R/customer_phone_calls.R

In sdcastillo/ExamPAData: Data Sets for Predictive Analytics Exam

#' Customer Phone Calls
#'
#' @description Data used on June 18, 2020 Exam PA
#'
#' @docType data
#'
#' @usage customer_phone_calls
#'
#' @format data.frame, 10000 observations of 14 variables:
#' \describe{
#'   \item{age}{Age of the prospective customer. Integer from 17 to 98.}
#'   \item{job}{Occupation category. Factor with 11 levels.}
#'   \item{marital}{Marital status. Factor with levels divorced, married,
#'         and single}
#'   \item{housing}{Indicates whether the prospect has a housing loan. Factor
#'         with levels yes and no.}
#'   \item{loan}{Indicates whether the prospect has a consumer loan. Factor
#'         with levels yes and no.}
#'   \item{phone}{The type of phone the prospect uses. Factors with levels
#'         cellular and landline.}
#'   \item{month}{The month of the marketing call. Factor with 12 levels.}
#'   \item{weekday}{The day of the week of the marketing call. Factor with five
#'         levels.}
#'   \item{CPI}{Consumer price index at the time of the call. Numeric from
#'         92.20 to 94.77.}
#'   \item{CCI}{Consumer confidence index at the time of the call. Numeric
#'         from -50.8 to -26.9.}
#'   \item{irate}{Short term interest rate at the tie of the call. Numeric
#'         from 0.634 to 5.045.}
#'   \item{employment}{Number of employees of ABC Insurance at the time of the
#'         call. Numeric from 4964 to 5228.}
#'   \item{purchase}{Indicator of purchase. Integer (1 for purchase, or 0 for
#'         no purchase.)}
#'   \item{edu_years}{Years of education. Integer from 1 to 16.}
#' }
#'
#' @keywords datasets
#'
#'
#'
"customer_phone_calls"