data

TwitterFacebook
Get flash to fully experience Pearltrees

Redefining optimal

When you’re trying to use models to probe the behavior of a complex biological system, there usually comes a point where you have to “fit parameters”. This happens because the model is trying to build up a macroscopic picture from underlying features that may be impossible to measure. For example, in the case of tumor growth, your model might use local nutrient density as a parameter that affects the rate of the growth of individual cells in the tumor and therefore the growth of the tumor overall. But nutrient density might not be possible to measure, and so you would have to use experimental data on something that’s easier to measure (e.g. how rapidly tumors grow) to deduce how nutrient density changes across the tumor. http://ittakes30.wordpress.com/2010/11/16/redefining-optimal/
Après l'open-data la nouvelle tendance tout droit venue des US sera-t-elle le « big data » ? D’un récent voyage dans la Silicon Valley (merci aux amis du Orange Institute ), je rentre avec une conviction : tout ce que nous connaissions du web va changer à nouveau avec le phénomène des big data . Il pose à nouveau, sur des bases différentes, presque toutes les questions liées à la transformation numérique. En 2008, l’humanité a déversé 480 milliards de Gigabytes sur Internet. En 2010, ce furent 800 milliards de Gygabytes, soit, comme l’a dit un jour Eric Schmidt, plus que la totalité de ce que l’humanité avait écrit, imprimé, gravé, filmé ou enregistré de sa naissance jusqu’en 2003. Ces données ne sont pas toutes des œuvres.

Big Data : faire du sens à grande échelle

http://owni.fr/2011/01/13/big-data-faire-du-sens-a-grande-echelle/
La Renault Twizy, nouvelle diva de l’automobile ? → TweetUtilisée récemment pour le tournage du clip de David Guetta, la petite voiture électrique Twizy de Renault est depuis devenue une véritable star ! http://www.digitalhunter.fr/?p=6029

CNN lance Ecosphere Project, un magnifique dispositif de visualisation de conversation twitter

Revealed – the capitalist network that runs the world - physics-math - 19 October 2011

AS PROTESTS against financial power sweep the world this week, science may have confirmed the protesters' worst fears. An analysis of the relationships between 43,000 transnational corporations has identified a relatively small group of companies , mainly banks, with disproportionate power over the global economy. The study's assumptions have attracted some criticism, but complex systems analysts contacted by New Scientist say it is a unique effort to untangle control in the global economy. Pushing the analysis further, they say, could help to identify ways of making global capitalism more stable. The idea that a few bankers control a large chunk of the global economy might not seem like news to New York's Occupy Wall Street movement and protesters elsewhere ( see photo ). http://www.newscientist.com/article/mg21228354.500-revealed--the-capitalist-network-that-runs-the-world.html
La veille hebdomadaire des journalistes de données d'OWNI vous propose cette semaine de vous data-situer dans l'humanité, de visualiser votre dîner ou encore d'ouvrir les données de la Bible... Présenter les volumes d’importations et d’exportations des pays du globe, depuis 1962 : complexe ? Un peu, mais the Observatory of Economic complexity (l’Observatoire de la complexité économique), ne recule pas devant la difficulté, comme son nom l’indique.

Les data en forme

http://owni.fr/2011/10/31/les-data-en-forme-2/
http://strata.oreilly.com/2011/10/un-population-data-visualizations.html

Visualization of the Week: 7 billion humans

<img alt="UN population countdown clock" src="http://radar.oreilly.com/2011/10/28/1011-countdown-clock.png" border="0" width="300" style="float: right;margin: 3px 0 10px 10px" /> The world population is expected to hit seven billion some time in the next few days. The United Nations has a countdown clock , of sorts, with a counter ticking steadily forward.
Wrapping your brain around data online can be challenging, especially when dealing with huge volumes of information. And trying to find related content can also be difficult, depending on what data you’re looking for. But data visualizations can make all of that much easier, allowing you to see the concepts that you’re learning about in a more interesting, and often more useful manner. Below are 50 of the best data visualizations and tools for creating your own visualizations out there, covering everything from Digg activity to network connectivity to what’s currently happening on Twitter. Music, Movies and Other Media Narratives 2.0 visualizes music.

50 Great Examples of Data Visualization

http://www.webdesignerdepot.com/2009/06/50-great-examples-of-data-visualization/

Historical Timeline of Computable Knowledge: 1900-1959

http://www.wolframalpha.com/docs/timeline/computable-knowledge-history-5.html 1900: National Physical Laboratory; National Bureau of Standards Using physics to create standards NPL in the UK and NBS in the US are founded to make measurements and standards using methods from physics. 1907: Chemical Abstracts

Junk Charts

Sometimes, a chart just strains your mind. Such is the case with the following, a tip from Augustine F. ( @acfou ) There are just so many percentages on the chart it's really hard to figure out which is which. Under the title, it hints that they are showing results from a poll. The legend implies that the poll asks for estimates of budget and revenue allocations: one imagines the questions were what proportion of your marketing budget is allocated to digital? and what proportion of your revenues is attributed to digital? http://junkcharts.typepad.com/junk_charts/
It can get pretty quiet here. I tend to post on Bostonography or Axis Maps a bit more often. Silence breaker, 2012 edition By Andy Woodruff on 25 November 2012

Blog

http://www.cartogrammar.com/blog/
Yesterday a bunch of friends were tweeting about the new LinkedIn InMaps web app (part of LinkedIn Labs ), so I had to check it out for myself. Wow, wow, wow! InMaps are data visualizations of your professional network , based on LinkedIn connections, with you as the center node. I’ve been waiting years for LinkedIn to finally get its act together and start offering up analytics based on all the data we willingly store within it — but rarely make use of.

Hubs and Connectors: Understanding Networks Through Data Visualization

Visualizing The Web & Social Networks

May 26, 2010 Posted by Suzanne Marlatt Edelman Digital, Chicago Follow on Twitter @edelmandigital Seeing is believing and visuals are powerful.