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DATA visualisation. 20 Fresh JavaScript Data Visualization Libraries. There are plenty of JavaScript libraries out there for rendering your otherwise plain and boring numerical data into beautiful, interactive, and informative visualizations.

20 Fresh JavaScript Data Visualization Libraries

The beauty of using JavaScript for data visualization is that, if created correctly, your data will be highly accessible (usually via HTML tables). A long time ago (2008), I wrote about JavaScript solutions for graphing and charting data and this article revisits the topic with twenty more JavaScript libraries that you can use to bring your data to life. 1. Highcharts Highcharts is one of the most promising JavaScript charting libraries to hit the scene recently, with its large array of features including seven charting types (line, pie, and bar among them), the ability to zoom in and out of charts, and tooltips for offering more information about data points. 2. gRaphaël gRaphaël is a charting library based on Raphaël, a vector graphics drawing JavaScript library. Crossfilter. Fast Multidimensional Filtering for Coordinated Views Crossfilter is a JavaScript library for exploring large multivariate datasets in the browser.


Crossfilter supports extremely fast (<30ms) interaction with coordinated views, even with datasets containing a million or more records; we built it to power analytics for Square Register, allowing merchants to slice and dice their payment history fluidly. Since most interactions only involve a single dimension, and then only small adjustments are made to the filter values, incremental filtering and reducing is significantly faster than starting from scratch. Crossfilter uses sorted indexes (and a few bit-twiddling hacks) to make this possible, dramatically increasing the perfor­mance of live histograms and top-K lists. For more details on how Crossfilter works, see the API reference. Example: Airline on-time performance February 28, 2001. / watercolor. Cartographie politique. Francis Alÿs, The green line.

Cartographie politique

Visualizing The Frightening Power of Nuclear Bombs. We have all heard about the massively destructive force that is nuclear weaponry, with the astonishing end of World War II to prove it.

Visualizing The Frightening Power of Nuclear Bombs

The world was caught off guard by the utter destruction of Hiroshima and Nagasaki after the U.S. dropped the 15 kiloton Little Boy and 21 kiloton Fat Man. The two Japanese cities were leveled in seconds, killing hundreds of thousands from the initial blast and later radiation poisoning. It would be difficult to call their impact small, but those bombs were only a shadow of the weapons to come. Following the war, with the growing Cold War and nuclear arms race between the U.S.S.R. and the U.S., devastatingly large bombs were introduced, growing in size and destructive power with each year. The pinnacle of nuclear bomb development came with the aptly named Tsar Bomba, which the Russians nicknamed the Kuz’kina Mat (roughly translating to “we will show you”).

In case you wanted a better sense of scale, here is a much reduced version of the graphic. Le Paper Globe — a DIY paper terrestrial globe. Timeline. The Evolution of the Web. Cambridge Data Mash-Up. Invalid quantity.

Cambridge Data Mash-Up

Please enter a quantity of 1 or more. The quantity you chose exceeds the quantity available. Census 2011 Australia. Les aliments les plus surconsommés par département - Journal du Net Economie. Les Parisiens achètent trois fois plus de caviar et de soupe fraîche que la moyenne des Français mais 68% de desserts glacés en moins.

Les aliments les plus surconsommés par département - Journal du Net Economie

Découvrez les habitudes alimentaires de votre département. Les habitants de la Sarthe (72), département où se trouve Le Mans, achètent 5 fois plus de rillettes que la moyenne des Français mais ne sont en revanche guère amateurs de conserves de viande, de pâtes fraîches ou encore... de caviar. Four Ways to Slice Obama’s 2013 Budget Proposal - Interactive Feature. Looking 4 data visualization: Charts. Welkin. What is this?


Welkin is a graph-based RDF visualizer. What's New in Version 1.1 Works on Windows, Linux and MacOSX. Added support for Turtle/N3 RDF syntax. Dramatically reduced size for increased startup performance. Ok, how do I run it? The easiest way is to run Welkin thru Java WebStart. If the application doesn't start when you click the link above, you don't have Java WebStart installed in your machine.

Cool, now what? Welkin visualizes RDF models. A word of warning: above 1000 nodes, real-time drawing performance degrades dramatically even on beefy machines. d3.js. VENDREDI C’EST GRAPHISM! S02E39. De l'expérimentation HTML5, de la dataviz Facebook, un clip dessiné 100% à la main et image par image et du pixel art ?


Vendredi c'est Graphism' ! Bonjour… et bienvenue pour un numéro de “Vendredi c’est Graphism” d’hiver ! Et oui, la nuit va commencer à tomber plus tôt et les gens à s’enrhumer. Je vous conseille de rester bien au chaud et de lire “Vendredi c’est Graphism” ;-). Surtout qu’au programme de cette semaine, je vous propose de l’expérimentation HTML5 “Lights”, une dataviz signée Facebook, de la musique.. mais sous forme de livre ou un clip dessiné 100% à la main, image par image !

C’est bon, vous y êtes, c’est Vendredi et c’est… Graphism ! Geoffrey. Data Visualization. Budget - 2012 - Appropriations - Tree Map. DATA visualisation.