When I saw this post on the R-blogger site, it made me smile. It’s originally from the Simply Statistics blog. Only a data scientist would even thing of creating an R function to determine if he or she was a data scientist.
They’ve created a venn diagram showing the intersection of the following skills that define a data scientist:
Oracle has just announced their Big Data Appliance in this press release. There’s some NoSQL stuff in there related to Oracle’s ownership of Berkeley DB. There’s some Hadoop stuff in there. And there’s some R stuff too.
Check out the post on the O’Reilly radar blog for more info.
The team at Revolution Analytics has put together a set of instructions for how to use data from a spreadsheet in Google Docs with R. Since Google Docs is a good way to share data sets, and R is a great open source tool, this makes for an all-around good solution.
IBM and Revolution Analytics have integrated R with Netezza. Check out the GigaOm recap.
Here’s a new tool of interest for R users. Check out RStudio.
RStudio™ is a new integrated development environment (IDE) for R. RStudio combines an intuitive user interface with powerful coding tools to help you get the most out of R. RStudio brings together everything you need to be productive with R in a single, customizable environment. Its intuitive interface and powerful coding tools help you get work done faster.
And here are some comments from Flowing Data.
Check out the CNet article to learn how Revolution Analytics has enabled access to Hadoop via their new offering, RevoScaleR.
Revolution Analytics has a commercial version of the open sourced R analytics platform. Read more from Flowing Data.
Over at the Process Trends site, they’ve collected a list of R scripts and data file links related to analyzing climate data.
The full text of the book, R Graphics by Paul Murrell, is available online.
There’s an upcoming workshop in Washington DC in July before the Joint Statistical Meetings called Looking at Data. Learn how to use R and other tools.
