ggwordcloud provides a word cloud text geom for ggplot2. The
placement algorithm implemented in C++ is an hybrid between the one of
wordcloud and the one of wordcloud2.js. The cloud can grow according
to a shape and stay within a mask. The size aesthetic is used either to
control the font size or the printed area of the words. ggwordcloud
also supports arbitrary text rotation. The faceting scheme of ggplot2
can also be used. Two functions meant to be the equivalent of
wordcloud and wordcloud2 are proposed. Last but not least you can
use gridtext markdown/html syntax in the labels.
You can install the released version of ggwordcloud from CRAN with:
install.packages("ggwordcloud")or the development version from the github repository
devtools::install_github("lepennec/ggwordcloud")Please check the latest development version before submitting an issue.
Because sometimes, pictures are better than a thousand words…
library(ggwordcloud)
#> Loading required package: ggplot2
data("love_words_small")
set.seed(42)
ggplot(love_words_small, aes(label = word, size = speakers)) +
geom_text_wordcloud() +
scale_size_area(max_size = 40) +
theme_minimal()
data("love_words")
set.seed(42)
ggplot(
love_words,
aes(
label = word, size = speakers,
color = speakers
)
) +
geom_text_wordcloud_area(aes(angle = 45 * sample(-2:2, nrow(love_words),
replace = TRUE,
prob = c(1, 1, 4, 1, 1)
)),
mask = png::readPNG(system.file("extdata/hearth.png",
package = "ggwordcloud", mustWork = TRUE
)),
rm_outside = TRUE
) +
scale_size_area(max_size = 40) +
theme_minimal() +
scale_color_gradient(low = "darkred", high = "red")
#> Some words could not fit on page. They have been removed.
library(dplyr, quietly = TRUE, warn.conflicts = FALSE)
library(tidyr, quietly = TRUE)
set.seed(42)
ggplot(
love_words_small %>%
gather(key = "type", value = "speakers", -lang, -word) %>%
arrange(desc(speakers)),
aes(label = word, size = speakers)
) +
geom_text_wordcloud_area() +
scale_size_area(max_size = 40) +
theme_minimal() +
facet_wrap(~type)
set.seed(42)
ggplot(love_words_small, aes(label = word, size = speakers,
label_content = sprintf("%s<span style='font-size:7.5pt'>(%g)</span>", word, speakers))) +
geom_text_wordcloud_area() +
scale_size_area(max_size = 40) +
theme_minimal()
More examples are available in the vignette.