Classroom experiments are a great way to communicate insights and shiny is a fantastic tool to develop interactive data displays. Linking the two together, you can build a unique experience for your students!
Researchers face many options when designing tests. The resulting researcher degrees of freedom are often not well documented in published work but highly influential for findings. My new in-development R package rdfanaylsis provides a coding framework to systematically document and explore the researcher degrees of freedom in research designs based on observational data.
The Project OffeneRegister.de has recently made German Trade Register data more accessible. Let’s see whether R can help us to learn where the German companies are.
As the year is closing down, why not spend some of the free time to explore your email data using R and the tidyverse? When I learned that Mac OS Mail stores its internal data in a SQLite database file I was hooked. A quick dive in your email archive might uncover some of your old acquaintances. Let’s take a peak.
Exploratory data analysis is important, everybody knows that. With R, it is also easy. Below you will see three lines of code that allow you to interactively explore the Preston Curve, the prominent association of country level real income per capita with life expectancy.
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