Stories by Sharon Machlis

5 tips for data manipulation in Excel

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.

R resources at Computerworld

From a beginner's guide to data-wrangling how-to and searchable collection of additional tutorials and videos, we've got you covered.

60+ R resources to improve your data skills

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.

How to extract custom data from Google Analytics

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.

By the numbers: Twitter vs. Facebook IPOs

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?

Touch and type: 3 keyboard covers for the iPad Mini

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).

3 key questions for enterprise app development: Esri user conference

Users from Germany and Hong Kong offered real-world experience in deploying data mapping apps at the Esri International User Conference in San Diego.

Beginner's guide to R: Introduction

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.

Beginner's guide to R: Easy ways to do basic data analysis

So you've read your data into an R object. Now what?

Beginner's guide to R: Painless data visualization

One of the most appealing things about R is its ability to create data visualizations with just a couple of lines of code.

Beginner's guide to R: Get your data into R

Whether it's local or from the Web, there are several ways to get data into R for further work.

Beginner's guide to R: Syntax quirks you'll want to know

Why x=3 doesn't always mean what you think it should, about data types and more.

More data isn't always better, says Nate Silver

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 Photoshop Lightroom 5 review: A useful, if not radical, upgrade

Adobe has released a public beta of its Lightroom 5 photo-editing application. While not a radical reworking, it includes some useful new tools.

In Pictures: Data visualisation on a shoestring

Are you seeking tools for data visualisation and analysis that won't bust your budget? Here are dozens of ideas.

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