The Ubuntu Data Science Virtual Machine hosted on Azure is a great place to support an R workshop or laboratory session or R training. We illustrate here the simple steps to set up a Linux Data Science Virtual Machine. Workshop attendees will have their own laptop computers and can certainly install R themselves but with […]
Microsoft is quietly reinventing itself, moving from an old business model entwined with outdated cultural norms to become relevant again as the technology leader in a data rich and computationally empowered world. For a veteran of the open source community, having actively contributed to Emacs, GNU, Linux, and now R, for over 30 years, this […]
Data Scientists have access to a grammar for preparing data (Hadley Wickham’s tidyr package in R), a grammar for data wrangling (dplyr), and a grammar for graphics (ggplot2). At an R event hosted by CSIRO in Canberra in 2011 Hadley noted that we are missing a grammar for machine learning. At the time I doodled […]
I saw a demo of a package for Rapid and Pretty Things in R earlier in the year when it was a work in progress. It is now live on GitHub (but not yet CRAN). It allows you to very quickly visualise data in R using a Shiny GUI to generate ggplot2 underneath. A nice […]
This is a nice example of the power of multiple APIs working together to deliver a solution. The app uses R’s Shiny to control a map built using the open source JavaScript Leaflet based on public data displaying map tiles generated by Stamen Design on Open Street Map data. Thanks to colleague and R guru […]