<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-financial-times-uses-r-for-quantitative-journalism/"></div></div><div><a data-url="https://www.r-bloggers.com/the-financial-times-uses-r-for-quantitative-journalism/" data-counturl="https://www.r-bloggers.com/the-financial-times-uses-r-for-quantitative-journalism/" data-count="horizontal" data-text="The Financial Times uses R for Quantitative Journalism" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>
<div>
(This article was first published on <strong><a href="http://blog.revolutionanalytics.com/2016/09/financial-times-quantitative-journalism.html"> Revolutions</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<div>
<p>At the 2016 EARL London conference senior data-visualisation journalist John Burn-Murdoch, described how the <a target="_blank" href="https://earlconf.com/london/speaker/jbq9x">Financial Times uses R to produce high-quality, striking data visualisations</a>. Until recently, charts were the realm of an information designer using tools like Adobe Illustrator: the output was beautiful, but the process was a long and winding one. The FT needed to be able to &quot;audition&quot; several different visual treatments quickly, to be able to create stunning visuals before deadline. That's where R and the ggplot2 package come in.</p>
<p>John presented a case study (you can see the <a target="_blank" href="http://johnburnmurdoch.github.io/slides/r-ggplot/">slides with animations here</a>) on creating this FT article, <a target="_blank" href="http://blogs.ft.com/ftdata/2016/03/28/football-premier-league-decline-la-liga/">Explore the changing tides of European footballing power</a>. The final work included 128 charts in total, telling the story of dozens of soccer teams in four countries. John also shared these animated versions (along with the ggplot2 code to produce them):</p>
<p><a target="_blank" href="http://revolution-computing.typepad.com/.a/6a010534b1db25970b01b7c89797c2970b-pi"><img title="FT1" alt="FT1" src="http://revolution-computing.typepad.com/.a/6a010534b1db25970b01b7c89797c2970b-800wi" border="0"></a></p>
<p> <a target="_blank" href="http://revolution-computing.typepad.com/.a/6a010534b1db25970b01bb093b171a970d-pi"><img title="FT2" alt="FT2" src="http://revolution-computing.typepad.com/.a/6a010534b1db25970b01bb093b171a970d-800wi" border="0"></a></p>
<p>You can find the <a target="_blank" href="https://raw.githubusercontent.com/johnburnmurdoch/johnburnmurdoch.github.io/master/slides/r-ggplot/r-scripts.R?">data and R code behind the animations here</a>.</p>
<p>John B Murdoch: <a target="_blank" href="http://johnburnmurdoch.github.io/slides/r-ggplot/">Ggplot2 as a creative engine … and other ways R is transforming the FT's quantitative journalism</a> </p>
</div>
<p><div><div><div><div data-width="55" data-show-faces="false" data-send="true" data-layout="box_count" data-height="62" data-href="https://www.r-bloggers.com/the-financial-times-uses-r-for-quantitative-journalism/"></div></div><div><a data-url="https://www.r-bloggers.com/the-financial-times-uses-r-for-quantitative-journalism/" data-counturl="https://www.r-bloggers.com/the-financial-times-uses-r-for-quantitative-journalism/" data-count="vertical" data-text="The Financial Times uses R for Quantitative Journalism" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>
<div>
<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/2016/09/financial-times-quantitative-journalism.html"> Revolutions</a></strong>.</div>
<hr>
<a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers.com</a> offers <strong><a rel="nofollow" href="https://feedburner.google.com/fb/a/mailverify?uri=RBloggers">daily e-mail updates</a></strong> about <a title="The R Project for Statistical Computing" rel="nofollow" href="https://www.r-project.org/">R</a> news and <a title="R tutorials" rel="nofollow" href="https://www.r-bloggers.com/?s=tutorial">tutorials</a> on topics such as: <a title="Data science" rel="nofollow" href="https://www.r-bloggers.com/?s=data%20science">Data science</a>, <a title="Big Data" rel="nofollow" href="https://www.r-bloggers.com/?s=Big%20Data">Big Data, <a title="R jobs" rel="nofollow" href="https://www.r-users.com/">R jobs</a>, visualization (<a title="ggplot and ggplot2 tutorials" rel="nofollow" href="https://www.r-bloggers.com/?s=ggplot2">ggplot2</a>, <a title="Boxplots using lattice and ggplot2 tutorials" rel="nofollow" href="https://www.r-bloggers.com/?s=boxplot">Boxplots</a>, <a title="Maps and gis" rel="nofollow" href="https://www.r-bloggers.com/?s=map">maps</a>, <a title="Animation in R" rel="nofollow" href="https://www.r-bloggers.com/?s=animation">animation</a>), programming (<a title="RStudio IDE for R" rel="nofollow" href="https://www.r-bloggers.com/?s=RStudio">RStudio</a>, <a title="Sweave and literate programming" rel="nofollow" href="https://www.r-bloggers.com/?s=sweave">Sweave</a>, <a title="LaTeX in R" rel="nofollow" href="https://www.r-bloggers.com/?s=LaTeX">LaTeX</a>, <a title="SQL and databases" rel="nofollow" href="https://www.r-bloggers.com/?s=SQL">SQL</a>, <a title="Eclipse IDE for R" rel="nofollow" href="https://www.r-bloggers.com/?s=eclipse">Eclipse</a>, <a title="git and github, Version Control System" rel="nofollow" href="https://www.r-bloggers.com/?s=git">git</a>, <a title="Large data in R using Hadoop" rel="nofollow" href="https://www.r-bloggers.com/?s=hadoop">hadoop</a>, <a title="Web Scraping of google, facebook, yahoo, twitter and more using R" rel="nofollow" href="https://www.r-bloggers.com/?s=Web+Scraping">Web Scraping</a>) statistics (<a title="Regressions and ANOVA analysis tutorials" rel="nofollow" href="https://www.r-bloggers.com/?s=regression">regression</a>, <a title="principal component analysis tutorial" rel="nofollow" href="https://www.r-bloggers.com/?s=PCA">PCA</a>, <a title="Time series" rel="nofollow" href="https://www.r-bloggers.com/?s=time+series">time series</a>, <a title="finance trading" rel="nofollow" href="https://www.r-bloggers.com/?s=trading">trading</a>) and more...
<img height="1" alt="" width="1" src="http://feeds.feedburner.com/~r/RBloggers/~4/JFX8kxIZHwo"></a></div>