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  • License
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  • Created over 7 years ago
  • Updated 14 days ago

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Repository Details

Create fake data in R

charlatan

Project Status: Active – The project has reached a stable, usable state and is being actively developed. R-check cran checks cran version rstudio mirror downloads

charlatan makes fake data, inspired from and borrowing some code from Python's faker (https://github.com/joke2k/faker)

Make fake data for:

  • person names
  • jobs
  • phone numbers
  • colors: names, hex, rgb
  • credit cards
  • DOIs
  • numbers in range and from distributions
  • gene sequences
  • geographic coordinates
  • emails
  • URIs, URLs, and their parts
  • IP addresses
  • more coming ...

Possible use cases for charlatan:

  • Students in a classroom setting learning any task that needs a dataset.
  • People doing simulations/modeling that need some fake data
  • Generate fake dataset of users for a database before actual users exist
  • Complete missing spots in a dataset
  • Generate fake data to replace sensitive real data with before public release
  • Create a random set of colors for visualization
  • Generate random coordinates for a map
  • Get a set of randomly generated DOIs (Digital Object Identifiers) to assign to fake scholarly artifacts
  • Generate fake taxonomic names for a biological dataset
  • Get a set of fake sequences to use to test code/software that uses sequence data

Reasons to use charlatan:

  • Lite weight, few dependencies
  • Relatively comprehensive types of data, and more being added
  • Comprehensive set of languages supported, more being added
  • Useful R features such as creating entire fake data.frame's

Installation

cran version

install.packages("charlatan")

dev version

remotes::install_github("ropensci/charlatan")
library("charlatan")
set.seed(12345)

high level function

... for all fake data operations

x <- fraudster()
x$job()
#> [1] "Corporate investment banker"
x$name()
#> [1] "Dr. Garey Hamill"
x$color_name()
#> [1] "Ivory"

locale support

Adding more locales through time, e.g.,

Locale support for job data

ch_job(locale = "en_US", n = 3)
#> [1] "Therapeutic radiographer" "Teacher, primary school" 
#> [3] "Lobbyist"
ch_job(locale = "fr_FR", n = 3)
#> [1] "Contrôleur de gestion"    "Bactériologiste"         
#> [3] "Attaché d'administration"
ch_job(locale = "hr_HR", n = 3)
#> [1] "Dokumentarist savjetnik" "Maser – kupeljar"       
#> [3] "Voditelj projekta"
ch_job(locale = "uk_UA", n = 3)
#> [1] "Доцент"              "Дипломат"            "Головний меркшейдер"
ch_job(locale = "zh_TW", n = 3)
#> [1] "牙醫師"           "飛安人員"         "機電技師/工程師"

For colors:

ch_color_name(locale = "en_US", n = 3)
#> [1] "LightSeaGreen" "Brown"         "Aqua"
ch_color_name(locale = "uk_UA", n = 3)
#> [1] "Сиваво-зелений"      "Берлінська лазур"    "Сині яйця малинівки"

More coming soon ...

generate a dataset

ch_generate()
#> # A tibble: 10 × 3
#>    name                    job                              phone_number    
#>    <chr>                   <chr>                            <chr>           
#>  1 King Bartoletti         Trading standards officer        972.438.0296    
#>  2 Dr. Ike Gerhold         Surgeon                          (963)938-1790   
#>  3 Dr. Tatyanna Blanda DVM Estate agent                     856.021.4956x893
#>  4 Antione Grant           Fish farm manager                132.576.3127    
#>  5 Michal Gutmann          Scientist, research (maths)      837.134.4726x743
#>  6 Ross Cartwright PhD     Dealer                           773-448-3969    
#>  7 Michal Balistreri       Phytotherapist                   110-184-6140x699
#>  8 Mabelle Crist           Neurosurgeon                     275-104-0595    
#>  9 Infant Dicki            Armed forces operational officer 766-679-9103x791
#> 10 Karri Heaney            Psychiatric nurse                02278877787
ch_generate('job', 'phone_number', n = 30)
#> # A tibble: 30 × 2
#>    job                                 phone_number      
#>    <chr>                               <chr>             
#>  1 Interior and spatial designer       005-426-5468x0971 
#>  2 Geophysical data processor          459-522-7741      
#>  3 Ophthalmologist                     678.654.1098x445  
#>  4 Engineer, agricultural              373.769.5149      
#>  5 Dealer                              121.204.9799x098  
#>  6 Environmental health practitioner   1-222-568-8486    
#>  7 Surveyor, hydrographic              228.958.1370x0609 
#>  8 Lobbyist                            (976)726-0690x1803
#>  9 Cytogeneticist                      008.111.9486      
#> 10 Designer, blown glass/stained glass 387-870-5348      
#> # … with 20 more rows
#> # ℹ Use `print(n = ...)` to see more rows

person name

ch_name()
#> [1] "Susannah Batz-Mraz"
ch_name(10)
#>  [1] "Deondre Jerde"           "Harriett Goodwin"       
#>  [3] "Kaitlynn Dooley"         "Dr. Alannah Botsford"   
#>  [5] "Koby O'Hara-Goldner"     "Carlene Osinski"        
#>  [7] "Miss Alyson Ankunding"   "Dr. Sommer Schroeder MD"
#>  [9] "Sienna Cummerata"        "Ms. Celena Hermiston"

phone number

ch_phone_number()
#> [1] "872-976-6093x382"
ch_phone_number(10)
#>  [1] "+49(9)6373771353"   "1-055-870-8362x208" "+11(9)5635135534"  
#>  [4] "405.525.0245x20351" "(217)908-6461x9385" "(256)144-8907x242" 
#>  [7] "345-963-8208"       "01949102189"        "368.299.7724x532"  
#> [10] "193-445-5487x40228"

job

ch_job()
#> [1] "Warden/ranger"
ch_job(10)
#>  [1] "Engineer, biomedical"          "Librarian, public"            
#>  [3] "Designer, television/film set" "Orthoptist"                   
#>  [5] "Actuary"                       "Television floor manager"     
#>  [7] "Surgeon"                       "Programmer, applications"     
#>  [9] "Social researcher"             "Engineer, electrical"

credit cards

ch_credit_card_provider()
#> [1] "Voyager"
ch_credit_card_provider(n = 4)
#> [1] "American Express" "Mastercard"       "Voyager"          "VISA 16 digit"
ch_credit_card_number()
#> [1] "4149758795998363"
ch_credit_card_number(n = 10)
#>  [1] "3096280733755669659" "3528862994544207088" "55375315925243502"  
#>  [4] "675963691601916"     "4387854850341820"    "6011460885189949222"
#>  [7] "4755578842679336"    "210015419106563146"  "55222480023215177"  
#> [10] "4247284207922"
ch_credit_card_security_code()
#> [1] "301"
ch_credit_card_security_code(10)
#>  [1] "386" "978" "998" "267" "238" "036" "965" "356" "502" "786"

Usage in the wild

Contributors

similar art

Meta

  • Please report any issues or bugs.
  • License: MIT
  • Get citation information for charlatan in R doing citation(package = 'charlatan')
  • Please note that this package is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

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