<p><div><div><div><div data-width="100" data-show-faces="false" data-send="true" data-layout="button_count" data-height="21" data-href="http://www.r-bloggers.com/free-e-book-effective-graphs-with-microsoft-r-open/"></div></div><div><a data-url="http://www.r-bloggers.com/free-e-book-effective-graphs-with-microsoft-r-open/" data-counturl="http://www.r-bloggers.com/free-e-book-effective-graphs-with-microsoft-r-open/" data-count="horizontal" data-text="Free e-book: Effective Graphs with Microsoft R Open" 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/2016/05/e-book-effective-graphs.html"> Revolutions</a></strong>, and kindly contributed to <a rel="nofollow" href="http://www.r-bloggers.com/">R-bloggers)</a> </div>
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<p>R <a target="_blank" href="http://www.joyce-robbins.com/wp-content/uploads/2016/04/effectivegraphsmro1.pdf"><img title="Effective graphs cover" alt="Effective graphs cover" src="http://a4.typepad.com/6a0105360ba1c6970c01b8d1e271d4970c-250wi"></a> is a powerful system for creating data visualizations. In fact, R gives you so many options for creating charts that it can be hard to know the <em>best</em> way to communicate effectively. To help you present your data as effectively as possible using R, there's a new (and free) e-book available to download: <em><a target="_blank" href="http://www.joyce-robbins.com/wp-content/uploads/2016/04/effectivegraphsmro1.pdf">Effective Graphs with Microsoft R Open</a></em>. Written by the mother-daughter team of Naomi Robbins (author of <em><a target="_blank" href="http://www.nbr-graphs.com/resources/recommended-books/">Creating More Effective Graphs</a></em> and <a target="_blank" href="http://www.forbes.com/sites/naomirobbins/">Forbes contributor</a>) and <a target="_blank" href="http://www.joyce-robbins.com/">Joyce Robbins</a> (sociologist and R programmer specializing in data visualization)</p>
<p>The book gives plenty of examples of common (and some not-so-common) data visualizations, with suggestions on how to customize them for the best effect. All of the R code for the charts in included in the book, and also <a target="_blank" href="https://github.com/nbrgraphs/mro">available on GitHub</a> for easy copy-pasting. The chart types discussed include:</p>
<ul>
<li>Charts for making comparisons: bar charts and dot charts</li>
<li>Visualizations of distributions: histograms and box plots</li>
<li>Charting trends over time: line charts and month plots</li>
<li>Visualizing relationships: scatterplots, scatterplot matrices, and parallel coordinate plots</li>
<li>Dividing a whole into parts: (multiple) pie charts, bar charts (simple, divided, grouped and faceted) </li>
<li>Specialized charts: stacked bar charts (Likert scales) and linked micromaps (as shown below)</li>
</ul>
<p><a target="_blank" href="http://revolution-computing.typepad.com/.a/6a010534b1db25970b01b8d1e273ea970c-pi"><img title="Micromap" alt="Micromap" src="http://revolution-computing.typepad.com/.a/6a010534b1db25970b01b8d1e273ea970c-800wi" border="0"></a></p>
<p>The examples were done using <a target="_blank" href="https://mran.microsoft.com/open/">Microsoft R Open</a>, but since it's 100% compatible with R the code works with any relatively recent R version.</p>
<p>Naomi and Joyce presented several examples from their e-book in a recent webinar (presented by Microsoft), and fielded lots of interesting questions from the audience. If you'd like to see the recorded webinar and also receive a copy of the slides and the e-book, follow the link below to register to receive the materials via email.</p>
<p>Microsoft Advanced Analytics and IoT: <a target="_blank" href="https://info.microsoft.com/CO-Azure-WBNR-FY16-04Apr-28-Effective-Graphs-with-Microsoft-R-Open-Registration.html">Creating Effective Graphs with Microsoft R Open</a></p>
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<p><div><div><div><div data-width="55" data-show-faces="false" data-send="true" data-layout="box_count" data-height="62" data-href="http://www.r-bloggers.com/free-e-book-effective-graphs-with-microsoft-r-open/"></div></div><div><a data-url="http://www.r-bloggers.com/free-e-book-effective-graphs-with-microsoft-r-open/" data-counturl="http://www.r-bloggers.com/free-e-book-effective-graphs-with-microsoft-r-open/" data-count="vertical" data-text="Free e-book: Effective Graphs with Microsoft R Open" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>
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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/2016/05/e-book-effective-graphs.html"> Revolutions</a></strong>.</div>
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