In case you missed it: Septemer 2016 roundup

October 7, 2016
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[This article was first published on Revolutions, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
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In case you missed them, here are some articles from September of particular interest to R users. 

The R-Ladies meetups and the Women in R Taskforce support gender diversity in the R community.

Highlights from the Microsoft Data Science Summit include recordings of many presentations about R, and the keynote "The Future of Data Analysis" by Edward Tufte.

An R-based fraud detection model scores credit card transactions in SQL Server at a rate of 1 million records per second.

The Financial Times uses R for quantitative journalism (and made some lovely animations comparing European football teams). 

Part 3 in a series on Deep Learning looks at combining CNNs with RNNs.

There were many real-world applications of R presented at the EARL London conference, including applications of Microsoft R at Investec, British Car Auctions and Beazley Group.

Tips on choosing the right data science tool for a project.

Tidyverse: a collection of packages for working with data in R.

The Linux Data Science Virtual Machine has been upgraded with new tools including Microsoft R Server.

The Pirate's Guide to R: a video and 250-page e-book to learn the R language.

The 2016 O'Reilly Data Science Salary Survey reveals the most-used tools are SQL (70%), R (57%) and Python (54%).

A simple explanation of Convolutional Neural Networks.

A template for building a predictive maintenance application with SQL Server R Services.

The R Consortium awarded a grant of $10,000 to the R Documentation Task Force to design and build the next generation R documentation system.

Scaling R-based applications with DeployR grid nodes and slots.

An R package to extract colour palettes from satellite imagery.

A guide for porting SAS programs for financial data manipulation to R.

How to analyze basketball data and create animations of player movements with R.

Create a more perceptive heatmap colour scale with the viridis package.

General interest stories (not related to R) in the past month included: how a newspaper was printed in 1973, illusions caused by our poor peripheral vision (), a chart (to scale!) about climate change, a happier version of the X Files theme, and a short film about the creation of the universe.

As always, thanks for the comments and please send any suggestions to me at [email protected]. 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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