The Functional Art: An Introduction to Information Graphics and Visualization 50 Cognitive Biases to be Aware of so You Can be the Very Best Version of You The human brain is pretty tricky: While we think we know things, there’s a whole list of cognitive biases that can be gumming up the works. We’ve found 50 types of cognitive bias that come up nearly every day, in petty Facebook arguments, in horoscopes, and on the global stage. Along with their definitions, these are real-life examples of cognitive bias, from the subtle groupthink sabotaging your management meetings to the pull of anchoring making you spend way too much money at a store during a sale. Would you like to share this infographic on your page? Copy <a href=" src=" alt="50 Cognitive Biases Infographic" width="942" height="3156"></a><a href=" TitleMax.com</a> What Is Cognitive Bias? 50 Types of Common Cognitive Biases Copy
Global Health Observatory (GHO) data Global Strategy for Women's, Children's and Adolescents' Health (2016-2030): Data portal The Every Woman Every Child Global Strategy indicator and monitoring framework includes 60 indicators from health and other sectors. 34 indicators are from the Sustainable Development Goals (SDGs) and 26 from related global monitoring initiatives. From these, 16 key indicators are highlighted to provide a snapshot of progress. – Access the portal Global Observatory on Health Research and Development (R&D) Published following wide user feedback on a demonstration version, this is a centralized and comprehensive source of information and analyses on global health R&D activities. The Observatory will help governments, policy-makers, funders and researchers identify health R&D priorities based on public health needs and ensure that funds and resources are used to fill R&D gaps. – Access the Observatory fact buffet Child care Care seeking for pneumonia Health worker density Density of physicians 16.1 Violence
La méthode Atomic Thinking™ J’aimerais maintenant vous démontrer la rentabilité d’un tel système. Prenons pour exemple le domaine des finances personnelles. Imaginons que vous avez 1000€. Alors vous avez 2 choix : Investir dans un passif (une chose qui sort de l’argent de votre poche), par exemple une télévision qui vous rapportera de la satisfaction dans le court terme, mais dont la valeur diminuera avec le temps. Ou bien vous pouvez aussi investir dans un actif (une chose qui met de l’argent de votre poche), une action par exemple, qui vous rapportera 7 % d’intérêts par an et se cumulera avec le temps. L’inconvénient avec cette deuxième solution est le fait que l’on n’a pas de gratification immédiate. En revanche, en faisant un calcul simple, on se rend compte que dans 10 ans, on aura doublé l’argent investi ! Le même calcul se présente à vous à chaque fois que vous créez un contenu : Vous pouvez travailler sur le court terme en faisant des recherches et en réécrivant ce que vous comprenez des articles que vous lisez.
Our World in Data Information Management Unit This site publishes high-touch, time-intensive data visualizations (and has a business that sustains it) Over 7,000 artists played in the New York City area in 2013. Only 21 of those later made it, really made it, headlining at a venue with an over 3,000-person capacity — among them, bigger names like Chance the Rapper, X Ambassadors, Sam Smith, and Sylvan Esso. I learned this sort of random but fascinating tidbit from a data visualization titled “The Unlikely Odds of Making it Big,” from the site The Pudding. The Pudding is the home to high-touch, painstakingly crafted data visualizations — what the site calls “visual essays” — that are distinct in their obsessive complexity over points of cultural curiosity. Most pieces stand wholly apart from the U.S. news cycle; no anxiety-inducing interactives around budget, taxes, health care. Want to see everywhere jazz legend Miles Davis is mentioned across Wikipedia, and how he’s connected to other people, recordings, and places? “We’re all over the map. Our story backlog is now totally open again.
NACION Data- Blogs lanacion.com Agroindustria fue el segundo ministerio que adhirió al Decreto 117/2016 que creó el Plan de Apertura de Datos con el objetivo de garantizar el derecho de acceso a la información pública. A la fecha, ya son 3 los ministerios adheridos: Energía, Agroindustria y Justicia. En la plataforma se puede encontrar información relevante sobre producción, comercio, inversión, precios y padrones de todas las actividades agroindustriales del país. En algunos casos se puede acceder a información histórica, de períodos de tiempo que inician en 1969 y están actualizados a hoy. A continuación, presentamos un ejemplo sencillo de los análisis que se pueden aplicar a los dataset publicados por el ministerio. Al analizar las diversos datos y variables que ofrece el portal, se pueden encontrar algunos datos curiosos: Seguir leyendo Flickr.com/justgrimes Durante 2016 nuestro equipo compartió muchísimos momentos interesantes con la comunidad de datos abiertos y acceso a la información. Por Bianca Pallaro