A Brief History of Big Data. The history of Big Data as a term may be brief – but many of the foundations it is built on were laid long ago.
Long before computers (as we know them today) were commonplace, the idea that we were creating an ever-expanding body of knowledge ripe for analysis was popular in academia. Although it might be easy to forget, our increasing ability to store and analyze information has been a gradual evolution – although things certainly sped up at the end of the last century, with the invention of digital storage and the internet. With Big Data poised to go mainstream this year, here’s a brief(ish) look at the long history of thought and innovation which have led us to the dawn of the data age. Big Data : Big Culture ? Le pouvoir grandissant de la data et ses perspectives pour l'économie de la culture. Dans le cadre du Forum d'Avignon 2013, L'Atelier a réalisé une étude sur le pouvoir grandissant de la data et ses perspectives pour l'économie de la culture.
L'objectif de cette étude est d’analyser la façon dont l’industrie du Big Data influence les industries de la culture. L'étude de L'Atelier présente les mécanismes fondateurs du phénomène et les tendances avec lesquelles il faudra compter pour les années à venir. Elle propose également une définition du concept de Big Data, pour le relier aux réflexions menées par le Forum d’Avignon sur les nouveaux pouvoirs de la culture. Des éléments y sont décrits pour qualifier et quantifier dans quelle mesure l’industrie de la Data influence déjà les industries culturelles et quels sont les principaux enjeux de cette influence : opportunités, risques et nouveaux paradigmes.
En conclusion, l'étude propose des pistes de réflexion prospective autour de la question : « Comment l’écosystème de la culture peut-il prendre position? AWARDS - www.lucasinfografia.com. Open Source Alternative to InDesign. Adobe InDesign is a versatile desktop publishing application produced by Adobe Systems.
It can be used to create works such as posters, flyers, brochures, magazines, newspapers and books. InDesign can also publish content suitable for tablet devices in conjunction with Adobe Digital Publishing Suite. Graphic designers and production artists are the principal users, creating and laying out periodical publications, posters, and print media. InDesign’s features include publishing for multiple devices, print publishing, integration with other adobe apps, automation, liquid & alternate layout, extensibility and more. But like most of Adobe’s software, InDesign is priced very high at 699$. So, here we provide you with some free and open source alternatives to InDesign. 1) Scribus Scribus is a desktop publishing (DTP) application, released under the GNU General Public License as free software. Publications. 7 most common data visualization mistakes. In my last article, I mentioned some of the best tools for data visualization.
While all of them were powerful tools, they are only as useful as the hands they are in. Selection of the right tool is just the first step, the bigger job is to create an easy-to-understand visualization that makes data interesting and unambiguous. In dataviz, as in any other field, there are rules, best practices, guidelines and then there is common sense. And contrary to what we might believe, common sense gets ignored quite often, as we’ll see in the examples below. Let’s get started with a few most common mistakes! Numbers Don’t Add Up When you draw a pie, stacked-bar or stacked-area chart, the numbers should add up to 100. Can you see what’s wrong here? Also, if you don’t read the numbers and just observe the size of pies, you’ll get an impression that each of the three candidates has a close to third of the support. To avoid this mistake, double check your numbers and make sure you use standard tools.
New Challenges for Data Design. Infographic: What Do European Architects Actually Do? Créer des infographies. Www.designresearchsociety.org/docs-procs/DRS2010/PDF/120.pdf. Data vizualization. DensityDesign on Vimeo. Category: Atriums & Courtyards. BigData.pdf. 30 Simple Tools For Data Visualization. There have never been more technologies available to collect, examine, and render data.
Here are 30 different notable pieces of data visualization software good for any designer's repertoire. They're not just powerful; they're easy to use. In fact, most of these tools feature simple, point-and-click interfaces, and don’t require that you possess any particular coding knowledge or invest in any significant training.
Over the past few years I’ve been looking at lots of relief maps – i.e. those showing geographical topography, specifically land elevation, and I’m generally struck by two things. Firstly how the colour schemes commonly used seem too dominant, which seems to reduce the brain’s capacity for interpreting the geographical features being depicted. Here are the top Google Image hits for ‘world elevation map’: The R Project for Statistical Computing. Data. Data Flow - Book Review. Brief Review Data Flow is nicely produced and shows Information/ Data Visualisation from the more decorative part of the spectrum.
Reading it is less instructional than a rigorous Tufte tome but if it makes others think of this area as a place they would like to work then that cannot be bad. And It is important to balance one's rigour with some vigour - and this book supplies alot of energy and enthusiasm. Let me tell you why - Longer Review Initially was a bit unsure of this book but I have come round to it. My past was at BBC News, where we had a definite purpose and the brand values called for a no-nonsense approach to the interaction and information design problems at hand.