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US Presidential Data
This data set gives information on the US Presidents from 1789-2019. The following data is included: College, Religion, Number of Children, Age at Inauguration, Year of Inauguration, Date at Death, Political Party, and Occupation

This data set was originally uploaded to StatCrunch via the khoffman2014 user.
statcrunch_featuredNov 13, 20193KB361
US Presidential Data
This data set gives information on the US Presidents from 1789-2019. The following data is included: College, Religion, Number of Children, Age at Inauguration, Year of Inauguration, Date at Death, Political Party, and Occupation
khoffman2014Sep 29, 20193KB354
IQ Comparison
The data is about the IQ's with respect to the various occupations,and GRE Scores. The data was collected from the IQ Comparison website.The IQ's range ( i.e Lower limit and Upper limit) for various occupation was given. The mean IQ for each of the occupation was taken and was tabulated. The IQ's with respect to the GRE scores was also tabulated.
patel.sunilNov 28, 2008664B1159
MTH 157 Project
Previous studies have shown that urban bus drivers have an extremely stressful job, and a large proportion of drivers retire prematurely with disabilities due to occupational stress. These stresses come from a combination of physical and social sources such as traffic congestion, incessant time pressure, and unruly passengers. In the paper, “Hassles on the Job: A Study of a Job Intervention with Urban Bus Drivers” (Journal of Organizational Behavior, Vol. 20, pp. 199 – 208), G. Evans et al. examined the effects of an intervention program to improve the conditions of urban bus drivers. Among other variables, the researchers monitored diastolic blood pressure of bus drivers in downtown Stockholm, Sweden. The data, in millimeters of mercury (mm Hg), are based on the blood pressures obtained prior to intervention for the 41 bus drivers in the study.
apr2575Dec 15, 2014150B803
Guatemalan Family Planning Data v2
BEST TO USE THIS VERSION BECAUSE SOME PROBLEMS HAVE BEEN FIXED. DO NOT CHOOSE age.cat - IT HAS TOO MANY CATEGORIES. This demographic and family planning data was collected by University of Maine at Farmington students in Comalapa, Guatemala in 2007 in partnership with Women’s International Network for Guatemalan Solutions (WINGS). WINGS is non-governmental organization whose mission is to create opportunities for Guatemalan families to improve their lives through family planning education and access to reproductive health services. Demographic data: gender, age.cat, civil.status, occ.place (occupation place), occ.type (occupation type), edu (education), religion, numchildren, pregtimes (pregnancy times – numeric), preg.times.cat (pregnancy times – categorical ),Amenities: car,television,phone,bicycle, Sexual Activity: firstsex (age of first sexual experience – numeric), firstsex.cat(age of first sexual experience – categorical) , everbeenpregnant, fagefirstpreg (age at first pregnancy, females only), mageatfirstchild (age at first child, males only), current.partner, Birth Control Method Awareness: awarebirthcontrol, awareCondoms, awareFemalesterilization, awareMalesterilization, awarePill, awareIUD, awareInjection, awareRhythm, agefirstlearn (age when first learned about birth control), Birth Control Information Obtained from: Healthpromoter, School, Media, Other.obtained (information obtained from another source), Birth Control Usage: everusedbirthcontrol, currusingbirthcontrol, Other Family Planning Data: comfortable (comfortable visiting family planning clinic) , delaying (opinion on delaying a first pregnancy) , spacing.pregnancies (opinion on spacing pregnancies), howlongwaitbetween (how long would they like to wait between pregnancies), limiting (opinion on limiting family size), howmanychildren (how many children would they like to have), pregplans12 (plan to become pregnant within the next 12 months).
swhardyMar 31, 201687KB452
Guatemala Family Planning Data
This demographic and family planning data was collected by University of Maine at Farmington students in Comalapa, Guatemala in 2007 in partnership with Women’s International Network for Guatemalan Solutions (WINGS). WINGS is non-governmental organization whose mission is to create opportunities for Guatemalan families to improve their lives through family planning education and access to reproductive health services. Demographic data: gender, age.cat, civil.status, occ.place (occupation place), occ.type (occupation type), edu (education), religion, numchildren, pregtimes (pregnancy times – numeric), preg.times.cat (pregnancy times – categorical ),Amenities: car,television,phone,bicycle, Sexual Activity: firstsex (age of first sexual experience – numeric), firstsex.cat(age of first sexual experience – categorical) , everbeenpregnant, fagefirstpreg (age at first pregnancy, females only), mageatfirstchild (age at first child, males only), current.partner, Birth Control Method Awareness: awarebirthcontrol, awareCondoms, awareFemalesterilization, awareMalesterilization, awarePill, awareIUD, awareInjection, awareRhythm, agefirstlearn (age when first learned about birth control), Birth Control Information Obtained from: Healthpromoter, School, Media, Other.obtained (information obtained from another source), Birth Control Usage: everusedbirthcontrol, currusingbirthcontrol, Other Family Planning Data: comfortable (comfortable visiting family planning clinic) , delaying (opinion on delaying a first pregnancy) , spacing.pregnancies (opinion on spacing pregnancies), howlongwaitbetween (how long would they like to wait between pregnancies), limiting (opinion on limiting family size), howmanychildren (how many children would they like to have), pregplans12 (plan to become pregnant within the next 12 months).
swhardyMar 9, 201692KB301
CPS wage data from 1985
These data consist of a random sample of 534 persons from the Current Population Survey, with information on wages and other characteristics of the workers. Source: Berndt, ER. The Practice of Econometrics. 1991. NY: Addison-Wesley.
ColumnDescription
EducationNumber of years of education
SouthIndicator variable for Southern Region: (1=Person lives in South, 0=Person lives elsewhere)
SexIndicator variable for sex (1=Female, 0=Male)
ExperienceNumber of years of work experience
UnionIndicator variable for union membership (1=Union member,0=Not union member)
Wage Wage in dollars per hour
AgeAge in years
RaceCategorical variable for race (1=Other, 2=Hispanic, 3=White)
OccupationCategorical variable for occupation (1=Management,2=Sales, 3=Clerical, 4=Service, 5=Professional, 6=Other)
SectorCategorical variable for sector (0=Other, 1=Manufacturing, 2=Construction)
MarrIndicator variable for marital status (0=Unmarried, 1=Married)
sampleuserMay 25, 200714KB1385
CPS wage data from 1985
These data consist of a random sample of 534 persons from the Current Population Survey, with information on wages and other characteristics of the workers. Source: Berndt, ER. The Practice of Econometrics. 1991. NY: Addison-Wesley.
ColumnDescription
EducationNumber of years of education
SouthIndicator variable for Southern Region: (1=Person lives in South, 0=Person lives elsewhere)
SexIndicator variable for sex (1=Female, 0=Male)
ExperienceNumber of years of work experience
UnionIndicator variable for union membership (1=Union member,0=Not union member)
Wage Wage in dollars per hour
AgeAge in years
RaceCategorical variable for race (1=Other, 2=Hispanic, 3=White)
OccupationCategorical variable for occupation (1=Management,2=Sales, 3=Clerical, 4=Service, 5=Professional, 6=Other)
SectorCategorical variable for sector (0=Other, 1=Manufacturing, 2=Construction)
MarrIndicator variable for marital status (0=Unmarried, 1=Married)
mystatcourseAug 10, 200815KB529
polution.xlsx
PREC Average annual precipitation in inches JANT Average January temperature in degrees F JULT Same for July OVR65 % of 1960 SMSA population aged 65 or older POPN Average household size EDUC Median school years completed by those over 22 HOUS % of housing units which are sound & with all facilities DENS Population per sq. mile in urbanized areas, 1960 WWDRK % employed in white collar occupations POOR % of families with income < $3000 HC Relative hydrocarbon pollution potential NOX Same for nitric oxides SO@ Same for sulphur dioxide HUMID Annual average % relative humidity at 1pm MORT Total age-adjusted mortality rate per 100,000
rhm52397Sep 9, 20126KB398
adult.data
age: continuous. workclass: Private, Self-emp-not-inc, Self-emp-inc, Federal-gov, Local-gov, State-gov, Without-pay, Never-worked. fnlwgt: continuous. education: Bachelors, Some-college, 11th, HS-grad, Prof-school, Assoc-acdm, Assoc-voc, 9th, 7th-8th, 12th, Masters, 1st-4th, 10th, Doctorate, 5th-6th, Preschool. education-num: continuous. marital-status: Married-civ-spouse, Divorced, Never-married, Separated, Widowed, Married-spouse-absent, Married-AF-spouse. occupation: Tech-support, Craft-repair, Other-service, Sales, Exec-managerial, Prof-specialty, Handlers-cleaners, Machine-op-inspct, Adm-clerical, Farming-fishing, Transport-moving, Priv-house-serv, Protective-serv, Armed-Forces. relationship: Wife, Own-child, Husband, Not-in-family, Other-relative, Unmarried. race: White, Asian-Pac-Islander, Amer-Indian-Eskimo, Other, Black. sex: Female, Male. capital-gain: continuous. capital-loss: continuous. hours-per-week: continuous. native-country: United-States, Cambodia, England, Puerto-Rico, Canada, Germany, Outlying-US(Guam-USVI-etc), India, Japan, Greece, South, China, Cuba, Iran, Honduras, Philippines, Italy, Poland, Jamaica, Vietnam, Mexico, Portugal, Ireland, France, Dominican-Republic, Laos, Ecuador, Taiwan, Haiti, Columbia, Hungary, Guatemala, Nicaragua, Scotland, Thailand, Yugoslavia, El-Salvador, Trinadad&Tobago, Peru, Hong, Holand-Netherlands.
33225049_ecollege_sacmlpMay 5, 20154MB146
adult.data
age: continuous. workclass: Private, Self-emp-not-inc, Self-emp-inc, Federal-gov, Local-gov, State-gov, Without-pay, Never-worked. fnlwgt: continuous. education: Bachelors, Some-college, 11th, HS-grad, Prof-school, Assoc-acdm, Assoc-voc, 9th, 7th-8th, 12th, Masters, 1st-4th, 10th, Doctorate, 5th-6th, Preschool. education-num: continuous. marital-status: Married-civ-spouse, Divorced, Never-married, Separated, Widowed, Married-spouse-absent, Married-AF-spouse. occupation: Tech-support, Craft-repair, Other-service, Sales, Exec-managerial, Prof-specialty, Handlers-cleaners, Machine-op-inspct, Adm-clerical, Farming-fishing, Transport-moving, Priv-house-serv, Protective-serv, Armed-Forces. relationship: Wife, Own-child, Husband, Not-in-family, Other-relative, Unmarried. race: White, Asian-Pac-Islander, Amer-Indian-Eskimo, Other, Black. sex: Female, Male. capital-gain: continuous. capital-loss: continuous. hours-per-week: continuous. native-country: United-States, Cambodia, England, Puerto-Rico, Canada, Germany, Outlying-US(Guam-USVI-etc), India, Japan, Greece, South, China, Cuba, Iran, Honduras, Philippines, Italy, Poland, Jamaica, Vietnam, Mexico, Portugal, Ireland, France, Dominican-Republic, Laos, Ecuador, Taiwan, Haiti, Columbia, Hungary, Guatemala, Nicaragua, Scotland, Thailand, Yugoslavia, El-Salvador, Trinadad&Tobago, Peru, Hong, Holand-Netherlands.
33225049_ecollege_sacmlpMay 5, 20154MB65
Lathrop Fireworks Related Injuries
Information on the estimated number of non-occupational, fireworks-related injuries that were treated in US hospital emergency departments by year.
matthew.lathropSep 1, 2016227B162
Donoho Fireworks Related Injuries
Information on the estimated number of non-occupational, fireworks-related injuries that were treated in US hospital emergency departments by year.
10185840_ecollege_heartccOct 10, 2018224B75
OECD Econ Dev
Reference: J. Singleman, From Agriculture to Services, Sage, 1978, p 11..
Authorization: free use
Description: Data are presented on the per capita income of 20 European OECD countries for 1960. Also presented are the percentages of the labor force employed in agriculture, industry, and services for each country
Number of cases: 20
Variable Names:
PCINC = Per capita income , 1960 ($)
AGR = Percent of labor force in agriculture, 1960
IND = Percent of labor force in industry, 1960
SER = Percent of labor force in service occupations, 1960
ds-12%scAug 11, 2008753B115
Exercise 4.48 Smoking
Occupational Mortality: The Registrar General's Decennial Supplement for England and Wales, 1970-1972, Her Majesty's Stationery Office, London, 1978.
bbeardAug 11, 2008246B39

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