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[This post has been revised to credit the original author of the R code behind this graphic]

Inspired by Tufte's classic visualization of New York City weather in 2013, Brad Boehmke used the R language to create a similar story about the weather in Dayton, Ohio in 2014.

by Bob Horton, Data Scientist, Revolution Analytics

From electronic medical records to genomic sequences, the data deluge is affecting all aspects of health care. The Masters of Science in Health Informatics (MSHI) program at the University of San Francisco, now in its second year, is designed to help students develop the practical computing skills and quantitative perspicacity they need to manage and exploit this wealth of data in health care applications.

Bruno Rodrigues teaches a class on applied econometrics at the University of Strasbourg, with a focus on implementing econometric concepts in the R language. Since many of the students don't have any previous programming background, he's put together a tutorial on the basics of applied econometrics with R.

Are you one of those people obsessed by typefaces? I am, and one of my bugbears is bad kerning. (Follow that link for many infuriating examples of keming.) But kerning isn't as easy as it looks, as the Kerntype game will prove to you.

Harvard University is offering a free 5-week on-line course on Statistics and R for the Life Sciences on the edX platform. The course promises you will learn the basics of statistical inference and the basics of using R scripts to conduct reproducible research. You'll just need a backround in basic math and programming to follow along and complete homework in the R language.

It's been more than four years since I wrote the white paper R is Hot with the goal of introducing R to companies who need modern and flexible data analysis software. It's still the most-downloaded whitepaper on the Revolution Analytics website.

by Nick Elprin
Co-Founder Domino Data Lab

"R Notebooks" use the IPython Notebook UI to run R (rather than Python) in notebook cells, giving you an interactive R environment hosted on scalable servers, accessible through a web browser. This post describes how and why we built our "R Notebooks" feature.

The team at RStudio have just released an update to the immensely useful dplyr package, making it even more powerful for manipulating data frame data in R. The new 0.4.0 version adds new "verbs" to the syntax for mutating joins (left join, right join, etc.), filtering joins, and set operations (intersection and union).