The concept of a visualisation is to make the invisible visible, bringing forth what cannot be seen. It is a form of expression that enables others to view/interpret data from a different perspective. The types of visualisation that were discussed were: visualisation in scientific research and visualisation in the communication of science within the public sphere. Many examples of data visualization can be found on, with projects such as ‘Top 10 Twitter Languages in London’.

There are many ways to visualise data. Graphs, charts, tables and histograms are some common examples. One visualisation that caught my attention was a piece done on the power struggle in Wikipedia.

windowslivewritervisualizingthepowerstruggleinwikipedia-f7c7wikivislowres74.jpg (1200×960)

The full article can be found on the project’s website:

I found this visualisation interesting as it addresses the issue of how accurate articles are on Wikipedia as it is an archive that can be edited and accessed by anyone with an Internet connection. Some articles on Wikipedia are very accurate while others do not have sufficient information. This visualisation is very useful to the public as they are then able to tell which pages require more information.

References:, 2013, <>

Visualizing the ‘Power Struggle’ in Wikipedia, 2007, <>



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