Myself, quantified | Extenuating Circumstances

Dan writes about how data saved his life. That is not an exaggeration.

He describes how, after receiving some very bad news from his doctor, he dived into the whole “quantified self” thing with his health data. Looking back on it, he concludes:

If I were still in the startup game, I have a pretty good idea of which industry I’d want to disrupt.

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Related links

How Florence Nightingale Changed Data Visualization Forever - Scientific American

The design process in action in Victorian England:

Recognizing that few people actually read statistical tables, Nightingale and her team designed graphics to attract attention and engage readers in ways that other media could not. Their diagram designs evolved over two batches of publications, giving them opportunities to react to the efforts of other parties also jockeying for influence. These competitors buried stuffy graphic analysis inside thick books. In contrast, Nightingale packaged her charts in attractive slim folios, integrating diagrams with witty prose. Her charts were accessible and punchy. Instead of building complex arguments that required heavy work from the audience, she focused her narrative lens on specific claims. It was more than data visualization—it was data storytelling.

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Data Visualization and the Modern Imagination - Spotlight at Stanford

There are some beautiful illustrations in this online exhibition of data visualisation in the past few hundred years.

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Spurious Correlations

Correlation does not imply causation.

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Stats: Creating (Phil Gyford’s website)

I quite like Phil’s idea of having charts like this. It might be a fun project for Homebrew Website Club to do something like this for my site.

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