Title:	Generate Fake Datasets for Prototyping and Teaching
Version:	1.0.0
Description:	Create fake datasets that can be used for prototyping and teaching. This package provides a set of functions to generate fake data for a variety of data types, such as dates, addresses, and names. It can be used for prototyping (notably in 'shiny') or as a tool to teach data manipulation and data visualization.
License:	MIT + file LICENSE
URL:	https://github.com/Thinkr-open/fakir
BugReports:	https://github.com/Thinkr-open/fakir/issues
Depends:	R (≥ 2.10)
Imports:	attempt, charlatan, dplyr, glue, lubridate, magrittr, purrr, stats, tibble, tidyr, withr
Suggests:	covr, ggplot2, knitr, pkgdown, rmarkdown, sf, testthat
VignetteBuilder:	knitr
Encoding:	UTF-8
LazyData:	true
RoxygenNote:	7.2.3
NeedsCompilation:	no
Packaged:	2023-04-12 19:30:30 UTC; colinfay
Author:	Colin Fay [aut, cre], Sebastien Rochette [aut], ThinkR [cph]
Maintainer:	Colin Fay <contact@colinfay.me>
Repository:	CRAN
Date/Publication:	2023-04-13 11:20:02 UTC

fakir: Generate Fake Datasets for Prototyping and Teaching

Description

Create fake datasets that can be used for prototyping and teaching. This package provides a set of functions to generate fake data for a variety of data types, such as dates, addresses, and names. It can be used for prototyping (notably in 'shiny') or as a tool to teach data manipulation and data visualization.

Author(s)

Maintainer: Colin Fay contact@colinfay.me (ORCID)

Authors:

• Sebastien Rochette sebastien@thinkr.fr (ORCID)

Other contributors:

• ThinkR [copyright holder]

See Also

Useful links:

• https://github.com/Thinkr-open/fakir

• Report bugs at https://github.com/Thinkr-open/fakir/issues

Pipe operator

Description

See magrittr::%>% for details.

Usage

lhs %>% rhs

Arguments

Value

The result of calling 'rhs(lhs)'.

Create a fake base of tickets

Description

A fake base of customer support tickets

Usage

fake_base_clients(n, local = c("en_US", "fr_FR"), seed = 2811)

Arguments

Value

A dataframe of fake clients.

Examples

fake_base_clients(n = 10)
fake_base_clients(n = 10, local = "fr_FR")

Fake base of products

Description

Fake base of products

Usage

fake_products(n, seed = 2811)

Arguments

Value

a dataframe

A dataframe of fake products.

Examples

fake_products(10)

Base transport

Description

Base transport

Create fake transport sondage

Usage

fake_survey_people(n, seed = 2811, local = c("fr_FR"))

fake_sondage_people(...)

fake_survey_answers(n = 200, x, seed = 2811, split = FALSE, local = c("fr_FR"))

fake_sondage_answers(...)

Arguments

Details

• id_individu Unique identification of people with "ID-AAAA-1111" pattern

• sexe. sex. c("F" = "Female", "M" = "Male", "O" = "Other"). Some are missing

• age age. Some are missing

• region. some regions have NA values that may be fill with left_join with fra_sf dataset. Some regions are more represented than others

• id_departement. number identifying French department

• nom_departement. Name of the department. Some departement have NA values that may be fill using id_departement.

• question_date. Date/hour when questionnaire has been answered.

• year. year extracted from question_date

• 3 types for each individuals: travail, commerces, loisirs

• distance_km. Average distance (km) to target location. Distance is related to age.

• transport. Mean of transport to go to target location. Depends on distance.

• time_travel_hours. Average duration (hours) to target location. Depends on distance and transport.

Value

A dataframe of fake result from a .

Examples

fake_survey_people(10)
answers <- fake_sondage_answers()
if (FALSE){
ggplot(answers) +
  aes(age, log(distance_km), colour = type) +
  geom_point() +
  geom_smooth() +
  facet_wrap(~type, scales = "free_y")
}

Base ticket client

Description

Une fausse base client de ticket Telecom

Usage

fake_ticket_client(
  vol,
  x,
  n = 200,
  split = FALSE,
  seed = 2811,
  local = c("en_US", "fr_FR")
)

Arguments

Details

• Same client can have multiple tickets

• Some clients are more sampled than others

• Some types are more sampled than others

• Some etat are more sampled than others

Value

A dataframe of fake tickets.

Examples

x <- fake_ticket_client(1000, split = TRUE)
plot(x$clients$entry_date, x$clients$fidelity_points)
barplot(table(x$tickets$type))
barplot(table(x$tickets$state))

Fake user feedbacks

Description

Fake user feedbacks

Usage

fake_user_feedback(
  n,
  seed = 2811,
  from = "2012-01-01 00:00:01",
  to = "2020-01-01 00:00:01"
)

Arguments

Value

a dataframe

Examples

fake_user_feedback(10)

Create a fake support ticket base

Description

Create a fake support ticket base

Usage

fake_visits(
  from = "2017-01-01",
  to = "2017-12-31",
  local = c("en_US", "fr_FR"),
  seed = 2811
)

Arguments

Value

A dataframe of fake web visits.

Examples

fake_visits()

Map of France

Description

A map of France as sf object. Can be used as dataset or for maps

Usage

fra_sf

Format

A data frame with 96 rows, 5 variables and a spatial geometry (MULTIPOLYGON):

OBJECTID

polygon identifier

pays

country: France

region

region name

departement

departement name

id_dpt

departement id

geometry

polygon geometry