<p><div><div><div><div data-width="100" data-show-faces="false" data-send="true" data-layout="button_count" data-height="21" data-href="https://www.r-bloggers.com/the-new-r-graph-gallery/"></div></div><div><a data-url="https://www.r-bloggers.com/the-new-r-graph-gallery/" data-counturl="https://www.r-bloggers.com/the-new-r-graph-gallery/" data-count="horizontal" data-text="The new R Graph Gallery" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>
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(This article was first published on <strong><a href="http://blog.revolutionanalytics.com/2016/10/the-r-graph-gallery-is-back.html"> Revolutions</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
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<p>Once upon a time, there was the <a target="_blank" rel="nofollow" href="http://blog.revolutionanalytics.com/2009/01/r-graph-gallery.html">original R Graph Gallery</a>, by Romain François. Sadly, it's been unavailable for several years. Now there's a <a target="_blank" rel="nofollow" href="http://www.r-graph-gallery.com/">new R Graph Gallery</a> to fill the void, created by Yan Holtz. It contains more than 200 data visualizations categorized by type, along with the R code that created them.</p>
<p>You can browse the gallery by types of chart (boxplots, maps, histograms, interactive charts, 3-D charts, etc), or search the chart descriptions. Once you've found a chart you like, you can admire it in the gallery (and interact with it, if possible), and also find the R code which you can adapt for your own use. Some entries even include mini-tutorials describing how the chart was made. You can even <a target="_blank" rel="nofollow" href="http://www.r-graph-gallery.com/propose_page/">submit your own graph</a>, if you'd like to have it displayed in the gallery as well.</p>
<p><a target="_blank" rel="nofollow" href="http://www.r-graph-gallery.com/182-add-circles-rectangles-on-leaflet-map/"><img title="Gallery" alt="Gallery" src="http://revolution-computing.typepad.com/.a/6a010534b1db25970b01b8d22f01fa970c-800wi" border="0"></a></p>
<p>It also includes a number of graphics that are not data visualizations, but rather <a target="_blank" rel="nofollow" href="http://www.r-graph-gallery.com/portfolio/data-art/">Data Art</a>: artistic creations based on data and/or code, including this neat <a target="_blank" rel="nofollow" href="http://www.r-graph-gallery.com/144-droid-bb-8-data-art/">rendering of BB-8 in R code</a>. Sadly it doesn't include any examples from the <a target="_blank" rel="nofollow" href="http://blog.revolutionanalytics.com/2014/07/accidental-art.html">Accidental aRt</a> collection, nor this new Dadaism from Stephen Turner.</p>
<blockquote data-lang="en" class="twitter-tweet">
<p dir="ltr" lang="en">What the 2016 electoral map would look like if I made it in <a target="_blank" rel="nofollow" href="https://twitter.com/hashtag/Rstats?src=hash">#Rstats</a> on the first try <a target="_blank" rel="nofollow" href="https://t.co/XOfQq3oX4t">pic.twitter.com/XOfQq3oX4t</a></p>
<p>— Stephen Turner (@genetics_blog) <a target="_blank" rel="nofollow" href="https://twitter.com/genetics_blog/status/787292116607234048">October 15, 2016</a></p></blockquote>
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<p>If you're looking for some R code to adapt for a visualization, or just looking for inspiration, take a look at the <a target="_blank" rel="nofollow" href="http://www.r-graph-gallery.com/">R Graph Gallery</a>.</p>
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<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://blog.revolutionanalytics.com/2016/10/the-r-graph-gallery-is-back.html"> Revolutions</a></strong>.</div>
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