In case you missed it: April 2016 roundup
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In case you missed them, here are some articles from April of particular interest to R users.
Lukasz Piwek recreates classic graphs from Tufte's 'The Visual Display of Quantitative Information' in R.
A preview of upcoming R conferences in Europe.
Andrie de Vries updates the data on R package growth on CRAN, and finds a segmented regression model with break-points in 2007 and 2011 fits the data well.
A Microsoft data scientist compares R, Microsoft R Open and Microsoft R Server.
A webinar on data visualization with Microsoft R Open, presented by Naomi and Joyce Robbins.
Microsoft R Open 3.2.4 now available for Windows, Mac and Linux.
A preview of R/Finance 2016, May 20-21 in Chicago.
Julia Silge releases a CRAN package with the text of Jane Austin's novels, and uses the syuzhet package to map sentiment in the narratives.
Modeling tips paid to taxi drivers in NYC with Microsoft R Server running on HDInsight Hadoop.
A webinar recording (with slides) shows how to scale Microsoft R Server to analyze very large data sets on HDInsight with Apache Spark.
News on recent grants to community projects by the R Consortium (proposals for the next round are due July 10).
The Microsoft Data Science Virtual Machine, which packages many data science tools including R, is now available as a Linux VM.
Buzzfeed used R to visualize the activity of surveillance aircraft used by the US government.
Using Azure ML and R to predict the quality of wine.
A review of the book Graphical Data Analysis with R by Antony Unwin.
Montgomery County, MD opened its traffic violation data, and Srini Kumar used SQL Server and R to visualize it.
80% of Airbnb's data scientists use R, and share methods and tools via an internal R package.
Microsoft sponsors a competition using R to evaluate a treatment for brain injury and infer vision from brain waves.
General interest stories (not related to R) in the past month included stories about: the new Thunderbirds, Australian abbreviations, anamorphic illusions, the jet streams of Earth and Jupiter and never-seen YouTube videos.
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