Category: blog

Here is a collection of 50+ tips and tricks for ggplot2. Do read them as suggestions, or rule of thumbs, rather than principles and ideas that will generalise across contexts and presentation formats. Most of the tips and tricks are based upon material that is also available via my GitHub repository awesome-ggplot2. Here we go: […]

1366. The Probability and Statistics Cookbook 1367. A Complete Introduction to R for Data Science 1368. One year in vis 1369. 10 Tips for Using Geolocation and Open Source Data to Fuel Investigations 1370. Using the terra R package to view, download and analyze Google Earth Engine Images 1371. Converting Between Currencies Using priceR 1372. […]

A new study, published in the Proceedings of the National Academy of Sciences, argues that ‘wolf attacks predict far-right voting’ – at least in Germany. The findings are statistically significant, the effect sizes are (too?) large, and there is even a pre-registration of the study. Yet, I see a few red flags (in addition to […]

Scientific studies tend to follow the same logical structure. Introduction, theory, method, results, discussion, conclusion. Easy-peasy. Sometimes the sections have other names or are merged together, e.g., “Discussion and concluding remarks”, and for the less serious journals (such as PNAS), they save the methodology for the footnote-size section at the end of the paper. I […]

In 2018, I wrote a critical blog post about a study that examined whether welfare reforms caused Brexit. The study, now published in American Economic Review, concludes “that the EU referendum could have resulted in a Remain victory had it not been for austerity”. (It is by the same researcher who tried to make people […]