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visual data
learning, conceptualizing + communicating data with infographics, visualizations, etc...
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Infographic: An Amazing, Invisible Truth About Wikipedia

Infographic: An Amazing, Invisible Truth About Wikipedia | visual data | Scoop.it

Every Wikipedia entry has an optional feature we take for granted--geotagging. An entry on the Lincoln Memorial will be linked to its specific latitude and longitude in Washington D.C. On any individual post, this may or may not be a useful thing. But what about looking at these locations en masse?

That was a question asked by data viz specialist and programmer Olivier Beauchesne. To find out, he downloaded all of Wikipedia (it’s open-source, after all) then used an algorithm that would assemble 300 topical clusters from popular, related keywords. Then he placed the location of each article in these topical clusters on a map. What he found was astounding...

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The world of Wikipedia's languages mapped

The world of Wikipedia's languages mapped | visual data | Scoop.it
What happens if you map every geotagged Wikipedia article - and then analyse it for language use?

Mark Graham and the team at the Oxford Internet Institute (who've mapped zombies and every geotagged picture on Flickr) decided to find out as part of their research into the state of the internet - and then break it down by different languages.

Graham, who also runs the blogs floatingsheep.org and zerogeography.net looked at Wikipedia in the Middle East, North Africa, and East Africa in the November 2011 versions of the Arabic, Egyptian Arabic, English, French.

Each one of the yellow dots represents the "human effort that has gone into describing some aspect of a place".

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The World's Ideas, Visualized

The World's Ideas, Visualized | visual data | Scoop.it
Visualizing how the world's ideas fit together is no mean feat. But now you don't have to struggle, because Brendan Griffen has mined Wikipedia to create a map of how the world's greatest thinkers influenced each other.

 

Color-coded by genre—so, for instance, fiction authors are in orange, while 19th/20th century philosophers are in red—each node presents a person, and its size is determined by the number of links to other nodes. The data was gathered by studying every profile on Wikipedia that had an "influenced by" or "influences" field...

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