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Les 20 meilleurs outils de datavisualisation au banc d’essai

Les 20 meilleurs outils de datavisualisation au banc d’essai

Related:  DataSystèmes d'Information

christopheviau Intro Data-Driven Documents, or D3 for short, is a new visualization library to build visualizations in SVG. But in my opinion, it's also the best javascript multipurpose SVG library when it comes to animation, interaction and above all for binding data to graphics. Chromogram To investigate how participants in Wikipedia allocate their time, we created a visualization technique, the Chromogram, that can display very long textual sequences through a color coding scheme. The first three letters of a string determine color in a Chromogram. The first letter determines the hue; the second letter the saturation, and the third the brightness.

Technological challenges of participatory smart cities About this course The course is a high level introduction to the constituents of the smart cities’ digital infrastructures, from the network up to the software layers. The proposed survey highlights the technical aspects to be taken into account to create practical services and to develop smarter cities involving citizen participation. 20+ Tools to Create Your Own Infographics A picture is worth a thousand words – based on this, infographics would carry hundreds of thousands of words, yet if you let a reader choose between a full-length 1000-word article and an infographic that needs a few scroll-downs, they’d probably prefer absorbing information straight from the infographic. What’s not to like? Colored charts and illustrations deliver connections better than tables and figures and as users spend time looking back and forth the full infographic, they stay on the site longer. Plus, readers who like what they see are more likely to share visual guides more than articles.

Fundamentals Last updated 2015 September 10 These tutorials address an older version of D3 (3.x) and will no longer be updated. See my book Interactive Data Visualization for the Web, 2nd Ed. to learn all about the current version of D3 (4.x). Working with D3 requires an appreciation of the following concepts. Hypertext Markup Language is used to structure content for web browsers. The simplest HTML page looks like this: Hadoop Illuminated You probably heard the term Big Data -- it is one of the most hyped terms now. But what exactly is big data? Big Data is very large, loosely structured data set that defies traditional storage 3.2.

38 tools As we enter the Big Data era, it becomes more important to properly expand our capacity to process information for analysis and communication purposes. In a business context, this is evident as good visualisation techniques can support statistical treatment of data, or even become an analysis technique. But also, can be used as a communication tool to report insights that inform decisions. Today there are plenty of tools out there that can be used to improve your data visualisation efforts at every level. Below we list a non-exhaustive list of resources.

Top Scientific Conferences and Journals in InfoVis These are the top conferences and journals in the field of information visualization. It is intended as a supplement to my advice on breaking into the InfoVis scientific community, and gives newcomers an idea of the various venues to follow and submit to beyond the eponymous IEEE InfoVis conference. Since InfoVis research spans multiple areas, I have added multiple sections for not only InfoVis and visual analytics (VA), but also human-computer interaction (HCI) as well as application areas. Furthermore, I have arranged the conferences and journals in the list below roughly in order of prominence. This ranking is based on my own opinion and not necessarily backed up by formal facts. Feedback is welcome.

Three Big Qs in Big Data The Big Data battle is still on, most of organizations haven’t seen clear symbol to declare victory yet, though everyone is talking about “V” words these days: Volume, Velocity, Variety, and look for big Value; if switch the angle a bit, how to see Big Data in the lens of “Q”? 1. Quantity The growth of Data is exponential: The volume of business data worldwide is expected to double every 1.2 years.