#' Common string values for NA
#'
#' This vector contains common values of NA (missing), which is aimed to
#' be used inside naniar functions [miss_scan_count()] and
#' [replace_with_na()]. The current list of
#' strings used can be found by printing out `common_na_strings`. It is a
#' useful way to explore your data for possible missings, but I strongly warn
#' against using this to replace NA values without very carefully looking at
#' the incidence for each of the cases. Please note that `common_na_strings`
#' uses `\\` around the "?", "." and "*" characters to protect against using
#' their wildcard features in grep. Common NA numbers are in the data object
#' `common_na_numbers`.
#'
#' @note original discussion here \url{https://github.com/njtierney/naniar/issues/168}
#' @name common_na_strings
#' @docType data
#' @examples
#'
#' dat_ms <- tibble::tribble(~x, ~y, ~z,
#' 1, "A", -100,
#' 3, "N/A", -99,
#' NA, NA, -98,
#' -99, "E", -101,
#' -98, "F", -1)
#'
#' miss_scan_count(dat_ms, -99)
#' miss_scan_count(dat_ms, c("-99","-98","N/A"))
#' common_na_strings
#' miss_scan_count(dat_ms, common_na_strings)
#' replace_with_na(dat_ms, replace = list(y = common_na_strings))
"common_na_strings"
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