Building on our current working paper, and using ‘fancy’ animations, we (David Veenman and Joachim Gassen) discuss the issues related to non-random outliers in empirical archival research work and whether robust regression methods can be viewed as a panacea (spoiler: they can’t). Building on these insights we suggest a work-flow for archival work that helps us to take outlier treatment to the next level.

Continue reading

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

Continue reading

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!

Continue reading

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.

Continue reading

A recent update to the {tidycovid19} package brings data on testing, alternative case data, some regional data and proper data documentation. Using all this, you can use the package to explore the associations of (the lifting of) governmental measures, citizen behavior and the Covid-19 spread.

Continue reading

Author's picture

Joachim Gassen

Curious researcher, passionate teacher and coding nerd.

Professor of accounting at Humboldt-Universität zu Berlin

Berlin