Creates a word cloud from an open end question — wordcloud_mono

Finds the frequencies of each word in an open end question and creates a word cloud based on the frequencies. Words mentioned less are smaller

Usage

wordcloud_mono_y2(
  dataset,
  variable,
  colors = "#474E7E",
  max_size = 12,
  min_size = 1,
  font_family = "Flama",
  top_x = 50
)

Arguments

dataset: no default. Usually piped in from your main dataset
variable: The name of the openended variable from your dataset you want to look at
colors: DEFAULT = '#474E7E' (bluepurple from Qualtrics template). All words are the same color. Any color may be specified as a hexcode
max_size: DEFAULT = 12; the largest text size for the word with the highest frequency#' @keywords openend open end wordcloud word cloud
min_size: DEFAULT = 1; the smallest text size for the word with the lowest frequency
font_family: DEFAULT = 'Flama'; all fonts used need to be previously loaded in using the font_add() and showtext_auto() functions
top_x: DEFAULT = 50; Shows the top X most commonly mentioned words you want to see from the open-end

Examples

responses <- tibble::tibble(
  var1 = c(
    'I like to talk about dogs',
    'Dogs are cool but cats are aight too',
    'I prefer dogs over cats',
    "My dog's collars are always too tight",
    'One last sentence about dogs',
    'Cats collars are typically cooler than dogs'
  )
)

responses %>% wordcloud_mono_y2(var1, font_family = "Arial")
#> Error in wordcloud_mono_y2(., var1, font_family = "Arial"): The font you specified in the 'font_family' argument does not exist in your R session
responses %>% wordcloud_mono_y2(var1, 'red', font_family = "Arial")
#> Error in wordcloud_mono_y2(., var1, "red", font_family = "Arial"): The font you specified in the 'font_family' argument does not exist in your R session