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Data Set/Description Owner Last edited Size Views
US Counties and Presidential Voting Dataset
Sampling Unit county 3141 observations and 19 variables, maximum # NAs:2956 Name county -- County state -- State msa -- Metropolitan Statistical Area pmsa -- Primary Metropolitan Statistical Area pop.density -- 1992 pop per 1990 miles^2 pop -- 1990 population pop.change -- Percent population change 1980-1992 age6574 -- Percent age 65-74, 1990 age75 -- Percent age >= 75, 1990 crime -- serious crimes per 100,000 1991 college -- Percent with bachelor's degree or higher of those age>=25 income -- median family income, 1989 dollars farm -- farm population, % of total, 1990 democrat -- Percent votes cast for democratic president republican -- Percent votes cast for republican president Perot -- Percent votes cast for Ross Perot white -- Percent white, 1990 black -- Percent black, 1990 turnout -- 1992 votes for president / 1990 pop x 100
craig_slinkmanApr 12, 2011755KB2205
Running Speed
a study of how gender, age, and weight affect running speed
ans050Dec 3, 2018551B884
The Unofficial 2014 NFL Player Census - S. Lohse
This data set is a shared data set owned by websterwest and last updated May 2015. It is being used for examples in my classroom. Original Description: This data set contains a number of variables on every NFL player participating in the 2014 season. Most of the variables should be self explanatory. Salary represents the average annual salary for the player under their existing contract. Exp represents years of experience. Pro Bowler represents the number of years the player was selected for the pro bowl. Champ provides the number of championship teams on which the player has played. Heisman represents whether or not the player won the Heisman trophy in college.
slohse9395Feb 11, 2019321KB211
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.
ppoconnoAug 27, 2018220KB2138
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, 2008450KB3142
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.
statcrunchhelpMar 8, 2016330KB1899
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.inghramFeb 14, 2014324KB2270
The Unofficial 2014 NFL Player Census
This data set contains a number of variables on every NFL player participating in the 2014 season. Most of the variables should be self explanatory. Salary represents the average annual salary for the player under their existing contract. Exp represents years of experience. Pro Bowler represents the number of years the player was selected for the pro bowl. Champ provides the number of championship teams on which the player has played. Heisman represents whether or not the player won the Heisman trophy in college.
websterwestMay 5, 2015321KB1942
Movie Budgets and Box Office Earnings (Updated Fall 2016)
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.

ntorno8Jun 30, 2017266KB5914
Times World University Rankings (2011-2016)
This data comes from the annual Times magazine rankings of universities across the world. The webpage for the Times 2016 rankings is listed above in the source.
The formula for the 2016 rankings is as follows:
30% for Teaching Rating
7.5% for International Outlook Rating
30% for Research Rating
30% for Citations Rating
2.5% for Industry Income Rating.
The “Total Score” from 2016 can be recreated using this formula.

ColumnDescription
World_RankUniversity rank for a given year
University_NameThe name of the university
CountryLocation of university
Teaching_Rating Rating from a 0-100 scale of the quality of teaching at the university. This rating is based on the institution’s reputation for teaching, it’s student/staff ratio, it’s PhD’s/ undergraduate degrees awarded ratio, and it’s institutional income/ academic staff ratio.
Inter_Outlook_Rating Rating from a 0-100 scale of the international makeup of a university. This rating is based the international student percentage, international staff percentage, and the percentage of research papers from the university that include at least one international author.
Research_Rating Rating from a 0-100 scale of quality of research at the university. This rating is based on the university’s reputation, it’s research income/ academic staff ratio, and it’s production of scholarly papers.
Citations_Rating Rating from a 0-100 scale of based on the normalized average of citations by other papers per paper from the university (how often the research from the university is cited by other papers).
Industry_Income_Rating Rating from a 0-100 scale grading how much companies are willing to invest in the universities research. The rating is calculated based on the research income from businesses per academic staff member.
Total_ScoreThe final score used to determine the university ranking based on Teaching_Rating, International_Outlook_Rating, Research_Rating, Citations_Rating, and Industrial_Income_Rating.
Num_StudentsTotal number of students in a given year
Student/Staff_RatioNumber of students per academic staff member
%_Inter_StudentsPercentage of student body who come from a foreign county
%_Female_Students Percentage of student body that is female.
YearAcademic year that the ranking was released. For example, 2016 denotes the 2015-2016 academic year.
statcrunchhelpApr 5, 2016254KB3906
All Texas Executions from 1982-2015
This data set records all executions in Texas from 1982-2015 and comes from the following website: Texas Executions. The data includes a variety of information about each execution including their last statement.
statcrunchhelpJan 7, 2016242KB2594
Responses to Social Media Survey
Respondents provided their most used social media application (Media App), how many minutes they spent on social media per day (Time spent), the number of times they visited social media per day (Visits per day), the number of posts they make per week (Posts per week), their gender (Gender), and their age (Age).
scsurveyOct 24, 2017196KB3525
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.
je175Jul 24, 2016192KB2223
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, 2017154KB1470
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.
websterwestJan 14, 2015148KB2490

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