ggrough

So I came across another ggplot2 package which I like. It bootstraps off of a javascript library called roughjs. I like that you can make graphs and charts that look handdrawn. This is a great feature when doing data communication. It makes the look less clinical which might be a good tactic when doing a data visualisation clinic where the focus is on the chart type and how it communicates.

Warm and friendly is a good approach when doing these types of trainings with graphical neophytes.

The package information is here

Some examples of their code are below:

library(tidyverse)
library(ggrough)

count(mtcars, carb) %>%
  ggplot(aes(carb, n)) +
  geom_col() + 
  labs(title="Number of cars by carburator count") + 
  theme_grey(base_size = 16) -> p 
p

options <- list(
  Background=list(roughness=8),
  GeomCol=list(fill_style="zigzag", angle_noise=0.5, fill_weight=2))
p2<-get_rough_chart(p, options)
p2

@online{dewitt2018,
  author = {Michael DeWitt},
  title = {Ggrough},
  date = {2018-07-05},
  url = {https://michaeldewittjr.com/programming/2018-07-05-ggrough-a-good-way-make-graphics-look-user-generated},
  langid = {en}
}