<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/find-modern-interactive-web-based-charts-for-r-at-the-htmlwidgets-gallery/"></div></div><div></div></div><div></div></div>
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(This article was first published on <strong><a href="http://blog.revolutionanalytics.com/2017/03/htmlwidgets-gallery.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>While R's base graphics library is almost limitlessly flexible when it comes to create static graphics and data visualizations, new Web-based technologies like <a target="_blank" rel="nofollow" href="https://d3js.org/">d3</a> and <a target="_blank" rel="nofollow" href="https://get.webgl.org/">webgl</a> open up new horizons in high-resolution, rescalable and interactive charts. Graphics built with these libraries can easily be embedded in a webpage, can be dynamically resized while maintaining readable fonts and clear lines, and can include interactive features like hover-over data tips or movable components. And thanks to <a target="_blank" rel="nofollow" href="http://www.htmlwidgets.org/">htmlwidgets for R</a>, you can easily create a variety of such charts using R data and functions, explore them in an interactive R session, and include them in Web-based applications for others to experience.</p>
<p>This <a target="_blank" rel="nofollow" href="http://www.htmlwidgets.org/showcase_leaflet.html">htmlwidgets showcase</a> allows you to try out a few such charts, but to see the full diversity of charts available check out the new <a target="_blank" rel="nofollow" href="http://gallery.htmlwidgets.org/">htmlwidgets gallery</a>. It's an index of packages on CRAN and on Github that create htmlwidgets visualizations. (Be sure to turn OFF the &quot;CRAN Only&quot; switch in the top-right corner to see the full range available.)</p>
<p><a target="_blank" rel="nofollow" href="http://gallery.htmlwidgets.org/"><img title="Htmlwidgets" alt="Htmlwidgets" src="http://revolution-computing.typepad.com/.a/6a010534b1db25970b01b7c8dc4429970b-800wi" border="0"></a></p>
<p>There's a huge range of charts to explore, including <a target="_blank" rel="nofollow" href="http://rstudio.github.io/leaflet/">scrollable geographic maps</a>, <a target="_blank" rel="nofollow" href="https://github.com/rstudio/d3heatmap">heat maps</a>, <a target="_blank" rel="nofollow" href="https://github.com/lchiffon/wordcloud2">word clouds</a>, <a target="_blank" rel="nofollow" href="http://hrbrmstr.github.io/streamgraph/">streamgraphs</a>, <a target="_blank" rel="nofollow" href="https://github.com/jcheng5/bubbles">bubble charts</a> and much much more. There are also general interfaces to interactive graphics systems like <a target="_blank" rel="nofollow" href="https://plot.ly/r/">Plotly</a> and <a target="_blank" rel="nofollow" href="https://hafen.github.io/rbokeh/">Bokeh</a>. Browse around the gallery to find a chart of interest, click to find the associated R package, install it, and get visualizing!</p>
<p>By the way, while interactive charts are great for hands-on applications, they're not necessarily so helpful for printed reports or presentations. If you're looking for R graphics of the static variety, check out the <a target="_blank" rel="nofollow" href="http://blog.revolutionanalytics.com/2016/10/the-r-graph-gallery-is-back.html">R Graph Gallery</a>. But if interactive and Web-enabled is your thing, check out the link below. </p>
<p>htmlwidgets for R: <a target="_blank" rel="nofollow" href="http://gallery.htmlwidgets.org/">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/2017/03/htmlwidgets-gallery.html"> Revolutions</a></strong>.</div>
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