๐ŸŽ
I started learning R in my first year of PhD (2019). I was exposed to base R first, which was okish... but letโ€™s be honest, not that attractive...Then I met Tidyverse and my relationship with R changed completely! dplyr on datacamp was my first lesson and I was pleasantly surprised by the feeling of โ€œI got thisโ€๐Ÿ˜‰. I started off thinking I would only do data visualisation in R (since SPSS canโ€™t give me what I want) and keep everything else outside R but now, three years later, I use R on a daily basis and canโ€™t imagine doing analysis without it. (allow me a moment to savour this unexpected turn of events!) Over the (not so many) years, Iโ€™ve used quite a few packages and some of them became my favourite go-to libraries whenever I start an R session. I thought I share them here as my way of saying thank you to those amazing developers whoโ€™ve made my life much easier! ๐Ÿ˜ป

Routine tasks

pacman
rio
skimr
patchwork
prettydoc
tidyverse

Text mining

tidytext
udpipe
textclean
badge