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Data Set/Description Share Owner Last edited Size Views
Major League Players Elected to Hall of Fame as Players
Includes 2017 inductees Jeff Bagwell, Tim Raines, and Ivan Rodriguez. 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.
yestreilandMay 28, 201734KB1988
MAT215 Survey Data Group 1
Data results from survey related to Vaccinations Survey was targeted to parents in the general population. Parents were asked How many children they had, the age of their youngest child, if they allow their child to receive vaccinations, and how they rated them from very beneficial to very harmful
yeskatrina.lay@uky.eduMay 27, 201712KB35
Responses to Jose Romero Class Group 2 Final Survey Results
Here is the final accumulation of results for the survey with Prof Romero's changes. I was able to consolidate our multiple choice for the last question to options A-H. I've included the questions to the survey along with the key to the final question below. The order of who collected which results remains the same. Jose Romero's Class Group 2 Final Survey Results Q1. How many total hours of sleep have you gotten in the past 3 days? Q2. Do you consume more than 3 caffeinated beverages per day? (please include coffee, caffeinated tea, soda and energy drinks) Q3. How old are you? ______ Q4. Have you experienced any of these anxiety-related symptoms in the past 3 days? A. Changed breath pattern B. Fast heartbeat C. Trouble concentrating D. Overthinking everything E. Fast heartbeat, overthinking everything F. Trouble concentrating, mind racing G. Changed breath pattern, fast heartbeat, trouble concentrating, overthinking everything H. None of the above
yesmstabell85@gmail.comMay 26, 20174KB15
2017 MLB Salaries and Contracts
2017 major league baseball salaries by team and position; includes contract years, total value of contract, and average annual salary of the contract.
yestreilandMay 17, 201756KB74
Unit 1; Exercise 5
The following data represent the number of times that a sample of residents in nursing homes who were aged 80 or older fell during a 12 month period.
yes-253908-1_blackboardht_splMay 10, 2017105B55
pageyeswl8282May 9, 201756KB28
Jealousy file.xlsx
Do men and women differ in jealousy about their romantic partners? Research by Buss, Larsen, Westen, and Semmelroth (Exp. 1, 1992) suggested that the answer is yes. In that study, heterosexual men and women in the United States imagined their romantic partners engaged in emotional or sexual affairs with another person, and then indicated which scenario would be more upsetting to them. Men reported being more distressed when imagining their partners involved in sexual infidelity, whereas women were more distressed when they imagined their partners involved in emotional infidelity. Buss et al. concluded that their findings supported their hypotheses, which were derived from evolutionary theory. Subsequent research either supported the Buss et al. (1992) findings or found limitations to their conclusions (Harris, 2003). For example, although Buss et al. used a forced-choice method in their study (e.g., “Which of these two scenarios is more upsetting?”), others have not found such clear sex differences when rating scales are used instead (DeSteno, Bartlett, Braverman, & Salvoes, 2002). In addition, cultural differences have also been found. For example, European and Asian men are more likely to choose emotional infidelity as worse, compared to American men (Harris, 2004). The purpose of this study was to see if (a) we would replicate the original Buss et al. (1992) findings using an Australian sample in 2015, and (b) whether asking participants to rate their feelings would reveal the same sex differences that were reported in the original work. We therefore had separate hypotheses regarding the differences between men and women with respect to emotional infidelity and sexual infidelity.
yese.vanman@psy.uq.edu.auMay 7, 20177KB367
OpenIntro MLB 2011
Data from all 30 Major League Baseball teams in 2011. Total runs, at bats, hits, homeruns, batting average, strikeouts, stolen bases, wins, on base proportion, slugging proportion (total bases divided by at bats), and on-base plus slugging proportion (on base proportion plus slugging proportion).
yeslmcmath34Apr 28, 20172KB70
Gender, Age, Year in College, Hours of Sleep, and GPAyeskayley_boucher@my.uri.eduApr 23, 20171KB693
Gender, Age, Year in College, Hours of Sleep, and GPAyeskayley_boucher@my.uri.eduApr 23, 20171KB147
bostonhousing.xlsx
A set of data describing crime, industry, and tax rates in different areas of Boston. Also lists variables such as age, access to highways, and the number of rooms in one dwelling.
yesej8139ih@metrostate.eduApr 19, 201734KB156
Most-Recent-Cohorts-All-Data-Elements_reduced.csv
Downloaded from US Dept of Education Website (https://catalog.data.gov/dataset/college-scorecard). File link is at: https://ed-public-download.apps.cloud.gov/downloads/Most-Recent-Cohorts-All-Data-Elements.csv Data dictionary at https://collegescorecard.ed.gov/assets/CollegeScorecardDataDictionary.xlsx on webpage https://collegescorecard.ed.gov/data/documentation/
yesserkuangApr 18, 20176MB135
Module 6: Age at Death and House Member Sizeyesmath.ralphApr 11, 20173KB481
Air Pollution Vs. Region Population and Number of Parks
Air pollution levels identified for each state in the United States measured in ug/m3. Additional information collected is the states residing region (Midwest, West, Northeast, Southeast, South Central), and the number of parks within each state. This data has also been summed up, and averages calculated.
yesjwesthouse7590@gmail.comApr 5, 20173KB296
Renewable energy consumption (% of total final energy consumption)
The amount of renewable energy used is expressed as a percentage of the total amount of all energy used. The data was collected from 84 countries divided into two groups: high income and low income. The high income countries: Aruba, Australia, Austria, the Bahamas, Barbados, Belgium,British Virgin Islands, Brunei Darussalam, Canada, Chile, Croatia, Cyprus, Czech Republic, Denmark, Estonia, France, Finland, French Polynesia, Germany, Greece, Hong Kong SR China, Hungary, Iceland, Ireland, Isreal, Italy, Japan, Korea, Latvia, Lithuania, Luxemburg, Macao, Malta, United Kingdom, Uraguay, United Arab Emirates, Malta, Monaca, Netherlands, New Caldonia, New Zealand, Norway, Poland, Portugal, Puerto Rico, Saudi Arabia, Seychelles, Singapore, Slovak Republic, Slovak Republic, Spain, Sweden, Switzerland, Trinidad and Tobago, Turks and Calcos Islands, United Kingdom, United States, Uruguay. The low income countries: Afghanistan, Benin, Burkina Faso, Burundi, Central African Republic, Chad, Comoros, Democratic Republic of the Congo, Eritrea, Ethiopia, Gambia, Guinea, Guinea-Bissau, Haiti, Korea, Dem. People’s Rep., Liberia, Zimbabwe, Madagascar, Malawi, Mali, Republic of Mozambique, Nepal, Niger, Rwanda, Senegal, Sierra Leone, Somalia, Tanzania, Togo, Uganda. The data was collected by OECD/IEA and World Bank to help further research for renewable energy. Spreading the use of renewable energy is important to combat fossil fuels to prevent environmental degradation
yesninoprieto4Apr 5, 2017413B197

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