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Visualizing Data at the Oxford Internet Institute

Visualizing Data at the Oxford Internet Institute

The Functional Art: An Introduction to Information Graphics and Visualization Datavisualization.ch Oxford Internet Institute - Webcasts Quick Guide to Social Network Analysis « SplinterNet The last few years have seen the adoption of social networking increase rapidly. From Facebook to Twitter, LinkedIn to Flickr – there is a social network for just about anything. As the revolution of social networking continues unabated, there comes a growing need to explore patterns within the networks – a process called social network analysis (SNA) Previously, the world of social network analysis could only be accessed with a bit of computing knowledge. However, an open source programme called Nodexl has changed that by bringing some of the important metrics used to understand a network, and the ability to create impressive network graphs, into Excel. Nodexl makes understanding a social network graph easy for anyone who can navigate around a spreadsheet. The people that can begin to make use of network graphs range from marketers to activists – and I imagine they are now a staple of any well equipped social media political campaign. There are two basic components of a social graph:

Making data analytics work for you--instead of the other way around Does your data have a purpose? If not, you’re spinning your wheels. Here’s how to discover one and then translate it into action. The data-analytics revolution now under way has the potential to transform how companies organize, operate, manage talent, and create value. But that’s also a mistake. This article describes eight critical elements contributing to clarity of purpose and an ability to act. After all, performance—not pristine data sets, interesting patterns, or killer algorithms—is ultimately the point. ‘Purpose-driven’ data “Better performance” will mean different things to different companies. Ask the right questions The precise question your organization should ask depends on your best-informed priorities. One large financial company erred by embarking on just that sort of open-ended exercise: it sought to collect as much data as possible and then see what turned up. Think really small . . . and very big The smallest edge can make the biggest difference. Embrace taboos

Masters of Media Visual.ly Tackling the Digital Divide It has been some time since we last blogged about our work relating to Assisted Digital. While we’ve been quiet, we have been busy working with our stakeholders to develop our thinking about the Assisted Digital (supporting access to Digital by Default services) and Digital Inclusion (tackling the issues that prevent everyone getting online) agendas. Of course, during this period, work has also continued on tackling the Digital Divide by encouraging people to get online. Therefore, it is great to see that the efforts of the Race Online 2012 campaign team and its partners (with Digital Champion Martha Lane Fox at the helm) are making real progress. This takes the total number of adults who have been online at least once to 41.6m, equating to over 83% of the population. Of course, once a person has sampled the benefits of being online, we must do more to ensure that they can stay online.

What a Tweet Can Tell You Imagine a tiny little sun, just bursting with heat and light, but trapped inside a hard metal cover with a few holes to let beams of energy stream out from inside. Now imagine there were millions of those little suns, maybe the size of basketballs or tennis balls, all rolling down an assembly line one after another, each with a unique pattern of holes and beams of light streaming out into the world. That's what Twitter is. Inside every unborn tweet you can find infinite potential - someone will be in a place, with social context and they will say something, anything, and give that potential a form. They will say something and it will be instantly available to anyone in the world who's subscribed. Each tweet has more than 30 fields of metadata under the hood; the value populating each of those fields makes up the unique patterns of holes in the metal cover that lets the light out from inside. "One could spend months mining Twitter using @DataSift," said Paul M.

La Cnil ouvre un débat sur le pouvoir des algorithmes Ces formules mathématiques sont au cœur du succès de Netflix, Facebook ou Google. L'autorité en charge du respect de la vie privée lance un cycle de débats publics sur ce thème, en présence de personnalités du numérique. L'algorithme, c'est un peu comme le gluten: beaucoup en parlent, mais peu savent vraiment de quoi il s'agit. D'ici à l'automne 2017, l'autorité indépendante rendra une synthèse publique de l'ensemble des échanges et des enjeux soulevés au cours de l'année. Qu'il s'agisse de l'itinéraire d'un chauffeur Uber, des amis suggérés sur Facebook ou encore des recommandations de films sur Netflix, les algorithmes au cœur de ces décisions ont de nombreux détracteurs. Début décembre, un rapport sur leur régulation a ainsi été commenté par la secrétaire d'État chargée du numérique Axelle Lemaire. La Cnil s'ajoute désormais à cet effort collectif de vulgarisation de l'enjeu algorithmique.

Sapping Attention DataVis.ca Gallery of Data Visualization This Gallery of Data Visualization displays some examples of the Best and Worst of Statistical Graphics, with the view that the contrast may be useful, inform current practice, and provide some pointers to both historical and current work. We go from what is arguably the best statistical graphic ever drawn, to the current record-holder for the worst. Like good writing, good graphical displays of data communicate ideas with clarity, precision, and efficiency. Like poor writing, bad graphical displays distort or obscure the data, make it harder to understand or compare, or otherwise thwart the communicative effect which the graph should convey. [See the Bad Writing Contest for examples of The Best of Bad Writing. Do you know of other examples of the Best or Worst in Statistical Graphics on the Web? These pages are organized as a collection of images, along with a few of the 1000 words each may be worth and some links to original sources.

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