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How the National Rifle Association Rates Lawmakers - Interactive Map. L’histoire d'Owni en 30〞 Rlacombe_fr : A giant step for #dataviz:... Datawrapper ist ein Projekt der ABZV. De Maastricht au traité budgétaire : les oui et les non de 39 personnalités politiques. Hadopi : 14 dossiers transmis aux tribunaux, ça fait quoi concrètement ? LaNetscouade : [LT] Et voilà le graph du...

How to value big data ? Methodological issues and a glance at the future « Martin Pasquier. Everyone has data, and we’re many to talk about them.

How to value big data ? Methodological issues and a glance at the future « Martin Pasquier

But how can we monetize, or at least value social media data ? Here’s a few ideas given by companies as well as researchers during a brilliant conference hosted in Paris by the Social Media Club. On the panel : Franck Rebillard (a Professor at Université Paris III, working on IPRI project that I suggest to follow), Adrien Schmidt (CEO and founder at Squid Solutions), Sébastien Lefebvre (co-founder at Mesagraph) and Valérie Peugeot (Future Studies Project Manager at Orange Labs).

Data needs a context One big issue with data is its context. Mesagraph, for instance, works on tweets to sell apps for social TV. Data needs a method Another problem to solve with data is its collection. Then, data collection needs improving. Data needs safeguards It’s hard to talk data without telling a few words about the ever-existing risk of a total control of our data by companies or state whose future is not stable. Say you want a car. Box-office : les chiffres du cinéma en France [datavisualization] “Hey Jude” en #dataviz via @cyroultwit. 10 Things You Can Learn From the New York Times’ Data Visualizations. The Malofiej 20 awards, known as the Pulitzers of the infographics world, recognize the finest infographics published across the globe.

10 Things You Can Learn From the New York Times’ Data Visualizations

This year, more than 1,500 print and online submissions competed for the prestigious awards. National Geographic Magazine, which won best print map and two gold awards, and Internet Group do Brasil iG (gold) were notable achievements. However, as in previous years, the portfolio of graphics from the New York Times dominated the event, winning six gold medals (four print, two online), the best online map and both the ‘Best in Show’ awards for print and online submissions. So what are the secrets to the New York Times’ continued success? Here are 10 key characteristics that, when brought together in a synthesised design process, helps to separate their work from the rest. 1. Establishing the goal of a visualization or infographic is the first consideration in its development, before any creative process has commenced. Source 2. Source 3. 4. Source 5. 6.

Data visualisation DIY: our top tools. What data visualisation tools are out there on the web that are easy to use - and free?

Data visualisation DIY: our top tools

Here on the Datablog and Datastore we try to do as much as possible using the internet's powerful free options. That may sound a little disingenuous, in that we obviously have access to the Guardian's amazing Graphics and interactive teams for those pieces where we have a little more time - such as this map of public spending (created using Adobe Illustrator) or this Twitter riots interactive. But for our day-to-day work, we often use tools that anyone can - and create graphics that anyone else can too. So, what do we use? Google fusion tables This online database and mapping tool has become our default for producing quick and detailed maps, especially those where you need to zoom in. The main advantage is the flexibility - you can can upload a kml file of regional borders, say - and then merge that with a data table. This excellent tutorial by Google's Kathryn Hurley is a great place to start.

Datamarket. Le modèle allemand vu de France. Bayrou1.jpg (640×500)