Creates a new Datawrapper Symbol Map

Creates and returns a new Datawrapper Symbol map object. This function starts the map-making process

dw_create_symbol_map(
  basemap_id,
  lat_col,
  lon_col,
  color_col = "",
  size_col = "",
  shape = "",
  api_key = "environment",
  title = "",
  tooltip = list(title, body, fields = c()),
  folderId = ""
)

Arguments

basemap_id	Required. Can be retrieved by looking at dw_basemaps.
lat_col	Required. Which column contains the Latitude values to be plotted on the map?
lon_col	Required. Which column contains the Latitude values to be plotted on the map?
color_col	Optional. Which column contains the values that should determine the color.
size_col	Optional. Which column contains the values that should determine the size.
shape	Optional. Select a shape. Defaults to circle.
api_key	Required. A Datawrapper-API-key as character string. Defaults to "environment" - tries to automatically retrieve the key that's stored in the .Reviron-file by datawrapper_auth.
title	Optional. Will set a map's title on creation.
tooltip	Optional. Specify a list including these vectors: title, body, fields. Include all used variables in fields. Use " variable name " as placeholders in title and body.
folderId	Optional. Creates chart in specified folder.

Value

It prints the new chart's id and returns a S3-structure of type dw_chart with the elements from the Datawrapper-API, the same as in dw_retrieve_chart_metadata. After creating the chart you can populate and update it with dw_data_to_metadata

Note

If not specified, the new chart will by default be created without a title.

Author

Benedict Witzenberger

Examples

## Simple example:

if (FALSE) {

dw_create_symbol_map(
basemap_id = "world-2019",
basemap_value = "DW_STATE_CODE",
lat_col = "LAT",
lon_col = "LONG"
)

## Include a tooltip:

dw_create_choropleth_map(
basemap_id = "world-2019",
basemap_value = "DW_STATE_CODE",
value_cols = "percentage",
key_cols = "iso_codes",
tooltip = list(
title = "{{ State_Name }}",
body = "In {{ State_Name }} the value is {{percentage}} percent.",
fields = c("State_Name", "percentage")
))

}