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Knowledge Maps of Researchers and Methods in the Visualization F

Knowledge Maps of Researchers and Methods in the Visualization F
Visual Cards for Collaboration and Team Creativity Making the Complex Clear Visual Literacy for Managers - How Sketching enables Visual Problem Solving and Communication (get the hardcopy edition at sketchingatwork.com) By clicking on a map or diagram thumbnail below, you can access an interactive graphic overview on tools, books, researchers in different visualization fields, as well as on key success factors of visualization. Stairs to visual excellence "Towards A Periodic Table of Visualization Methods for Management"Lengler R., Eppler M. (2007). Version 1.5 of the periodic table as PDF Chris Wallace has implemented an XML page on which you can see and print the mouseover pictures individually. On another page by Chris you can group the visualization methods by your criteria and you can find background information for a specific visualization method via 'Google Images' and 'Wikipedia'. Imperfect Storm (Click on image to enlarge)

How to Find the Right Chart Type for your Numeric Data 22 Feb 2016 Charts help you visualize numeric data in a graphical format but the problem is there are just too many types of charts to choose from. This diagram will help you pick the right chart for your data type. couch mode print story Charts help you visualize numeric data in a graphical format but the problem is there are just too many types of charts to choose from. If you are finding it hard to pick the right chart type for your type of data, refer to chart chooser diagram. The poster, designed by Andrew Abela, is also available as a PDF. Related: Create Graphs Online with Google Charts You may also want to check out Chart Chooser – an online tools that lets you shortlist charts visually. Comments are closed but if you want to respond, please send me an email or tweet.

Wizualizacja sztuki Data Pointed Brian.Shaler.name | 3rd Party Digg Development Digg Oracle The Digg Oracle is a Google Gears tool that indexes your Digg history and allows you to sort, search, and filter stories you have voted on in the past. It uses a local SQLite database to store and parse the data, so after a one-time sync with Digg's servers, the tool does not have to connect to the internet to perform the searching. Venn Friends Type in your Digg user name, and you will see a Venn Diagram of your friends and fans. Wheel of Upcoming Stories The Wheel of Upcoming Stories is a Flash visualization of recently submitted Digg stories. Digg Heat Map The Digg Heat Map was based on the same data as my previous maps of the Digg community. Digg RADAR Expanding from the Map of the Digg Community, I set up a real-time feed from Digg, showing little thumbs-up icons whenever a user "Diggs" (votes on) a Digg story. DiggStatus DiggStatus is a small utility that calculates the average usage statistics of Digg users and compares them to the statistics of a selected user. DiggTaggr

Big Data: why is metadata more personal than our fingerprints A l’occasion du colloque « la politique des données personnelles : Big Data ou contrôle individuel « organisé par l’Institut des systèmes complexes et l’Ecole normale supérieure de Lyon qui se tenait le 21 novembre dernier, Yves-Alexandre de Montjoye (@yvesalexandre) était venu présenter ses travaux, et à travers lui, ceux du MediaLab sur ce sujet (Cf. « D’autres outils et règles pour mieux contrôler les données » ). Yves-Alexandre de Montjoye est doctorant au MIT. Il travaille au laboratoire de dynamique humaine du Media Lab, aux côtés de Sandy Pentland, dont nous avons plusieurs fois fait part des travaux. Nos données de déplacements sont encore plus personnelles que nos empreintes digitales Faire correspondre des empreintes digitales n’est pas si simple, rappelle Yves-Alexandre de Montjoye. Image : illustration de l’unicité de nos parcours repérés via des antennes mobiles. Et Yves-Alexandre de nous inviter à retrouver un de ses collègues du Media Lab. Hubert Guillaud

The Work of Edward Tufte and Graphics Press Edward Tufte is a statistician and artist, and Professor Emeritus of Political Science, Statistics, and Computer Science at Yale University. He wrote, designed, and self-published 4 classic books on data visualization. The New York Times described ET as the "Leonardo da Vinci of data," and Business Week as the "Galileo of graphics." He is now writing a book/film The Thinking Eye and constructing a 234-acre tree farm and sculpture park in northwest Connecticut, which will show his artworks and remain open space in perpetuity. He founded Graphics Press, ET Modern gallery/studio, and Hogpen Hill Farms LLC. Visual Display of Quantitative Information 200 pages Envisioning Information 128 pages Visual Explanations 160 pages Beautiful Evidence 214 pages Same paper and printing as in original clothbound editions. All 4 clothbound books, autographed by author $150 Available directly from Graphics Press. Die visuelle Darstellung quantitativer Informationen, (200 Seiten), $12 数量情報の視覚的表示, (200 ページ)、$12

Data Visualization: Modern Approaches | Graphics Tools - Cool Infographics Adioma creates information graphics out of your textual data, using timelines, grids and icons. Create impressive charts from spreadsheets. Assemble into dashboards, embed in websites, or simply share a link. A Python interactive visualization library that targets modern web browsers for presentation Cacoo is a free online drawing tool that allows you to create a variety of diagrams such as site map, flowchart, mind map, wire frame, UML diagram and network diagram. Crowdsourced Analytics Solution Marketplace - Make Sense of Big Data Free interactive charts created online in seconds ChartGo is an online graph maker tool. Simply choose your settings, enter your data and hit create. JESS3™ 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. 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

Pattern recognition Pattern recognition algorithms generally aim to provide a reasonable answer for all possible inputs and to perform "most likely" matching of the inputs, taking into account their statistical variation. This is opposed to pattern matching algorithms, which look for exact matches in the input with pre-existing patterns. A common example of a pattern-matching algorithm is regular expression matching, which looks for patterns of a given sort in textual data and is included in the search capabilities of many text editors and word processors. Pattern recognition is studied in many fields, including psychology, psychiatry, ethology, cognitive science, traffic flow and computer science. Overview[edit] Pattern recognition is generally categorized according to the type of learning procedure used to generate the output value. Note that sometimes different terms are used to describe the corresponding supervised and unsupervised learning procedures for the same type of output. . to output labels . .

10 Outstanding Social Media Infographics | @NowSourcing.Com Nobody has time to read anymore, right? Every day we are all inundated with more and more information overload coming from credible and yet to be verified sources. Where can Internet users find relief? Update: Check out our infographic design services 1 – World Map of Social Networks Let’s start at the 50,000 foot view, shall we? (Source) 2 – Age Distribution on Social Network Sites Is age distribution targeting more your thing? (Source) 3 – Social Media Periodic Table of Elements As we previously reported, our friend and fellow Advertising Age Power 150 member Eyecube created another great visualization called the social media periodic table of elements: (Source) 4 – The Conversation Prism No social media infographic collection would be complete without Brian Solis’ Conversation Prism: 5 – The Boom of Social Sites Focus.com put together an outstanding visual showing both the size and timeline of social communities: (Source) 6 – Make Social Media Work For Your Company (Source) (Source) (Source) (Source)

The Best Tools for Visualization Visualization is a technique to graphically represent sets of data. When data is large or abstract, visualization can help make the data easier to read or understand. There are visualization tools for search, music, networks, online communities, and almost anything else you can think of. Visualize Social Networks Last.Forward: Thanks to Last.fm's new widget gallery, you can now explore a wide selection of extras to extend your Last.fm experience. Last Forward Friends Sociomap: Friends Sociomap is another Last.fm tools that generates a map of the music compatibility between you and your Last.fm friends. Fidg't: Fidg't is a desktop application that gives you a way to view your networks tagging habits. Fidg't The Digg Tools: Digg.com has some of the best web-based visualization tools on the net, so they're a must for any visualization list. One more: Digg Radar. YouTube: You can discover related videos using YouTube's visualizations. Visualize Music Musicovery Last.fm music visual tools: Amazon Data

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