[R] Revolutions blog: August 2016 roundup
David Smith
davidsmi at microsoft.com
Thu Sep 8 22:27:59 CEST 2016
Since 2008, Microsoft (formerly Revolution Analytics) staff and guests have written about R every weekday at the
Revolutions blog: http://blog.revolutionanalytics.com
and every month I post a summary of articles from the previous month of particular interest to readers of r-help.
And in case you missed them, here are some articles related to R from the month of August:
An amusing short video extols the benefits of reproducible research with R:
http://blog.revolutionanalytics.com/2016/08/a-reproducibility-horror-story.html
A guide to implementing a churn model for mobile phone customers with Microsoft R Services:
http://blog.revolutionanalytics.com/2016/08/telco-customer-churn-with-r-in-sql-server-2016.html
Computerworld's Sharon Machlis presents 5 data visualizations each using 5 lines of R code:
http://blog.revolutionanalytics.com/2016/08/five-great-charts-in-5-lines-of-r-code-each.html
A five-part video series introducing Microsoft R Services:
http://blog.revolutionanalytics.com/2016/08/introduction-to-microsoft-r-server.html
David Robinson analyzes the sentiment of Donald Trump's (and staffers') tweets with R
http://blog.revolutionanalytics.com/2016/08/sentiment-analysis-of-trumps-tweets-with-r.html
Microsoft R Open 3.3.1 is now available for Windows, Mac and Linux:
http://blog.revolutionanalytics.com/2016/08/microsoft-r-open-331-now-available-for-windows-mac-and-linux.html
When to use (and when not to use) dual Y axes on time series charts:
http://blog.revolutionanalytics.com/2016/08/dual-axis-time-series.html
You can now use R from PowerBI to import, transform and visualize data:
http://blog.revolutionanalytics.com/2016/08/powerbi-and-r.html
An in-depth look at deep learning frameworks: Part 1
http://blog.revolutionanalytics.com/2016/08/deep-learning-part-1.html and Part 2
http://blog.revolutionanalytics.com/2016/08/deep-learning-part-2.html
The Data Science Summit (Sep 26-27 in Atlanta) features several R-related talks and a keynote presentation by Edward
Tufte http://blog.revolutionanalytics.com/2016/08/tufte-keynote.html
The jailbreakr package locates and extracts sub-tables from messy spreadsheets:
http://blog.revolutionanalytics.com/2016/08/jailbreakr.html
Using R to extract information from a PDF table to create a map of dispensary locations:
http://blog.revolutionanalytics.com/2016/08/dispensaries.html
Student debt is rising quickly in the US, as shown using the animation package:
http://blog.revolutionanalytics.com/2016/08/student-debt.html
A guide to tuning Apache Spark to optimize computations with Microsoft R Server:
http://blog.revolutionanalytics.com/2016/08/tuning-apache-spark.html
A review of several R packages providing access to online data sources:
http://blog.revolutionanalytics.com/2016/08/r-packages-data-access.html
A cheat-sheet for the dplyrXdf package:
http://blog.revolutionanalytics.com/2016/08/new-cheat-sheet-for-the-dplyrxdf-package.html
A beautiful example of creating publication-ready interactive graphics with R:
http://blog.revolutionanalytics.com/2016/08/interactive-illustrator-quality-graphics-with-r.html
A guide to simulating from the bivariate Normal distribution with R:
http://blog.revolutionanalytics.com/2016/08/simulating-form-the-bivariate-normal-distribution-in-r-1.html
Where to find resources previously available on the now-decommissioned inside-r.org:
http://blog.revolutionanalytics.com/2016/08/farewell-inside-rorg.html
An introduction to ROC curves in R: http://blog.revolutionanalytics.com/2016/08/roc-curves-in-two-lines-of-code.html
Azure ML Studio now supports Microsoft R Open and Python 2 and 3:
http://blog.revolutionanalytics.com/2016/08/ml-studio-mro-python3.html
General interest stories (not related to R) in the past month included: the font of the Stranger Things titles
(http://blog.revolutionanalytics.com/2016/08/because-its-friday-the-font-of-stranger-things.html), gravity waves
(http://blog.revolutionanalytics.com/2016/08/because-its-friday-lisa.html), a first-squirrel view
(http://blog.revolutionanalytics.com/2016/08/because-its-friday-the-squirrels-pov.html), and history set to 70's pop
(http://blog.revolutionanalytics.com/2016/08/because-its-friday-the-knack-to-learning-history.html).
If you're looking for more articles about R, you can find summaries from previous months at
http://blog.revolutionanalytics.com/roundups/. You can receive daily blog posts via email using services like
blogtrottr.com.
As always, thanks for the comments and please keep sending suggestions to me at davidsmi at microsoft.com or via Twitter
(I'm @revodavid).
Cheers,
# David
--
David M Smith <davidsmi at microsoft.com>
R Community Lead, Microsoft
Tel: +1 (312) 9205766 (Chicago IL, USA)
Twitter: @revodavid | Blog: http://blog.revolutionanalytics.com
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