Threads and Swing
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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.
The future of open data in the UK: what we hope the Shakespeare review says
Tomorrow morning will see the release of a major new review on how to make the most out the UK’s Public Sector Information authored by Stephan Shakespeare, founder of opinion polls company YouGov. Given our role in advocating open data in the UK for many years, we’re very keen to see what Shakespeare says. Here are a few of our thoughts about what we hope to see in the review. Strong commitment to open data as the default for UK Public Sector Information. On the back of President Obama’s recent Executive Order announced last week that says public information in the US should be “open and machine readable” by default, we hope Stephan Shakespeare’s review will urge similarly strong support for open data in the UK.
Data visualization tutorial in Processing
If you absolutely refuse to touch any code, I suggest Many Eyes or one of the fine FD sponsors, but if you're looking to get your hands dirty, Processing is a great place to start. Jer Thorp, whose work we saw not too long ago, posts this introduction tutorial for data visualization with Processing. I’m going to start from scratch, work through some examples, and (hopefully) make some interesting stuff. One of the nice things, I think, about this process, is that we’re going to start with fresh, new data – I’m not sure what kind of things we’re going to find once we start to get our hands dirty. This is what is really exciting about data visualization; the chance to find answers to your own, possibly novel questions. The examples are straightforward, the results are interesting, and most importantly, it gives you a lot to work off of with your own data and geometry.
Welcome to the School of Data Handbook
The School of Data Handbook is a companion text to the School of Data. Its function is something like a traditional textbook – it will provide the detail and background theory to support the School of Data courses and challenges. The Handbook should be accessible to all learners. It comes with a Glossary explaining the important terms and concepts.
Data visualization with Processing, Part 1: An introduction to the language and environment
Although many open source projects are driven to build alternatives for existing applications, there are numerous projects that represent new and innovative works. Processing is one of those programs. Processing began at the Massachusetts Institute of Technology's (MIT's) Media Lab in 2001, created by Ben Fry and Casey Reas, though it has contributions from Carnegie Mellon; the University of California, Los Angeles; Miami University; and others.
Your Right to Data
Say That You Know Your Rights Usually the law does not require that you mention the access to information law or freedom of information act, but this is recommended because it shows you know your legal rights and is likely to encourage correct processing of the requests according to the law. We note that for requests to the EU it’s important to mention that it’s an access to documents request and it’s best to make a specific mention of Regulation 1049/2001.
British Library Labs - BL Collections
Labs projects leverage existing digital content which has been produced or acquired for our collections. That is to say additional digitisation activities will not be taken up or funded via Labs. For some example collections, content and even some ideas from the curators about how these collections could be used, we have grouped them according to type (see the menu on the left), but do get in touchwith us with questions about others that aren't listed and Labs will look into it.
About
We help individuals and businesses to get, clean, visualise, analyse and manage data from thousands of sources. For science, journalism, lead generation—whatever you need. The magic happens via “tools” running on our self-service platform. But we also offer managed services for corporate customers who want to make the most of their public and private data. Our team
Letting Grow
UPDATE: #LettingGrow is now over (explanation here) Thanks for the donations! TL;DR version: I’m raising money for cancer research in 2013. I’ve shaved my head and beard and won’t be cutting either until 2014. You can donate here: justgiving.com/letting-grow (I’m aiming to raise £7,866 – or one pound for every Twitter follower I had on 01/01/2013!) We’ve had better Christmases.
Jaron Lanier: Why Facebook Isn't Free
What’s the Big Idea? Facebook shares start trading today, at a price that will value the company at close to $100 billion, or roughly the 2011 GDP of Sudan. The difference between this and other comparably enormous initial public offerings is that Facebook's product, or service, is free. Its business model is based on the value to advertisers of the rich data its users provide by sharing their changing interests and relationship networks in real time.
Big Data is Neutral: A Tool for Both Good and Evil
What's the Big Idea? Big Data is watching you. And it's big business. Credit card companies, for instance, are selling the data about what you're consuming.
Networking by numbers
RSA Connected Communities has started a new project with Nathan of the MIT Center for Civic Media to create a new, cost-effective way to measure the social impact of public services and civic interventions and to allow people to see their own personal networks. We’re designing a mobile and tablet app for recording real-life social networks: your friends, families and contacts. The open source software we build will also be useful to journalists, ethnographers and anyone trying to make sense of rapidly changing social phenomena.
Protocol for Implementing Open Access Data
Status of this Memo This memo provides information for the Internet community interested in distributing data or databases under an “open access” structure. There are several definitions of “open” and “open access” on the Internet, including the Open Knowledge Definition and the Budapest Declaration on Open Access; the protocol laid out herein is intended to conform to the Open Knowledge Definition and extend the ideas of the Budapest Declaration to data and databases.
