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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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.