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#' Get information about the datasets provided by covid19tunisia
#' @importFrom magrittr %>%
#' @import lubridate
#' @import knitr
#'
#' @return A tibble with information about where the data is pulled from, details about the dataset, what the data types are, etc.
#' @export
#'
#' @examples
#' get_info_covid19tunisia()
get_info_covid19tunisia <- function() {
latest_data <-
refresh_covid19tunisia(verbose = FALSE)
dplyr::tibble(
data_set_name = "covid19tunisia",
package_name = "covid19tunisia",
function_to_get_data = "refresh_covid19tunisia",
data_details = "Open Source data on distribution of confirmed Covid-19 cases, recovered ones and deaths in Tunisia.
For more, https://github.com/MounaBelaid/covid19datatunisia",
data_url = "https://raw.githubusercontent.com/MounaBelaid/covid19datatunisia/master/dist/data.csv",
license_url = "https://github.com/MounaBelaid/covid19datatunisia/blob/master/LICENSE",
data_types =
latest_data %>%
tidyr::drop_na(data_type) %>%
dplyr::pull(data_type) %>%
unique() %>%
stringr::str_c(collapse = ", "),
location_types =
latest_data %>%
tidyr::drop_na(location_type) %>%
dplyr::pull(location_type) %>%
unique() %>%
stringr::str_c(collapse = ", "),
spatial_extent = "country",
has_geospatial_info = FALSE
)
}
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