Nothing
#' Extract dates from character columns
#'
#' Some data is stored in the IPC API as from/to columns. with different
#' formats. We extract the date into data format. Used in [ipc_get_country()]
#' and [ipc_get_areas()].
#'
#' @noRd
extract_dates <- function(
df,
from_col,
to_col
) {
# only make changes if all the columns exist in the data frame
if (all(c(from_col, to_col) %in% names(df))) {
# remove warnings for parsing NA cells
has_dates <- !is.na(df[[from_col]]) & df[[from_col]] != ""
# start date
df[has_dates, "analysis_period_start"] <- lubridate::floor_date(
x = lubridate::dmy(paste("15", df[[from_col]][has_dates])),
unit = "month"
)
# end date
df[has_dates, "analysis_period_end"] <- lubridate::ceiling_date(
x = lubridate::dmy(paste("15", df[[to_col]][has_dates])),
unit = "month"
) - lubridate::days(1)
# move the columns around
df <- dplyr::relocate(
df,
dplyr::starts_with("analysis_period_"),
.after = "to"
)
}
df
}
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.