Spurious Correlations

Correlation does not imply causation.

Spurious Correlations

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@rem

@adactio I think my brain is slowly frying, I read your link adactio.com/links/15502 as “Superfluous Corrections” - like “um actually” or “THEIR not THEY’RE”… 😕

# Posted by @rem on Monday, July 15th, 2019 at 11:59am

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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Why I hate the log graph, and you should too - Geek in Sydney

I must admit I’ve been wincing a little every time I see a graph with a logarithmic scale in a news article about COVID-19. It takes quite a bit of cognitive work to translate to a linear scale and get the real story.

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Sandra Rendgen

A blog dedicated to data visualisation, all part of ongoing research for a book on Charles-Joseph Minard.

Data visualisation, interactive media and computational design are one focus of my work, but I also do research in the history of maps and diagrams.

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Colour Wheels, Charts, and Tables Through History – The Public Domain Review

These are beautiful!

Featured below is a chronology of various attempts through the last four centuries to visually organise and make sense of colour.

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