The goal of gganonymize is to anonymize the labels and text in a ggplot2 object in such a way that vizualizations about sensitive information can more easily be shared and critiqued.
You can install the development version from Github using devtools:
# install.packages("devtools")
devtools::install_github("EmilHvitfeldt/gganonymize")gganonymize will replace the text in the title, subtitle, caption and
tag with similar length text while ignoring numerics.
library(ggplot2)
library(gganonymize)
ggg <- ggplot(mtcars, aes(as.factor(cyl))) +
geom_bar() +
labs(title = "Test title",
subtitle = "Test subtitle, this one have a lot lot lot lot lot more text then the rest",
caption = "Test caption",
tag = 1) +
facet_wrap(~vs)
gganonomize(ggg)
It will respect names of of columns used in multiple settings such that the legend will match.
ggg <- ggplot(mtcars, aes(mpg, disp, color = disp, shape = factor(am))) +
geom_point()
gganonomize(ggg)
Likewise will it sepect names in character/factor variables.
ggg <- ggplot(mpg, aes(class, fill = class)) +
geom_bar() +
labs(title = "Super sensitive title",
subtitle = "This part is even more sensitive, I hope no one will get to read it")
gganonomize(ggg)
and in facet labels.
ggg <- ggplot(mpg, aes(cty, displ, color = class)) +
geom_point() +
facet_wrap(~ class)
gganonomize(ggg)
This also extends to geom_label,
ggg <- ggplot(iris, aes(Sepal.Length, Sepal.Width, label = Species)) +
geom_label()
gganonomize(ggg)
and geom_text.
ggg <- ggplot(iris, aes(Sepal.Length, Sepal.Width, label = Species)) +
geom_text()
gganonomize(ggg)
ggg <- ggplot(mtcars, aes(as.factor(cyl))) +
geom_bar() +
labs(title = "Test title",
subtitle = "Test subtitle, this one have a lot lot lot lot lot more text then the rest",
caption = "Test caption",
tag = 1) +
facet_wrap(~vs)
mtcarsize(ggg)