Alpha Personal Analytics Connect with Faceook, sign in for free, and get unique, personalized information anad analysis on your social data-computed by Wolfram|Alpha Clustering of your friends What are the groups of friends that make up your network? How do these groups relate to each other? Where in the world are your friends? Where do your friends live? Your network's global reach Who lives farthest from you? How popular are your friends? How many friends do your friends have? What do you talk about on Facebook? The bigger the word, the more often it's used in your conversations. When do you use Facebook? When are you most active? Where are your friends at in life? Do your friends' ages reflect what kinds of relationships they're in? Explore the structure of your friend network How do your friends connect you to your other friends? Who plays the special roles in your network? How are your friends tied together? Your most popular photos What is your most liked photo? Get a new perspective on your friends
The Development Team Based on the vast number of queries we have been receiving from users all around the world, we thought it would be very interesting to draw some inferences from it. We started with “Human Body Measurements”, one of the many topic areas in Wolfram|Alpha. We thought it would be a safe assumption to make that in more cases than not, when users query for data based on weight or height values, they are most likely looking for data about themselves (narcissism, thy name is Homo sapiens). Based on this assumption, we plotted all of the height and weight inputs and ended up with the following distribution: We can see from this that the average Wolfram|Alpha user is an individual who weighs about 154 pounds and is between 5′ 9″ and 5′ 11″ tall. Let us see how this hypothetical Wolfram|Alpha user compares with the average American male or female: Similarly, we can compare user heights with the height distribution of the general population in America: More » Let’s start with the big numbers.
Workbench: State-of-the-Art Integrated Development Environment "After only two hours of working with Wolfram Workbench, I had learned all the basics and transferred my ongoing Mathematica projects into the Workbench." Jonas Sjöberg, author of Neural Networks "We can now develop both Mathematica and Java code in the same IDE and profit from the version control and build-management infrastructure we have already established around Eclipse." Sascha Kratky, uni software plus GmbH "The speed and efficiency of different algorithms for tackling the same problem, to take an obvious instance, can be watched and profiled with great clarity...." Felix Grant, Scientific Computing World "For debugging, the capability of message breakpoints along with being able to investigate expressions in the stack helps to identify problems much more quickly." Rob Knapp, Wolfram Research, Inc. "I've been trialling Wolfram Workbench on and off for just over a month now and can see it should become a terrific tool...."