Revolutions blog: May 2017 roundup

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Revolutions blog: May 2017 roundup

R help mailing list-2
Since 2008, Microsoft (formerly Revolution Analytics) staff and guests
have written about R every weekday at the Revolutions blog
( and every month I post a summary
of articles from the previous month of particular interest to readers
of r-help.

In case you missed them, here are some articles related to R from the
month of May:

Many interesting presentations recorded at the R/Finance 2017
conference in Chicago are now available to watch:

A review of some of the R packages and projects implemented at the
2017 ROpenSci Unconference:

An example of applying Bayesian Learning with the "bnlearn" package to
challenge stereotypical assumptions:

Data from the Billboard Hot 100 chart used to find the most popular
words in the titles of pop hits:

Microsoft R Open 3.4.0 is now available for Windows, Mac and Linux:

How to use the "tweenr" package to create smooth transitions in data

A preview of some of the companies and R applications to be presented
at the EARL conference in San Francisco:

The AsureDSVM package makes it easy to spawn and manage clusters of
the Azure Data Science Virtual Machine:

A course on spatial data analysis in R, from the Consumer Data
Research Centre in the UK:

Video and slides of Lixun Zhang's presentation "R in Financial
Services: Challenges and Opportunity" from the New York R Conference:

Visual Studio 2017 now features built-in support for both R and Python

Quantifying the home-field advantage in English Premier League

Using the new CRAN_package_db function to analyze data about CRAN

Stack Overflow Trends tracks the trajectory of questions about R and Python:

A recorded webinar on using Microsoft R to predict length of stay in

The new "Real-Time Scoring" capability in Microsoft R Server creates a
service to generate predictions from certain models in milliseconds:

"Technical Foundations of Informatics" is an open course guide on data
analysis and visualization with R with a modern slant:

The Datasaurus Dozen generalizes Anscombe's Quartet with a process to
greate datasets of any shape with (nearly) the same summary

You can now use Microsoft R within Alteryx Designer:

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

* The history of Australia's states:

* An amusingly animated history of the Universe:

* How to clean messy data in Excel by providing just a few examples of

* A Neural Network predicts a movie from just one frame:

* The Bayesian Trap, explained:

* CareerCast ranks Statistician as the best job to have in 2017:

As always, thanks for the comments and please keep sending suggestions
to me at [hidden email] or via Twitter (I'm @revodavid).

# David

David M Smith <[hidden email]>
R Community Lead, Microsoft 
Tel: +1 (312) 9205766 (Chicago IL, USA)
Twitter: @revodavid | Blog:

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