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install.packages("devtools") # windows users install Rtools. Also: for mac and linux.
library("devtools")
install_github("ropensci/plotly")  # Plotly is part of the super cool rOpenSci.

library(plotly)  # install libraries we’ll be using
library(ggplot2)
library(reshape)

py <- plotly("ggplot2examples", "3gazttckd7")  # sign up (https://plot.ly/ssi/) and get a key  or use our public key to initiate a graph object

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<a href = "https://plot.ly/">Plotly</a> is an online graphing and analytics platform. It's a place where you can analyze data, make and share beautiful graphs, and discover content you love. It's also a community. In this post, we'll be highlighting a few of our favorite user graphs, and showing some of the key features available in Plotly. We'd love to hear your thoughts, suggestions and feedback. We're at <a href = "http://twitter.com/plotlygraphs">@plotlygraphs</a>.
<br>
<br>
First up we'll show a histogram from <a href = "http://www.alexharrisonparker.com/">Alex Parker</a>. The graph shows the number of Google results for the word "space" with different numbers of a's. 55 and 96 are popular, with Google showing 2,970 results for space spelled with 96 a's.  If you hover your mouse over a point or click and drag to zoom in, you can learn more.
<br>
<br>
<div class = "iframe_container">
<iframe src="https://plot.ly/~alexhp/61/650/550" width="650" height=550" frameBorder="0" seamless="seamless" scrolling="no"