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World Bank Dataviz

World Bank Dataviz

Visualized: Over 4 Million Micro-Loans Fly Around the Globe Kiva is a company that facilitates micro-loans between people from all over the world; incidentally, nothing to do with the Finnish KiVA. With the help of this non-profit, anyone can donate as little as $25 or as much as the sum of any single loan — you can read the stories of many different people seeking financial support across the globe; there are students, farmers, entrepreneurs and those looking to improve their physical living conditions. Kiva released a video visualizing the micro-loans that happened across the world in its five-year lifespan — a total of 4 million loans in 4 minutes: 620,000 lenders funding 615,000 entrepreneurs. Get inspired, and make a loan today — it’s a simple way to help a real person.

Apps for Development The Overview Project » How Overview turns Documents into Pictures Overview produces intricate visualizations of large document sets — beautiful, but what do they mean? These visualizations are saying something about the documents, which you can interpret if you know a little about how they’re plotted. There are two visualizations in the current prototype version of Overview, and both are based on document clustering. The first is the items plot, which grew out of the proof-of-concept system we presented a year ago. Every document is a dot. Similar documents get pulled together to form visible groups, that is, clusters. Overview also has a “tree” view. The tree view and the items plot show the same thing, just in different ways. Extracting Key Words All of Overview’s clustering depends on grouping similar documents together, but what does that mean? But Overview doesn’t know any of this. Two documents are similar if they have overlapping sets of key words. Where do those documents go? The tree view finds not only clusters but sub-clusters.

Remittance flows This visualization shows the global movements of money due to remittances (money sent by migrants to their home country). UPDATE: This version is using the last available dataset (2012). Learn more about remittances INTERACTION Click on a country to see the remittance flows. DETAILS Data used: "Bilateral remittance estimates using migrant stocks, destination country incomes, and source country incomes" for 2012 (World Bank) which can be downloaded here. segese - Logiciel de Système Expert de Gestion Socio-économique Intelligence Artificielle SEGESE Professionnel sous Windows Logiciel de Système Expert de Gestion Socio-économique : l'intelligence artificielle au service du management socio-économique SEGESE Professionnel est un logiciel très performant qui permet de réaliser le traitement automatisé des diagnostics de dysfonctionnement dans une entreprise ou une organisation selon la méthode socio-économique. Cette méthode d'intervention qui s'appuie sur un inventaire des dysfonctionnements dans l'organisation, a été créée et développée par le Professeur Henri Savall , Véronique Zardet, Marc Bonnet et l'équipe de l'ISEOR. SEGESE Professionnel sous Windows version 3.01 est un outil performant et convivial : Cette version permet à l'utilisateur de réaliser un diagnostic approfondi c'est-à-dire : Configuration SEGESE Professionnel fonctionne sur micro-ordinateur de type IBM PC, il nécessite : Protection Maintenance Coût Interface Windows simple et conviviale Les logiciels SEGESE en cours de développement

Pulse of the Nation: U.S. Mood Throughout the Day inferred from Twitter Click for high-resolution PDF version (11MB) Video A time-lapse video of the maps, cycled twice, is available below (best viewed at 720p): Mood Variations A number of interesting trends can be observed in the data. Similar variations were discovered independently by Michael Macy and Scott Golder, and first reported in the talk "Answers in Search of a Question" at the New Directions in Text Analysis Conference in May 2010. Weekly Variations Weekly trends can be observed as well, with weekends happier than weekdays. About the Data and Visualization The plots were calculated using over 300 million tweets (Sep 2006 - Aug 2009) collected by MPI-SWS researchers [1], represented as density-preserving cartograms. About Cartograms A cartogram is a map in which the mapping variable (in this case, the number of tweets) is substituted for the true land area. Who We Are We are researchers from Northeastern University and Harvard University, studying the characteristics and dynamics of Twitter. Coverage

Distribution of wealth World Distribution of Wealth and Population in the Year 2000 The distribution of wealth is a comparison of the wealth of various members or groups in a society. It differs from the distribution of income in that it looks at the distribution of ownership of the assets in a society, rather than the current income of members of that society. Definition of wealth[edit] Wealth is a person's net worth, expressed as: The word "wealth" is often confused with "income". change of wealth = income − expense. A common mistake made by people embarking on a research project to determine the distribution of wealth is to use statistical data of income to describe the distribution of wealth. If an individual has a large income but also large expenses, her or his wealth could be small or even negative. The United Nations definition of inclusive wealth is a monetary measure which includes the sum of natural, human and physical assets.[2][3] Statistical distributions[edit] Charity[edit] Wealth surveys[edit]

MALLET homepage Nigel Holmes on 50 Years of Designing Infographics 1. Un panorama de la socio-économie Accéder aux articles de ce numéro sur CAIRN... Dans ce premier numéro « Panorama », la toute nouvelle Revue française de socio-économie se propose de donner le « la » de sa politique éditoriale : développer une connaissance économique qui, sans rien perdre en rigueur scientifique, se nourrit de la collaboration disciplinaire et qui, sans réductionnisme ni ésotérisme, vise à la compréhension effective des économies modernes dans toutes leurs dimensions sociales. Les articles proposés mêlent à la fois des postures programmatiques, épistémologiques ou institutionnalistes, et des approches inductives dont la démarche socioéconomique revendique la pleine légitimité. S’attaquant à des sujets économiques contemporains, ces articles s’émancipent des catégories médiatiques du sens commun et contribuent à en éclairer les véritables implications politiques. Éditorial : Bernard CONVERT, Florence JANY-CATRICE, Richard SOBEL. Un panorama de la socio-économie française : Notes critiques

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