So the Olympics is over, and now’s the time to start exploring various views over the data tables in a leisurely way:-) A quick scout around shows that the New York Times (of course) have an interactive view of the medals table, also showing a historical dimension: Channel 4’s interactive table explores medal table ‘normalisation’ … Continue reading “More Olympics Medal Table Visualisations”
I had a trip up to London yesterday to give the second of two talks on data visualisation to the #cast12 Masters students at Goldsmiths University. As promised to them, here’s a list of resources they might find useful..: 1) Storytelling with data – Hans Rosling demoing Gapminder (using a visualisation technique now often referred … Continue reading “#CAST12 DataViz Sandbox – Resources”
I’ve just taken on a new desktop computer – the first desktop machine I’ll have used as daily machine for seven or eight years. As with every new toy, there is the danger of immediately filling it with the same crud that I’ve got on my current laptop, but I’m going to try to limit … Continue reading “Moving Machines…”
Over the last couple of years, I’ve dabbled with mapping parts of the interest graph defined by friends and follower relationships on Twitter. But with a couple of recent Twitter announcements, I’m starting to wonder if my ability to continue producing such maps will, to all and intents and purposes, soon be curtailed? Here’s the … Continue reading “Is Twitter Starting to Make a Grab for the Interest Graph?”
What do my Facebook friends have in common in terms of the things they have Liked, or in terms of their music or movie preferences? (And does this say anything about me?!) Here’s a recipe for visualising that data… After discovering via Martin Hawksey that the recent (December, 2011) 2.5 release of Google Refine allows … Continue reading “Social Interest Positioning – Visualising Facebook Friends’ Likes With Data Grabbed Using Google Refine”
One take on the story so far: – Facebook supports symmetrical follows and allows you to see connections between your Facebook friends; – Twitter supports asymmetric follows and allows you to see pretty much everyones’ friend and follower connections; – Google+ supports asymmetric follows Facebook and Twitter both support lists but hardly anyone uses them. … Continue reading “Circles vs Community Detection”
Years ago, I used the Javascript Infovis Toolkit to put together a handful of data visualisations around the idea of the “social life of a URL” by looking up bookmarked URLs on delicious and then seeing who had bookmarked them and using what tags (delicious URL History – Hyperbolic Tree Visualisation, More Hyperbolic Tree Visualisations … Continue reading “Visualising Delicious Tag Communities Using Gephi”
I’m now following about 500 or so people on Twitter, but to what extent are they following each other? Are there any noticeable subgroups in the folk I follow, by virtue of them being highly linked to each other in the friends and following stakes? Each of the nodes represents one of my Twitter friends … Continue reading “Small World? A Snapshot of How My Twitter “Friends” Follow Each Other…”
OUseful.info is a blog in part about… things that I think may be useful in an higher education context, one day… For more info on how I manage my online presence, see How OUseful.info operates. OUseful.inof started pointing here in July 2008. Posts from the OUseful.info blog prior to that (that used to be hosted … Continue reading “About”
OUseful.Info, the blog... 