| Data Set/Description |
Owner |
Last edited |
Size |
Views |
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 | 3982 |
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 | 6412 |
Roller Coasters Data
This dataset looks at some of the roller coasters across the US and various other countries.
| Column | Description | | Name | Name of roller coaster | | Park | Amusement park for roller coaster | | City | City for amusement park | | State | State abbreviation | | Country | Country of the roller coaster. US: United States, MX: Mexico, CR: Costa Rica, GT: Guatemala, CO: Columbia, VE: Venezuela, BR: Brazil, AR: Argentina, CL: Chile, EQ: Ecuador, PE: Peru, F: France, D: Germany | | Type | S: Steel, W: Wood | | Constructor | Type of build for the roller coaster | | Height | Height in meters | | Speed | Speed in kilometers per hour (km/h) | | Length | Length in meters | | Inversions | Yes if there are inversions, no if not | | Duration | Duration of ride in seconds | | GForce | Max g-force | | Opened | Year it opened | | Region | Geographic region for the roller coaster |
| statcrunch_featured | Apr 3, 2017 | 48KB | 5399 |
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 | 1330 |
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 | 1706 |
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 | 2067 |
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 | 2154 |
Skyscrapers in the U.S.
Data for buildings in the United States that are 100 meters tall or higher. The variables include the rank in terms of height (Rank), the building name (Building), the height in meters (Height), the number of floors (Floors), the year of completion (Year), materials used in construction (Materials), and the use of the building (Use). The last two variables contain multiple outcomes delimited by /. When considering these columns, consider an outcomes table (Stat > Tables > Outcomes) with / as a delimiter. | websterwest | Jan 14, 2015 | 148KB | 2306 |
Mother and Daughter Heights.xls
This data set is Galton's Mother and Daughter data set as used in Sanfford Weisberg's Applied Linear Regression, 3rd Edition. | craig_slinkman | Apr 10, 2010 | 13KB | 6201 |
Egyptian Skulls
Description: Four measurements of male Egyptian skulls from 5 different time periods. Thirty skulls are measured from each time period.
Number of cases: 150
Variable Names:
MB: Maximal Breadth of Skull
BH: Basibregmatic Height of Skull
BL: Basialveolar Length of Skull
NH: Nasal Height of Skull
Year: Approximate Year of Skull Formation (negative = B.C., positive = A.D.)
| hassan.dayem | Nov 19, 2012 | 9KB | 2240 |
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 | 1117 |
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 | 3446 |
Responses to you and your mate survey
This data set contains responses to a survey ran on the StatCrunch site between October 2nd and October 22nd (2009). Respondents provided their height (in inches), their opinion of the ideal height of their mate (in inches) and their gender. This data set has removed ten extreme observations. | statcrunch | Sep 27, 2013 | 3KB | 1042 |
Survey: Your height and ideal height of mate
This data set contains responses to a StatCrunch survey. Respondents provided their height (in inches), their opinion of the ideal height of their mate (in inches) and their gender. This data set has removed ten extreme observations.
| statcrunchhelp | Apr 15, 2014 | 2KB | 1916 |
Height Data set
The height of 50 students is given. One can create a histogram and see the bimodal nature of the data. There is an interesting article that argues against human height being bimodal: http://faculty.washington.edu/tamre/IsHumanHeightBimodal.pdf
| smcdaniel04 | Jun 14, 2011 | 221B | 1757 |
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