#' Drop All Columns that contain only NA's
#'
#' @param .data PTOS Data
#'
#' @return Cleaned PTOS Data
#' @export
drop_blank_columns <- function(.data) {
complete_obs <- map_dfc.(.data, ~sum(is.na(.))) %>%
rename_with.(~ sub(".x", "", .x)) %>%
pivot_longer.(cols = everything.(), names_to = "column_names", values_to = "missing_obs") %>%
mutate.(max_obs = max(missing_obs),
prct_missing = missing_obs/max_obs)
drop_column_list <- complete_obs %>%
filter.(prct_missing >= 1) %>% #drop columns that have no observations
pull.(column_names)
# message(paste("Dropping a few columns here... ", length(drop_column_list), "to be exact" ))
message(paste("Dropping a few columns here... ", length(drop_column_list), "to be exact" ))
.data <- .data %>%
select.(-any_of.(drop_column_list))
tidytable::inv_gc()
return(.data)
}
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