Dplyr

Tips and tricks in Tidyverse

Because of my old age I guess, I'm often asked how I switched from base R #RStats to #tidyverse. I learnt by watching @drob screencasts 🎥 in which he analyses #TidyTuesday data he has never seen before (!). Here is a list of my tips https://t.co/VFAaDz8onE in case it's useful. pic.twitter.com/4Emq2J2qQL

Introduction on data wrangling with R

🔧🚧 Intro on data wrangling w/ R 📦 dplyr - import data, pipe, pivot, join, filter, count, work w/ columns, dates, char, factors, etc #tidyverse ▶️ https://t.co/Vs2TbYhbBj ◀️ w/ practicals https://t.co/9ktKPp9wfW & solutions https://t.co/YPwibL2w31 Cartoons @allison_horst 💜 pic.twitter.com/ZMSfxYFKWq — Olivier Gimenez 🖖 (@oaggimenez) May 17, 2022