Data & Stuff // Neil Houston

For those interested in Data Visualisation, you might be interested in the SameAs event that myself and a few colleagues attended.  Some of the videos are online:

Alastair Dant (Recommended!)
Head of Interactive Development at The Guardian
http://vimeo.com/channels/sameas#21911927

Mark Graham
Geomapping expert
http://vimeo.com/channels/sameas#21886943

Andrew Walkingshaw
Co-founder of Timetric
http://vimeo.com/channels/sameas#21856570

Brock Craft
Research Fellow at the London Knowledge Lab
http://vimeo.com/channels/sameas#21912974

Thomas Down
Creator of the genome browser Dalliance
http://vimeo.com/channels/sameas#21914592

Noah Iliinsky
Co-author of Beautiful Visualisation
http://vimeo.com/channels/sameas#21914387

For those who aren’t aware what cablegate is, then in brief it’s a set of diplomatic transmissions.

The cables, which date from 1966 up until the end of February this year, contain confidential communications between 274 embassies in countries throughout the world and the State Department in Washington DC. 15,652 of the cables are classified Secret.

The Wikileaks team had performed some analysis of the data. Around where the cables had been sent from, and what classification given to them. As well as looking at what the most popular ‘tags’ for the cables were. Unfortunately their analysis that they placed on Tableau Public was removed, see here for the Tableau Statement.

This seems a bit odd, considering the analysis was at a summary and statistical level. For instance, there were X number cables sent by Y. Though not revealing the actual content of them, which is obviously in some cases secret, or classified. This is in contrast to the analysis I performed of the Wikileaks Afghanistan War Diaries. Which shows both a summary level, and further detail about the confidential files. This analysis is also hosted on Tableau Public.

So take a peak at the analysis I performed and placed on Tableau Public (the links click through to the Tableau Public versions).

Cables by Origin

Tags Used

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