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#' Get the most recent summary data
#'
#' Runs a GET request of summary data from the COVID-19 tracker API, and
#' returns parsed data.
#' Via the `split` argument, data my be "overall" (all provinces/territories
#' combined), by "province" (one row per province/territory) or by "region"
#' (one row per health region).
#'
#' @param split One of "overall", "province", or "region" to specify how the
#' data is split.
#'
#' @return A data frame containing the summary data.
#' @export
#'
#' @examples
#'
#' get_summary()
#' get_summary("province")
#' get_summary("region")
#' @importFrom dplyr bind_rows bind_cols mutate across
#' @importFrom tidyselect matches
#' @importFrom rlang .data
get_summary <- function(split = c("overall", "province", "region")) {
split <- match.arg(split)
base_url <- "https://api.covid19tracker.ca/summary"
split_path <- switch(split,
overall = "",
province = "/split",
region = "/split/hr"
)
url <- paste0(base_url, split_path)
content_parsed <- get_content_parsed(url)
dplyr::bind_cols(
content_parsed["last_updated"],
dplyr::bind_rows(content_parsed$data)
) %>%
dplyr::mutate(
dplyr::across(tidyselect::matches("^change|total"), as.integer),
dplyr::across(tidyselect::matches("latest_date"), as.Date),
last_updated = as.POSIXct(.data$last_updated,
tz = "America/Regina")
)
}
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