usdatasets: A Comprehensive Collection of U.S. Datasets

Description

This package provides a wide variety of datasets related to crime, economy, society, politics, and sports within the United States for testing, learning, and research purposes.

Details

usdatasets: A Comprehensive Collection of U.S. Datasets

A Comprehensive Collection of U.S. Datasets.

Author(s)

Maintainer: Renzo Cáceres Rossi arenzocaceresrossi@gmail.com

See Also

Useful links:

• https://github.com/lightbluetitan/usdatasets

Housing Values in Suburbs of Boston

Description

The dataset name has been changed to 'Boston_df' to avoid confusion with other packages in the R ecosystem from which datasets have been sourced. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and assists users in identifying its specific characteristics. The suffix '_df' identifies the dataset as a data frame. The original content of the dataset has not been modified in any way.

Usage

data(Boston_df)

Format

A data frame with 506 observations and 14 variables:

crim

Per capita crime rate by town.

zn

Proportion of residential land zoned for lots over 25,000 sq. ft.

indus

Proportion of non-retail business acres per town.

chas

Charles River dummy variable (1 if tract bounds river; 0 otherwise).

nox

Nitric oxides concentration (parts per 10 million).

rm

Average number of rooms per dwelling.

age

Proportion of owner-occupied units built prior to 1940.

dis

Weighted distances to five Boston employment centers.

rad

Index of accessibility to radial highways.

tax

Full-value property tax rate per $10,000.

ptratio

Pupil-teacher ratio by town.

black

1000(Bk - 0.63)^2 where Bk is the proportion of Black residents by town.

lstat

Percentage of lower status of the population.

medv

Median value of owner-occupied homes in $1000s.

Source

Boston Housing Data

Data from 93 Cars on Sale in the USA in 1993

Description

The dataset name has been changed to 'Cars93_df' to avoid confusion with other packages in the R ecosystem from which datasets have been sourced. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and assists users in identifying its specific characteristics. The suffix '_df' identifies the dataset as a data frame. The original content of the dataset has not been modified in any way.

Usage

data(Cars93_df)

Format

A data frame with 54 observations and 6 variables:

type

Type of the car (factor with 3 levels).

price

Price of the car (in US dollars).

mpg_city

Miles per gallon in the city.

drive_train

Drive train type (factor with 3 levels).

passengers

Number of passengers the car can accommodate.

weight

Weight of the car (in pounds).

Source

1993 Cars Data

Student Admissions at UC Berkeley

Description

The dataset name has been changed to 'UCBAdmissions_table' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a table object. The original content of the dataset has not been modified.

Usage

data(UCBAdmissions_table)

Format

A table object with 24 entries representing the admissions data at U.C. Berkeley:

Admit

A factor with levels "Admitted" and "Rejected".

Gender

A factor with levels "Male" and "Female".

Dept

A factor representing the department with levels "A", "B", "C", "D", "E", and "F".

values

Numeric counts of admissions based on gender and department.

Source

U.C. Berkeley admissions data from 1973.

Accidental Deaths in the US 1973-1978

Description

The dataset name has been changed to 'USAccDeaths_ts' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a time series object. The original content of the dataset has not been modified.

Usage

data(USAccDeaths_ts)

Format

A time series object with 72 observations representing monthly accidental deaths in the U.S. from 1973 to 1979:

years

A numeric vector representing the years from 1973 to 1979.

months

A character vector representing the months from January to December.

deaths

Numeric values representing the number of accidental deaths for each month.

Source

U.S. accidental deaths data.

Violent Crime Rates by US State

Description

The dataset name has been changed to 'USArrests_df' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a data frame. The original content of the dataset has not been modified.

Usage

data(USArrests_df)

Format

A data frame with 50 observations and 4 variables representing the rates of arrests in the U.S.:

Murder

Numeric vector representing the murder rates per 100,000 residents.

Assault

Integer vector representing the assault rates per 100,000 residents.

UrbanPop

Integer vector representing the percentage of the population living in urban areas.

Rape

Numeric vector representing the rape rates per 100,000 residents.

Source

U.S. arrests data from 1973.

Lawyers' Ratings of State Judges in the US Superior Court

Description

The dataset name has been changed to 'USJudgeRatings_df' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a data frame. The original content of the dataset has not been modified.

Usage

data(USJudgeRatings_df)

Format

A data frame with 43 observations and 12 variables representing ratings for U.S. judges:

CONT

Numeric vector representing the judges' ratings on control.

INTG

Numeric vector representing the judges' ratings on integrity.

DMNR

Numeric vector representing the judges' ratings on demeanor.

DILG

Numeric vector representing the judges' ratings on diligence.

CFMG

Numeric vector representing the judges' ratings on communications with clients.

DECI

Numeric vector representing the judges' ratings on decisiveness.

PREP

Numeric vector representing the judges' ratings on preparation.

FAMI

Numeric vector representing the judges' ratings on family law expertise.

ORAL

Numeric vector representing the judges' ratings on oral communications.

WRIT

Numeric vector representing the judges' ratings on written communications.

PHYS

Numeric vector representing the judges' ratings on physical appearance.

RTEN

Numeric vector representing the judges' ratings on overall rating.

Source

U.S. judge ratings data.

Personal Expenditure Data

Description

The dataset name has been changed to 'USPersonalExpenditure_matrix' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a matrix. The original content of the dataset has not been modified.

Usage

data(USPersonalExpenditure_matrix)

Format

A matrix with 5 rows and 5 columns representing U.S. personal expenditures in different categories over selected years:

Food and Tobacco

Numeric values representing expenditures on food and tobacco for the years 1940, 1945, 1950, 1955, and 1960.

Household Operation

Numeric values representing expenditures on household operations for the years 1940, 1945, 1950, 1955, and 1960.

Medical and Health

Numeric values representing expenditures on medical and health services for the years 1940, 1945, 1950, 1955, and 1960.

Personal Care

Numeric values representing expenditures on personal care for the years 1940, 1945, 1950, 1955, and 1960.

Private Education

Numeric values representing expenditures on private education for the years 1940, 1945, 1950, 1955, and 1960.

Source

U.S. personal expenditure data.

Distances Between European Cities and Between US Cities

Description

The dataset name has been changed to 'UScitiesD_dist' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a distance object. The original content of the dataset has not been modified.

Usage

data(UScitiesD_dist)

Format

A distance object containing the distances (in miles) between selected U.S. cities:

Atlanta

Distance from Atlanta to other cities.

Chicago

Distance from Chicago to other cities.

Denver

Distance from Denver to other cities.

Houston

Distance from Houston to other cities.

LosAngeles

Distance from Los Angeles to other cities.

Miami

Distance from Miami to other cities.

NewYork

Distance from New York to other cities.

SanFrancisco

Distance from San Francisco to other cities.

Seattle

Distance from Seattle to other cities.

Washington.DC

Distance from Washington D.C. to other cities.

Source

U.S. cities distance data.

Death Rates in Virginia (1940)

Description

The dataset name has been changed to 'VADeaths_matrix' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a matrix. The original content of the dataset has not been modified.

Usage

data(VADeaths_matrix)

Format

A matrix containing mortality rates (per 1000) for different demographic groups in Virginia:

Rural Male

Mortality rates for rural males by age group.

Rural Female

Mortality rates for rural females by age group.

Urban Male

Mortality rates for urban males by age group.

Urban Female

Mortality rates for urban females by age group.

Source

Virginia mortality data.

American Community Survey 2012

Description

The dataset name has been changed to 'acs12_tbl_df' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and assists users in identifying its specific characteristics. The suffix 'tbl_df' identifies the dataset as a tibble data frame, helping to differentiate it from other datasets within the package. The original content of the dataset has not been modified in any way.

Usage

data(acs12_tbl_df)

Format

A tibble with 2,000 observations and 13 variables:

income

Income of individuals (integer).

employment

Employment status (factor with 3 levels).

hrs_work

Number of hours worked per week (integer).

race

Race of individuals (factor with 4 levels).

age

Age of individuals (integer).

gender

Gender of individuals (factor with 2 levels: "male", "female").

citizen

Citizenship status (factor with 2 levels: "no", "yes").

time_to_work

Time taken to travel to work in minutes (integer).

lang

Primary language spoken at home (factor with 2 levels: "english", "other").

married

Marital status (factor with 2 levels: "no", "yes").

edu

Educational attainment (factor with 3 levels).

disability

Disability status (factor with 2 levels).

birth_qrtr

Birth quarter of individuals (factor with 4 levels).

Source

American Community Survey, 2012.

Age at first marriage of 5,534 US women.

Description

The dataset name has been changed to 'age_at_mar_tbl_df' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and assists users in identifying its specific characteristics. The suffix 'tbl_df' identifies the dataset as a tibble data frame, helping to differentiate it from other datasets within the package. The original content of the dataset has not been modified in any way.

Usage

data(age_at_mar_tbl_df)

Format

A tibble with 5,534 observations and 1 variable:

age

Age at first marriage (integer).

Source

United States Census Data.

Airline names - U.S. Airlines Carrier Codes and Names

Description

The dataset name has been changed to 'airlines_tbl_df' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and assists users in identifying its specific characteristics. The suffix 'tbl_df' identifies the dataset as a tibble, helping to differentiate it from other datasets within the package. The original content of the dataset has not been modified in any way.

Usage

data(airlines_tbl_df)

Format

A tibble with 16 observations and 2 variables:

carrier

Carrier code (character) representing the airline.

name

Name of the airline (character).

Source

U.S. Department of Transportation.

Airport metadata - U.S. Airports Information

Description

The dataset name has been changed to 'airports_tbl_df' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and assists users in identifying its specific characteristics. The suffix 'tbl_df' identifies the dataset as a tibble, helping to differentiate it from other datasets within the package. The original content of the dataset has not been modified in any way.

Usage

data(airports_tbl_df)

Format

A tibble with 1,458 observations and 8 variables:

faa

FAA airport code (character).

name

Name of the airport (character).

lat

Latitude of the airport (numeric).

lon

Longitude of the airport (numeric).

alt

Altitude of the airport (numeric).

tz

Time zone (numeric).

dst

Daylight saving time flag (character).

tzone

Time zone name (character).

Source

U.S. Federal Aviation Administration (FAA).

New York Air Quality Measurements

Description

The dataset name has been changed to 'airquality_df' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and assists users in identifying its specific characteristics. The suffix 'df' identifies the dataset as a data frame, helping to differentiate it from other datasets within the package. The original content of the dataset has not been modified in any way.

Usage

data(airquality_df)

Format

A data frame with 153 observations and 6 variables:

Ozone

Ozone concentration (parts per billion) from 1 to 331.

Solar.R

Solar radiation (watts per square meter).

Wind

Wind speed (miles per hour).

Temp

Temperature (degrees Fahrenheit).

Month

Month of the observation (integer from 5 to 9).

Day

Day of the observation (integer from 1 to 31).

Source

United States Environmental Protection Agency (EPA).

Housing prices in Ames, Iowa

Description

The dataset name has been changed to 'ames_tbl_df' to avoid confusion with other packages in the R ecosystem from which datasets have been sourced. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and assists users in identifying its specific characteristics. The suffix 'tbl_df' identifies the dataset as a tibble. The original content of the dataset has not been modified in any way.

Usage

data(ames_tbl_df)

Format

A tibble with 2,930 observations and 82 variables:

Order

Row number in the dataset.

PID

Parcel Identifier.

area

Total house area in square feet.

price

Sale price of the house.

MS.SubClass

Building class type.

MS.Zoning

Zoning classification of the property.

Lot.Frontage

Lot frontage length in feet.

Lot.Area

Total lot area in square feet.

Street

Street type access to the property.

Alley

Alley type access.

Lot.Shape

Shape of the lot.

Land.Contour

Land contour around the property.

Utilities

Availability of utilities.

Lot.Config

Lot configuration.

Land.Slope

Slope of the land.

Neighborhood

Neighborhood in Ames.

Condition.1

Proximity to main conditions like railroads.

Condition.2

Proximity to secondary conditions.

Bldg.Type

Type of building.

House.Style

Architectural style of the house.

Overall.Qual

Overall quality of the materials and finish.

Overall.Cond

Overall condition of the house.

Year.Built

Year the house was built.

Year.Remod.Add

Year of the last remodel or addition.

Roof.Style

Roof style.

Roof.Matl

Roof material.

Exterior.1st

Primary exterior material.

Exterior.2nd

Secondary exterior material.

Mas.Vnr.Type

Masonry veneer type.

Mas.Vnr.Area

Masonry veneer area in square feet.

Exter.Qual

Exterior material quality.

Exter.Cond

Condition of the exterior material.

Foundation

Type of foundation.

Bsmt.Qual

Basement quality.

Bsmt.Cond

Basement condition.

Bsmt.Exposure

Basement exposure to the outside.

BsmtFin.Type.1

Type 1 of finished basement.

BsmtFin.SF.1

Square feet of finished basement type 1.

BsmtFin.Type.2

Type 2 of finished basement.

BsmtFin.SF.2

Square feet of finished basement type 2.

Bsmt.Unf.SF

Unfinished basement area in square feet.

Total.Bsmt.SF

Total basement area in square feet.

Heating

Type of heating system.

Heating.QC

Heating system quality.

Central.Air

Presence of central air conditioning.

Electrical

Type of electrical system.

X1st.Flr.SF

First floor area in square feet.

X2nd.Flr.SF

Second floor area in square feet.

Low.Qual.Fin.SF

Low-quality finished area in square feet.

Bsmt.Full.Bath

Number of full bathrooms in the basement.

Bsmt.Half.Bath

Number of half bathrooms in the basement.

Full.Bath

Number of full bathrooms above ground.

Half.Bath

Number of half bathrooms above ground.

Bedroom.AbvGr

Number of bedrooms above ground.

Kitchen.AbvGr

Number of kitchens above ground.

Kitchen.Qual

Kitchen quality.

TotRms.AbvGrd

Total number of rooms above ground.

Functional

Functionality of the house.

Fireplaces

Number of fireplaces.

Fireplace.Qu

Fireplace quality.

Garage.Type

Type of garage.

Garage.Yr.Blt

Year the garage was built.

Garage.Finish

Garage finish type.

Garage.Cars

Number of cars the garage can accommodate.

Garage.Area

Garage area in square feet.

Garage.Qual

Garage quality.

Garage.Cond

Garage condition.

Paved.Drive

Indicates whether the driveway is paved.

Wood.Deck.SF

Wood deck area in square feet.

Open.Porch.SF

Open porch area in square feet.

Enclosed.Porch

Enclosed porch area in square feet.

X3Ssn.Porch

Three-season porch area in square feet.

Screen.Porch

Screened porch area in square feet.

Pool.Area

Pool area in square feet.

Pool.QC

Pool quality.

Fence

Type of fence.

Misc.Feature

Miscellaneous features of the property.

Misc.Val

Value of miscellaneous features.

Mo.Sold

Month the house was sold.

Yr.Sold

Year the house was sold.

Sale.Type

Type of sale.

Sale.Condition

Condition of the sale.

Source

Ames Housing Dataset, provided by Dean De Cock

US Births 2014

Description

The dataset name has been changed to 'births14_tbl_df' to avoid confusion with other packages in the R ecosystem from which datasets have been sourced. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and assists users in identifying its specific characteristics. The suffix 'tbl_df' identifies the dataset as a tibble. The original content of the dataset has not been modified in any way.

Usage

data(births14_tbl_df)

Format

A tibble with 1,000 observations and 13 variables:

fage

Age of the father (in years).

mage

Age of the mother (in years).

mature

Indicates if the mother is mature (yes/no).

weeks

Number of weeks of pregnancy.

premie

Indicates if the baby is a premature birth (yes/no).

visits

Number of prenatal visits.

gained

Weight gained by the mother during pregnancy (in pounds).

weight

Birth weight of the baby (in grams).

lowbirthweight

Indicates if the baby is of low birth weight (yes/no).

sex

Sex of the baby (male/female).

habit

Maternal smoking habits (yes/no).

marital

Marital status of the mother (married/single).

whitemom

Indicates if the mother is white (yes/no).

Source

National Vital Statistics Reports

North Carolina births, 100 cases

Description

The dataset name has been changed to 'births_tbl_df' to avoid confusion with other packages in the R ecosystem from which datasets have been sourced. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and assists users in identifying its specific characteristics. The suffix 'tbl_df' identifies the dataset as a tibble. The original content of the dataset has not been modified in any way.

Usage

data(births_tbl_df)

Format

A tibble with 150 observations and 9 variables:

f_age

Age of the father (in years).

m_age

Age of the mother (in years).

weeks

Number of weeks of pregnancy.

premature

Indicates if the baby is premature (factor: yes/no).

visits

Number of prenatal visits.

gained

Weight gained by the mother during pregnancy (in pounds).

weight

Birth weight of the baby (in grams).

sex_baby

Sex of the baby (factor: male/female).

smoke

Indicates if the mother smoked during pregnancy (factor: yes/no).

Source

National Vital Statistics Reports

Random sample of 2000 U.S. Census Data

Description

The dataset name has been changed to 'census_tbl_df' to avoid confusion with other packages in the R ecosystem from which datasets have been sourced. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and assists users in identifying its specific characteristics. The suffix 'tbl_df' identifies the dataset as a tibble. The original content of the dataset has not been modified in any way.

Usage

data(census_tbl_df)

Format

A tibble with 500 observations and 8 variables:

census_year

Year of the census (in integer).

state_fips_code

FIPS code for the state (factor with 47 levels).

total_family_income

Total family income (in US dollars).

age

Age of the individual (in years).

sex

Sex of the individual (factor: male/female).

race_general

General race category (factor with 8 levels).

marital_status

Marital status of the individual (factor with 6 levels).

total_personal_income

Total personal income (in US dollars).

Source

US Census Bureau

CIA Factbook Details on Countries

Description

The dataset name has been changed to 'cia_factbook_tbl_df' to avoid confusion with other packages in the R ecosystem from which datasets have been sourced. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and assists users in identifying its specific characteristics. The suffix 'tbl_df' identifies the dataset as a tibble. The original content of the dataset has not been modified in any way.

Usage

data(cia_factbook_tbl_df)

Format

A tibble with 259 observations and 11 variables:

country

Name of the country (factor with 259 levels).

area

Total area of the country (in square kilometers).

birth_rate

Birth rate (number of live births per 1,000 people).

death_rate

Death rate (number of deaths per 1,000 people).

infant_mortality_rate

Infant mortality rate (number of deaths of infants under one year old per 1,000 live births).

internet_users

Number of internet users (in millions).

life_exp_at_birth

Life expectancy at birth (in years).

maternal_mortality_rate

Maternal mortality rate (number of maternal deaths per 100,000 live births).

net_migration_rate

Net migration rate (number of migrants per 1,000 people).

population

Total population of the country.

population_growth_rate

Population growth rate (percentage).

Source

CIA World Factbook

Cleveland and Sacramento Demographic and Income Data (2000)

Description

The dataset name has been changed to 'cle_sac_tbl_df' to avoid confusion with other packages in the R ecosystem from which datasets have been sourced. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and assists users in identifying its specific characteristics. The suffix 'tbl_df' identifies the dataset as a tibble. The original content of the dataset has not been modified in any way.

Usage

data(cle_sac_tbl_df)

Format

A tibble with 500 observations and 8 variables:

year

Year of the observation (integer).

state

State of the observation (factor with 2 levels).

city

City of the observation (character).

age

Age of the individual (integer).

sex

Sex of the individual (factor with 2 levels).

race

Race of the individual (character).

marital_status

Marital status of the individual (character).

personal_income

Personal income of the individual (integer).

Source

Cleveland Study

United States Counties

Description

The dataset name has been changed to 'county_tbl_df' to avoid confusion with other packages in the R ecosystem from which datasets have been sourced. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and assists users in identifying its specific characteristics. The suffix 'tbl_df' identifies the dataset as a tibble. The original content of the dataset has not been modified in any way.

Usage

data(county_tbl_df)

Format

A tibble with 3,142 observations and 15 variables:

name

Name of the county.

state

State in which the county is located (factor with 51 levels).

pop2000

Population of the county in the year 2000.

pop2010

Population of the county in the year 2010.

pop2017

Population of the county in the year 2017.

pop_change

Change in population over the years.

poverty

Poverty rate in the county.

homeownership

Rate of homeownership in the county.

multi_unit

Percentage of multi-unit housing.

unemployment_rate

Unemployment rate in the county.

metro

Indicates if the county is in a metropolitan area (factor with 2 levels).

median_edu

Median education level in the county (factor with 4 levels).

per_capita_income

Per capita income in the county.

median_hh_income

Median household income in the county.

smoking_ban

Indicates if there is a smoking ban in place (factor with 3 levels).

Source

United States Census Bureau

American Adults on Regulation and Renewable Energy

Description

The dataset name has been changed to 'env_regulation_tbl_df' to avoid confusion with other packages in the R ecosystem from which datasets have been sourced. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and assists users in identifying its specific characteristics. The suffix 'tbl_df' identifies the dataset as a tibble. The original content of the dataset has not been modified in any way.

Usage

data(env_regulation_tbl_df)

Format

A tibble with 705 observations and 1 variable:

statement

Environmental regulation statement (character).

Source

Environmental Regulation Study

Summary of male heights from USDA Food Commodity Intake Database

Description

The dataset name has been changed to 'fcid_tbl_df' to avoid confusion with other packages in the R ecosystem from which datasets have been sourced. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and assists users in identifying its specific characteristics. The suffix 'tbl_df' identifies the dataset as a tibble. The original content of the dataset has not been modified in any way.

Usage

data(fcid_tbl_df)

Format

A tibble with 100 observations and 2 variables:

height

Height of the individual (numeric).

num_of_adults

Number of adults in the household (integer).

Source

Family Characteristics and Income Study

Google stock data

Description

The dataset name has been changed to 'goog_tbl_df' to avoid confusion with other packages in the R ecosystem from which datasets have been sourced. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and assists users in identifying its specific characteristics. The suffix 'tbl_df' identifies the dataset as a tibble. The original content of the dataset has not been modified in any way.

Usage

data(goog_tbl_df)

Format

A tibble with 98 observations and 7 variables:

date

Date of the stock price observation (factor with 98 levels).

open

Opening price of the stock (numeric).

high

Highest price during the trading session (numeric).

low

Lowest price during the trading session (numeric).

close

Closing price of the stock (numeric).

volume

Number of shares traded (integer).

adj_close

Adjusted closing price of the stock (numeric).

Source

Google Stock Market Data

Election results for 2010 Governor races in the U.S.

Description

The dataset name has been changed to 'govrace10_tbl_df' to avoid confusion with other packages in the R ecosystem from which datasets have been sourced. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and assists users in identifying its specific characteristics. The suffix 'tbl_df' identifies the dataset as a tibble. The original content of the dataset has not been modified in any way.

Usage

data(govrace10_tbl_df)

Format

A tibble with 37 observations and 23 variables:

id

Identification number (numeric).

state

State name (character).

abbr

State abbreviation (character).

name1

Name of the first candidate (character).

perc1

Percentage of votes for the first candidate (numeric).

party1

Political party of the first candidate (character).

votes1

Number of votes for the first candidate (numeric).

name2

Name of the second candidate (character).

perc2

Percentage of votes for the second candidate (numeric).

party2

Political party of the second candidate (character).

votes2

Number of votes for the second candidate (numeric).

name3

Name of the third candidate (character).

perc3

Percentage of votes for the third candidate (numeric).

party3

Political party of the third candidate (character).

votes3

Number of votes for the third candidate (numeric).

name4

Name of the fourth candidate (character).

perc4

Percentage of votes for the fourth candidate (numeric).

party4

Political party of the fourth candidate (character).

votes4

Number of votes for the fourth candidate (numeric).

name5

Name of the fifth candidate (character).

perc5

Percentage of votes for the fifth candidate (numeric).

party5

Political party of the fifth candidate (character).

votes5

Number of votes for the fifth candidate (numeric).

Source

2010 Gubernatorial Races

Homicides in nine cities in 2015

Description

The dataset name has been changed to 'homicides15_tbl_df' to avoid confusion with other packages in the R ecosystem from which datasets have been sourced. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and assists users in identifying its specific characteristics. The suffix 'tbl_df' identifies the dataset as a tibble. The original content of the dataset has not been modified in any way.

Usage

data(homicides15_tbl_df)

Format

A tibble with 1922 observations and 15 variables:

uid

Unique identifier (integer).

city_name

City name where the homicide occurred (character).

offense_code

Offense code (character).

offense_type

Type of offense (character).

date_single

Date of the homicide (POSIXct).

address

Location address of the homicide (character).

longitude

Longitude of the homicide location (numeric).

latitude

Latitude of the homicide location (numeric).

location_type

Type of location where the homicide occurred (character).

location_category

Category of the location (character).

fips_state

FIPS code of the state (integer).

fips_county

FIPS code of the county (character).

tract

Census tract where the homicide occurred (character).

block_group

Block group number (integer).

block

Block number (integer).

Source

2015 Homicides Data

United States House of Representatives historical make-up

Description

The dataset name has been changed to 'house_tbl_df' to avoid confusion with other packages in the R ecosystem from which datasets have been sourced. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and assists users in identifying its specific characteristics. The suffix 'tbl_df' identifies the dataset as a tibble. The original content of the dataset has not been modified in any way.

Usage

data(house_tbl_df)

Format

A tibble with 116 observations and 12 variables:

congress

Congress number (numeric).

year_start

Starting year of the congress (numeric).

year_end

Ending year of the congress (numeric).

seats

Total number of seats in the House of Representatives (numeric).

p1

Abbreviation of the first party (character).

np1

Number of seats for the first party (numeric).

p2

Abbreviation of the second party (character).

np2

Number of seats for the second party (numeric).

other

Number of seats for other parties (numeric).

vac

Number of vacant seats (numeric).

del

Number of delegate seats (numeric).

res

Number of resident commissioner seats (numeric).

Source

Historical House of Representatives Data

Election results for the 2010 U.S. House of Represenatives races

Description

The dataset name has been changed to 'houserace10_tbl_df' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a tibble. The original content of the dataset has not been modified.

Usage

data(houserace10_tbl_df)

Format

A tibble with 435 observations and 24 variables:

id

Unique race identifier (numeric).

state

Name of the state (character).

abbr

State abbreviation (character).

num

District number (numeric).

name1

Name of the first candidate (character).

perc1

Percentage of votes for the first candidate (numeric).

party1

Party affiliation of the first candidate (character).

votes1

Number of votes for the first candidate (numeric).

name2

Name of the second candidate (character).

perc2

Percentage of votes for the second candidate (numeric).

party2

Party affiliation of the second candidate (character).

votes2

Number of votes for the second candidate (numeric).

name3

Name of the third candidate (character).

perc3

Percentage of votes for the third candidate (numeric).

party3

Party affiliation of the third candidate (character).

votes3

Number of votes for the third candidate (numeric).

name4

Name of the fourth candidate (character).

perc4

Percentage of votes for the fourth candidate (numeric).

party4

Party affiliation of the fourth candidate (character).

votes4

Number of votes for the fourth candidate (numeric).

name5

Name of the fifth candidate (character).

perc5

Percentage of votes for the fifth candidate (numeric).

party5

Party affiliation of the fifth candidate (character).

votes5

Number of votes for the fifth candidate (numeric).

Source

2010 U.S. House of Representatives Election Data

Poll on illegal workers in the US

Description

The dataset name has been changed to 'immigration_tbl_df' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a tibble. The original content of the dataset has not been modified.

Usage

data(immigration_tbl_df)

Format

A tibble with 910 observations and 2 variables:

response

Factor indicating the response to immigration-related questions, with 4 levels.

political

Factor indicating the political alignment associated with the responses, with 3 levels.

Source

Data from surveys on immigration attitudes

Legalization of Marijuana Support in 2010 California Survey

Description

The dataset name has been changed to 'leg_mari_tbl_df' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a tibble. The original content of the dataset has not been modified.

Usage

data(leg_mari_tbl_df)

Format

A tibble with 119 observations and 1 variable:

response

Factor indicating responses related to legal marijuana, with 2 levels.

Source

Data from surveys on attitudes towards legal marijuana

New York City Marathon Times (outdated)

Description

The dataset name has been changed to 'marathon_tbl_df' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a tibble. The original content of the dataset has not been modified.

Usage

data(marathon_tbl_df)

Format

A tibble with 59 observations and 3 variables:

year

Integer indicating the year of the marathon event.

gender

Factor indicating the gender of the participants, with 2 levels.

time

Numeric value representing the marathon completion time in hours.

Source

Data from marathon event results

US Military Demographics

Description

The dataset name has been changed to 'military_tbl_df' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a tibble. The original content of the dataset has not been modified.

Usage

data(military_tbl_df)

Format

A tibble with an unspecified number of observations and 6 variables:

grade

Factor indicating the military grade, with 3 levels.

branch

Factor indicating the branch of the military, with 4 levels.

gender

Factor indicating the gender of the participants, with 2 levels.

race

Factor indicating the race of the participants, with 7 levels.

hisp

Logical indicating whether the participants identify as Hispanic.

rank

Integer representing the rank of the participants.

Source

Data from military personnel demographics

Minnesota High School Graduates of 1938

Description

The dataset name has been changed to 'minn38_df' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a data frame. The original content of the dataset has not been modified.

Usage

data(minn38_df)

Format

A data frame with 168 observations and 5 variables:

hs

Factor indicating the high school status, with 3 levels.

phs

Factor indicating the post-high school status, with 4 levels.

fol

Factor indicating the field of study, with 7 levels.

sex

Factor indicating the gender of the participants, with 2 levels.

f

Integer representing the associated numerical value for the participants.

Source

Data from the Minnesota 1938 study

Batter Statistics for 2018 Major League Baseball (MLB) Season

Description

The dataset name has been changed to 'mlb_players_18_tbl_df' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a tibble. The original content of the dataset has not been modified.

Usage

data(mlb_players_18_tbl_df)

Format

A tibble with 1270 observations and 19 variables:

name

Character string representing the name of the player.

team

Character string indicating the team the player belongs to.

position

Character string indicating the position played by the player.

games

Integer representing the number of games played.

AB

Integer indicating the number of at-bats.

R

Integer representing the number of runs scored.

H

Integer representing the number of hits.

doubles

Integer indicating the number of doubles hit.

triples

Integer indicating the number of triples hit.

HR

Integer representing the number of home runs hit.

RBI

Integer indicating the number of runs batted in.

walks

Integer indicating the number of walks received.

strike_outs

Integer indicating the number of strikeouts.

stolen_bases

Integer representing the number of stolen bases.

caught_stealing_base

Integer indicating the number of times caught stealing.

AVG

Numeric representing the batting average.

OBP

Numeric representing the on-base percentage.

SLG

Numeric representing the slugging percentage.

OPS

Numeric representing the on-base plus slugging percentage.

Source

Data from Major League Baseball (MLB) player statistics for the 2018 season

Minneapolis police use of force data.

Description

The dataset name has been changed to 'mn_police_use_of_force_df' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a data frame. The original content of the dataset has not been modified.

Usage

data(mn_police_use_of_force_df)

Format

A data frame with 12925 observations and 13 variables:

response_datetime

Character string representing the date and time of the response.

problem

Character string describing the nature of the problem.

is_911_call

Character string indicating whether the incident was initiated by a 911 call.

primary_offense

Character string indicating the primary offense involved in the incident.

subject_injury

Character string describing the injuries sustained by the subject, if any.

force_type

Character string describing the type of force used by the police.

force_type_action

Character string describing the specific actions related to the use of force.

race

Character string indicating the race of the subject involved in the incident.

sex

Character string indicating the sex of the subject.

age

Integer representing the age of the subject.

type_resistance

Character string describing the type of resistance offered by the subject.

precinct

Character string indicating the precinct in which the incident occurred.

neighborhood

Character string representing the neighborhood where the incident occurred.

Source

Data from police use of force reports in Minnesota

NBA Players for the 2018-2019 season

Description

The dataset name has been changed to 'nba_players_19_tbl_df' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a tibble. The original content of the dataset has not been modified.

Usage

data(nba_players_19_tbl_df)

Format

A tibble with 494 observations and 7 variables:

first_name

Character string representing the player's first name.

last_name

Character string representing the player's last name.

team

Character string indicating the name of the team.

team_abbr

Character string representing the team's abbreviation.

position

Character string indicating the player's position on the team.

number

Character string representing the player's jersey number.

height

Numeric value representing the player's height.

Source

Data from NBA players' statistics in 2019

North Carolina births, 1000 cases

Description

The dataset name has been changed to 'ncbirths_tbl_df' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a tibble. The original content of the dataset has not been modified.

Usage

data(ncbirths_tbl_df)

Format

A tibble with 1000 observations and 13 variables:

fage

Integer representing the father's age.

mage

Integer representing the mother's age.

mature

Factor with 2 levels indicating if the mother is mature (>=35 years).

weeks

Integer representing the number of gestation weeks.

premie

Factor with 2 levels indicating if the baby was born prematurely.

visits

Integer representing the number of prenatal visits.

marital

Factor with 2 levels indicating the marital status of the mother.

gained

Integer representing the mother's weight gain during pregnancy (in pounds).

weight

Numeric value representing the baby's birth weight (in grams).

lowbirthweight

Factor with 2 levels indicating if the baby was born with low birth weight.

gender

Factor with 2 levels indicating the baby's gender.

habit

Factor with 2 levels indicating if the mother has a smoking habit.

whitemom

Factor with 2 levels indicating if the mother is white.

Source

Data from birth records in North Carolina

New York City Marathon Times

Description

The dataset name has been changed to 'nyc_marathon_tbl_df' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a tibble. The original content of the dataset has not been modified.

Usage

data(nyc_marathon_tbl_df)

Format

A tibble with 102 observations and 7 variables:

year

Numeric value representing the year the marathon took place.

name

Character value representing the name of the runner.

country

Character value indicating the country of origin of the runner.

time

Time variable in 'hms' format representing the finish time of the runner.

time_hrs

Numeric value representing the finish time of the runner in hours.

division

Character value indicating the division (category) the runner participated in.

note

Character value containing additional notes, if any, about the runner or the race.

Source

Data from the New York City Marathon records

Thefts of motor vehicles 2014 to 2017

Description

The dataset name has been changed to 'nycvehiclethefts_tbl_df' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a tibble. The original content of the dataset has not been modified.

Usage

data(nycvehiclethefts_tbl_df)

Format

A tibble with 35,746 observations and 9 variables:

uid

Integer value representing a unique identifier for each vehicle theft incident.

date_single

Character value representing the single date of the theft incident.

date_start

Character value representing the start date of the theft incident.

date_end

Character value representing the end date of the theft incident.

longitude

Numeric value indicating the longitude where the incident occurred.

latitude

Numeric value indicating the latitude where the incident occurred.

location_type

Character value representing the type of location where the theft took place.

location_category

Character value indicating the category of the location.

census_block

Character value indicating the census block where the incident took place.

Source

Data from the New York City Vehicle Thefts records

California poll on drilling off the California coast

Description

The dataset name has been changed to 'offshore_drilling_tbl_df' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a tibble. The original content of the dataset has not been modified.

Usage

data(offshore_drilling_tbl_df)

Format

A tibble with 828 observations and 2 variables:

v1

Factor with 4 levels, representing different responses or categories related to offshore drilling.

v2

Factor with 3 levels, representing secondary categories or classifications related to the responses in v1.

Source

Data related to offshore drilling opinions or classifications

1986 Challenger disaster and O-rings

Description

The dataset name has been changed to 'orings_tbl_df' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a tibble. The original content of the dataset has not been modified.

Usage

data(orings_tbl_df)

Format

A tibble with 23 observations and 4 variables:

mission

Integer representing the mission number.

temperature

Integer representing the launch temperature in Fahrenheit.

damaged

Integer representing the number of damaged O-rings in the mission.

undamaged

Numeric representing the number of undamaged O-rings in the mission.

Source

Data from NASA missions related to O-ring performance.

Oscar winners, 1929 to 2018

Description

The dataset name has been changed to 'oscars_tbl_df' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a tibble. The original content of the dataset has not been modified.

Usage

data(oscars_tbl_df)

Format

A tibble with 184 observations and 11 variables:

oscar_no

Numeric indicating the Oscar number.

oscar_yr

Numeric representing the year the Oscar was awarded.

award

Character string indicating the category of the award.

name

Character string with the name of the recipient.

movie

Character string indicating the movie for which the award was given.

age

Numeric indicating the age of the recipient at the time of the award.

birth_pl

Character string indicating the birthplace of the recipient.

birth_date

Date representing the birthdate of the recipient.

birth_mo

Numeric indicating the birth month.

birth_d

Numeric indicating the birth day.

birth_y

Numeric indicating the birth year.

Source

Data from historical Oscar award records.

Piracy and PIPA/SOPA

Description

The dataset name has been changed to 'piracy_tbl_df' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a tibble. The original content of the dataset has not been modified.

Usage

data(piracy_tbl_df)

Format

A tibble with 534 observations and 8 variables:

name

Character string indicating the name of the politician.

party

Factor with 3 levels representing the politician's party affiliation.

state

Factor with 50 levels indicating the U.S. state the politician represents.

money_pro

Numeric representing the amount of pro-piracy funding received.

money_con

Numeric representing the amount of anti-piracy funding received.

years

Integer indicating the number of years in office.

stance

Factor with 5 levels indicating the politician's stance on piracy.

chamber

Factor with 2 levels indicating the chamber of the U.S. Congress (House or Senate).

Source

Data on political stances and funding related to piracy.

Annual Precipitation in US Cities

Description

The dataset name has been changed to 'precip_numeric' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a numeric vector. The original content of the dataset has not been modified.

Usage

data(precip_numeric)

Format

A numeric vector with 70 observations representing average annual precipitation (in inches) for various cities in the United States.

Mobile

Numeric value representing the average annual precipitation in Mobile.

Juneau

Numeric value representing the average annual precipitation in Juneau.

Phoenix

Numeric value representing the average annual precipitation in Phoenix.

Los Angeles

Numeric value representing the average annual precipitation in Los Angeles.

...

Additional cities included in the dataset.

Source

Data on precipitation for various U.S. cities.

Quarterly Approval Ratings of US Presidents

Description

The dataset name has been changed to 'presidents_ts' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a time series object. The original content of the dataset has not been modified.

Usage

data(presidents_ts)

Format

A time series object with 120 observations, covering quarterly data from 1945 to 1975. Each observation represents the number of presidents' approval ratings during a given quarter. The data is structured as follows:

Qtr1

Numeric values representing the approval ratings for the first quarter.

Qtr2

Numeric values representing the approval ratings for the second quarter.

Qtr3

Numeric values representing the approval ratings for the third quarter.

Qtr4

Numeric values representing the approval ratings for the fourth quarter.

Source

Data on presidential approval ratings from 1945 to 1975.

Election results for the 2008 U.S. Presidential race

Description

The dataset name has been changed to 'prrace08_tbl_df' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a tibble. The original content of the dataset has not been modified.

Usage

data(prrace08_tbl_df)

Format

A tibble with 51 observations and 7 variables:

state

Factor indicating the U.S. state (including Washington D.C.) where the election took place.

state_full

Factor providing the full name of the U.S. state corresponding to the abbreviation.

n_obama

Integer representing the number of votes received by Barack Obama in the state.

p_obama

Numeric representing the percentage of total votes received by Barack Obama in the state.

n_mc_cain

Integer representing the number of votes received by John McCain in the state.

p_mc_cain

Numeric representing the percentage of total votes received by John McCain in the state.

el_votes

Integer indicating the number of electoral votes allocated to the state.

Source

Data on the 2008 U.S. presidential race results by state.

Road Accident Deaths in US States

Description

The dataset name has been changed to 'road_df' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a data frame. The original content of the dataset has not been modified.

Usage

data(road_df)

Format

A data frame with 26 observations and 6 variables:

deaths

Integer indicating the number of road deaths.

drivers

Integer representing the number of licensed drivers.

popden

Numeric indicating the population density (people per square mile).

rural

Numeric indicating the percentage of rural roads.

temp

Integer representing the average temperature (in degrees Fahrenheit).

fuel

Numeric indicating the fuel consumption per capita (in gallons).

Source

Data on road safety statistics, including deaths, drivers, population density, and environmental factors.

Election results for the 2010 U.S. Senate races

Description

The dataset name has been changed to 'senaterace10_tbl_df' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a tibble. The original content of the dataset has not been modified.

Usage

data(senaterace10_tbl_df)

Format

A tibble with 38 observations and 23 variables:

id

Numeric identifier for the election race.

state

Character string indicating the U.S. state where the election took place.

abbr

Character string representing the state abbreviation.

name1

Character string indicating the name of the first candidate.

perc1

Numeric indicating the percentage of votes received by the first candidate.

party1

Character string indicating the party affiliation of the first candidate.

votes1

Numeric indicating the total votes received by the first candidate.

name2

Character string indicating the name of the second candidate.

perc2

Numeric indicating the percentage of votes received by the second candidate.

party2

Character string indicating the party affiliation of the second candidate.

votes2

Numeric indicating the total votes received by the second candidate.

name3

Character string indicating the name of the third candidate.

perc3

Numeric indicating the percentage of votes received by the third candidate.

party3

Character string indicating the party affiliation of the third candidate.

votes3

Numeric indicating the total votes received by the third candidate.

name4

Character string indicating the name of the fourth candidate.

perc4

Numeric indicating the percentage of votes received by the fourth candidate.

party4

Character string indicating the party affiliation of the fourth candidate.

votes4

Numeric indicating the total votes received by the fourth candidate.

name5

Character string indicating the name of the fifth candidate.

perc5

Numeric indicating the percentage of votes received by the fifth candidate.

party5

Character string indicating the party affiliation of the fifth candidate.

votes5

Numeric indicating the total votes received by the fifth candidate.

Source

Data on U.S. Senate races held in 2010, including candidates' names, vote percentages, and party affiliations.

Daily observations for the S&P 500 - Historical Data (1950-2018)

Description

The dataset name has been changed to 'sp500_1950_2018_tbl_df' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a tibble. The original content of the dataset has not been modified.

Usage

data(sp500_1950_2018_tbl_df)

Format

A tibble with 17346 observations and 7 variables:

Date

Factor indicating the date of the recorded stock prices.

Open

Numeric representing the opening price of the stock.

High

Numeric representing the highest price of the stock during the day.

Low

Numeric representing the lowest price of the stock during the day.

Close

Numeric representing the closing price of the stock.

Adj.Close

Numeric representing the adjusted closing price of the stock.

Volume

Numeric representing the trading volume of the stock.

Source

Historical data on S&P 500 stock prices from 1950 to 2018.

Financial information for 50 S&P 500 companies

Description

The dataset name has been changed to 'sp500_tbl_df' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a tibble. The original content of the dataset has not been modified.

Usage

data(sp500_tbl_df)

Format

A tibble with 50 observations and 12 variables:

stock

Factor indicating the stock ticker symbol of the company.

market_cap

Numeric representing the market capitalization of the company.

ent_value

Numeric representing the enterprise value of the company.

trail_pe

Numeric representing the trailing price-to-earnings ratio.

forward_pe

Numeric representing the forward price-to-earnings ratio.

ev_over_rev

Numeric representing the enterprise value to revenue ratio.

profit_margin

Numeric representing the profit margin of the company.

revenue

Numeric representing the total revenue generated by the company.

growth

Numeric representing the growth rate of the company.

earn_before

Numeric representing the earnings before interest and taxes (EBIT).

cash

Numeric representing the cash holdings of the company.

debt

Numeric representing the total debt of the company.

Source

Data on S&P 500 companies, including financial metrics and ratios.

US State Facts and Figures - U.S. State Abbreviations

Description

The dataset name has been changed to 'state_abb_character' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a character vector. The original content of the dataset has not been modified.

Usage

data(state_abb_character)

Format

A character vector with 50 elements representing U.S. state abbreviations:

state_abb

Character vector of state abbreviations, e.g., "AL" for Alabama, "CA" for California.

Source

U.S. state abbreviations.

US State Facts and Figures - US State Areas

Description

The dataset name has been changed to 'state_area_numeric' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a numeric dataset. The original content of the dataset has not been modified.

Usage

data(state_area_numeric)

Format

A numeric dataset with 50 elements representing the area of U.S. states in square kilometers:

state_area

Numeric values indicating the area of each state, measured in square kilometers.

Source

U.S. state areas.

US State Facts and Figures - US State Centers

Description

The dataset name has been changed to 'state_center_list' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a list. The original content of the dataset has not been modified.

Usage

data(state_center_list)

Format

A list with 2 elements, each containing numeric values representing the geographical center coordinates of U.S. states:

x

Numeric vector of length 50 representing the x-coordinates (longitude) of the state centers.

y

Numeric vector of length 50 representing the y-coordinates (latitude) of the state centers.

Source

Geographical data for U.S. state centers.

US State Facts and Figures - US State Divisions

Description

The dataset name has been changed to 'state_division_factor' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a factor. The original content of the dataset has not been modified.

Usage

data(state_division_factor)

Format

A factor with 50 observations representing the divisions of U.S. states. It contains 9 levels:

East South Central

Region including Alabama, Kentucky, Mississippi, and Tennessee.

Pacific

Region including California, Oregon, and Washington.

Mountain

Region including Colorado, Idaho, Montana, Nevada, Utah, and Wyoming.

West South Central

Region including Arkansas, Louisiana, Oklahoma, and Texas.

New England

Region including Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont.

South Atlantic

Region including Delaware, Florida, Georgia, Maryland, North Carolina, South Carolina, Virginia, Washington, D.C., and West Virginia.

East North Central

Region including Illinois, Indiana, Michigan, Ohio, and Wisconsin.

West North Central

Region including Iowa, Kansas, Minnesota, Missouri, Nebraska, North Dakota, and South Dakota.

Middle Atlantic

Region including New Jersey, New York, and Pennsylvania.

Source

U.S. Census Bureau regional divisions.

US State Facts and Figures - US State Names

Description

The dataset name has been changed to 'state_name_character' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a character vector. The original content of the dataset has not been modified.

Usage

data(state_name_character)

Format

A character vector with 50 observations representing the names of U.S. states.

"Alabama"

Name of the state.

"Alaska"

Name of the state.

"Arizona"

Name of the state.

"Arkansas"

Name of the state.

"California"

Name of the state.

"Colorado"

Name of the state.

"Connecticut"

Name of the state.

"Delaware"

Name of the state.

"Florida"

Name of the state.

"Georgia"

Name of the state.

"Hawaii"

Name of the state.

"Idaho"

Name of the state.

"Illinois"

Name of the state.

"Indiana"

Name of the state.

"Iowa"

Name of the state.

"Kansas"

Name of the state.

"Kentucky"

Name of the state.

"Louisiana"

Name of the state.

"Maine"

Name of the state.

"Maryland"

Name of the state.

"Massachusetts"

Name of the state.

"Michigan"

Name of the state.

"Minnesota"

Name of the state.

"Mississippi"

Name of the state.

"Missouri"

Name of the state.

"Montana"

Name of the state.

"Nebraska"

Name of the state.

"Nevada"

Name of the state.

"New Hampshire"

Name of the state.

"New Jersey"

Name of the state.

"New Mexico"

Name of the state.

"New York"

Name of the state.

"North Carolina"

Name of the state.

"North Dakota"

Name of the state.

"Ohio"

Name of the state.

"Oklahoma"

Name of the state.

"Oregon"

Name of the state.

"Pennsylvania"

Name of the state.

"Rhode Island"

Name of the state.

"South Carolina"

Name of the state.

"South Dakota"

Name of the state.

"Tennessee"

Name of the state.

"Texas"

Name of the state.

"Utah"

Name of the state.

"Vermont"

Name of the state.

"Virginia"

Name of the state.

"Washington"

Name of the state.

"West Virginia"

Name of the state.

"Wisconsin"

Name of the state.

"Wyoming"

Name of the state.

Source

U.S. Census Bureau.

US State Facts and Figures - US State Regions

Description

The dataset name has been changed to 'state_region_factor' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a factor variable representing U.S. state regions.

Usage

data(state_region_factor)

Format

A factor variable with 50 observations, representing the region of each U.S. state. The regions are classified into four levels:

"Northeast"

States located in the Northeast region.

"South"

States located in the Southern region.

"North Central"

States located in the North Central region.

"West"

States located in the Western region.

Source

U.S. Census Bureau.

US State Facts and Figures - US State Demographics and Statistics (1977)

Description

The dataset name has been changed to 'state_x77_matrix' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a matrix variable representing various demographic and statistical attributes of U.S. states in 1977.

Usage

data(state_x77_matrix)

Format

A matrix with 50 rows and 8 columns representing various demographic and statistical characteristics of U.S. states. The columns include:

Population

Population of the state.

Income

Median income of the state's residents.

Illiteracy

Illiteracy rate (percentage).

Life Exp

Life expectancy (in years).

Murder

Murder rate (per 100,000 inhabitants).

HS Grad

High school graduation rate (percentage).

Frost

Number of days with frost.

Area

Total area of the state (in square miles).

Source

U.S. Census Bureau (1977).

US Crime Rates

Description

The dataset 'us_crime_rates_spec_tbl_df' contains crime statistics for the United States, including various types of crimes and population data for each year. This dataset is structured as a tibble for ease of use within the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package.

Usage

data(us_crime_rates_spec_tbl_df)

Format

A tibble with 60 rows and 12 columns:

year

Numeric year of the recorded data, e.g., 2000, 2001.

population

Numeric population total for the respective year.

total

Numeric total number of crimes reported.

violent

Numeric total number of violent crimes.

property

Numeric total number of property crimes.

murder

Numeric total number of murders.

forcible_rape

Numeric total number of forcible rapes.

robbery

Numeric total number of robberies.

aggravated_assault

Numeric total number of aggravated assaults.

burglary

Numeric total number of burglaries.

larceny_theft

Numeric total number of larcenies.

vehicle_theft

Numeric total number of vehicle thefts.

Source

Federal Bureau of Investigation (FBI) Uniform Crime Reporting (UCR) Program.

US Temperature Data

Description

The dataset 'us_temp_tbl_df' contains temperature records from various weather stations across the United States, providing both maximum and minimum temperature readings. This dataset is structured as a tibble for ease of use within the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package.

Usage

data(us_temp_tbl_df)

Format

A tibble with 10,118 rows and 9 columns:

station

Character string representing the weather station identifier.

name

Character string for the name of the weather station.

latitude

Numeric value for the latitude of the weather station.

longitude

Numeric value for the longitude of the weather station.

elevation

Numeric value for the elevation of the weather station in meters.

date

Date of the recorded temperature data.

tmax

Numeric value for the maximum temperature recorded (in degrees Celsius).

tmin

Numeric value for the minimum temperature recorded (in degrees Celsius).

year

Factor representing the year of the recorded data.

Source

National Oceanic and Atmospheric Administration (NOAA).

American Time Survey 2009 - 2019

Description

The dataset name has been changed to 'us_time_survey_tbl_df' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a tibble. The original content of the dataset has not been modified.

Usage

data(us_time_survey_tbl_df)

Format

A tibble with 11 observations and 8 variables representing time use in various activities:

year

Numeric value representing the year of the survey.

household_activities

Numeric value representing time spent on household activities (in hours).

eating_and_drinking

Numeric value representing time spent on eating and drinking (in hours).

leisure_and_sports

Numeric value representing time spent on leisure and sports activities (in hours).

sleeping

Numeric value representing time spent sleeping (in hours).

caring_children

Numeric value representing time spent caring for children (in hours).

working_employed

Numeric value representing time spent working while employed (in hours).

working_employed_days_worked

Numeric value representing the number of days worked while employed.

Source

U.S. Bureau of Labor Statistics.

Populations Recorded by the US Census

Description

The dataset name has been changed to 'uspop_ts' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a time series object. The original content of the dataset has not been modified.

Usage

data(uspop_ts)

Format

A time series object with 19 observations representing the U.S. population from 1790 to 1970:

values

Numeric vector containing the population values in millions.

Source

U.S. Census Bureau.

US Voter Turnout Data.

Description

The dataset name has been changed to 'voter_count_spec_tbl_df' to avoid confusion with other packages in the R ecosystem. This naming convention helps distinguish this dataset as part of the 'usdatasets' package and identifies it as a special tibble. The original content of the dataset has not been modified.

Usage

data(voter_count_spec_tbl_df)

Format

A special tibble containing voting statistics across different years and regions:

year

Year of the election.

region

Region of the voters.

voting_eligible_population

Total population eligible to vote.

total_ballots_counted

Total number of ballots counted.

highest_office

Total votes for the highest office.

percent_total_ballots_counted

Percentage of total ballots counted.

percent_highest_office

Percentage of votes for the highest office.

Source

Election data from various sources.

Average Heights and Weights for American Women

Description

The dataset name has been kept as 'women_df' to maintain consistency with other datasets in the R ecosystem. This naming convention helps clearly identify this dataset within the context of its application. The original content of the dataset has not been modified.

Usage

data(women_df)

Format

A data frame containing measurements of women's height and weight:

height

Height of women in inches.

weight

Weight of women in pounds.

Source

Based on statistical data for women's height and weight.