Data & Visualisation

Climbing Mount Everest

A colleague and I have both been researching Mount Everest Base Camp treks lately. Mount Everest, or Sagarmāthā in Nepali, is the tallest mountain on earth. With a peak at  8,848 m (~29,000 feet) its top is further away from sea level than any other place on earth. That’s all well and good, of course. But exactly how

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Hashtag Musings

I read a lot of tweets. No, really. A lot. No no no, you don’t hear me properly. Really. A. Lot. Not that I ever get to read the avalanche of tweets entering my stream, although I do go through it cursory somewhat daily. I even occasionally write something myself. But mainly, I analyse tweets.

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China Explained

If you have any interest in the history and politics of China (you should), the Reuters Connected China app is absolutely amazing. It’s basically a bunch of very well-annotated interactive data visualizations combined with a beautiful China 101. Divided into 5 areas, the social power visualization is particularly interesting, and it is easy to see

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Data Visualization Goals in Historic Context

Robert Kosara of eagereyes (and Tableau) just published a great walk-through of the history of data visualizations. Or, rather, the main goals of different data visualization giants during the course of history. It really gives you a great understanding of why we are now torn between infographics and data visualizations (read: Robert Kosara’s [INFOGRAPHIC] vs. data visualization dichotomy, ie.

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