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Looking 4 data visualization

Looking 4 data visualization
. Récapitulatif mensuel des tweets les plus influents sur le domaine de la datavisualisation : + de 18 400 tweets ont été publiés avec le hashtag #dataviz au mois de Juillet (une progression de 120% par rapport à l'année dernière). . Les cinq tweets les plus influents ont été publiés par les comptes @evalu8r, @erikstokstad, @drchriscole, @randal_olson et @advnturecaptlst. . Au programme : Une liste d’influenceurs, experts femme en datavisualisation, une analyse en réseau avec un ‘chord diagram’ des flux de nourriture aux Etats Unis, un graphique old school sous excel, comment sont perçus les americains dans le monde et une sélection d’articles et de nouvelles sur la datavisualisation. Not happy I had to write this new blog post: An Incomplete List of Females in #dataviz : — Stephanie Evergreen (@evalu8r) 9 Juillet 2014

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User:Poulpy/gallery From Wikimedia Commons, the free media repository Sun Dec 30 04:33:54 CET 2012[edit] Kabufuda card: 1 (alternate design)Kabufuda card: 1 (standard design)Kabufuda card: 4 (alternate design)Kabufuda card: 4 (standard design)Kabufuda card: blank card Sat Dec 29 19:07:46 CET 2012[edit] errors[edit] Bergamo deck - 6 of CoinsBergamo deck - Jack of CupsBergamo deck - King of CupsBergamo deck - Knight of CupsBergamo deck - 2 of SwordsBergamo deck - 3 of SwordsBergamo deck - 4 of SwordsBergamo deck - 5 of SwordsBergamo deck - 6 of SwordsBergamo deck - 7 of SwordsBergamo deck - Ace of SwordsBergamo deck - King of SwordsBergamo deck - Knight of SwordsBergamo deck - 2 of WandsBergamo deck - 3 of WandsBergamo deck - 4 of WandsBergamo deck - 5 of WandsBergamo deck - 6 of WandsBergamo deck - 7 of WandsBergamo deck - Ace of WandsBergamo deck - Jacks of WandsBergamo deck - King of WandsBergamo deck - Knight of Wands

Interactive Dynamics for Visual Analysis Graphics Jeffrey Heer, Stanford University Ben Shneiderman, University of Maryland, College Park The increasing scale and availability of digital data provides an extraordinary resource for informing public policy, scientific discovery, business strategy, and even our personal lives. To get the most out of such data, however, users must be able to make sense of it: to pursue questions, uncover patterns of interest, and identify (and potentially correct) errors. Health InfoScape When you have heartburn, do you also feel nauseous? Or if you're experiencing insomnia, do you tend to put on a few pounds, or more? By combing through 7.2 million of our electronic medical records, we have created a disease network to help illustrate relationships between various conditions and how common those connections are. Take a look by condition or condition category and gender to uncover interesting associations.

Maptitude Geographic Information System and mapping software Mapping made easy Answer a few simple questions and Create-a-Map Wizard™ makes a map at any scale, from all of the countries of the world, to streets around an address, landmark, or intersection. With a few clicks of the mouse, MapWizard® automatic mapping technology helps you create color and pattern maps, dot-density maps, scaled-symbol maps, and maps with integrated pie or bar charts. You can customize the colors, styles, and labels in your map.

SPARQL Query Language for RDF W3C Recommendation 15 January 2008 New Version Available: SPARQL 1.1 (Document Status Update, 26 March 2013) The SPARQL Working Group has produced a W3C Recommendation for a new version of SPARQL which adds features to this 2008 version. Please see SPARQL 1.1 Overview for an introduction to SPARQL 1.1 and a guide to the SPARQL 1.1 document set. How to make infographics: a beginner’s guide to data visualisation As a growing number of international NGOs are using infographics, charts and interactive maps to share success and highlight disaster, how can organisations with less resources create high quality visualisations without having to pay to outsource them? We’ve put together a beginner’s guide for visualising development data. Organising your data The first thing you need to do is have a clear idea of the data you want to visualise. Are you trying to highlight a particular disparity between money spent in one place and another?

Plotting the Expansion of the US Through Post Offices This post was written by Andy Kirk, founder and editor of Andy will be guest editing Information Aesthetics for a short period while Andrew takes a well earned break. Another of the most discussed and viewed projects over the past week has been the visualization by Derek Watkins [] which presents an animated sequence of the expansion of the US depicted by the spread of post offices. You can read in detail about Derek's data gathering and design process in his blog post but in a nutshell he scraped post office location information from the USPS Postmaster Finder, plotted their lat/long coordinates and developed the animated visualization using Processing. The result is a fascinating historical journey through the expansion of the US as it transforms from the lopsided weight of population in the East to the development of the West. You can view the animated visualization via the embedded video below or in higher quality HD and 1080p on vimeo.

Getting started with visualization after getting started with visualization It's easy these days to get started with visualization. There are a lot of resources — books, tutorials, blogs, and classes — to help you learn, and the many new and old software applications let you work with data right away, point and click. You don't have to stop here though.

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