wordcloud_map: wordcloud_map

In GabZech/wordcloud.mappeR: A package for creating wordcloud maps in R

Description

Plot a map with wordclouds for the selected NUTS level and its regions.

Usage

wordcloud_map(
  dataframe,
  country,
  level_nuts,
  name_column_words,
  name_column_frequency,
  name_column_nuts,
  max_word_size = 4,
  rm_outside = TRUE,
  scale = "10",
  png_path = "False"
)

Arguments

dataframe	The dataframe containing the input data.
country	The corresponding ISO 3166-2 code of the chosen country. See wikipedia.org/wiki/ISO_3166-1_alpha-3 for a list of all country codes.
level_nuts	The NUTS level to which the NUTS codes correspond. Must be either '1', '2' or '3'.
name_column_words	The name of the column in 'dataframe' containing the words.
name_column_frequency	The name of the column in 'dataframe' containing the frequencies.
name_column_nuts	The name of the column in 'dataframe' containing the NUTS codes.
max_word_size	The maximum size of the words in the wordcloud. At the minimum value '1' all the words are equally sized. Default is '4'.
rm_outside	Whether to remove words that could not be fitted in the wordcloud area. If set to 'FALSE', these words will be stacked on top of each other at the centre of each region. Default is 'TRUE'.
scale	The desired scale of the regions to be used as the shape of the wordcloud. Must be either '"03"', '"10"', '"20"' or '"60"'. Default is '"10"'.
png_path	Path where the png image will be saved to, keeping the original aspect ratio of the country. Default is '"False"'.

Value

A ggplot object with the wordclouds for each region present in 'dataframe'.

Examples

## Not run: 
companies_DEU <- data("companies_DEU")
wordcloud_map(companies_DEU, "DEU", 1, "name", "employees", "code")

companies_ITA <- data("companies_ITA")
wordcloud_map(companies_ITA, "ITA", 2, "name", "employees", "code", max_word_size = 10, rm_outside = F)

## End(Not run)

GabZech/wordcloud.mappeR documentation built on Dec. 23, 2021, 11:11 p.m.