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

Creating interactive time series charts of financial data in R.

Many R books have been translated into Chinese.

A tutorial on visualizing current-events geographic data with choropleths.

Revolution R Enterprise 7.4.1 is now available on Windows and Linux servers and in the Azure Marketplace.

Zillow uses R to estimate the value of houses and rental properties.

There’s a new (and free) online course on edX for R beginners, sponsored by Microsoft and presented by DataCamp.

Mini-reviews of 5 new R packages: AzureML, distcomp, rotationForest, rpca, and SwarmSVM.

The R Consortium’s best practices for secure use of R.

How to extract data from a SQL Server database in Azure to an R client running Linux.

DeployR Open 7.4.1, the open-source server-based framework for simple and secure R integration for application developers, is now available.

R 3.2.2 is now available.

A review of the JSM 2015 conference and the prevalence of R there.

R is available with Cortana Analytics, which you can learn about in upcoming workshops and webinars.

A comparison of the network structure of the CRAN and Bioconductor repositories.

Using R to find signal in noisy data.

I discussed the R Consortium in the inaugural episode of the R Talk podcast.

An exponential random graph model of connections between CRAN packages.

Using the igraph package to simplify a network graph.

An introductory guide to the Bioconductor project.

An animation shows every commit to the R source code over 18 years.

General interest stories (not related to R) in the past month included: Macklemore on mopeds, reconstructed timelapses, a moving visualization of WW2 fatalities and the Magnus Effect.

As always, thanks for the comments and please send any suggestions to me at david@revolutionanalytics.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.