6 Data Visualisations You Might Also Like

 0 data science

I love a good data visualisation.

My talents most certainly don’t lie in the visual arts, but I can appreciate something nice when I see it.

So today I thought I’d share some data visualisations that I’ve seen recently and particularly liked. They all show some creative and/or powerful ways to display data.

Most of them are interactive or too big to embed so they’re links, but I’ll write a bit about them to convince you to click them and check them out.

 

A Timeline of Earth’s Temperature – xkcd

 

This is a long visualisation showing how the Earth’s temperature has changed over time, starting in 20,000 BC. Randall Munroe’s typical stickman drawings add some humour to an otherwise serious message. You know what to expect to see after around 1850…

 

What’s Really Warming the World? – Bloomberg

 

I promise that’s the last climate change one, but it tells a very good story. The write-up at the end is informative too. Honesty is important when you’re presenting data!

 

Pianogram – Joseph Yuen

 

Something completely different. A piano bar chart showing the frequency of each key appearing in various classical piano pieces. Chopin’s “Black Keys Etude” isn’t called that for nothing.

 

Only 9% of America Chose Trump and Clinton as Nominees – New York Times

 

If you’ve seen enough data visualisations you’ll know that the folks at the New York Times excel at creating them. I’m quite partial to a datavis that shows percentages with blocks so you get a feel for what they look like.

 

Where Can You Afford to Buy a House? – The Guardian

 

None of the individual elements are groundbreaking, but this is a well put-together datavis. It highlights how unaffordable the UK is becoming, and it doesn’t even include more recent data. It takes a stellar salary for London to be affordable, but that’s no surprise.

 

A Visual Introduction to Machine Learning – R2D3

 

This final one isn’t a datavis per se, but it’s one of the best “introduction to machine learning” resources I’ve ever seen. It follows through a concrete example with great visuals and it still manages to be densely packed with information.

 

Let me know in the comments if you have any data visualisations you’d like to share!

 

Footnote: This is the 21st entry in my 30 day blog challenge.

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