charlatan makes fake data, inspired from and borrowing some code from Python's 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
cran version
install.packages("charlatan")dev version
devtools::install_github("ropensci/charlatan")library("charlatan")... for all fake data operations
x <- fraudster()
x$job()
#> [1] "Accountant, chartered"
x$name()
#> [1] "Rosalyn Berge"
x$color_name()
#> [1] "SaddleBrown"Adding more locales through time, e.g.,
Locale support for job data
ch_job(locale = "en_US", n = 3)
#> [1] "Energy engineer" "Biomedical engineer" "Cabin crew"
ch_job(locale = "fr_FR", n = 3)
#> [1] "Spécialiste des affaires réglementaires en chimie"
#> [2] "Chargé d'études naturalistes"
#> [3] "Ingénieur production en mécanique"
ch_job(locale = "hr_HR", n = 3)
#> [1] "Dokumentarist"
#> [2] "Stručni suradnik u predškolskoj ustanovi"
#> [3] "Pregledač vagona"
ch_job(locale = "uk_UA", n = 3)
#> [1] "Складальник" "Психолог" "Електрик"
ch_job(locale = "zh_TW", n = 3)
#> [1] "商業設計" "娛樂事業人員" "日式廚師"For colors:
ch_color_name(locale = "en_US", n = 3)
#> [1] "LightCoral" "LightGreen" "Brown"
ch_color_name(locale = "uk_UA", n = 3)
#> [1] "Синій Клейна" "Червоний" "Бурштиновий"More coming soon ...
ch_generate()
#> # A tibble: 10 x 3
#> name job phone_number
#> <chr> <chr> <chr>
#> 1 Eryn Friesen Education officer, museum 1-112-369-7012x566
#> 2 Katie Herman-Walter Financial trader 005.938.2589x20920
#> 3 Vicente Mertz Recruitment consultant 04743829816
#> 4 Florentino Kiehn Pharmacologist 678.897.4173x91600
#> 5 Miss Janay O'Keefe Production assistant, television 05168743452
#> 6 Bo Torp Health and safety inspector 375-455-1811x437
#> 7 Ewart Wehner Consulting civil engineer (032)662-4042x708…
#> 8 Mrs. Brett Torphy Engineer, land 218.141.0453
#> 9 Dr. Hezzie Crist Electrical engineer 390-729-4668x99745
#> 10 Nasir Kirlin Health promotion specialist 903-573-8975x42413ch_generate('job', 'phone_number', n = 30)
#> # A tibble: 30 x 2
#> job phone_number
#> <chr> <chr>
#> 1 TEFL teacher 270.623.5377
#> 2 Engineer, structural 646.072.1164
#> 3 Surveyor, land/geomatics 02205572110
#> 4 Optician, dispensing (661)832-6241x552
#> 5 Education administrator 398.091.8589x283
#> 6 Health promotion specialist 1-392-380-9439
#> 7 Medical laboratory scientific officer 533-660-7324
#> 8 Public relations account executive 505.267.2292x8952
#> 9 Designer, television/film set 1-687-621-5404x4993
#> 10 Broadcast presenter 284.869.0060
#> # ... with 20 more rowsch_name()
#> [1] "Dr. Trace Paucek"ch_name(10)
#> [1] "Ms. Savannah Hickle" "Farrah Bayer" "Roslyn Upton"
#> [4] "Pearley Wisozk" "Miss Alzina Hane" "Stefan Runte"
#> [7] "Dr. Shaylee Von" "Richie Schowalter" "Elvin Bailey"
#> [10] "Marissa Gerlach"ch_phone_number()
#> [1] "777.064.5901"ch_phone_number(10)
#> [1] "06888960467" "(443)980-6761" "516.753.6850x8631"
#> [4] "03547276672" "870-472-2879x17047" "1-187-034-5312x104"
#> [7] "(309)739-2098x608" "631-587-8491" "791.141.4061"
#> [10] "(265)600-8703"ch_job()
#> [1] "Higher education lecturer"ch_job(10)
#> [1] "Actuary" "Administrator, local government"
#> [3] "Race relations officer" "Adult nurse"
#> [5] "Optometrist" "Engineer, electronics"
#> [7] "Immigration officer" "Cytogeneticist"
#> [9] "Exercise physiologist" "Education officer, environmental"ch_credit_card_provider()
#> [1] "Maestro"
ch_credit_card_provider(n = 4)
#> [1] "Voyager" "VISA 16 digit" "VISA 16 digit"
#> [4] "American Express"ch_credit_card_number()
#> [1] "3337390179998936975"
ch_credit_card_number(n = 10)
#> [1] "4186144087035319" "676356787920083" "3428496399306990"
#> [4] "4422068536379628" "4549679282912533" "4366618045376"
#> [7] "4617373184622" "6011518817655950980" "3088479828588119186"
#> [10] "4486361463875038"ch_credit_card_security_code()
#> [1] "215"
ch_credit_card_security_code(10)
#> [1] "826" "612" "531" "257" "2063" "034" "082" "399" "099" "981"- Please report any issues or bugs.
- License: MIT
- Get citation information for
charlatanin R doingcitation(package = 'charlatan') - Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.
