From a beginner's guide to data-wrangling how-to and searchable collection of additional tutorials and videos, we've got you covered.
Stories by Sharon Machlis
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.
Why x=3 doesn't always mean what you think it should, about data types and more.
Big data may seem to promise big insights to users, but more isn't always better, cautions statistician Nate Silver, who became one of America's most well-known faces of data analysis after his FiveThirtyEight blog accurately predicted 2012 presidential election results in all 50 states.
Adobe has released a public beta of its Lightroom 5 photo-editing application. While not a radical reworking, it includes some useful new tools.
Are you seeking tools for data visualisation and analysis that won't bust your budget? Here are dozens of ideas.