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Data Set/Description Owner Last edited Size Views
Christmas tree sales: Real vs. Fake 2004-2016
This data set contains the number of real and fake Christmas trees sold in the US between 2004 and 2016.
statcrunch_featuredNov 13, 2018398B3280
US Workforce Participation
This data primarily comes from two sources: Federal Reserve Bank of St. Louis and the US Bureau of Labor Statistics .
YearThe calendar year for each value
Annual Average Workforce ParticipationDefined 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 RateAnnual workforce participation rate for males.
Female Workforce Participation RateAnnual workforce participation rate for females.
Male Inactivity Rate Aged 25-54Defined 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 25-54Defined 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 ControlPolitical party of president.
Senate ControlPolitical party of the Senate majority
House ControlPolitical party of the House of Representatives majority.
Legislative Branch (House and Senate)Combined control of Senate and House of Representativs
statcrunch_featuredJun 27, 201710KB2848
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.

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, 2016254KB3981
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, 2017196KB3942
Responses to Facebook Survey
A recent survey asked respondents if they have a Facebook account, the average number of times a day they look at Facebook, the average number of times a week they change their status, their age, if they are a student, and their gender.

Check out the original survey here:

Feel free to copy it for your own use

scsurveyMar 4, 20118KB2622
Responses to the Social Networking Survey
This data set provides the results from a social networking survey administered on the StatCrunch site between February 6th, 2009 and February 16th, 2009. Respondents were asked to provide the primary site they used for social networking and the number of times they accessed this site each week in addition to their age and gender.
websterwestFeb 16, 20095KB2119
NY Times: The Most Economically Diverse Top Colleges
To measure top colleges efforts on economic diversity, The Upshot calculated a College Access Index, based on the percentage of freshmen in recent years who came from low-income families (measured by the share receiving a Pell grant) and on the net price of attendance for low- and middle-income families. The recent Pell (2012 - 2014) number for each college is the average percentage of the freshman class that received a Pell grant in 2011-12, 2012-13 and 2013-14; not all colleges had 2013 data yet. The earlier Pell (2008) value is for the fall of 2007. Average net price is the average total cost of attendance in 2012-13, including tuition, fees, room and board, after taking into account federal, state and institutional financial aid, for students who come from households earning between $30,000 and $48,000 a year and qualifying for federal aid. Endowment per student is for the year 2011-12 and includes graduate students. The College Access Index is a combination of net price and the Pell average for 2011, 2012 and 2013, using a statistical technique known as a z-score. A college with an average score on the two measures in combination will receive a zero.
statcrunchhelpSep 10, 20144KB1322
For what survey produced it, see and inputs of all team mates. Towards the end, some validation was done, deleting data where working hours was less than a work day, or outliers to legally admissible work days. Finally arbitarily long chains which were less likely to be encountered in draws of simulated data (M/F, Degrees etc.. were discarded). A total of 12 observations were thus thrown out. All Credit goes to Team 3,the Instructor, our unnamed Friends in the Nursing profession who enthusiastically did a last minute push through over their extended social media groups for data and the respondents who kindly took out time for the survey. Another thought is about the distribution of hours worked. Wven if random, it "should be" "centered on" certain hours a day* number of days, with deviations from centre penalised, while picking a sample.. The observations 38 appear many times for example, however without an explainable reason (we are talking of work-distribution among nursing staff sample) So do "primes" "47, 37, 29" It is not to argue that they "shouldn't occur", but there has to be some reason for their being so significant/vibrant. At this stage we may conclude that most of the respondents may not have been under full-time nursing employments in strict sense of the term. 42, 48,72,60, 50,40 appearing more often would give us less variation but more regularity in the data. Since we haven't tried stratification, we do not know "how often they should occur". We thus do not re-draw observations.
ugoagwuJun 14, 20142KB1051
Diamond Ring Prices.xls
The source of the data is a full page advertisement placed in the Straits Times newspaper issue of February 29, 1992, by a Singapore-based retailer of diamond jewelry. The advertisement contained pictures of diamond rings and listed their prices, diamond content, and gold purity. Only 20K ladies' rings, each mounted with a single diamond stone, were considered for this study. 20K rings are made with gold of 20 carat purity. (Pure gold is rated as 24K.) There were 48 such rings of varying designs. The weights of the diamond stones ranged from 0.12 to 0.35 carats (a one carat diamond stone weighs 0.2 gram) and were priced between $223 and $1086. The jewelry store adopted a fixed-price policy. How Is Jewelry Priced? In Singapore, the pricing of gold jewelry is simple. The price equals the current market value of the gold content (i.e., weight times the going rate per gram of gold) plus a craftsmanship fee. However, the pricing of other jewelry like diamond rings is more complicated because they are not as standardized as gold jewelry. The price of diamond jewelry depends on the four C's: caratage, cut, colour, and clarity of the diamond stone. A good cut gives a diamond more sparkle. Colourless diamonds are the most prized. A flawless diamond has maximum clarity because the passage of light is unimpeded through the stone. Cut, colour, and clarity are subjective factors and are very hard for the layman to gauge.
craig_slinkmanApr 22, 2010586B2684
Social Media users: gender, age, media app
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).
bani15696Mar 31, 2018137KB2587
Text Messaging
This is a set of data from the 2007-2008 AP Stats students at Rancho Cucamonga High School regarding their text messaging skills and habits. A survey was filled out. A template for measuring thumb lengths was provided. Times were recorded for 2 sentences: A: Statistics students are above average. B: Meet me at my car after school today. A complete curriculum module using this survey can be found on AP Central:
mrmathman1Jul 1, 200920KB3029
1st: helium football
Datafile Name: Helium football Datafile Subjects: Sports Story Names: Helium football Reference: Lafferty, M. B. (1993), "OSU scientists get a kick out of sports controversy, "The Columbus Dispatch (November, 21, 1993), B7. Authorization: Contact authors Description: Two identical footballs, one air-filled and one helium-filled, were used outdoors on a windless day at The Ohio State University's athletic complex. Each football was kicked 39 times and the two footballs were alternated with each kick. The experimenter recorded the distance traveled by each ball. Number of cases: 39 Variable Names: Trial: Trial Number Air: distance in yards for air-filled football Helium: distance in yards for helium-filled football
phil_larsonSep 13, 2012359B1052
Telephone Holding Times
An airline has a toll-free phone number that they use for reservations. Sometimes callers have to be placed on hold. The airline conducted a randomized experiment to determine if there was a significant difference in how long a caller would remain on hold depending on what is playing on the call. The airline randomly selected one out of every 1000 calls to be placed on hold with either a advertisement of current promotions, with muzak playing (elevator music), or with classical music playing. Total, 15 callers were sampled for this study. Each column is the number of minutes that the random caller remained on the line until they hung up for each type of recorded message. This data set comes from "Statistics: The Art and Science of Learning from Data" by Alan Agresti and Christine Franklin.
statcrunchhelpSep 17, 201485B1679
Wait Times at Disney
Disney World Ride Wait Time Datasets,, Sept 2018 Wait Time (in minutes) for Pirates of the Caribbean and Splash Mountain from Jan 2012 thru Aug 2018
msullivan13803Sep 7, 201868KB1095
Project Data
This data encompasses the results of surveying 50 of my women friends, who exercise regularly, in order to determine the average resting heart-rate of females who exercise regularly. I define exercising "regularly" as doing a set aside workout of at least 20 minutes, at least 4 times a week. For my research I stayed within an age group range of females ages 18-22 years old.
jjindrich0127Jul 15, 20101KB2071

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