E-learning with web 2.0


data-visualisation-2c.jpg- ► category - Data visualisation, like digital storytelling, is not a single tool, but rather a technique which can involve a whole variety of different web 2.0 tools.

--► what - Data visualisation involves displaying data sets in visual formats, which are sometime static (such as images, charts or infographics, which typically combine text and images) and sometimes dynamic (such as video or interactive animations).

- ► why - The aim is to reveal patterns, or highlight patterns, by presenting the data in particular ways. This is important because of the growing use of infographics, especially in the media, to communicate key information quickly in an easily comprehensible format.

- ► how - For ideas on the kinds of data visualisations it's possible to create, take a look at the infographic A Periodic Table of Vizualization Methods. For guidance on infographics, see the infographic entitled The Anatomy of a Great Infographic.

- ► where - While creating data visualisations traditionally required sophisticated technical skills, tools are now appearing which make it possible for non-specialists to create them. The key options are:

- ► examples - Sophisticated examples of data visualisations include static images such as the Egypt Influence Network (2011) and US Recorded Music Revenue (2011), dynamic videos such as 24 hrs of World Air Traffic compressed into 1 minute (2009) and Pulse of the Nation: U.S. Mood Throughout the Day inferred from Twitter(2010) (also embedded below), as well as Anthem for Dissent: A Time-Lapse of Every Nuclear Explosion since 1945 (2010) and 9 Animated Maps that Will Change the Way You See the World (2016). Interactive visualisations include The Path of Protest (The Guardian, 2012).

For examples of data visualisations based on Facebook and LinkedIn, see the social networking page of this wiki. For an example of a data visualisation based on Twitter, see the microblogging page of this wiki. Visual Loop is a search engine devoted to finding infographics.

Credits: The image above left, which shows a Processing data visualisation, is available under a Creative Commons licencefrom Karsten Kessler's photostream on Flickr; the original can be found here. I owe the ABS Spotlight link to Bree Chamberlain, the Anatomy of a Great Infographic link to Rhys George and the Arab Spring link to Curtis Bonk.

Contact: There's no such thing as a finished wiki. Like all wikis, this one is a work in progress and there will be changes from time to time in organisation, content and links. However, don't let that stop you from contacting me at any time with comments, suggestions or questions.