Did you watch the CFP Championship this past Monday? We did! And also compiled geolocated, sentiment-scored tweets throughout the Ohio State Buckeyes vs. Oregon Ducks second half of the game, into this Tableau data visualization. Check out the viz below, from...
We start our second installment of how to move from SAS to R by taking a brief look at the history of the R language. Then, we’ll talk about getting the software installed and set up on your local machine. No Spring Chicken, R Has Been Around for Quite a While It...
Not long ago, we ran a post describing how business users can learn to become data scientists. No, we didn’t resort to spells or incantations. Instead, we described tools, capabilities and best practices that help analysis-minded business users get insight directly...
Big Data analytics is the analysis of data sets that often contain many types of data. It’s designed to help companies extract value from huge volumes of data. The goal: find hidden patterns, market trends and other useful business information to enable more accurate...
This is the first part of a series of posts designed to introduce analysts to the power and quirks of R-language programming. We’ll take things step by step and compare and contrast approaches used in SAS and R. Our goal: to help you develop a solid start to R...
