# ==================================================================== #
# TITLE #
# cleaner: Fast and Easy Data Cleaning #
# #
# SOURCE #
# https://github.com/msberends/cleaner #
# #
# LICENCE #
# (c) 2022 Berends MS (m.s.berends@umcg.nl) #
# #
# This R package is free software; you can freely use and distribute #
# it for both personal and commercial purposes under the terms of the #
# GNU General Public License version 2.0 (GNU GPL-2), as published by #
# the Free Software Foundation. #
# #
# This R package was publicly released in the hope that it will be #
# useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. #
# ==================================================================== #
#' Example data that is not clean
#'
#' This typical data example can be used for checking and cleaning.
#' @format A \code{\link{data.frame}} with 500 observations and the following variables:
#' \describe{
#' \item{\code{date}}{Dates imported from Excel, they are integers ranging from ~30,000 to ~43,000.}
#' \item{\code{gender}}{Characters with mixed values observed in original data about patients gender.}
#' }
#' @seealso \code{\link{freq}} to check values and \code{\link{clean}} to clean them.
"unclean"
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