#' Sweden map data set, compressed version
#'
#' A dataset used to create elegant figures of Sweden with ggplot2.
#'
#' @format A data frame with 6564 rows and 5 variables. This is a filtered
#' version of swe_allpoints where all points with piece equal to "6" or larger
#' are removed (small islands) and only every thirtieth point being used (see
#' examples).
#'
#' \describe{ \item{long}{longitude, numeric} \item{lat}{latitude, numeric}
#' \item{order}{specifies the order for each point, integer} \item{piece}{"1"
#' if point belongs to mainland,
#'
#' "2" if point belongs to Gotland (largest island in Sweden),
#'
#' "3" if point belongs to Öland,
#'
#' "4" if point belongs to Orust or Tjörn,
#'
#' "5" if point belongs to Fårö} \item{group}{Each region in the map is a
#' polygon where
#'
#' "1.1" if point belongs to mainland,
#'
#' "1.2" if point belongs to Gotland (largest island in Sweden),
#'
#' "1.3" if point belongs to Öland,
#'
#' "1.4" if point belongs to Orust or Tjörn,
#'
#' "1.5" if point belongs to Fårö} }
#'
#' @examples
#' # How the data set was created
#'
#' swe_example <- dplyr::filter(swe_allpoints,
#' piece %in% c("1", "2", "3", "4", "5")) %>%
#' dplyr::filter(order %% 30 == 1) %>%
#' droplevels()
#'
#' # 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, ggplot2::aes(x=long, y=lat, group = group)) +
#' ggplot2::geom_polygon(color = "transparent", fill = "blue") +
#' ggplot2::coord_map() +
#' ggplot2::theme_minimal()
"swe"
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