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https://github.com/plotly/plotly.R

An interactive graphing library for R
https://github.com/plotly/plotly.R

d3js data-visualization ggplot2 javascript plotly r r-package rstats shiny webgl

Last synced: 3 months ago
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An interactive graphing library for R

Host: GitHub
URL: https://github.com/plotly/plotly.R
Owner: plotly
License: other
Created: 2013-11-21T05:56:51.000Z (almost 11 years ago)
Default Branch: master
Last Pushed: 2024-06-07T20:10:39.000Z (5 months ago)
Last Synced: 2024-06-11T16:12:35.298Z (5 months ago)
Topics: d3js, data-visualization, ggplot2, javascript, plotly, r, r-package, rstats, shiny, webgl
Language: R
Homepage: https://plotly-r.com
Size: 107 MB
Stars: 2,514
Watchers: 115
Forks: 621
Open Issues: 685
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE

Awesome Lists containing this project

awesome-starred - plotly - An interactive graphing library for R (R)
awesome-shiny-extensions - plotly - Interactive web graphics via plotly.js. Has special support for linking/highlighting/filtering views. (Visualization / General-Purpose)
jimsghstars - plotly/plotly.R - An interactive graphing library for R (R)

README

        



[![R-CMD-check](https://github.com/ropensci/plotly/workflows/R-CMD-check/badge.svg)](https://github.com/plotly/plotly.R/actions)

[![CRAN Status](https://www.r-pkg.org/badges/version/plotly)](https://cran.r-project.org/package=plotly)

[![CRAN Downloads](https://cranlogs.r-pkg.org/badges/grand-total/plotly)](https://cranlogs.r-pkg.org/badges/grand-total/plotly)

[![monthly](https://cranlogs.r-pkg.org/badges/plotly)](https://cranlogs.r-pkg.org/badges/plotly)

An R package for creating interactive web graphics via the open source

JavaScript graphing library

[plotly.js](https://github.com/plotly/plotly.js).



  

    

  



## Installation

Install from CRAN:

``` r

install.packages("plotly")

```

Or install the latest development version (on GitHub) via `{remotes}`:

``` r

remotes::install_github("plotly/plotly")

```

## Getting started

### Web-based ggplot2 graphics

If you use [ggplot2](https://github.com/tidyverse/ggplot2), `ggplotly()`

converts your static plots to an interactive web-based version\!

``` r

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)

```

![](https://i.imgur.com/G1rSArP.gif)

By default, `ggplotly()` tries to replicate the static ggplot2 version

exactly (before any interaction occurs), but sometimes you need greater

control over the interactive behavior. The `ggplotly()` function itself

has some convenient “high-level” arguments, such as `dynamicTicks`,

which tells plotly.js to dynamically recompute axes, when appropriate.

The `style()` function also comes in handy for *modifying* the

underlying trace

attributes (e.g. [hoveron](https://plotly.com/r/reference/#scatter-hoveron)) used to generate the plot:

``` r

gg <- ggplotly(g, dynamicTicks = "y")

style(gg, hoveron = "points", hoverinfo = "x+y+text", hoverlabel = list(bgcolor = "white"))

```

![](https://imgur.com/qRvLgea.gif)

Moreover, since `ggplotly()` returns a plotly object, you can apply

essentially any function from the R package on that object. Some useful

ones include `layout()` (for [customizing the

layout](https://plotly-r.com/improving-ggplotly.html#modifying-layout)),

`add_traces()` (and its higher-level `add_*()` siblings, for example

`add_polygons()`, for [adding new

traces/data](https://plotly-r.com/improving-ggplotly.html#leveraging-statistical-output)),

`subplot()` (for [combining multiple plotly

objects](https://plotly-r.com/arranging-views.html#arranging-plotly-objects)),

and `plotly_json()` (for inspecting the underlying JSON sent to

plotly.js).

The `ggplotly()` function will also respect some “unofficial”

**ggplot2** aesthetics, namely `text` (for [customizing the

tooltip](https://plotly-r.com/controlling-tooltips.html#tooltip-text-ggplotly)),

`frame` (for [creating

animations](https://plotly-r.com/animating-views.html)),

and `ids` (for ensuring sensible smooth transitions).

### Using plotly without ggplot2

The `plot_ly()` function provides a more direct interface to plotly.js

so you can leverage more specialized chart types (e.g., [parallel

coordinates](https://plotly.com/r/parallel-coordinates-plot/) or

[maps](https://plotly.com/r/maps/)) or even some visualization that the

ggplot2 API won’t ever support (e.g., surface,

[mesh](https://plotly.com/r/3d-mesh/),

[trisurf](https://plotly.com/r/trisurf/), etc).

``` r

plot_ly(z = ~volcano, type = "surface")

```

![](https://plot.ly/~brnvg/1134.png)

## Learn more

To learn more about special features that the plotly R package provides (e.g., [client-side linking](https://plotly-r.com/client-side-linking.html), [**shiny** integration](https://plotly-r.com/linking-views-with-shiny.html), [editing and generating static images](https://plotly-r.com/publish.html), [custom events in JavaScript](https://plotly-r.com/javascript.html), and more), see . You may already be familiar with existing plotly documentation (e.g., ), which is essentially a language-agnostic how-to guide for learning plotly.js, whereas  is meant to be more wholistic tutorial written by and for the R user. The package itself ships with a number of demos (list them by running `demo(package = "plotly")`) and shiny/rmarkdown examples (list them by running `plotly_example("shiny")` or `plotly_example("rmd")`). [Carson](https://cpsievert.me) also keeps numerous [slide decks](https://talks.cpsievert.me) with useful examples and concepts.

## Contributing

Please read through our [contributing

guidelines](https://github.com/plotly/plotly.R/blob/master/CONTRIBUTING.md).

Included are directions for opening issues, asking questions,

contributing changes to plotly, and our code of

conduct.