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The peeps dataset contains records for one hundred people residing in ten different countries. Each person in the table has address information along with their email address and phone number. There are also personal characteristics like date of birth, height, and weight. This data has been synthesized, and so the names within the table have not been taken or based on individuals in real life. The street addresses were generated from actual street names within real geographic localities, however, the street numbers were assigned randomly from a constrained number set. While these records do not relate to real people, efforts were made to make the data as realistic as possible.

Usage

peeps

Format

A tibble with 100 rows and 14 variables:

name_given, name_family

The given and family name of individual.

address

The street address of the individual.

city

The name of the city or locality in which the individual resides.

state_prov

The state or province associated with the city and address. This is NA for individuals residing in countries where subdivision data is not needed for generating a valid mailing address.

postcode

The post code associated with the city and address.

country

The 3-letter ISO 3166-1 country code representative of the individual's country.

email_addr

The individual's email address.

phone_number, country_code

The individual's phone number and the country code associated with the phone number.

gender

The gender of the individual.

dob

The individual's date of birth (DOB) in the ISO 8601 form of YYYY-MM-DD.

height_cm, weight_kg

The height and weight of the individual in centimeters (cm) and kilograms (kg), respectively.

Examples

Here is a glimpse at the data available in peeps.

dplyr::glimpse(peeps)
#> Rows: 100
#> Columns: 14
#> $ name_given   <chr> "Ruth", "Peter", "Fanette", "Judyta", "Leonard", "Maymun"~
#> $ name_family  <chr> "Conte", "Möller", "Gadbois", "Borkowska", "Jacobs", "Kho~
#> $ address      <chr> "4299 Bobcat Drive", "3705 Hidden Pond Road", "4200 Swick~
#> $ city         <chr> "Baileys Crossroads", "Red Boiling Springs", "New Orleans~
#> $ state_prov   <chr> "MD", "TN", "LA", "NY", "CA", "OH", "IN", "MA", "CA", "TX~
#> $ postcode     <chr> "22041", "37150", "70112", "14125", "90036", "45013", "46~
#> $ country      <chr> "USA", "USA", "USA", "USA", "USA", "USA", "USA", "USA", "~
#> $ email_addr   <chr> "rcconte@example.com", "pmoeller@example.com", "fan_gadbo~
#> $ phone_number <chr> "240-783-7630", "615-699-3517", "985-205-2970", "585-948-~
#> $ country_code <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 32, 32, 32, 32, 32, 32, 32,~
#> $ gender       <chr> "female", "male", "female", "female", "male", "male", "fe~
#> $ dob          <date> 1949-03-16, 1939-11-22, 1970-12-20, 1965-07-19, 1985-10-~
#> $ height_cm    <int> 153, 175, 167, 156, 177, 172, 168, 165, 181, 187, 164, 15~
#> $ weight_kg    <dbl> 76.4, 74.9, 61.6, 54.5, 113.2, 88.4, 63.5, 61.3, 99.7, 10~

Dataset ID and Badge

DATA-8

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Dataset Introduced

In Development