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Data Visualization: Modern Approaches About The Author Vitaly Friedman loves beautiful content and doesn’t like to give in easily. When he is not writing or speaking at a conference, he’s most probably running … More about Vitaly Friedman … Data presentation can be beautiful, elegant and descriptive. There is a variety of conventional ways to visualize data - tables, histograms, pie charts and bar graphs are being used every day, in every project and on every possible occasion. Data presentation can be beautiful, elegant and descriptive. So what can we expect? Let’s take a look at the most interesting modern approaches to data visualization as well as related articles, resources and tools. 1. Trendmap 2007 presents the 200 most successful websites on the web, ordered by category, proximity, success, popularity and perspective in a mindmap. 2. Newsmap is an application that visually reflects the constantly changing landscape of the Google News news aggregator. 3. 4. 5. 6.

The globe of economic complexity About close x The Globe of Economic Complexity The globe of economic complexity dynamically maps out the entire world production of goods to create an economic landscape of countries around the globe. The original Atlas of Economic Complexity The Globe is built upon The Atlas of Economic Complexity, a powerful interactive tool that enables users to visualize a country’s total trade, track how these dynamics change over time and explore growth opportunities for more than a hundred countries worldwide. The Center for international development Associated Paper This project will be featured at the 2015 IEEE VIS conference in Chicago. Data Used Technology This visualization was built with webGL, a new graphics library that enables to create new 3D worlds in the browser. Contact Aknowledgements We would like to thank Marcela Escobari, Ricardo Hausmann, Gus Wezerek and Tim Cheston for their insight and support.

Tools The Social Media Research Foundation sustains the development of social media network analysis software. So far, it has supported the creation and dissemination of the NodeXL tool: NodeXL The Network Overview Discovery and Exploration Add-in for Excel (2007 / 2010 / 2013 / 2016) is an extension to the familiar Excel spreadsheet that helps collect, visualize and interpret social media networks. The Social Media Research Foundation is dedicated to making tools that help people understand social media and social networks. We produce NodeXL Basic which is available freely and openly to all. NodeXL Pro offers advanced features for importing social media data, calculating social network metrics, sentiment analysis, and publishing reports. NodeXL Pro is licensed to users on an annual basis: Registration keys will be required to run NodeXL Pro starting in October 2015! Contact for details! Your support keeps the NodeXL project active and strong, please upgrade to NodeXL Pro.

The Simple Way to Scrape an HTML Table: Google Docs Raw data is the best data, but a lot of public data can still only be found in tables rather than as directly machine-readable files. One example is the FDIC’s List of Failed Banks. Here is a simple trick to scrape such data from a website: Use Google Docs. The table on that page is even relatively nice because it includes some JavaScript to sort it. After some digging around – and even considering writing my own throw-away extraction script –, I remembered having read something about Google Docs being able to import tables from websites. To extract a table, create a new spreadsheet and enter the following expression in the top left cell: =ImportHtml(URL, "table", num) URL here is the URL of the page (between quotation marks), “table” is the element to look for (Google Docs can also import lists), and num is the number of the element, in case there are more on the same page (which is rather common for tables).

Revue Le français aujourd'hui 2005/2 Page 3 à 6 Présentation. la littérature de jeunesse, repères, enjeux et pratiques Page 7 à 19 Débat sur les évolutions de la littérature de jeunesse, entre création, édition et enseignement Page 23 à 34 Critiquer la littérature de jeunesse : pistes pour un bilan et des perspectives Page 35 à 44 Le paradoxe du lecteur Page 45 à 53 Que faire des stéréotypes que la littérature adresse à la jeunesse ? Page 55 à 63 Regards sur l'enseignement de la littérature de jeunesse au Québec Page 67 à 73 Faire œuvre avec les œuvres Page 75 à 81 Lancer une année de lecture littéraire en sixième Page 85 à 92 Lire un même album de la maternelle à la seconde Page 93 à 101 Lire sacrées sorcières de roald dahl en sixième et en première année de lettres modernes la lutte de deux stratégies de lecture Page 105 à 110 Chronique poésie Valérie Rouzeau ou le poème libre Page 111 à 116 Chronique « histoire de l'enseignement » pratique littéraire de l'écriture à l'école primaire, qu'est-ce qui est en jeu ? Page 117 à 124 Page 126 à 128

The Functional Art: An Introduction to Information Graphics and Visualization Presenting gvSIG Online: the solution for Spatial Data Infrastructures on Open Source software During the last International gvSIG Conference a new product added to the gvSIG Association catalogue was presented for the first time. We think it will be well received because it meets an every time more and more need to have a solution for implementing Spatial Data Infrastructures, using open source software and reducing implementation costs of the current market alternatives. gvSIG Online is result of the experience accumulated by the gvSIG Association at the Spatial Data Infrastructure projects implementation of all types and in any sector, from petrol companies to local administrations. But, what is gvSIG Online? “gvSIG Online is an integral platform for the Spatial Data Infrastructure (SDI) implementation, 100% open source software. In a series of posts we are going to present all the functionalities of this solution. Finally an alternative to Arc*** Online proprietary solutions! Like this: Like Loading...

Pegasus Data Project | Plate-forme d'expérimentation en humanités numériques, réseaux sociaux, Twitter, influence sur le web et visualisation de données