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Showing 1 to 15 of 897 data sets matching CAR
Data Set/Description Owner Last edited Size Views
J Pribe auto-mpg.xlsx
The data set covers 12 years of vehicles and contains 398 individual entries. The data describes popular consumer vehicle’s miles per gallon (MPG), the number of engine cylinders, total engine size (displacement), engine horsepower, the vehicle weight, a measure of acceleration (0-60 MPH time), the model year of the vehicle (1970-1982), a coded identifier for the place of origin, and the make and model of the vehicle. MPG, number of cylinders, engine size, horsepower, weight, acceleration time, and model year are all numerical values. The vehicle origin, full name, make, and model are categorical. This data was chosen to meet the assignment requirements, and because cars are cool. *Origin data code: 1=USA, 2=Europe, 3=Japan. The "car name" variable was broken into additional make and model variables to ease analysis, a change from the original data set.
jpribeFeb 16, 201932KB114
Oscar Winner Ages Males and Females for 90 years of the 91 years Oscar has been in existance
This is an updated list of all Oscar winning actresses and actors from the very first Oscar awarded (1927) to present (2017). As of today (02/11/18), the 2018 Oscars have not occurred. That is the reason that 2018 is not included in this comprehensive list.
elizabeth.flynnFeb 11, 20191KB199
USA Car Accidents in 2011
This data set contains information for drivers involved in car accidents in the United States during 2011. The variables include the age in years of the person (Age), the gender of the person (Gender), the month in which the accident occurred (Month), and the day of the week of the accident (DayOfWeek).
statcrunch_featuredSep 12, 2017919KB8368
Flight Delay Data For July 2014
This data set contains information on the flight delays for each airline at each U.S. airport in July of 2014. The columns include the carrier, airport city/state, airport code, airport name, total number of flights (Flights), the number of delayed flights (Delayed), the number of cancelled flights (Cancelled), the number of diverted flights (Diverted), the number of on-time flights (On-time), and the on-time percentage (On-time Percentage).
statcrunch_featuredJan 2, 201888KB5529
Nutritional Data for Fast Food 2017
The dataset was collected in January of 2017 by looking through online nutritional information provided by fast food restaurant chains. Nutrition data on various burgers, a breaded chicken sandwich, a grilled chicken sandwich, chicken nuggets, french fries, and a chocolate milkshake were collected for each restaurant (when applicable). For each chain the smallest hamburger, the smallest cheeseburger, and a variety of their most well known larger burgers were selected.
statcrunch_featuredSep 12, 201711KB13683
Cereal Brands
Data on several variable of different brands of cereal. Number of cases: 77 Variable Names: Name: Name of cereal mfr: Manufacturer of cereal where A = American Home Food Products; G = General Mills; K = Kelloggs; N = Nabisco; P = Post; Q = Quaker Oats; R = Ralston Purina type: cold or hot calories: calories per serving protein: grams of protein fat: grams of fat sodium: milligrams of sodium fiber: grams of dietary fiber carbo: grams of complex carbohydrates sugars: grams of sugars potass: milligrams of potassium vitamins: vitamins and minerals - 0, 25, or 100, indicating the typical percentage of FDA recommended shelf: display shelf (1, 2, or 3, counting from the floor) weight: weight in ounces of one serving cups: number of cups in one serving rating: a rating of the cereals
statcrunch_featuredApr 3, 20174KB6485
U.S. CBP Drug Seizure Statistics
This data set summarizes the POUNDS of drugs seized AT PORTS OF ENTRY and BETWEEN PORTS OF ENTRY. See below for information from the U.S. Customs and Border Protection agency. "U.S. Customs and Border Protection is the nation’s largest federal law enforcement agency charged with securing the nation’s borders and facilitating international travel and trade. Our top priority is to keep terrorists and their weapons from entering the United States. At the nation’s more than 300 ports of entry, CBP officers have a complex mission with broad law enforcement authorities tied to screening all foreign visitors, returning American citizens and imported cargo that enters the U.S. Along the nation’s borders, the United States Border Patrol and Air and Marine Operations are the uniformed law enforcement arms of CBP responsible for securing U.S. borders between ports of entry." These data and summary were obtained from: https://www.cbp.gov/newsroom/stats/cbp-enforcement-statistics
dlozimekJan 23, 20191KB163
USDA Nutrition Data
This dataset has the nutritional values per serving size for a large variety of foods as calculated by the USDA.

US Department of Agriculture, Agricultural Research Service, Nutrient Data Laboratory. USDA National Nutrient Database for Standard Reference, Release 28. Version Current: September 2015. Internet: http://www.ars.usda.gov/nea/bhnrc/ndl
statcrunchhelpJan 13, 2016832KB1654
Oscar nominations
The data set contains the year, category, nominee and whether they won for all academy award nominations from 1927 through 2006. A good exercise is to use StatCrunch to compute the number of nominations for each actress in the ACTRESS (all caps) category along with the first and last year they were nominated.
websterwestMar 10, 2008450KB2927
Wait Times at Disney
Disney World Ride Wait Time Datasets, TouringPlans.com, Sept 2018 https://touringplans.com/walt-disney-world/crowd-calendar#DataSets Wait Time (in minutes) for Pirates of the Caribbean and Splash Mountain from Jan 2012 thru Aug 2018
msullivan13803Sep 7, 201868KB932
Responses to Self-driving Cars
Respondents provided if they would be comfortable riding in a self-driving car (Comfortable), how many years it would take before self-driving cars were the majority on the road (When), if they expected accidents to increase, decrease, or stay the same when self-driving cars dominate the road (Crashes), their sex (Sex), and their age (Age).
scsurveyJul 18, 2017154KB1191
Flight Delay Data For July 2014
This data set contains information on the flight delays for each airline at each U.S. airport in July of 2014. The columns include the carrier, airport city/state, airport code, airport name, total number of flights (Flights), the number of delayed flights (Delayed), the number of cancelled flights (Cancelled), the number of diverted flights (Diverted), the number of on-time flights (On-time), and the on-time percentage (On-time Percentage).
websterwestOct 3, 201488KB1707
North Carolina birth data
A Random Sample of 1000 births from the state of North Carolina. Plurarility refers to the number of children associated with the birth. Gender 1=Male, 2=Female. fage is age of father (years), mage is age of mother (years), visits is number of pre-natal medical visits, marital is 1=married, 2=unmarried, racemom is Race of Mother (0=Other Non-white, 1=White, 2=Black 3=American Indian, 4=Chinese, 5=Japanese, 6=Hawaiian, 7=Filipino, 8=Other Asian or Pacific Islander), hispmom is whether mother is of Hispanic origin (C=Cuban, M=Mexican, N=Non-Hispanic, O=Other and Unknown Hispanic, P=Puerto Rican, S=Central/South American, U=Not Classifiable), gained is weight gain during pregnancy (pounds), lowbw is if birth weight is 2500 grams or lower, tpounds is birthweight in pounds, smoke is 0=no, 1=yes for mother admitted to smoking, mature is 0=no, 1-yes for mother is 35 or older, premie is 0=no, 1=yes to being born 36 weeks or sooner.
jph422Sep 8, 200837KB4809
Starting and mid-career salaries for colleges by type of college
Starting and mid career salaries for graduates from a large number of college. Please note that the type of college was determined by WSJ not by me.
websterwestAug 5, 200821KB1759
Incident Data for Traffic Tickets
These data are from a survey of traffic violations; participants could report on up to 4 incidents. Had Ticket: 0 = No, 1 = Yes; Tickets = Number of tickets received in life; Warnings = Number of warnings (i.e., pulled over but no ticket) in life; Age at incident; Reason for incident; How far over the speed limit the citation was for; Time# and Time both indicate time of day of incident; Road indicates where incident occurred; Utah = Whether incident occurred in Utah (0 = No, 1 = Yes); as well as the make, model, and category of the car.
qtpie1480Dec 2, 201018KB2798

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