charlatan
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
- 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 (Digial 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, very few dependencies, all deps lite weight
- 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
devtools::install_github("ropensci/charlatan")library("charlatan")high level function
... for all fake data operations
x <- fraudster()
x$job()
#> [1] "Best boy"
x$name()
#> [1] "Dr. Adelard Ullrich III"
x$job()
#> [1] "Teacher, English as a foreign language"
x$color_name()
#> [1] "PaleGreen"locale support
Adding more locales through time, e.g.,
Locale support for job data
ch_job(locale = "en_US", n = 3)
#> [1] "Psychologist, counselling" "Operations geologist"
#> [3] "Engineer, agricultural"
ch_job(locale = "fr_FR", n = 3)
#> [1] "Expert bilan carbone" "Maréchal" "Déclarant en douane"
ch_job(locale = "hr_HR", n = 3)
#> [1] "Djelatnik koji obavlja poslove miniranja"
#> [2] "Prvostupnik sanitarnog inženjerstva"
#> [3] "Radnik zaposlen na rukovodećim poslovima"
ch_job(locale = "uk_UA", n = 3)
#> [1] "Слідчий" "Письменник" "Дерун"
ch_job(locale = "zh_TW", n = 3)
#> [1] "工程研發主管" "生命禮儀師" "資訊專業人員"For colors:
ch_color_name(locale = "en_US", n = 3)
#> [1] "LightGoldenRodYellow" "Maroon" "MintCream"
ch_color_name(locale = "uk_UA", n = 3)
#> [1] "Помаранчево-рожевий" "Синій Клейна" "Зелено-сірий чай"More coming soon ...
generate a dataset
ch_generate()
#> # A tibble: 10 x 3
#> name job
#> <chr> <chr>
#> 1 Dr. Francies Stracke MD Technical brewer
#> 2 Dr. Darl O'Connell Site engineer
#> 3 Deeann Cartwright Photographer
#> 4 Jameson Will Risk analyst
#> 5 Mr. Nolan Johnston MD Secretary, company
#> 6 Lori Cassin Engineer, civil (contracting)
#> 7 Cole Heathcote Jr. Radiation protection practitioner
#> 8 Maud Bradtke Homeopath
#> 9 Dr. Aarav Schmeler Higher education careers adviser
#> 10 Encarnacion Johnson Diagnostic radiographer
#> # ... with 1 more variables: phone_number <chr>ch_generate('job', 'phone_number', n = 30)
#> # A tibble: 30 x 2
#> job phone_number
#> <chr> <chr>
#> 1 Engineer, electrical 712.899.2585
#> 2 Public affairs consultant (778)814-7867
#> 3 Acupuncturist 228.349.2737
#> 4 Industrial buyer (877)893-5585
#> 5 Engineer, civil (contracting) 736-920-6001
#> 6 Adult nurse 1-158-403-4683
#> 7 Optometrist +10(3)5619999908
#> 8 Equality and diversity officer 1-103-042-2579
#> 9 Music tutor 1-434-296-1629
#> 10 Chief Technology Officer 1-866-990-2513x096
#> # ... with 20 more rowsperson name
ch_name()
#> [1] "Karri Nolan"ch_name(10)
#> [1] "Coral Bernier DDS" "Miss Cleola Wyman MD"
#> [3] "Eliga Roberts" "Ellery Toy-Mosciski"
#> [5] "Ms. Noretta Krajcik" "Delton Cartwright"
#> [7] "Leander Cartwright-Cremin" "Andre Fritsch"
#> [9] "Trudy Osinski" "Ozell Harber"phone number
ch_phone_number()
#> [1] "846.677.8207"ch_phone_number(10)
#> [1] "(041)140-1861x299" "(714)986-0321" "+14(2)9383900035"
#> [4] "792-024-7630" "+98(9)4934404941" "05682486341"
#> [7] "311-816-8497" "158-272-6961" "09412768076"
#> [10] "925-770-8357x9548"job
ch_job()
#> [1] "Toxicologist"ch_job(10)
#> [1] "Radiographer, therapeutic"
#> [2] "Sports development officer"
#> [3] "Site engineer"
#> [4] "Archivist"
#> [5] "Media planner"
#> [6] "Armed forces training and education officer"
#> [7] "Teacher, secondary school"
#> [8] "Legal secretary"
#> [9] "Sports administrator"
#> [10] "Biomedical engineer"credit cards
ch_credit_card_provider()
#> [1] "Diners Club / Carte Blanche"
ch_credit_card_provider(n = 4)
#> [1] "JCB 16 digit" "Discover" "Mastercard" "JCB 16 digit"ch_credit_card_number()
#> [1] "4393236964879"
ch_credit_card_number(n = 10)
#> [1] "180092387684893340" "51512743884706116" "676205140541326"
#> [4] "3052225761814848" "3337762150079667193" "639084767378585"
#> [7] "3337168650130468408" "52586108990026422" "51556384483864878"
#> [10] "869950882615296431"ch_credit_card_security_code()
#> [1] "938"
ch_credit_card_security_code(10)
#> [1] "946" "994" "634" "794" "682" "581" "270" "697" "3179" "483"Meta
- 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.