create_data_buy: Create data buy

In explore: Simplifies Exploratory Data Analysis

Create data buy

Description

Artificial data that can be used for unit-testing or teaching

Usage

create_data_buy(
  obs = 1000,
  target_name = "buy",
  factorise_target = FALSE,
  target1_prob = 0.5,
  add_extreme = TRUE,
  flip_gender = FALSE,
  add_id = FALSE,
  seed = 123
)

Arguments

obs	Number of observations
target_name	Variable name of target
factorise_target	Should target variable be factorised? (from 0/1 to factor no/yes)?
target1_prob	Probability that target = 1
add_extreme	Add an observation with extreme values?
flip_gender	Should Male/Female be flipped in data?
add_id	Add an id-variable to data?
seed	Seed for randomization

Details

Variables in dataset:

• id = Identifier

• period = Year & Month (YYYYMM)

• city_ind = Indicating if customer is residing in a city (1 = yes, 0 = no)

• female_ind = Gender of customer is female (1 = yes, 0 = no)

• fixedvoice_ind = Customer has a fixed voice product (1 = yes, 0 = no)

• fixeddata_ind = Customer has a fixed data product (1 = yes, 0 = no)

• fixedtv_ind = Customer has a fixed TV product (1 = yes, 0 = no)

• mobilevoice_ind = Customer has a mobile voice product (1 = yes, 0 = no)

• mobiledata_prd = Customer has a mobile data product (NO/MOBILE STICK/BUSINESS)

• bbi_speed_ind = Customer has a Broadband Internet (BBI) with extra speed

• bbi_usg_gb = Broadband Internet (BBI) usage in Gigabyte (GB) last month

• hh_single = Expected to be a Single Household (1 = yes, 0 = no)

Target in dataset:

• buy (may be renamed) = Did customer buy a new product in next month? (1 = yes, 0 = no)

Value

A dataset as tibble

Examples

create_data_buy()

explore documentation built on Sept. 11, 2024, 7:40 p.m.