README.md

In gvarunkumar/plotly: Create Interactive Web Graphics via 'plotly.js'

plotly

An R package for creating interactive web graphics via the open source JavaScript graphing library plotly.js.

Installation

Install from CRAN:

install.packages("plotly")

Or install the latest development version (on GitHub) via devtools:

devtools::install_github("ropensci/plotly")

Getting Started

Web-based ggplot2 graphics

If you use ggplot2, ggplotly() converts your plots to an interactive, web-based version! It also provides sensible tooltips, which assists decoding of values encoded as visual properties in the plot.

library(plotly)
g <- ggplot(faithful, aes(x = eruptions, y = waiting)) +
  stat_density_2d(aes(fill = ..level..), geom = "polygon") + 
  xlim(1, 6) + ylim(40, 100)
ggplotly(g)

If you'd like to see how ggplotly() does in converting different ggplot2 examples, we host a plotly version of the official ggplot2 documentation. We also have some of our own examples here.

plotly's custom R interface

plotly.js supports some chart types that ggplot2 doesn't (our cheatsheet provides a nice summary of the available chart types). You can create any of these charts via plot_ly().

plot_ly(z = ~volcano)

We have a number of vignettes which explain the plot_ly() interface in depth as well as numerous examples on the plotly website and bundled with the package.

Capturing plotly events

plotly.js exposes a number of 'standard' events that work consistently across plot types. It's easy to hook into these events using the event_data() function in shiny apps, as these examples demonstrate:

1. 2D events (source)
2. Linked Clicks (source)
3. Linked Brush (source)

You can also hook into these events without shiny using htmlwidgets::onRender() (example). This, however, requires JavaScript knowledge and makes it much harder to coordinate views between htmlwidgets.

Contributing

Please read through our contributing guidelines. Included are directions for opening issues, asking questions, contributing changes to plotly, and our code of conduct.

gvarunkumar/plotly documentation built on May 17, 2019, 9:29 a.m.