#' Sweden map data set with county included
#'
#' @format A data frame with 434288 rows and 8 variables. The negligible
#' variables have been removed from the original data set: \describe{
#' \item{id}{id of county, character} \item{long}{longitude, numeric}
#' \item{lat}{latitude, numeric} \item{order}{specifies the order for each
#' point, integer} \item{piece}{"1" for the most essential, "2" and more for
#' detailed points (Öland, Orust, and Tjörn included in "2"), factor}
#' \item{group}{Each region or island in the map is a polygon where each level
#' in this variable is a polygon, factor} \item{NAME_1}{name of county,
#' character} \item{VARNAME_1}{alternative name of county, character} }
#'
#' @examples
#'
#' # Example on how to make map of Sweden using ggplot2.
#' # Note that coord_map() is essential for the map to be in actual scale.
#'
#' ggplot2::ggplot(data = swe_landsting_allpoints, ggplot2::aes(x=long, y=lat, group = group)) +
#' ggplot2::geom_polygon(color = "white", size = 0, fill = "blue") +
#' ggplot2::coord_map() +
#' ggplot2::theme_minimal()
"swe_landsting_allpoints"
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