#' 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}
NULL
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