Trelliscope is a scalable, flexible, interactive approach to visualizing data. The trelliscopejs R package provides methods that make it easy to create a Trelliscope display specification for the Trelliscope JavaScript library trelliscopejs-lib. High-level functions are provided for creating displays from within dplyr (via summarise()
) or ggplot2 (via facet_trelliscope()
) workflows. Low-level functions are also provided for creating new interfaces.
To install the latest development version:
# install.packages("remotes") # if "remotes" is not already installed
devtools::install_github("hafen/trelliscopejs")
Here is a simple example using the ggplot2 interface. Using trelliscopejs in this way is as easy as swapping facet_wrap()
with facet_trelliscope()
and specifying some additional options.
Please see the package vignettes for more.
library(trelliscopejs)
library(ggplot2)
library(gapminder)
qplot(year, lifeExp, data = gapminder) +
xlim(1948, 2011) + ylim(10, 95) + theme_bw() +
facet_trelliscope(~ country + continent, nrow = 2, ncol = 7, width = 300)