wordcloud_y2: Creates a word cloud from an open end question

In nick-moffitt/y2artisan: Shortcuts for mschart and ggplot2

Creates a word cloud from an open end question

Description

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 and lighter in color

Usage

wordcloud_y2(
  dataset,
  variable,
  colors = "bluepurple",
  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 = 'bluepurple'; 4 qualtrics colors as pre-made options: "bluepurple", "lime", "teal", "brightblue". May also specify a vector of 3 scaled colors ranging from lightest to darkest
max_size	DEFAULT = 12; the largest text size for the word with the highest frequency
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'
  )
)

RED_DARK <- '#C61616'
RED_MID <- '#E38B8B'
RED_LIGHT <- '#F9E6E6'

# If you want to use a specific color, you must specify three scalar shades of that color
responses %>% wordcloud_y2(var1, font_family = "Arial")
responses %>% wordcloud_y2(var1, c(RED_LIGHT, RED_MID, RED_DARK), font_family = "Arial",)

nick-moffitt/y2artisan documentation built on July 30, 2023, 5:40 p.m.