Google. Dev:Splunk Swarm. From Splunk Wiki This guide describes using Splunk to generate data which can be used by the code_swarm visualization package. While code_swarm was designed for visualizing code repositories, it can also be used to visualize other data sets which contain a many-to-moderate relationship between different event objects. This guide also introduces you to building custom endpoint handlers with Splunk's AppBuilder, and illustrates how to manipulate and format the data coming out of Splunk via REST. You will be required to cut and paste code in this guide, but knowing how to code is not required. The following samples were generated from combined access logfiles from Zoto, a photo sharing website.
Screenshots A short video is available over on Vimeo showing IPs access files on a web server. IP Address accessing photos in specific user accounts. Accounts and their photos. Suitable Data Sets Installing code_swarm The code_swarm package should run fine on Linux, Windows, and OSX. Configuring Splunk $ .
Venny. Venny's on-line reference Oliveros, J.C. (2007-2015) Venny. An interactive tool for comparing lists with Venn's diagrams. (If you prefer it, you can still access Venny 1.0). How to use Venny off-line Venny consists on a single standard html file. Feel free to save it to your hard disk, open it with your favorite browser, and start drawing nice Venn's diagrams in seconds, even without internet connection. If you want to set up a public Venny's mirror site, please do not modify this message.
About Venn's diagrams There is a great Wikipedia page about the history of Venn's diagrams, their variations and their applications. Contact Juan Carlos Oliveros (oliveros@cnb.csic.es) BioinfoGP ServiceCentro Nacional de Biotecnología, (CNB-CSIC) Brains on the Line. I was reminded this morning that Mario Manningham, a wide receiver who played for Michigan was rumored to have scored a 6 (out of 50) on the Wonderlic, an intelligence test administered in some occupations (and now pro football) to check the mental capability of job candidates. Intelligence tests are strange beasts, but after watching my niece working on similar problems—for fun—during her summer vacation last week, the tests caught my eye more than when I first heard about it.
Manningham was once a promising undergrad receiver for U of M, but has in recent years proven himself to be a knucklehead, loafing through plays and most recently making headlines for marijuana use and an interview on Sirius radio described as “… arrogant and defensive. When asked about the balls he dropped in big spots, he responded, ‘What about the ball I caught?’” So while an exceptionally score on a standardized test might suggest dyslexia, the guy’s an egotistical bonehead even without mitigating factors.
Code_swarm. An experiment in organic software visualization. A moment from the Eclipse project. [video] I've been studying software projects for a while now. Not the programming, but the people -- the way they interact with each other through collaboration and communication. My investigations have always been visual: I've built applications that create pictures of what is happening within software projects. But they have always had a rigid structure to them. This visualization, called code_swarm, shows the history of commits in a software project.
Please have a look at the videos below. The code is open source and available at Created by Michael Ogawa with Processing. VIDI group, UC Davis. Interactive Data Visualizations for the Web. Nip2 - VipsWiki. Main features nip2-7.12.2 on 64-bit Ubuntu Greenspun's Tenth Rule of Programming Any sufficiently complicated C or Fortran program contains an ad-hoc, informally-specified, bug-ridden, slow implementation of half of Common Lisp. nip2 aims to be about halfway between Excel and Photoshop.
You don't directly edit images --- instead, like a spreadsheet, you build relationships between objects. Spreadsheet-like You enter formula (or select menu items) to describe how to make a new object from some of the objects you already have. nip2 keeps track of these relationships: if you make a change anywhere, nip2 automatically recalculates anything affected by the change. Demand-driven You can load a 500MB image, rotate it by 12 degrees, and immediately view the transformed image. You can apply a filter to the rotated image, zoom in to check the effect on individual pixels, crop out a small section of the filtered image and save the cropped area to disc. Make your own dialogs Add more C operations Examples. Flu Trends. Skip to content Thank you for stopping by.
Google Flu Trends and Google Dengue Trends are no longer publishing current estimates of Flu and Dengue fever based on search patterns. The historic estimates produced by Google Flu Trends and Google Dengue Trends are available below. It is still early days for nowcasting and similar tools for understanding the spread of diseases like flu and dengue – we're excited to see what comes next.
Academic research groups interested in working with us should fill out this form. Sincerely, The Google Flu and Dengue Trends Team. Google Flu Trends Data: You can also see this data in Public Data Explorer Flu Trends model updates for the United States The model was launched in 2008 and updated in 2009, 2013, and 2014. Google Dengue Trends data. NodeBox. Language study. Codeswarm.