Refactor: word cloud with `ggplot2`

[martinctc]

Currently, word clouds are created with the package ggwordcloud. There is an alternative implementation that uses only ggplot2, as shown at https://stackoverflow.com/q/47080052/5539702.

The code given is:

library(ggplot2)
library(ggrepel)

df %>%
  filter(book %in% c("Sense & Sensibility", "Pride & Prejudice",
                     "Mansfield Park", "Emma")) %>%
  ggplot(., aes(x = 1, y = 1, size = n, label = word)) +
  geom_text_repel(segment.size = 0, segment.alpha = 0) +
  scale_size(range = c(2, 15), guide = FALSE) +
  theme_void() +
  theme(panel.border = element_rect(colour = "black", fill=NA, size=1)) +
  facet_wrap(~book) +
  labs(title = "Jane Austen Word Clouds")
ggsave("jane_austen_gg.png", width = 11, height = 11)

And seems to work better aesethetically: