Revolutions > Microsoft R Open 3.4.0 now available
http://bit.ly/2rQsyz0

Revolutions > Create smooth animations in R with the tweenr package
http://bit.ly/2qhwC9w

Revolutions > Preview of EARL San Francisco
http://bit.ly/2qb0h50

Revolutions > The history of the universe, in 20 minutes
http://bit.ly/2qzHdQK

Revolutions > AzureDSVM: a new R package for elastic use of the Azure Data Science Virtual Machine
http://bit.ly/2pTqetV

Revolutions > R/Finance 2017 livestreaming today and tomorrow
http://bit.ly/2qFAO4L

Revolutions > Clean messy data by providing examples in Excel
http://bit.ly/2pQ8dMS

Revolutions > An Introduction to Spatial Data Analysis and Visualization in R
http://bit.ly/2pMiQAu

Revolutions > R in Financial Services: Challenges and Opportunities
http://bit.ly/2rcR1kU

Revolutions > R and Python support now built in to Visual Studio 2017
http://bit.ly/2rjfXU3

Revolutions > Because it’s Friday: Video projection
http://bit.ly/2qBkG7q

Revolutions > Analyzing the home advantage in English soccer, with R
http://bit.ly/2qas6gz

Revolutions > Analyzing data on CRAN packages
http://bit.ly/2r5rSol

Revolutions > StackOverflow Trends
http://bit.ly/2q6SNAZ

Revolutions > Predicting Hospital Length of Stay using SQL Server R Services
http://bit.ly/2qPluVU

Revolutions > In case you missed it: April 2017 roundup
http://bit.ly/2pUVMOc

Revolutions > Becasue it’s Friday: Bayesian Trap
http://bit.ly/2qBkKna

Revolutions > Statistician ranked as best job in 2017 by CareerCast
http://bit.ly/2pinNwE

Revolutions > Real-time scoring with Microsoft R Server 9.1
http://bit.ly/2qJaeqa

Revolutions > Technical Foundations of Informatics: A modern introduction to R
http://bit.ly/2p5W8yd

Revolutions > The Datasaurus Dozen
http://bit.ly/2qAmzgv

Revolutions > Using Microsoft R with Alteryx
http://bit.ly/2qw9Jj8

Revolutions > Because it’s Friday: Powerpoint Punchcards
http://bit.ly/2oR31TK

Revolutions > Make pleasingly parallel R code with rxExecBy
http://bit.ly/2pqkXGB

Revolutions > Where Europe lives, in 14 lines of R Code
http://bit.ly/2qc0WUl

Revolutions > dv01 uses R bring greater transparency to the consumer lending market
http://bit.ly/2pzzYZP

Revolutions > Using checkpoint with knitr and RStudio
http://bit.ly/2pg9eum

Revolutions > R 3.4.0 now available
http://bit.ly/2oEdz8H

Revolutions > Because it’s Friday: Secrets of the London Underground
http://bit.ly/2oYz5Z5

Revolutions > Reproducible Data Science with R
http://bit.ly/2oEd0eU

Revolutions > SQL Server 2017 to add Python support
http://bit.ly/2oUdQWL

Revolutions > Microsoft R Server 9.1 now available
http://bit.ly/2osSUnZ

Revolutions > Warren Buffett Shareholder Letters: Sentiment Analysis in R
http://bit.ly/2pwUtFY

Revolutions > Free AI Workshop, May 9 in Seattle
http://bit.ly/2payQeR

Revolutions > Seeing Theory: Learn Statistics through simulation
http://bit.ly/2pfu8fv

Revolutions > R is for Archaeology: A report on the 2017 Society of American Archaeology meeting
http://bit.ly/2pikPsv

Revolutions > New features in the checkpoint package, version 0.4.0
http://bit.ly/2obqxe0

Revolutions > Data Amp: a major on-line Microsoft event, April 19
http://bit.ly/2oAwIw3

Revolutions > Prepare real-world data for analysis with the vtreat package
http://bit.ly/2opXSVK

Revolutions > In case you missed it: March 2017 roundup
http://bit.ly/2nVF9y0

Revolutions > Because it’s Friday: Art Collective
http://bit.ly/2oL9PXt

Revolutions > The faces of R, analyzed with R
http://bit.ly/2nM3KVK

Revolutions > Microsoft R Open 3.3.3 now available
http://bit.ly/2nimLUc

Revolutions > Fitting a rational function in R using ordinary least-squares regression
http://bit.ly/2nFxhQP

Revolutions > Publish R functions as stored procedures with the sqlrutils package
http://bit.ly/2nBHpKg

Revolutions > The Most Popular Languages for Data Scientists/Engineers
http://bit.ly/2n5nXKL

Revolutions > Because it’s Friday: Galaxy Orrery
http://bit.ly/2oqPJ1o

Revolutions > Tutorial: Using R for Scalable Data Analytics
http://bit.ly/2oqgx1L

Revolutions > Learning Scrabble strategy from robots, using R
http://bit.ly/2nk1hS8

Revolutions > Massively-parallel computations on Azure clusters with R, made easy with doAzureParallel
http://bit.ly/2o7CjtW