Explore 15 essential pieces of R code to streamline your data analysis and visualization workflow. From creating directories and handling files to customizing ggplot and working with logit scales, these snippets can help you enhance your programming efficiency and maintain cleaner scripts.

This year, I started a Twitter advent calendar showcasing one R-package per day, each of which I find essential for my work. The aim is to highlight useful packages, both familiar and lesser-known, and offer insights into their functionalities. Follow along to discover packages from CRAN, BioConductor, GitHub, and more, and perhaps find new tools to enhance your work.