| Data Set/Description |
Owner |
Last edited |
Size |
Views |
Major League Players Elected to Hall of Fame as Players
Includes 2019 BBWAA-elected inductees Mariano Rivera, Edgar Martinez, Roy Halladay, and Mike Mussina. 31 variables for each player. Team=primary team; BBWAA=Baseball Writers Association of America; Bat: R=right, L=left, B=both;
WAR=Wins Against Replacement: number of wins the player added to the team above what an "average" replacement player would add.
CS=caught stealing.
OPS=On-base Plus Slugging; as a rule of thumb, a "good" OPS is a value that when divided by 3 results in a value that would be considered a "good" batting average.
Other variables are hopefully self-explanatory. | treiland | Jan 25, 2019 | 37KB | 6284 |
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 | 2226 |
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 | 2631 |
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. | websterwest | May 5, 2015 | 321KB | 2203 |
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. | ntorno8 | Jun 30, 2017 | 266KB | 6439 |
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.
| Column | Description | | World_Rank | University rank for a given year |
| University_Name | The name of the university |
| Country | Location 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_Score | The final score used to determine the university ranking based on Teaching_Rating, International_Outlook_Rating, Research_Rating, Citations_Rating, and Industrial_Income_Rating. |
| Num_Students | Total number of students in a given year |
| Student/Staff_Ratio | Number of students per academic staff member |
| %_Inter_Students | Percentage of student body who come from a foreign county |
| %_Female_Students | Percentage of student body that is female. |
| Year | Academic year that the ranking was released. For example, 2016 denotes the 2015-2016 academic year. |
| statcrunchhelp | Apr 5, 2016 | 254KB | 4207 |
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.
| statcrunchhelp | Jan 7, 2016 | 242KB | 2993 |
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).
| scsurvey | Oct 24, 2017 | 196KB | 4899 |
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 | 2940 |
Rent in 100 cities
Rent for 2 bedroom apartment in 100 randomly selected cities | m.smith96 | Sep 16, 2019 | 455B | 383 |
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). | scsurvey | Jul 18, 2017 | 154KB | 1877 |
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 | 2822 |
Daily average temperatures for Houston and Raleigh over several years
Daily average temperatures are provided form January 1, 1995 to November 19, 2012. The daily average is calculated as the mean of 24 hourly readings. Values of -99 represent missing values. Which city is typically hotter? How well can you predict the average in one city using the average from the other? Should your predictions depend on the season? | websterwest | Dec 6, 2012 | 125KB | 1642 |
NFL Draft (2010-2014)
Includes year, round, pick number, team, player, position and player's college/conference. | websterwest | Oct 27, 2014 | 110KB | 1357 |
Flight Delay Data For July 2014
This data set contains information on the flight delays for each airline at each U.S. airport in July of 2014. The columns include the carrier, airport city/state, airport code, airport name, total number of flights (Flights), the number of delayed flights (Delayed), the number of cancelled flights (Cancelled), the number of diverted flights (Diverted), the number of on-time flights (On-time), and the on-time percentage (On-time Percentage). | websterwest | Oct 3, 2014 | 88KB | 1858 |
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