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Welcome - OpenSpending

Welcome - OpenSpending

Creating Animated Bubble Charts in D3 - Jim Vallandingham Update: I moved the code to its own github repo - to make it easier to consume and maintain. Update #2 I’ve rewritten this tutorial in straight JavaScript. So if you aren’t that in to CoffeeScript, check the new one out! Recently, the New York Times featured a bubble chart of the proposed budget for 2013 by Shan Carter . As FlowingData commenters point out , the use of bubbles may or may not be the best way to display this dataset. In this post, we attempt to tease out some of the details of how this graphic works. #Simple Animated Bubble Chart In order to better understand the budget visualization, I’ve created a similar bubble chart that displays information about what education-based donations the Gates Foundation has made. You can see the full visualization here And the visualization code is on github **Warning Coffeescript** The example is written in [CoffeeScript]( as I find it much easier to read and write than javascript. #D3’s Force Layout #nodes #gravity #alpha

Bathymetry Data Viewer - NOAA ●Contact Us Navigating the map Click and drag or use arrow keys to pan Mouse scroll forward or use + key to zoom in Mouse scroll backward or use - key to zoom out Identifying features You have several options to identify features within visible layers: Single-click on the map Or, choose another tool from the "Identify" menu: Click on to draw a rectangle Click on to draw a polygon Click on to enter coordinates for a bounding box A popup will appear with a list of the selected features. Mouse-over the list of files within an instrument folder to highlight features on the map (blue line). Click the magnifying glass icon to zoom to that feature. Searching for data Filter Surveys: opens a dialog where you can specify a desired range of survey years, survey ID, and ship name (wildcards accepted: *).

News and Analysis | Diastole | Wealth Management Another week of mixed economic news did not deter equity markets from climbing. The Standard & Poor’s 500 finished last week at a record high of 1859, the Dow Jones Av-erage closed at 16,321, and the Nasdaq Composite ended at 4308. Contrary to expectations that interest rates might rise sharply as the Fed pulled back from its bond buying program, the ten-year Treasury finished the week with a yield of 2.65% Crude oil was up to 102.59, and gold is staging a comeback after a disappoint-ing 2013 – closing at 1328.20. Consumer confidence was up in January, but GDP growth was revised downward to 2.4% for the fourth quarter of 2013. The Treasury Department reported that the Federal budget deficit for 2013 dropped to $680 billion from about $1.1 trillion in 2012. In January, orders for durable goods (excluding transportation) unexpectedly rose 1.1% after falling 1.9% in December. A Bitcoin crisis is developing as Mt. Delta has announced a revamping of its rewards program.

European PSI Scoreboard : un outil de comparaison des pays européens en matière d'open data L'ePSI Platform a mis à la disposition des internautes l'ePSI Scoreboard, graphe interactif permettant de comparer l'avancement des pays membres de l'Union européenne en matière d'ouverture des données publiques. L'ePSI Platform a mis au point l'ePSI Scoreboard, un outil de benchmark des pays européens sur l'ouverture de leurs données publiques. Encore à l'état de Bêta, l'ePSI Scoreboard est complet depuis le 13 mars dernier, avec l'ajout des données de l'Autriche, de la République Tchèque et du Royaume-Uni. Le principe est simple : noté sur un score global de 700, chaque Etat se voit attribuer un certain nombre de points selon qu'ils remplissent tel ou tel critère favorisant l'open data. Sept catégories sont distinguées : l'application de la directive PSI de 2003, la pratique de la réutilisation, les formats, la tarification, la présence ou non d'accords d'exclusivité, les données publiques locales et enfin les évènements et activités dédiés à l'open data. Source : epsiplatform

Liberté pour les données de Santé | Initiative transparence santé, le blog Create with Fusion Tables - Fusion Tables Help Create with Fusion Tables These tutorials step you through using Fusion Tables’ features to accomplish neat things with your data. See what others have done in the Example Gallery. Basic tutorials Get started using Fusion Tables: Create a map Turn a table of locations into a map. Extending your knowledge Gathering data Create: Collaborative data gathering Give everyone their own table to update, while keeping the eagle-eye view on all of it. Maps Make an intensity map with custom boundaries Display polygons in different colors according to values in your data. Publishing / Embedding Embed visualizations in Google Sites Work around the JavaScript restrictions in Google Sites Merge tricks Use merge to apply map styles by category Want a different icon or color for the map? Working with other tools Use Overlays in Google MapMaker Host your location data in Google Fusion Tables to help while editing Google MapMaker. Search Clear search Close search Google apps Main menu

Ushahidi LEGO SERIOUS PLAY - BUILD YOUR WAY TO BETTER BUSINESS PublicData.eu - Europe's Public Data Open-data et format - Kune.fr Il n’y a pas de doute, l’open-data est un sujet qui a une place importante aujourd’hui dans l’éco-système numérique. Il fait un peu suite, à mon avis, à la montée en puissance de l’open-source. L’édition numérique, aujourd’hui, est menée par ces logiciels libres, qu’ils soient moteurs de blogs, CMS, logiciels … J’essaye de faire le parallèle entre ces 2 choses car l’open-data a de quoi apprendre du logiciel libre. Tout d’abord, l’essence même d’un logiciel libre, tout comme pour l’open-data, c’est la communauté qu’il fédère autour de lui. Pour que l’utilisation soit aisée, il est impératif que le format utilisé possède une base solide de structuration. Une base de données est un conteneur servant à stocker des données : des renseignements bruts tels que des chiffres, des dates ou des mots, qui peuvent être retraités par des moyens informatiques en vue de produire une information; par exemple, des chiffres et des noms assemblés et triés pour former un annuaire téléphonique. [...]

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