An R package for creating interactive web-based graphs via plotly's JavaScript graphing library.
Install from CRAN:
install.packages("plotly")Or install the latest development version (on GitHub) via devtools:
devtools::install_github("ropensci/plotly")If you use ggplot2, use ggplotly() to convert your ggplot to an interactive, web-based version!
library(plotly)
set.seed(100)
d <- diamonds[sample(nrow(diamonds), 1000), ]
p <- ggplot(data = d, aes(x = carat, y = price)) +
geom_point(aes(text = paste("Clarity:", clarity))) +
geom_smooth(aes(colour = cut, fill = cut)) + facet_wrap(~ cut)
(gg <- ggplotly(p))
Click here to interact with the resulting graph (notice the custom hover text!)
plotly also supports certain chart types that ggplot2 doesn't support (such as 3D surface, point, and line plots). You can easily create these (or any other plotly) charts using the high-level interface.
plot_ly(z = volcano, type = "surface")
The ggplotly() function converts a ggplot object to a plotly object, so if you like, you may 'post-process' your ggplot graphs to add custom plotly features, for example:
layout(gg, hovermode = "closest")- An introduction to plotly's R API
- Examples and vignettes on plotly's R homepage - https://plot.ly/r
- The complete figure reference guide - https://plot.ly/r/reference
Please read through our contributing guidelines. Included are directions for opening issues, asking questions, contributing changes to plotly, and our code of conduct.
