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http://red-badger.com/Blog/author/davidwynne.aspx Data Binding is one of XPF ’s features that we’re excited about – bringing data binding to the world of XNA helps to encourage building of loosely coupled applications and helps enable the separation of presentation from implementation logic. We’ve previously discussed the inner workings of data binding in our insider post but for those whom data binding maybe an abstract concept, this series of posts is designed to introduce you to both the concepts and the implementation. Let’s walk through what it is, why you should use it and what XPF offers. What is Data Binding?

Red Badger | All posts by davidwynne

OCDQ - Obsessive-Compulsive Data Quality (OCDQ) by Jim Harris

Since how data quality is defined has a significant impact on how data quality is perceived, measured, and managed, in this post I examine the two most prevalent perspectives on defining data quality, real-world alignment and fitness for the purpose of use , which respectively represent what I refer to as the danger of data myopia and the challenge of business relativity . Real-World Alignment: The Danger of Data Myopia Whether it’s an abstract description of real-world entities (i.e., master data) or an abstract description of real-world interactions (i.e., transaction data) among entities, data is an abstract description of reality. http://www.ocdqblog.com/
http://www.jroller.com/vaclav/entry/continue_with_the_data_flow

Václav Pech : Weblog

Continue with the data flow I can't resist sharing some more exciting details about the options GPars dataflow concurrency brings to the table. Remember the intro I posted recently about the concepts and basic usage scenarios? And the GPars to GoLang comparison post moaning about blocking threads on dataflow variable reads? Well, that was just the first part of a longer story to whet your appetite.

Your Random Numbers – Getting Started with Processing and Data Visualization | blprnt.blg

http://blog.blprnt.com/blog/blprnt/your-random-numbers-getting-started-with-processing-and-data-visualization Over the last year or so, I’ve spent almost as much time thinking about how to teach data visualization as I’ve spent working with data. I’ve been a teacher for 10 years – for better or for worse this means that as I learn new techniques and concepts, I’m usually thinking about pedagogy at the same time. Lately, I’ve also become convinced that this massive ‘open data’ movement that we are currently in the midst of is sorely lacking in educational components. The amount of available data, I think, is quickly outpacing our ability to use it in useful and novel ways.
I've been thinking a lot about data visualization, meaning things like the Internet version of those USA Today infographics and the data you get back from your site traffic analytics group. But data viz is not just about fancy Excel charts and animation; it's a discipline used to visualize information of any sort and it's becoming an increasingly important way to communicate with your audience. Its importance, I believe, lies in its ability to reach scale, that is, helping marketers get the biggest audience possible. Our business is all about scale and we have metrics to measure it. But scale is about more than metrics -- it's about having a cultural impact, having consumers feel they're part of something larger.

Data visualization for the social networked impaired

http://gettom.blogspot.com/2010/03/data-visualization-for-social-networked.html
http://owni.fr/2010/04/02/visualiser-leconomie-comme-les-quants/ “Quants” est le surnom donné aux analystes quantitatifs, qui manipulent au quotidien un nombre important de données dans le domaine des mathématiques financières. L’une des explications de la crise que traverse l’économie mondiale vient certainement se nicher dans les modèles utilisés par ces professionnels de la finance, dont les compétences vont des mathématiques à la physique [...] “Quants” est le surnom donné aux analystes quantitatifs, qui manipulent au quotidien un nombre important de données dans le domaine des mathématiques financières.

Visualiser l’économie comme les “quants” | Owni.fr