Want to learn #dataviz with #ggplot2 and #rstats , but with real-world data instead of built-in datasets?

Check out Chapter 4 of my book Analyzing US Census Data, which helps you learn ggplot2 with step-by-step examples from the US Census.

walker-data.com/census-r/explo…

What it's like to be intentionally infected with a virus for a vaccine trial.

worksinprogress.news/p/should-you-i…

This is a map of repetition among all symptoms in the DSM-5.

🧵1/10

A few years ago, we explored how long it might take for Zika epidemics to re-emerge as a result of gradual new births increasing population susceptibility.

Happy to say this kind of quick analysis (including for both demographic turnover and waning immunity) can now be done in a…

Enjoyed Katalin Kariko's memoir, especially when this surprise popped up towards the end!

Super fascinating story of artemisinin, one of the most life-saving antimalarial drugs.

Qinghao herbal leaves, containing artemisinin, had been described in Chinese scrolls in ~215 BCE, then rediscovered in a multidecade secret Chinese military project
asimov.press/p/antimalarial…

What’s the leading cause of death in each country?

Our Data Insight today — by my colleagues Saloni and Fiona Spooner — answers the question.

Today's Data Insight, by Saloni & Fiona Spooner

What’s the leading cause of death in each country?

Find all of our Data Insights on their dedicated feed: ourworldindata.org/data-insights

New: How London can boost growth, cut rents and
cut emissions by making it easier to build in the right places.

London's housing shortage is brutal, but lessons from New Zealand and Texas show it's a solvable problem.

samdumitriu.com/p/how-to-get-l…

Really enjoyed walking through Keukenhof! 🌷

I got lots of photos that look like album covers