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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.
| jpribe | Feb 16, 2019 | 32KB | 114 |
FIFA World Cup Mens Players 2018
This data set records information for all 736 players for the 2018 FIFA World Cup. Included for each player is their national team (Team) along with their club team (Club). | statcrunch_featured | Aug 1, 2018 | 63KB | 2703 |
Super Heroes
This data set originally came from the following website:
https://www.kaggle.com/claudiodavi/superhero-set.
It contains various physical characteristics for over 700 fictional comic book super heroes. | statcrunch_featured | Aug 1, 2018 | 47KB | 5111 |
National Longitudinal Youth Survey: Weight Perception
The Youth survey consists of a nationally representative sample of youths who were 14 to 20 years old as of December 31, 1999.
This dataset tracks the Age, Height (in inches), Weight (in pounds), Gender, and the self reported "How would you describe your weight?" multiple choice answers for the individuals. | statcrunch_featured | Nov 10, 2017 | 330KB | 6829 |
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_featured | Apr 3, 2017 | 4KB | 6485 |
Running Speed
a study of how gender, age, and weight affect running speed | ans050 | Dec 3, 2018 | 551B | 576 |
NFL Player Data 2016
This file lists the 2,764 NFL players for all team rosters as of July 22, 2016. Information includes jersey number, name, position, age, height (in inches), weight (in lbs), years in the NFL, college they graduated from, NFL team, position grouping (OL, QB, tailback, TE, WR, Front 7, DB, special teams), side of the football (offensive, defense or special teams), and their experience level by years played. | ppoconno | Aug 27, 2018 | 220KB | 1978 |
National Longitudinal Youth Survey
The Youth survey consists of a nationally representative sample of youths who were 14 to 20 years old as of December 31, 1999.
This dataset tracks the Age, Height (in inches), Weight (in pounds), Gender, and the self reported "How would you describe your weight?" multiple choice answers for the individuals. | statcrunchhelp | Mar 8, 2016 | 330KB | 1759 |
Nfl draft combine results 1999-2013
The NFL Combine occurs once per year and is used to measure the physical characteristics of potential NFL draft picks.
The data covers 1999-2013.
Variables include college, position, height, weight, 40 yard dash time, etc.
| daniel.inghram | Feb 14, 2014 | 324KB | 2135 |
NFL Players 2016
This file lists the 2,764 NFL players for all team rosters as of July 22, 2016. Information includes jersey number, name, position, age, height (in inches), weight (in lbs), years in the NFL, college they graduated from, NFL team, position grouping (OL, QB, tailback, TE, WR, Front 7, DB, special teams), side of the football (offensive, defense or special teams), and their experience level by years played. | je175 | Jul 24, 2016 | 192KB | 2184 |
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. | jph422 | Sep 8, 2008 | 37KB | 4809 |
Obesity around the World
Age standardized estimates for obesity prevalence, overweight prevalence and mean BMI (Body Mass Index) for males and females from various countries. Obesity is defined by a BMI > 30 kg/m2. Overweight is defined by a BMI > 25 kg/m2. The estimates are for 2005. | websterwest | Aug 3, 2007 | 8KB | 2603 |
Celtics 2014-2015.csv
Pos -- Position
height -- Height
Wt -- Weight
Exp -- Years experience in NBA/ABA (prior to this season)
height.cat – categorical variable divided height into two categories
Exp.cat – categorical variable divided height into two categories
Rk -- Rank
Age -- Age of Player at the start of February 1st of that season.
G -- Games
GS -- Games Started
MP -- Minutes Played
Variables below are in two forms “_tot” (for total) and “_per.game” (for per game).
FG -- Field Goals
FGA -- Field Goal Attempts
FG% -- Field Goal Percentage
3P -- 3-Point Field Goals
3PA -- 3-Point Field Goal Attempts
3P% -- 3-Point Field Goal Percentage
2P -- 2-Point Field Goals
2PA -- 2-point Field Goal Attempts
2P% -- 2-Point Field Goal Percentage
eFG% -- Effective Field Goal Percentage
This statistic adjusts for the fact that a 3-point field goal is worth one more point than a 2-point field goal.
FT -- Free Throws
FTA -- Free Throw Attempts
FT% -- Free Throw Percentage
ORB -- Offensive Rebounds
DRB -- Defensive Rebounds
TRB -- Total Rebounds
AST -- Assists
STL -- Steals
BLK -- Blocks
TOV -- Turnovers
PF -- Personal Fouls
PTS -- Points
| swhardy | Jan 31, 2016 | 6KB | 1149 |
North Carolina premature births
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.
| statcrunchhelp | Apr 10, 2014 | 4KB | 2025 |
BODYMEAS.XLS
Random Sample of 100 observations from NHANES (which contains more observations). GENDER (1=Male, 2=Female), AGE (years), WEIGHTENG (inches), HEIGHTENG (inches), SIXFOOT (0=No, 1=Yes to being 72 inches or taller), LEGENG (Leg length inches), WAISTENG (Waist circumference inches), THIGHENG (Thigh circumference inches), WAIST28 (0=No, 1=Yes to having waist 28 inches or smaller), HEIGHT65 (0=No, 1=Yes to being 65 inches tall or shorter), BMI30 (0=No, 1=Yes to having Body Mass Index 30 or higher), OVER200 (0=No, 1=Yes to weighing 200 pounds or more). | jph422 | Sep 16, 2008 | 4KB | 3532 |
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