In case you missed it: June 2017 roundup

  • The Azure Data Science Virtual Machine for Windows now supports GPU-based computations with Microsoft R, Tensorflow, and other included software.
  • The 2017 Burtch Works survey of data science software popularity shows R leading, Python gaining, and SAS declining.
  • A video presentation by Ali Zaidi on using the sparklyr package with Microsoft R Server.
  • A free 13-page e-book on using Power BI with R.

    Python edges out R for the first time in the 2017 KDnuggets poll of data science software usage.

  • The miner package encourages kids to learn to program in R while manipulating the world of Minecraft with R functions.

In case you missed them, here are some articles from June of particular interest to R users. R 3.4.1 “Single Candle” has been released. The Scientific Computing Coordinator at the FDA explains how R is used at the FDA and by sponsors for clinical trial submissions. Several useful tips related to including images in Rmarkdown documents. A review of one of R’s best features — its community. It’s now possible to include interactive R visualizations in Power BI reports (like graphics created with plotly or htmlwidgets). The Azure Data Science Virtual Machine for Windows now supports GPU-based computations with Microsoft…

@craigbrownphd: In case you missed it: June 2017 roundup #BigData #Analytics

In case you missed them, here are some articles from June of particular interest to R users.

R 3.4.1 “Single Candle” has been released.

The Scientific Computing Coordinator at the FDA explains how R is used at the FDA and by sponsors for clinical trial submissions.

Several useful tips related to including images in Rmarkdown documents.

A review of one of R’s best features — its community.

It’s now possible to include interactive R visualizations in Power BI reports (like graphics created with plotly or htmlwidgets).

The Azure Data Science Virtual Machine for Windows now supports GPU-based computations with Microsoft R, Tensorflow, and other included software.

The 2017 Burtch Works survey of data science software popularity shows R leading, Python gaining, and SAS declining.

A video presentation by Ali Zaidi on using the sparklyr package with Microsoft R Server.

The EARL conference in San Francisco featured applications of R at Pandora, Pfizer, Amgen, Hitachi, and many other companies.

A demo of real-time predictions from a model created with Microsoft R, at a rate of one million predictions per second.

The R Epidemics Consortium is a coalition of researchers developing epidemiology resources for R.

Syberia is an open-source framework for orchestrating R scripts in production.

A from-the-basics guide to accessing open APIs from R, from Locke Data.

Highlights of talks from useR!2017 (recordings will be available in late July).

The doAzureParallel package provides a backend to “foreach” that spins up a parallel-processing cluster on Azure incorporating low-cost low-priority VMs.

A tutorial on creating dot-density maps in R, an alternative to choropleths.

A free 13-page e-book on using Power BI with R.

Python edges out R for the first time in the 2017 KDnuggets poll of data science software usage.

The miner package encourages kids to learn to program in R while manipulating the world of Minecraft with R functions.

And some general interest stories (not necessarily related to R):

As always, thanks for the comments and please send any suggestions to me at davidsmi@microsoft.com. Don’t forget you can follow the blog using an RSS reader, via email using blogtrottr, or by following me on Twitter (I’m @revodavid). You can find roundups of previous months here.

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In case you missed it: June 2017 roundup

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