Create waffle charts in R in a ggplot2-friendly way.
ggwaffle is designed to work in a very similar way to the original waffle package, while being slightly closer to the workflow of a standard ggplot graphic. Consequently, it is a little more verbose.
Currently only available through github:
# install.packages("devtools") devtools::install_github("liamgilbey/ggwaffle")
ggwaffle heavily relies on the usage of ggplot2. Much like standard ggplot graphs, waffle charts are created by adding layers to a base graphic. Because of the inner mechanisms of ggplot2, some of the necessary data transformations have to be completed outside of a standard plot creation. The function
waffle_iron has been added to help with issue.
ggwaffle also introduces a column mapping function,
aes_d. At this stage I have no idea of how useful this is outside the context of the package, but it seemed a nice way to specifty dynamic column renamiing.
aes_d is obviously coined from ggplot’s
aes function and has a very similar idea. Here we are mapping column names to feed into a function so they can be renamed for used appropriately.
library(ggwaffle) waffle_data <- waffle_iron(mpg, aes_d(group = class)) ggplot(waffle_data, aes(x, y, fill = group)) + geom_waffle()
Functions have also been included to make the default graphics more visually appealling.
theme_waffle is a ggplot theme that strips back a lot of the elements of the waffle to create a cleaner look.
scale_fill_waffle returns a discrete scale to make your charts look a lot like waffles. Using
coord_equal is recommended to make the size of the blocks even in all dimensions.
iris$Species <- as.character(iris$Species) waffle_data <- waffle_iron(iris, aes_d(group = Species)) ggplot(waffle_data, aes(x, y, fill = group)) + geom_waffle() + coord_equal() + scale_fill_waffle() + theme_waffle()
The best way to implement icons into waffle charts is to use Guangchuang YU’s emojifont package.
library(emojifont) library(dplyr) iris$Species <- as.character(iris$Species) waffle_data <- waffle_iron(iris, aes_d(group = Species)) %>% mutate(label = fontawesome('fa-twitter')) ggplot(waffle_data, aes(x, y, colour = group)) + geom_text(aes(label=label), family='fontawesome-webfont', size=4) + coord_equal() + scale_colour_waffle() + theme_waffle()