R/data.R

In SpeckledJim2/lucidum: A Shiny App to Build and Understand GBMs and GLMs

#' Prices of 25,000 motor insurance policies
#'
#' A dataset containing the prices and other attributes of 25,000
#'  motor insurance customers. The variables are as follows:
#'
#' @format A data frame with 25000 rows and 17 variables:
#' \describe{
#'   \item{age}{the customer's age}
#'   \item{experience}{the number of years the customer has held their driving licence}
#'   \item{licence}{the type of driving licence}
#'   \item{NCD}{the number of years' no claims discount}
#'   \item{PostcodeArea}{the UK postcode area of the customer's address}
#'   \item{make}{vehicle make}
#'   \item{EngineCC}{vehicle engine capacity in cubic centimeters}
#'   \item{fuel}{vehicle fuel type, P=Petrol, D=Diesel, E=Electric}
#'   \item{value}{the value of the vehicle}
#'   \item{vehicle_age}{the age of the vehicle}
#'   \item{ownership}{how many years the customer has owned the vehicle}
#'   \item{vehicle_kept}{where the vehicle is kept overnight}
#'   \item{mileage}{the number of miles driven per year}
#'   \item{use}{what the vehicle is used for}
#'   \item{claims}{the number of prior claims the customer has made}
#'   \item{price}{price paid for the policy}
#'   \item{train_test}{training rows are 0, test rows are 1}
#' }
"insurance"