map: Choropleth

In echarts4r: Create Interactive Graphs with 'Echarts JavaScript' Version 5

Choropleth

Description

Draw maps.

Usage

e_map(e, serie, map = "world", name = NULL, rm_x = TRUE, rm_y = TRUE, ...)

e_map_(
  e,
  serie = NULL,
  map = "world",
  name = NULL,
  rm_x = TRUE,
  rm_y = TRUE,
  ...
)

e_svg(e, serie, map = "world", name = NULL, rm_x = TRUE, rm_y = TRUE, ...)

e_svg_(
  e,
  serie = NULL,
  map = "world",
  name = NULL,
  rm_x = TRUE,
  rm_y = TRUE,
  ...
)

e_map_3d(
  e,
  serie,
  map = "world",
  name = NULL,
  coord_system = NULL,
  rm_x = TRUE,
  rm_y = TRUE,
  ...
)

e_map_3d_(
  e,
  serie = NULL,
  map = "world",
  name = NULL,
  coord_system = NULL,
  rm_x = TRUE,
  rm_y = TRUE,
  ...
)

e_map_3d_custom(
  e,
  id,
  value,
  height,
  map = NULL,
  name = NULL,
  rm_x = TRUE,
  rm_y = TRUE,
  ...
)

Arguments

e	An echarts4r object as returned by e_charts or a proxy as returned by echarts4rProxy.
serie	Values to plot.
map	Map type.
name	name of the serie.
rm_x, rm_y	Whether to remove x and y axis, defaults to TRUE.
...	Any other option to pass, check See Also section.
coord_system	Coordinate system to use, one of cartesian3D, geo3D, globe.
id, value, height	Columns corresponding to registered map.

See Also

e_country_names, Additional map arguments, Additional map 3D arguments

Examples

## Not run: 
choropleth <- data.frame(
  countries = c(
    "France",
    "Brazil",
    "China",
    "Russia",
    "Canada",
    "India",
    "United States",
    "Argentina",
    "Australia"
  ),
  values = round(runif(9, 10, 25))
)

choropleth |>
  e_charts(countries) |>
  e_map(values) |>
  e_visual_map(min = 10, max = 25)

choropleth |>
  e_charts(countries) |>
  e_map_3d(values, shading = "lambert") |>
  e_visual_map(min = 10, max = 30)

# custom
buildings <- jsonlite::read_json(
  paste0(
    "https://echarts.apache.org/examples/",
    "data-gl/asset/data/buildings.json"
  )
)

heights <- purrr::map(buildings$features, "properties") |>
  purrr::map("height") |>
  unlist()

names <- purrr::map(buildings$features, "properties") |>
  purrr::map("name") |>
  unlist()

data <- dplyr::tibble(
  name = names,
  value = round(runif(length(names), 0, 1), 6),
  height = heights / 10
)

data |>
  e_charts() |>
  e_map_register("buildings", buildings) |>
  e_map_3d_custom(name, value, height) |>
  e_visual_map(
    show = FALSE,
    min = 0.4,
    max = 1
  )

# timeline
choropleth <- data.frame(
  countries = rep(choropleth$countries, 3)
) |>
  dplyr::mutate(
    grp = c(
      rep(2016, nrow(choropleth)),
      rep(2017, nrow(choropleth)),
      rep(2018, nrow(choropleth))
    ),
    values = runif(27, 1, 10)
  )

choropleth |>
  group_by(grp) |>
  e_charts(countries, timeline = TRUE) |>
  e_map(values) |>
  e_visual_map(min = 1, max = 10)

choropleth |>
  group_by(grp) |>
  e_charts(countries, timeline = TRUE) |>
  e_map_3d(values) |>
  e_visual_map(min = 1, max = 10)

## End(Not run)

echarts4r documentation built on July 9, 2023, 7:26 p.m.