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Generate a word cloud for excerpts by code

Source: R/wordcloud.R
wordcloud.Rd

Creates a word cloud of words from all excerpts where a given code is applied. Common English stop words, user-supplied stop words, and punctuation are removed.

Usage

wordcloud(data, code, max_words = 100, custom_stopwords = NULL)

Arguments

data

A data.frame or tibble containing at least one excerpt column and one or more code columns starting with "c_".

code

A string giving the name of the code column to filter on (e.g. "c_belonging").

max_words

Maximum number of words to display in the word cloud (default = 100).

custom_stopwords

A character vector of additional stop words to remove (default = NULL).

Value

An interactive word cloud (from wordcloud2).

Examples

library(dplyr)
df <- tibble::tibble(
  excerpt = c(
    "I felt connected to peers and friends.",
    "We should normalize conversations about mental health.",
    "My teachers helped me belong at school.",
    "I am comfortable talking about suicide prevention."
  ),
  c_belonging = c(TRUE, FALSE, TRUE, FALSE),
  c_destigmatization = c(FALSE, TRUE, FALSE, FALSE)
)

# Word cloud for belonging excerpts
wordcloud(df, "c_belonging")



# With custom stop words
wordcloud(df, "c_belonging", custom_stopwords = c("connected", "school"))