When preparing the analysis for our recent preregistered field experiment on the effect of carbon foodprint labels, we decided to implement an (interactive) specification curve analysis to present insights on how large our researcher degrees of freedom were, even after preregistration. This blog post introduces the idea and links you to the GitHub repo, where you can reproduce and explore our analyis relatively quickly using GitHub Codepaces.

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I recently included the new Our World in Data data on Covid-19 vaccination progress around the world in the {tidycovid19} package. What was meant to be a short info post for package users turned into a mini case on “outliers”. See for yourself

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It started as a Christmas present and ended up to be a fun case study on the productive boost of the open source community. Use R and shiny to hack the LEGO Art Beatles set to become a Stones set!

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OK. We are at home. Again. Given that large parts of Europe and the U.S. are currently experiencing a second large wave of Covid-19 cases and that most European jurisdictions have reacted with more or less rigorous lockdown regulations, one wonders about the effects of these regulations on social distancing compared to the one in March/April. This graphical primer on this topic is the outcome of a recent data visualization workshop that we run for the TRR 266.

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Joachim Gassen

Curious researcher, passionate teacher and coding nerd.

Professor of accounting at Humboldt-Universit├Ąt zu Berlin

Berlin