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Data visualization chart

Data visualization chart
Related:  Data Vizmpaige514

Junk Charts [datavisualisation] « Je sais ce que vous faites sur Internet » Hey ! De nombreux sites que vous fréquentez quotidiennement sont toujours très heureux de recueillir des informations vous concernant. Bon, pas sur évidemment ;-). La montée en puissance des sites de partage sociaux comme Facebook, Pinterest, Google, Pandora, ou encore Twitter sont basés sur la collecte d’informations et offrent de nouvelles problématiques intéressantes dans la façon dont nos données sont utilisées. Voici donc une visualisation de données qui présente les grands sites sociaux et les types de données qui sont collectées. [voir l'image en grand] Au passage, on appréciera aussi le style graphique de cette visualisation de données, un style qui a su rester simple et élégant avec, comme souvent, une approche vintage tant au niveau des couleurs, que des formes graphiques ou de la composition source Ces articles peuvent aussi vous intéresser:

How to be a data journalist Data journalism is huge. I don't mean 'huge' as in fashionable - although it has become that in recent months - but 'huge' as in 'incomprehensibly enormous'. It represents the convergence of a number of fields which are significant in their own right - from investigative research and statistics to design and programming. The idea of combining those skills to tell important stories is powerful - but also intimidating. Who can do all that? The reality is that almost no one is doing all of that, but there are enough different parts of the puzzle for people to easily get involved in, and go from there. 1. 'Finding data' can involve anything from having expert knowledge and contacts to being able to use computer assisted reporting skills or, for some, specific technical skills such as MySQL or Python to gather the data for you. 2. 3. 4. Tools such as ManyEyes for visualisation, and Yahoo! How to begin? So where does a budding data journalist start? Play around. And you know what?

Profession d'origine des députés en Europe L’histoire de la démocratie repose-t-elle sur la séparation progressive du pouvoir politique et du pouvoir économique ? Longtemps, seuls les plus riches ont pu voter et être élus. Les luttes pour l’instauration du suffrage universel, puis d’une indemnité parlementaire (« Le salaire de la politique ») démontrent qu’il fallut des décennies pour (...) L’insolence des spéculateurs suscite une vive opposition populaire et contraint les gouvernements à prendre quelques distances avec la finance. Ceux qui signent les chèques vont-ils continuer à écrire les lois (...) Une autre visualisation pour Google Analytics… Vous le savez sûrement, j’apprécie terriblement toutes les formes que prennent la visualisation de données. Alors ce matin, je vous présente un travail une série de concepts de visualisation des données de Google. Ces images sont toutes des interfaces basées sur le concept d’agrégation et de visualisation en ligne dans différents médias sociaux… Développé en tandem avec Google Analytics, ces outils interactifs permettent aux utilisateurs d’explorer les statistiques et les médias sociaux sur la durée. > Pour infos le client est Google et l’agence qui a développé ça est l’agence Instrument Ces articles peuvent aussi vous intéresser:

Data science We’ve all heard it: according to Hal Varian, statistics is the next sexy job. Five years ago, in What is Web 2.0, Tim O’Reilly said that “data is the next Intel Inside.” But what does that statement mean? Why do we suddenly care about statistics and about data? In this post, I examine the many sides of data science — the technologies, the companies and the unique skill sets. The web is full of “data-driven apps.” One of the earlier data products on the Web was the CDDB database. Google is a master at creating data products. Google’s breakthrough was realizing that a search engine could use input other than the text on the page. Flu trends Google was able to spot trends in the Swine Flu epidemic roughly two weeks before the Center for Disease Control by analyzing searches that people were making in different regions of the country. Google isn’t the only company that knows how to use data. In the last few years, there has been an explosion in the amount of data that’s available.

Mike Kruzeniski – How Print Design is the Future of Interaction This post describes “How Print Design is the Future of Interaction,” a talk I gave at SXSW Interactive on March 12, 2011. The slides from the talk are available to view on Slideshare, and you can see some of the discussion that followed on Twitter here. Introduction There are three areas that I covered in the talk. When I talk about “Print” here, I’m not interested in the literal transfer of printed media on to screen, like we see in some applications which try to recreate the exact textures and layouts of newspapers, for example. A Brief History of Interaction Design If we trace the history of modern User Interface, it all begins with Vannevar Bush’s Memex machine. At the very least, the Memex was an important inspiration for the first computer designs at SRI and Xerox PARC, which formed the foundation for the PC’s we use and live with today. Fast forward years later to modern PC interfaces and you can see those same initial metaphors and design patterns have firmly cemented themselves.

Manuel Lima His first book Visual Complexity: Mapping patterns of information has been translated into French, Chinese, and Japanese. His latest The Book of Trees: Visualizing Branches of Knowledge, published in April 2014 by Princeton Architectural Press, covers over 800 years of human culture through the lens of the tree figure, from its entrenched roots in religious medieval exegesis to its contemporary, secular digital themes. With more than twelve years of experience designing digital products, Manuel has worked for Codecademy, Microsoft, Nokia, R/GA, and Kontrapunkt. Four Easy Visualization Mistakes to Avoid Creating a great visualization is not as hard as it seems. Provided you have some interesting data and an effective tool with which to visualize it, a little bit of thoughtful design will lead to a decent result. That said, there are some mistakes that are very easy to make, but can ruin even a thoughtfully-made piece. Here are four data visualization mistakes you should avoid. 1. Which comes first: the presentation or the data? (source) 2. We all know the feeling of finding a dataset that is rich and easy to visualize, with numerous usable categorical and numerical fields. (source) 3. Enabling users to use and interact with a visualization makes it more engaging and engrossing. (source) 4. Often, your first idea is not the best idea. (source) There is no perfect visualization, but if you can manage to stay away from these four mistakes, yours will have a much better chance of getting close to perfection.

Visualisation de données des rumeurs sur Twitter ! Pendant les émeutes à Londres l’été dernier, beaucoup d’informations se sont propagées rapidement via Twitter sur ??ce qui se passait. Une partie de cette information était vraie et, comme souvent, l’autre partie était constituée de rumeurs, de choses fausses, etc. Le site du Guardian a donc mis en place une façon interactive afin d’explorer cette diffusion de l’information sur Twitter, et pour mieux comprendre comment la réalité et la fiction se révèlent par elles-mêmes Cette analyse basée sur de 2,6 millions de tweets nous suggère que les utilisateurs de Twitter sont capables de corriger la désinformation… jusqu’à un certain point bien-sûr ! source Ces articles peuvent aussi vous intéresser:

Cataplexy is the sudden loss of muscle tone that is triggered by the experience of an intense emotion. The word cataplexy comes from the Latin word “cataplessa” which means, “to strike down with fear or the like” [1]. Cataplexy is the result of an absence of the hypocretin (also known as orexin) neurotransmitter in the hypothalamus. Although it is commonly linked to the syndrome narcolepsy, it may be associated with other pathological conditions. In this review, we will specifically focus on cataplexy and describe its clinical features, its association with the neurotransmitter hypocretin and the human leukocyte antigen DQB1*0602, as well as treatment options. Clinical characteristics The sudden loss of muscle tone in cataplexy is similar to rapid eye movement (REM)-associated muscle atonia during sleep, but it is occurring during wakefulness. A cataplectic attack is sudden in onset and is localized to a specific muscle group or parts of the body. HLA typing The hypocretin system Summary