R/HR_data.R

In EIX: Explain Interactions in 'XGBoost'

#' Why are our best and most experienced employees leaving prematurely?
#'
#' A dataset from Kaggle competition Human Resources Analytics.
#' https://www.kaggle.com/ludobenistant/hr-analytics/data
#'
#' The description of the dataset was copied from the \code{breakDown} package.
#'
#' \itemize{
#'    \item  satisfaction_level Level of satisfaction (0-1)
#'    \item  last_evaluation Time since last performance evaluation (in Years)
#'    \item  number_project  Number of projects completed while at work
#'    \item  average_montly_hours  Average monthly hours at workplace
#'    \item  time_spend_company  Number of years spent in the company
#'    \item  Work_accident  Whether the employee had a workplace accident
#'    \item  left  Whether the employee left the workplace or not (1 or 0) Factor
#'    \item  promotion_last_5years  Whether the employee was promoted in the last five years
#'    \item  sales  Department in which they work for
#'    \item  salary  Relative level of salary (high)
#' }
#'
#' @name HR_data
#' @format A data table with 14999 rows and 10 variables
#' @source https://www.kaggle.com/ludobenistant/hr-analytics/data, \url{https://cran.r-project.org/package=breakDown}
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