Data Set/Description |
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Last edited |
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Movie Budgets and Box Office Earnings (Updated Spring 2018)
This data all comes from the following website the tracks the financial performance of movies:
http://www.the-numbers.com/movie/budgets/all
The “Budget”, “Domestic Gross”, and “Worldwide Gross” columns each are in millions of dollars. | statcrunch_featured | Oct 4, 2018 | 270KB | 10678 |
Shark Attacks Worldwide
This data comes from www.sharkattackfile.net. It records data on all shark attacks in recorded history including attacks before 1800. Included is all known information on the shark attack including the date, location, information on the individual who was attacked, details on the injuries sustained by the victim, and the species of the shark | statcrunch_featured | Jun 28, 2017 | 1MB | 9450 |
California Home Prices, 2009
This dataset is a collection of real estate listings from San Luis Obispo county, California, and some locations around it from 2009. The prices are their list price at the creation of this dataset. For more information about this data, go to the website source listed above. | statcrunch_featured | Apr 3, 2017 | 46KB | 6818 |
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 |
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 | 5779 |
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 |
SLR: alligator dimensions
p. 518 in Richard L Scheaffer, James T. McClave
Probability and Statistics for Engineers (4th ed.)
Belmont, California: Duxbury Press (1995)
Found originally in the Australian site.
Originally from the Florida Game and Freshwater Fish Commission but I can't find their source.
Length in inches?
Weight in lbs.? | phil_larson | Sep 13, 2012 | 174B | 1024 |
SLR: 400m dash
2012 Kirani James Winning time 43.94 Grenada | phil_larson | Nov 24, 2015 | 801B | 317 | X ACC Project Data
This data describes the resting heart rate of a group of women who exercise. | slriddle | Jan 27, 2014 | 1KB | 52 | slr | byrd2400 | Apr 19, 2010 | 189B | 67 |
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