#' Prepare data for plotting treemap.
#'
#' \code{dataTree}
#'
#' @param dat A dataframe with columns evaluate(RevVol), fDate, evaluate(cat),
#' evaluate(subcat).
#' @param cat A string.
#' @param subcat A string.
#' @param RevVol A string.
#' @param FY An integer, fiscal year.
#' @return a dataframe ready for plotting by plotTree(), columns category,
#' subcategory and total.
dataTree <- function(dat, cat, subcat, RevVol, FY) {
# need to find category and sub cat
# summarize the data
# cat <- enquo(cat)
# subcat <- enquo(subcat)
RevVol <- dplyr::sym(RevVol)
dat %>%
dplyr::filter(lubridate::year(fDate) == FY) %>%
# rename(category := !!rlang::sym(cat), DO NOT WORK WHEN CAT==SUBCAT
# subcategory := !!rlang::sym(subcat)) %>%
dplyr::mutate(category = !!dplyr::sym(cat),
subcategory = !!dplyr::sym(subcat)) %>%
# group_by_at(vars(cat, subcat)) %>%
dplyr::group_by(category, subcategory) %>%
dplyr::summarise(total = sum(!!RevVol, na.rm = T)) %>%
dplyr::ungroup() %>%
dplyr::mutate(category = tidyr::replace_na(category, "NA"),
subcategory = tidyr::replace_na(subcategory, "NA"))
}
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