Make sure you didn't miss anything with this list of the Best of the Week in the Big Data Zone (Nov. 15 to Nov. 21). Here they are, in order of popularity:
[Be sure to check out part 2 as well]
After reading a post with lists of the trendiest names in US history, the author decided to compile the lists using R. In this post, the author discusses building a dataframe, as well as a function to query the dataframe.
Those of you who work with R (or Java) might be interested in FastR, an R virtual machine written in Java. R is not the fastest or most efficient language out there, and FastR aims to improve on it in a number of ways.
This installment of Arthur Charpentier's regular collection of data science-related links includes analyzing baseball data with R, a profile of a sword-swallowing statistician, and the technology behind Twitter that creates a massive network of data.
This new tool seems to be centered on creating an easy-to-use interface for analyzing Hadoop data - probably aiming to be more accessible to employees who aren't quite as much in the loop, among other things - and allows users to manipulate data in Excel, which is then scaled to Hadoop's dataset.
The author's previous post on recommendation systems suffers from a lack of diversity. For example, a list may contain the same book as a soft cover, hard cover, and Kindle version. Because interests are diverse, a better recommendation list should contain items that cover a broad spectrum of the user's interests