In case you missed it: August 2017 roundup

September 7, 2017
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(This article was first published on Revolutions, and kindly contributed to R-bloggers)

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

Using the featurizeText function in the MicrosoftML package to extract ngrams from unstructured text.

A joyplot visualizes the probabilities associated with phrases like "highly likely" and "little chance" by a sample of 46 Redditors.

Two examples of creating 3-D animations in R: a stereo cube, and the Charleston in motion capture data.

A tutorial on creating thematic maps in R, from ComputerWorld. 

Some tips on using R to query data in Power BI.

Using the Rcpp package to calculate a membership matrix for fuzzy k-means clustering.

A reimagining of Minard's chart of Napoleon's march on Russia.

Rankings of gender roles for men and women in film, from an analysis of scripts with the tidytext package.

Several talks at the upcoming Ignite conference feature R.

Norm Matloff's keynote at UseR!2017 discussed various obstacles to performance in parallel programming.

Peter Dalgaard marks the 20th anniversary of the formation of the R Core Group.

Using the rxFeaturize function in the MicrosoftML package to find images similar to a reference image.

Buzzfeed used R to identify possible spy planes in Flightradar24 data.

Timo Grossenbacher offers a helpful workflow for implementing reproducible data analysis in R.

A preview of version 0.10.0 of the dplyrXdf package, featuring support for the tidyeval framework on out-of-memory Xdf data files.

A tutorial on using CNTK via the keras package for forecasting

Neils Berglund explains how to use the sqlrutils package to publish an R function as a SQL Server stored procedure.

Tomas Kalibera's presentation at UseR!2017 includes useful guidance on getting the most out of R's byte compiler.

The kadinsky package makes accidental aRt, deliberately.

Angus Taylor's UseR!2017 presentation uses MXNET to categorize product reviews on Amazon.

Various solutions for the energy, retail and shipping industries, with data and Microsoft R code.

Talks on new database interfaces from UseR!2017: Jim Hester on the ODBC package, and Kirill Müller on the DBI package.

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

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.

To leave a comment for the author, please follow the link and comment on their blog: Revolutions.

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