BBC Internet Blog: Digital Public Space: Data Guides. The Data Journalism Handbook - v0.1. Britistics – UK Infographics on the Behance Network. Visualising Ad Hoc Tweeted Link Communities, via BackType. So you’ve tweeted a link as part of your social media/event amplification strategy, and it’s job done, right? Or is there maybe some way you can learn something about who else found that interesting? Notwitshtanding the appearance of yet another patent of the bleedin’ obvious, here’s one way I’ve been experimenting with for tracking informal, ad hoc communities around a link. (In part this harkens back to some of my previous “social life of a URL” doodles such as delicious URL History – Hyperbolic Tree Visualisation, More Hyperbolic Tree Visualisations – delicious URL History: Users by Tag.) In part inspired by a comment by Chris Jobling on one of my flickr Twitter network images, here’s a recipe for identifying a core community that may be interested in a retweeted link: To explore the possible reach of the tweeted link, grab the followers of each person who tweeted the link and plot that network.
The node size is related to degree, the colour to total follower count. Like this: Who does what in Whitehall and beyond. Data Mining Map. Perceptual Edge - Library. Contents Books Articles Whitepapers Other Brief Publications Books Information Dashboard Design: Displaying data for at-a-glance monitoring, Second Edition, Stephen Few, $40.00 (U.S.), Analytics Press, 2013 This book alone addresses the visual design of dashboards.
Don't be misled by the title. This is not just a book about information dashboards, but arguably the most concise and information-dense treaty on how to present quantitative information by means of graphics. Show Me the Numbers: Designing Tables and Graphs to Enlighten, Second Edition, Stephen Few, $45.00 (U.S.), Analytics Press, 2012 This is the most accessible, complete, and practical guide available for designing tables and graphs to communicate numerical information clearly and simply.
Stephen Few is the master of creating simplicity and meaning through the clear visualization of data. Now You See It: Simple Visualization Techniques for Quantitative Analysis, Stephen Few, $45.00 (U.S.), Analytics Press, 2009 (Table of Contents) Document Atlas » About. ROLE Widget Consumes Linked Data « The LUCERO Project. Sandbox » - Public Dataset Catalogs Faceted Browser.
A skim-read introduction to linked data. How DBpedia Treats Wikipedia as a Database - ReadWriteCloud. DBpedia is a community driven effort that treats Wikipedia like a database, enabling people to do more sophisticated queries, distribute the open encyclopedia's data to the Web and add back to Wikipedia for the purposes of enriching it. In a blog post this week, the community showed again what makes the service a unique effort with the launch of the latest version of the technology. You can get into the weeds pretty quick with DBpedia when seeking to better understand how it functions. We see it useful to think of it in terms of context. On Wikipedia, you can do keyword searches for the Rhine River in Germany.
For example, here are the DBpedia results for the rivers that flow into the Rhine, using DBpedia: This latest release from DBpedia is based upon data extractions it did in October and November of 2010. 364,000 people 420,000 places 99,000 music albums 54,000 films 16,500 video games 148,000 organizations 148,000 species 5,200 diseases. Google Cleans Up Messy Data with Refine. If you live for data, slave over spreadsheets and constantly find yourself sifting through endless rows and columns of facts and figures, Google's got a lovely new product just for you — and it's free and open-source, too. Google Refine is a project born of Freebase Gridworks, a data-cleaning tool Google acquired when it bought Metaweb during the summer. Google has since renamed Gridworks and relaunched it as Refine. Basically, Refine makes it much easier for data geeks to clean up and use big sets of data.
For example, if you're writing an academic paper, government study or news article that requires you to download and parse spreadsheets from Data.gov or similar source of free information, you might notice all kinds of inconsistencies when you try to sort the data. This is a particular problem when you're using free, open-to-the-public data that no one has maintained or cleaned up in the past. What do you think of Google Refine so far? The 5 stars of open linked data. While perusing the minutes of today’s w3c egov telecon I noticed mention of Tim Berners-Lee’s Bag of Chips talk at the gov2.0 expo last week in Washington, DC. I actually enjoyed the talk not so much for the bag-of-chips example (which is good), but for the examination of Linked Data as part of a continuum of web publishing activities associated with gold stars, like the ones you got in school. Here they are: I think it’s helpful to think of Linked Data in this context, and not to minimize (or trivialize) the effort and the importance of getting the first 3 stars.
It was interesting that he didn’t mention RDF once (unless I missed it) and talked instead about Linked Data Format. Correction he did mention it, thanks Anders. Putting Linked Data to work: A developer’s perspective « The LUCERO Project. This is a guest post by Liam Green-Hughes, a developer at The Open University, relating his experience with Linked Data to date, and his initial use of Linked Data from Over the last few months I have been on a bit of a journey in the world of Linked Data. It has had highs and lows, frustrations and triumphs, but in the end it was worth it. When you first enter the world of the “Linked Data movement” the terminology can be baffling it is a world of “triples”, “RDF”, “SPARQL” and lots of other terms that will come as news to many developers.
Yet when you see past all that it turns out it is a genuinely useful concept to developers like me. Over the past few weeks I have been experimenting with the Open University’s new Linked Data service in a number of scenarios and have now used it in a production environment. Without a doubt the learning curve involved in being able to use Linked Data is significant. So why not just use an API instead of Linked Data? Government data UK: what's really been achieved? | News. "I think this project is doomed" - not perhaps what you expect on the front page of a website launched to huge fanfare a year ago today by Sir Tim Berners-Lee, the British inventor of the world wide web.
One year after the Labour government launched the data.gov.uk portal, intended to provide a front door to a library of government data that developers in the outside world could use to analyse trends and create commercial services, there is disquiet that the initial enthusiasm has worn off and that civil servants are quietly blocking widespread release of useful information. Peter Austin, a web developer using the site, commented : "I became a member of this community nearly a year ago. I wanted to use my programming skills for the public good …[but] I can only describe it as Yes Minister data. Harmless. Unlikely to generate controversy. " Downing street points out that it has hit the deadlines for all the data it's released.
More data World government data Development and aid data.