Data Analysis

"This radial browser was designed to display complex concept network structures in a snappy and intuitive manner. It can be used to visualize conceptual structures, social networks, or anything else that can be expressed in nodes and links." - Mike Chelen from Bookmarklet

"The image reconstruction toolbox is a collection of open source algorithms for image reconstruction (and related imaging problems) written in Mathwork's Matlab language. This software was developed at the University of Michigan by Jeff Fessler and his students. The toolbox includes the following. * Iterative and non-iterative algorithms for tomographic imaging (PET, SPECT, X-ray CT). * Methods for magnetic resonance (MR) image reconstruction, including compensation for off-resonance effects (field inhomogeneity, susceptibility, etc.). * Methods for MR RF pulse design, including MRI spectral-spatial pulse design for phase-precompensatory slice selection * Iterative image restoration tools. * Methods for B-spline based image registration with regularization to encourage the deformation to be invertible (diffeomorphic) * A NUFFT Matlab toolbox that performs fast and accurate nonuniform FFT computations." - Mike Chelen from Bookmarklet

"SELECT a dataset in the left-hand menu. CREATE and customize your table by clicking on "current data selection". RESHAPE your table using "pivot dimensions" to move rows and columns. TAKE AWAY the data to Excel or CSV, print your query or save it for later use." - Mike Chelen from Bookmarklet

"Drupal's built-in data presentation tools offer several ways for web designers to clearly and attractively package their data. In Drupal 6: Online Presentation of Data, Tom Geller explains how Drupal handles data so users can set up intelligent structures and implement them with Drupal's Content Construction Kit. Tom also shows how a data-driven web site can improve its interactivity by using geographic data to connect real-world addresses to maps. Exercise files accompany the course." - Mike Chelen from Bookmarklet

"An important part of making sure Hadoop works well for all users is developing and maintaining strong relationships with the folks who run Hadoop day in and day out. Edward Capriolo keeps About.com’s Hadoop cluster happy, and we frequently chew the fat with Ed on issues ranging from administrative best practices to monitoring. Ed’s been an invaluable resource as we beta test our distribution and chase down bugs before our official releases. Today’s article looks at some of Ed’s tricks for monitoring Hadoop with Cacti through JMX." - Mike Chelen from Bookmarklet