
"columbus", "cookeville",
"corpus christi",
"corvallis/albany",
"cumberland valley",
"dallas / fort worth",
"danville",
"dayton / springfield",
"daytona beach", "decatur",
"deep east texas",
"del rio / eagle pass",
"delaware",
"denver",
"des moines",
"detroit metro",
"dothan",
"dubuque",
"duluth / superior",
"east idaho",
"east oregon",
"eastern CO",
"eastern CT",
"eastern NC",
"eastern kentucky",
"eastern montana",
"eastern panhandle",
"eastern shore",
"eau claire",
"el paso",
"elko",
"elmira-corning",
"erie",
"eugene",
"evansville",
"fairbanks",
"fargo / moorhead",
"farmington",
"fayetteville",
"finger lakes",
"flagstaff / sedona",
"flint",
"florence",
"florence / muscle shoals",
"florida keys",
"fort collins / north CO",
"fort dodge",
"fort smith",
"fort smith, AR",
"fort wayne",
"frederick",
"fredericksburg",
"fresno / madera",
"ft myers / SW florida",
"gadsden-anniston",
"gainesville",
"galveston",
"glens falls",
"gold country",
"grand forks",
"grand island",
"grand rapids",
"great falls",
"green bay",
"greensboro",
"greenville / upstate",
"gulfport / biloxi",
"hanford-corcoran",
"harrisburg",
"harrisonburg",
"hartford",
"hattiesburg",
"hawaii",
"heartland florida",
"helena",
"hickory / lenoir",
"high rockies",
"hilton head",
"holland",
"houma",
"houston",
"hudson valley",
"humboldt county",
"huntington-ashland",
"huntsville / decatur",
"imperial county",
"indianapolis",
"inland empire",
"iowa city",
"ithaca",
"jackson",
"jacksonville",
"janesville",
"jersey shore",
"jonesboro",
"joplin",
"kalamazoo",
"kalispell",
"kansas city",
"kansas city, MO",
"kenai peninsula",
"kennewick-pasco-richland",
"kenosha-racine",
"killeen / temple / ft hood",
"kirksville",
"klamath falls",
"knoxville",
"kokomo",
"la crosse",
"la salle co",
"lafayette",
"lafayette / west lafayette",
"lake charles",
"lake of the ozarks",
"lakeland",
"lancaster",
"lansing",
"laredo",
"las cruces",
"las vegas",
"lawrence",
"lawton",
"lehigh valley",
"lewiston / clarkston",
"lexington",
"lima / findlay",
"lincoln",
"little rock",
"logan",
"long island",
"los angeles",
"louisville",
"lubbock",
"lynchburg",
"macon / warner robins",
"madison",
"maine",
"manhattan",
"mankato",
"mansfield",
"mason city",
"mattoon-charleston",
"mcallen / edinburg",
"meadville",
"medford-ashland",
"memphis",
"mendocino county",
"merced",
"meridian",
"milwaukee",
"minneapolis / st paul",
"missoula",
"mobile",
"modesto",
"mohave county",
"monroe",
"monterey bay",
"montgomery",
"morgantown",
"moses lake",
"muncie / anderson",
"muskegon",
"myrtle beach",
"nashville",
"new hampshire",
"new haven",
"new orleans",
"new river valley",
"new york city",
"norfolk / hampton roads",
"north central FL",
"north dakota",
"north jersey",
"north mississippi",
"north platte",
"northeast SD",
"northern WI",
"northern michigan",
"northern panhandle",
"northwest CT",
"northwest GA",
"northwest KS",
"northwest OK",
"ocala",
"odessa / midland",
"ogden-clearfield",
"okaloosa / walton",
"oklahoma city",
"olympic peninsula",
"omaha / council bluffs",
"oneonta",
"orange county",
"oregon coast",
"orlando",
"outer banks",
"owensboro",
"palm springs",
"panama city",
"parkersburg-marietta",
"pensacola",
"peoria",
"philadelphia",
"phoenix",
"pierre / central SD",
"pittsburgh",
"plattsburgh-adirondacks",
"poconos",
"port huron",
"portland",
"potsdam-canton-massena",
"prescott",
"provo / orem",
"pueblo",
"pullman / moscow",
"quad cities, IA/IL",
"raleigh / durham / CH",
"rapid city / west SD",
"reading", "redding",
"reno / tahoe",
"rhode island",
"richmond",
"roanoke",
"rochester",
"rockford",
"roseburg",
"roswell / carlsbad",
"sacramento",
"saginaw-midland-baycity",
"salem",
"salina",
"salt lake city",
"san angelo",
"san antonio",
"san diego",
"san luis obispo",
"san marcos",
"sandusky",
"santa barbara",
"santa fe / taos",
"santa maria",
"sarasota-bradenton",
"savannah / hinesville",
"scottsbluff / panhandle",
"scranton / wilkes-barre",
"seattle-tacoma",
"sheboygan",
"show low",
"shreveport",
"sierra vista",
"sioux city",
"sioux falls / SE SD",
"siskiyou county",
"skagit / island / SJI",
"south bend / michiana",
"south coast",
"south dakota",
"south florida",
"south jersey",
"southeast IA",
"southeast KS",
"southeast alaska",
"southeast missouri",
"southern WV",
"southern illinois",
"southern maryland",
"southwest KS",
"southwest MN",
"southwest MS",
"southwest TX",
"southwest VA",
"southwest michigan",
"space coast",
"spokane / coeur d'alene",
"springfield",
"st augustine",
"st cloud",
"st george",
"st joseph",
"st louis",
"st louis, MO",
"state college",
"statesboro",
"stillwater",
"stockton",
"susanville",
"syracuse",
"tallahassee",
"tampa bay area",
"terre haute",
"texarkana",
"texoma",
"the thumb",
"toledo",
"topeka",
"treasure coast",
"tri-cities",
"tucson",
"tulsa",
"tuscaloosa",
"tuscarawas co",
"twin falls",
"twin tiers NY/PA",
"tyler / east TX",
"upper peninsula",
"utica-rome-oneida",
"valdosta",
"ventura county",
"vermont",
"victoria",
"visalia-tulare",
"waco",
"washington, DC",
"waterloo / cedar falls",
"watertown",
"wausau",
"wenatchee",
"west virginia (old)",
"western IL",
"western KY",
"western maryland",
"western massachusetts",
"western slope",
"wichita",
"wichita falls",
"williamsport",
"wilmington",
"winchester",
"winston-salem",
"worcester / central MA",
"wyoming",
"yakima",
"york",
"youngstown",
"yuba-sutter",
"yuma",
"zanesville / cambridge"
],
"region_url": "string",
"size": [
"compact",
"full-size",
"mid-size",
"sub-compact"
],
"state": [
"ak",
"al",
"ar",
"az",
"ca",
"co",
"ct",
"dc",
"de",
"fl",
"ga",
"hi",
"ia",
"id",
"il",
"in",
"ks",
"ky",
"la",
"ma",
"md",
"me",
"mi",
"mn",
"mo",
"ms",
"mt",
"nc",
"nd",
"ne",
"nh",
"nj",
"nm",
"nv",
"ny",
"oh",
"ok",
"or",
"pa",
"ri",
"sc",
"sd",
"tn",
"tx",
"ut",
"va",
"vt",
"wa",
"wi",
"wv",
"wy"
],
"title_status": [
"clean",
"lien",
"missing",
"parts only",
"rebuilt",
"salvage"
],
"transmission": [
"automatic",
"manual",
"other"
],
"type": [
"SUV",
"bus",
"convertible",
"coupe",
"hatchback",
"mini-van",
"offroad",
"other",
"pickup",
"sedan",
"truck",
"van",
"wagon"
],
"url": "string"
}
} |