Package
ggimage (Yu 2023)
Description
Visualise data through images.
Understandable aesthetics
image
See also
Example
library("ggimage")
df <- data.frame(x = rnorm(10),
y = rnorm(10),
image = sample("https://www.r-project.org/logo/Rlogo.png",
size=10, replace = TRUE))
ggplot(df, aes(x, y)) + geom_image(aes(image=image))
Example
library("ggimage")
df <- data.frame(x = rnorm(10),
y = rnorm(10))
df$icon = sample(c('ios-power', 'ios-wifi', 'ios-pie'), 10, replace=TRUE)
ggplot(df, aes(x, y)) + geom_icon(aes(image=icon))Package
ggiraph (ggiraph?)
Description
Adds interactive features like tooltips and hyperlinks, allowing for dynamic exploration of jittered data points in a plot.
Understandable aesthetics
required aesthetics
x
y
optional aesthetics
alpha, colour, group, linetype, linewidth
See also
Example
library(ggiraph)
p <- ggplot(worldbankdata, aes(y = Region, x = Electricity, color = Income)) +
geom_jitter_interactive(aes(tooltip = paste("Country:", Country,
"<br>Year:", Year,
"<br>Electricity:", Electricity)),
size = 2, width = 0.3) +
labs(title = "Electricity by region and income group",
y = "Region",
x = "Electricity",
color = "Income group")
x <- girafe(ggobj = p)
if( interactive() ) print(x)