kodlookr: Korean Help Resources for the dlookr Package

#' Job Change of Data Scientists
#' 
#' @description 
#' A dataset containing the gender and other attributes of almost 20000 cases. 
#' 
#' @details 
#' This dataset designed to understand the factors that lead a person to leave current job for HR researches too.
#' 
#' @format A data frame with 19158 rows and 14 variables. The variables are as follows:
#' \describe{
#'   \item{enrollee_id}{unique ID for candidate}
#'   \item{city}{city code.}
#'   \item{city_dev_index}{developement index of the city (scaled).}
#'   \item{gender}{gender of candidate.}
#'   \item{relevent_experience}{relevant experience of candidate}
#'   \item{enrolled_university}{type of University course enrolled if any.}
#'   \item{education_level}{education level of candidate.}
#'   \item{major_discipline}{education major discipline of candidate.}
#'   \item{experience}{candidate total experience in years.}
#'   \item{company_size}{number of employees in current employer's company.}
#'   \item{company_type}{type of current employer.}
#'   \item{last_new_job}{difference in years between previous job and current job.}
#'   \item{training_hours}{training hours completed.}
#'   \item{job_chnge}{if looking for a job change (boolean), Yes, No.}
#' }
#' @docType data
#' @keywords datasets
#' @name jobchange
#' @usage data(jobchange)
#' @source 
#' "HR Analytics: Job Change of Data Scientists" in Kaggle <https://www.kaggle.com/arashnic/hr-analytics-job-change-of-data-scientists>, License : CC0(Public Domain
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