Blog Archives

Microsoft R at the EARL Conference

September 23, 2016
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Microsoft R at the EARL Conference

Slides have now been posted for many of the talks given at the recent Effective Applications of the R Language (London) conference, and I thought I'd highlight a few that featured Microsoft R. Chris Cole manages the deployment of R at Investec, supporting investment and risk teams worldwide. Despite some initial grumbling about having to use "old" versions of...

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Welcome to the Tidyverse

September 21, 2016
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Hadley Wickham, co-author (with Garrett Grolemund) of R for Data Science and RStudio's Chief Scientist, has focused much of his R package development on the un-sexy but critically important part of the data science process: data management. In the Tidy Tools Manifesto, he proposes four basic principles for any computer interface for handling data: Reuse existing data structures. Compose...

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Linux Data Science Virtual Machine: new and upgraded tools

September 20, 2016
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Linux Data Science Virtual Machine: new and upgraded tools

The Linux edition of the Data Science Virtual Machine on Microsoft Azure was recently upgraded. The Linux DSVM includes Microsoft R, Anaconda Python, Jupyter, CNTK and many other data science and machine learning tools, new or upgraded for this release. This eWeek story gives an overview of the improvements, but the highlights are: Microsoft R Server (developer edition) is...

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YaRrr! The Pirate’s (video) Guide to R

September 19, 2016
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YaRrr! The Pirate’s (video) Guide to R

Today is Talk Like A Pirate Day, the perfect day to learn R, the programming language of pirates (arrr, matey!). If you have two-and-a-bit hours to spare, Nathaniel Phillips has created a video tutorial YaRrr! The Pirate's Guide to R which will take you through the basics: installation, basic R operations, and the matrix and data frame obects. For...

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Reflections on EARL London 2016

September 16, 2016
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Reflections on EARL London 2016

The Mango Solutions team have done it again: another excellent Effective Applications of R (EARL) conference just wrapped up here in London. The conference was attended by almost 400 R users from companies all around the world, and was a really fun experience. I was honored to deliver a keynote presentation, alonside keynotes from Joe Cheng and Garrett Grolemund...

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2016 Data Science Salary Survey results

September 15, 2016
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2016 Data Science Salary Survey results

O'Reilly has released the results of the 2016 Data Science Salary Survey. This survey is based on data from over 900 respondents to a 64-question survey about data-related tasks, tools, and the salary they receive from doing/using them. The median salary reported in the survey was US$87,000; amongst data scientists in the US, the median salary was US$106,000. Appropriately...

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Volunteer to help improve R’s documentation

September 12, 2016
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The R Consortium, in its most recent funding round, awarded a grant of $10,000 to The R Documentation Task Force, whose mission is to design and build the next generation R documentation system. (Microsoft is a Platinum Member of the R Consortium.) The task force has the support and participation of R Core members Duncan Murdoch, Michael Lawrence, and...

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In case you missed it: August 2016 roundup

September 9, 2016
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In case you missed them, here are some articles from August of particular interest to R users. An amusing short video extols the benefits of reproducible research with R. A guide to implementing a churn model for mobile phone customers with Microsoft R Services. Computerworld's Sharon Machlis presents 5 data visualizations each using 5 lines of R code. A...

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The elements of scaling R-based applications with DeployR

September 8, 2016
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The elements of scaling R-based applications with DeployR

If you want to build an application using R that serves many users simultaneously, you're going to need to be able to run a lot of R sessions simultaneously. If you want R to run in the cloud, you can publish R functions as a Web service (and you can do this directly from R with the azureML package)....

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Video series: Introduction to Microsoft R Server

August 29, 2016
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Microsoft R Server extends the base R language and Microsoft R Open with big-data capabilities. Specifically, it adds the RevoScaleR package, which creates an out-of-memory "CDF" data structure (so you can process data larger than available RAM), and algorithms that allow you to perform computations on such data using parallel and distributed algorithms. (A limited version of the RevoScaleR...

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