ggrough

<script src="2018-07-05-ggrough-a-good-way-make-graphics-look-user-generated_files/libs/htmlwidgets-1.6.2/htmlwidgets.js"></script> <script src="2018-07-05-ggrough-a-good-way-make-graphics-look-user-generated_files/libs/roughjs-2.0.1/rough.min.js"></script> <script src="2018-07-05-ggrough-a-good-way-make-graphics-look-user-generated_files/libs/ggrough-binding-0.1.0/ggrough.js"></script>

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
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Citation

BibTex citation:

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

For attribution, please cite this work as:

Michael E. DeWitt. 2018. "ggrough." July 5, 2018. https://michaeldewittjr.com/articles/2018-07-05-ggrough-a-good-way-make-graphics-look-user-generated