#' Summarize the Characters
#'
#' This function provides a brief overview of the character columns in the supplied dataframe. With this function, you can easily discover the number of missing values and the number of unique values.
#'
#' @param df `dataframe` or `tibble`
#'
#' @return `tibble`, tibble of summary
#' @export
#'
#' @importFrom magrittr "%>%"
#'
#' @examples
#' # the_characters(iris)
the_characters <- function(df) {
# let's get the character columns only
dfb <- df %>%
dplyr::select_if(function(col) is.character(col) | all(is.factor(col)))
# get the variable type
dfb_type <- dfb %>%
purrr::map_df(function(x) class(x)) %>%
tidyr::gather(key = 'variable', value = 'type')
# get the unique values in character columns
dfb_unique <- dfb %>%
purrr::map_df(function(x) length(unique(x))) %>%
tidyr::gather(key = 'variable', value = 'unique')
# get the number missing in character columns
dfb_missing <- dfb %>%
purrr::map_df(function(x) sum(is.na(x))) %>%
tidyr::gather(key = 'variable', value = 'missing')
combo <- dfb_type %>%
dplyr::inner_join(dfb_unique, by = 'variable') %>%
dplyr::inner_join(dfb_missing, by = 'variable')
combo
}
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