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Data sets shared by StatCrunch members
Showing 1 to 15 of 295 data sets matching TWO
| Data Set/Description |
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Criminal Recidivism in Iowa: 2010-2014
Recidivism is defined as the "tendency of a convicted criminal to reoffend". This dataset tracks former criminals from Iowa over a 3 year period after their release from prison to see whether or not they were convicted of a new crime during that time. The recidivism reporting year is the fiscal year (year ending June 30) marking the end of the three year tracking period. Included are the following variables: Fiscal Year Released (the year the individual was released from Prison), the Race, Ethnicity, Sex, and Age of individual when released. Also included are details about the original crime committed along with whether that individual committed a new crime (Recidivism - Return to Prison) within the 3 year window. | statcrunch_featured | Mar 21, 2018 | 3MB | 2994 |
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_featured | Sep 12, 2017 | 919KB | 8357 |
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 | 6821 |
US Workforce Participation
This data primarily comes from two sources: Federal Reserve Bank of St. Louis and the US Bureau of Labor Statistics .
| Column | Description | | Year | The calendar year for each value | | Annual Average Workforce Participation | Defined by the Bureau of Labor Statistics as "the percentage of the population [16 years and older] that is either employed or unemployed (that is, either working or actively seeking work). Note that 2015's Annual Average is calculated using the first 11 months." | | Male Workforce Participation Rate | Annual workforce participation rate for males. | | Female Workforce Participation Rate | Annual workforce participation rate for females. | | Male Inactivity Rate Aged 25-54 | Defined as the proportion of the male population aged 25-54 that is not in the labour force. Common reasons for leaving labour force: college, retirement, stay at home, can't find work and no longer try. | | Change in Rate (Male Inactivity Rate Aged 25-54) | The change in the inactivity rate calculated as the current year minus the previous year. | | Female Inactivity Rate Aged 25-54 | Defined as the proportion of the female population aged 25-54 that is not in the labour force. | | Change in Rate (Female Inactivity Rate Aged 25-54) | The change in the inactivity rate calculated as the current year minus the previous year. | | Presidential Control | Political party of president. | | Senate Control | Political party of the Senate majority | | House Control | Political party of the House of Representatives majority. | | Legislative Branch (House and Senate) | Combined control of Senate and House of Representativs |
| statcrunch_featured | Jun 27, 2017 | 10KB | 2372 |
2014 MLB Top 100 Batters
This data came from ESPN.com and has the top 100 batters by WAR (wins above replacement).
AB: At bats
R: Runs
H: Hits
2B: Doubles
3B: Triples
RBI: Runs batted in
SB: Stolen Bases
BB: Walks
SO: Strikeouts
AVG: Batting average
OBP: On Base Percentage
SLG: Slugging Percentage
OPS: OBP + SLG
WAR: Wins Above Replacement | statcrunch_featured | Apr 3, 2017 | 9KB | 3100 |
Top 100 Retailers 2015
This dataset comes from the National Retail Federation and tracks the top retail chains in the US for 2015 based on their 2014 sales. The original data can be found at the webpage listed as the source. Note that these retailers include all sorts of avenues including internet sales. | statcrunch_featured | Nov 10, 2017 | 8KB | 3975 |
US States Population Change 2010
This data set comes from the 2010 US Census. The states are ranked by their total population on 2010. Percent change is calculated by taking the change in population (2010-2000) divided by the 2000 population.
This data set was pulled into StatCrunch using StatCrunchThis from http://en.wikipedia.org/wiki/2010_United_States_Census. | statcrunch_featured | Jan 2, 2018 | 2KB | 2873 |
All MLB Salaries (1985-2015)
This data has all MLB player salaries between 1985-2015 including the team played for, the city, and a unique ID for each player. Total this includes 25,575 salaries for 4,963 different baseball players.
The player ID is the first 5 letters from the last name, followed by the first two letters from the first name, followed by a number in case of duplicate names. For example, bondsba01 stands for Barry Bonds with "01" because he's the first with the "bondsba" name ID. | statcrunch_featured | Jun 27, 2017 | 1MB | 4621 |
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 | 5780 |
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 | 6481 |
Body Temperature
Data taken from the Journal of Statistics Education online data archive. That archive in turn got the data from an article in the Journal of the American Medical Association. (Mackowiak, et al., "A Critical Appraisal of 98.6 Degrees F …", vol. 268, pp. 1578-80, 1992).
"Body Temp" is measured in degrees fahrenheit
"Heart rate" is the resting beats per minute | statcrunch_featured | Jun 27, 2017 | 2KB | 12253 |
Trace the Poop Emoji
Students were given two copies of the Poop Emoji (immature, but still funny!). In random order, they traced the figure with both their dominant and non-dominant hand, with a partner recording the time for each. | mrmathman1 | Jan 30, 2019 | 3KB | 229 |
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 |
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 | 2369 |
Advanced NBA Statistics for 2013-2014 Season
N = 342; only players with at least 40 games played are included.
These are advanced metrics which attempt to evaluate, relatively speaking, how good an NBA basketball player was during the 2013-2014 (in which Kevin Durant won the MVP Award).
Variables..........Position -- what position did they play?..... Age -- How old was the player as of February 1, 2014?..... Team -- Obvious..... PER -- Player Efficiency Rating; a measure of per-minute production standardized such that the league average is 15.....
TS -- True Shooting Percentage; a measure of shooting effeciency that takes into account 2-point field goals, 3-point field goals, and free throws.....
ORB -- Offensive Rebound Percentage; an estimate of the percentage of available offensive rebounds a player grabbed while he was on the floor.....
DRB -- Defensive Rebound Percentage; an estimate of the percentage of available defensive rebounds a player grabbed while he was on the floor.....
TRB -- Total Rebound Percentage; an estimate of the percentage of available rebounds a player grabbed while he was on the floor.....
AST -- Assist Percentage; an estimate of the percentage of teammate field goals a player assisted while he was on the floor.....
STL -- Steal Percentage; an estimate of the percentage of opponent possessions that end with a steal by the player while he was on the floor.....
BLK -- Block Percentage; an estimate of the percentage of opponent two-point field goal attempts blocked by the player while he was on the floor.....
TOV -- Turnover Percentage; an estimate of turnovers per 100 plays.....
USG -- Usage Percentage; an estimate of the percentage of team plays used by a player while he was on the floor.....
ORtg -- Offensive Rating: An estimate of points produced (players) or scored (teams) per 100 possessions.....
DRtg -- Defensive Rating: An estimate of points allowed per 100 possessions.....
OWS -- Offensive Win Shares; an estimate of the number of wins contributed by a player due to his offense.....
DWS -- Defensive Win Shares; an estimate of the number of wins contributed by a player due to his defense.....
WS -- Win Shares; an estimate of the number of wins contributed by a player.
| daniel.inghram | May 22, 2014 | 33KB | 3731 |
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