As foreshadowed on Twitter yesterday, a new R Consortium of major vendors launched today aimed at "strengthen[ing] both the technical and user communities," according to a Linux Foundation announcement.
Tableau will showcase beta version 9.0 of its data visualization and analysis software to a large group of customers today, touting features that include drag-and-drop analytics as well as data-preparation features that formerly had to be done outside the application.
A self-described security "amateur" discovered hundreds of Internet-connected devices ranging from cameras to industrial control systems that were connected to the Internet without even basic password protection - meaning they could be easily turned on and off or otherwise manipulated with a single click of a mouse.
Some Excel tips and tricks for manipulating dates, and for getting data into the format you need, are also ready for your R pleasure.
If you work with data much, you don't need a statistical model to predict that the odds of consistently getting data in the format you need for analysis are pretty low. Those who do a great deal of data cleaning and reformatting often turn to scripting languages like Python or specialty tools such as OpenRefine or R.
From a beginner's guide to data-wrangling how-to and searchable collection of additional tutorials and videos, we've got you covered.
This list was originally published as part of the Computerworld Beginner's Guide to R but has since been expanded to also include resources for advanced beginner and intermediate users. If you're just starting out with R, I recommend first heading to the Beginner's Guide.
Not happy with the Google Analytics interface? We show you how to use a programming language like R to bypass Google Analytics and retrieve the data you want.
Facebook's IPO was considered an early bust while Twitter's has been deemed a success. In terms of orderly market activity, that's without question. But what about prices?
There's an old adage about software projects that says you can optimize for only two out of three factors: quality, speed and cost. Portable keyboards seem to have a similar restriction, generally scoring well in, at most, two out of three features: mobility (a form factor and weight that's easy to tote around), function (keys that have a nice feel) and ergonomics (a design that's not cramped and doesn't force your hands into an uncomfortable position).
Users from Germany and Hong Kong offered real-world experience in deploying data mapping apps at the Esri International User Conference in San Diego.
R is hot. Whether measured by more than 4,400 add-on packages, the 18,000+ members of LinkedIn's R group or the close to 80 R Meetup groups currently in existence, there can be little doubt that interest in the R statistics language, especially for data analysis, is soaring.
So you've read your data into an R object. Now what?
One of the most appealing things about R is its ability to create data visualizations with just a couple of lines of code.
Whether it's local or from the Web, there are several ways to get data into R for further work.