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Showing 1 to 15 of 973 data sets matching CAR
Data Set/Description Owner Last edited Size Views
Car Details 2019 Models
This data set contains info on the 2019 models of widely sold cars. MSRP stands for Manufacture Suggested Retail Price, and MPG stands for Miles Per Gallon.

This data set was originally uploaded to StatCrunch by the parasami user.
statcrunch_featuredNov 13, 201921KB596
Domestic Autos 2019 Models
Domestic Sample from featured data, "Car Details 2019 Models," gas engines only.
craigtisddaleNov 28, 20195KB88
Foreign Autos 2019 Models
Foreign 2019 model sample from featured data, "Car Details 2019 Models" for gas engines only.
craigtisddaleNov 28, 201914KB63
USA Car Accidents in 2011
This data set contains information for drivers/passengers involved in fatal 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, 2017919KB12743
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, 201888KB7535
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, 201711KB18712
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, 20174KB9156
Sample of n=200 from North Carolina Birth Data
Sample of 200 from the North Carolina Birth Data
aoneil1Oct 23, 20198KB257
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, 2016832KB2160
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, 2008450KB3694
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, 2017154KB1874
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, 201488KB1857
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, 200837KB5813
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, 200821KB2088
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, 201018KB3076

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