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Plotly R Library

Plotly's R graphing library makes interactive, publication-quality graphs online. Examples of how to make line plots, scatter plots, area charts, bar charts, error bars, box plots, histograms, heatmaps, subplots, multiple-axes, polar charts and bubble charts.

Version 4:

We've recently released version 4 of our package on CRAN. Checkout this post for more information about changes and features available in this version!

d <- diamonds[sample(nrow(diamonds), 1000), ]
plot_ly(d, x = ~carat, y = ~price, color = ~carat,
        size = ~carat, text = ~paste("Clarity: ", clarity))

Plotly graphs are interactive:

Click-drag to zoom, shift-click to pan, double-click to autoscale.

ggplot2 Integration:

Know and love ggplot2? Try ggplotly

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)


3D WebGL and more!

Although data frames can be thought of as the central object in this package, plotly visualizations don't actually require a data frame. This makes chart types that accept a z argument especially easy to use if you have a numeric matrix:

plot_ly(z = ~volcano, type = "surface")
Basic Charts
Statistical Charts
Scientific Charts
Financial Charts
3D Charts
Multiple Axes, Subplots, and Insets
Add Custom Controls
Layout & Style Options
File Settings
Add Custom Controls with JavaScript

All Plotly charts have click, hover and zoom events exposed to add custom controls with Plotly's JavaScript postMessage API.

Image Export & Retrieving Plots
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