charlatan

Project Status: Active – The project has reached a stable, usable state and is being actively developed. Build Status Build status cran checks codecov cran version

charlatan makes fake data, inspired from and borrowing some code from Python’s faker

Make fake data for:

Possible use cases for charlatan:

Reasons to use charlatan:

Installation

cran version

install.packages("charlatan")

dev version

devtools::install_github("ropensci/charlatan")
library("charlatan")

high level function

… for all fake data operations

x <- fraudster()
x$job()
#> [1] "Engineer, communications"
x$name()
#> [1] "Ms. Fleeta Bashirian"
x$color_name()
#> [1] "Aquamarine"

locale support

Adding more locales through time, e.g.,

Locale support for job data

ch_job(locale = "en_US", n = 3)
#> [1] "Investment banker, operational" "Psychologist, forensic"        
#> [3] "Magazine features editor"
ch_job(locale = "fr_FR", n = 3)
#> [1] "Diététicien"                       
#> [2] "Auteur interprète"                 
#> [3] "Ingénieur maintenance aéronautique"
ch_job(locale = "hr_HR", n = 3)
#> [1] "Voditelj skele u nacionalnoj plovidbi"
#> [2] "Čuvar prirode"                        
#> [3] "Viši arhivist"
ch_job(locale = "uk_UA", n = 3)
#> [1] "Режисер"   "Математик" "Ріелтор"
ch_job(locale = "zh_TW", n = 3)
#> [1] "多媒體開發主管"   "公共衛生醫師"     "產品企劃開發人員"

For colors:

ch_color_name(locale = "en_US", n = 3)
#> [1] "MediumSlateBlue" "Chocolate"       "HotPink"
ch_color_name(locale = "uk_UA", n = 3)
#> [1] "Морквяний"          "Яскраво-фіолетовий" "Брунато-малиновий"

More coming soon …

generate a dataset

ch_generate()
#> # A tibble: 10 x 3
#>    name                    job                        phone_number        
#>    <chr>                   <chr>                      <chr>               
#>  1 Hervey Luettgen         Consulting civil engineer  (135)742-8104x9887  
#>  2 Mr. Deontae Herzog      Further education lecturer 426.369.0824        
#>  3 Vicki Denesik           Solicitor, Scotland        1-535-887-8338x39579
#>  4 Mrs. Elvera Heidenreich Secretary/administrator    577.988.6970x0455   
#>  5 Bambi Sanford           Equities trader            1-861-301-3087x38656
#>  6 Garrison Jones          Field seismologist         824-865-3964        
#>  7 Alia Grant              Occupational hygienist     08896842450         
#>  8 Kyree Koss              Equities trader            (086)781-0334       
#>  9 Bama Christiansen DDS   Forensic scientist         582-048-8116        
#> 10 Alfie Koepp             Police officer             (645)984-3611x1223
ch_generate('job', 'phone_number', n = 30)
#> # A tibble: 30 x 2
#>    job                         phone_number       
#>    <chr>                       <chr>              
#>  1 Youth worker                615-108-9165       
#>  2 Charity officer             1-917-206-3061x001 
#>  3 Museum/gallery curator      08799787859        
#>  4 Social researcher           (436)081-1417x20183
#>  5 Ship broker                 840-520-7103       
#>  6 Electrical engineer         1-166-486-7102     
#>  7 Games developer             240-503-6455x54793 
#>  8 Multimedia programmer       +78(5)8476399438   
#>  9 Engineer, maintenance (IT)  03183289534        
#> 10 Conservator, museum/gallery +32(0)2448780352   
#> # ... with 20 more rows

person name

ch_name()
#> [1] "Pauline Renner"
ch_name(10)
#>  [1] "Jon Anderson PhD"        "Dirk Hagenes"           
#>  [3] "Iola Hills"              "Ms. Merna Kilback PhD"  
#>  [5] "May Hermann"             "Dr. Zavier Kassulke III"
#>  [7] "Mr. Yancy Stiedemann"    "Ms. Melina Dach"        
#>  [9] "Ms. Janine Kunde"        "Lovett Greenfelder"

phone number

ch_phone_number()
#> [1] "799.053.8298x03215"
ch_phone_number(10)
#>  [1] "1-795-047-3421"       "01683058041"          "(199)253-2025"       
#>  [4] "442-608-7772x39728"   "006.994.5557"         "566.052.5676x69403"  
#>  [7] "+93(5)4894763387"     "1-067-264-4141x90001" "1-891-855-7961"      
#> [10] "334.562.6526"

job

ch_job()
#> [1] "Careers adviser"
ch_job(10)
#>  [1] "Midwife"                                
#>  [2] "Solicitor"                              
#>  [3] "Engineer, maintenance (IT)"             
#>  [4] "Lecturer, higher education"             
#>  [5] "Scientist, research (physical sciences)"
#>  [6] "Hydrogeologist"                         
#>  [7] "Editor, commissioning"                  
#>  [8] "Research officer, political party"      
#>  [9] "Estate manager/land agent"              
#> [10] "Brewing technologist"

credit cards

ch_credit_card_provider()
#> [1] "JCB 15 digit"
ch_credit_card_provider(n = 4)
#> [1] "JCB 15 digit" "Voyager"      "Discover"     "JCB 16 digit"
ch_credit_card_number()
#> [1] "3766356690332082"
ch_credit_card_number(n = 10)
#>  [1] "55520251460378052"   "561252701122526"     "3337396755300677029"
#>  [4] "4321262613647302"    "4500978817193750"    "869995174334936019" 
#>  [7] "869976711099048283"  "54335568117639643"   "210023110046558888" 
#> [10] "6011082845864142715"
ch_credit_card_security_code()
#> [1] "546"
ch_credit_card_security_code(10)
#>  [1] "772"  "273"  "192"  "316"  "769"  "536"  "041"  "3830" "133"  "991"

Usage in the wild

Contributors

similar art

Meta

ropensci_footer