A complete conceptual overview of the dplyr package! Why do we use dplyr? What is the tidyverse? How to learn how to use the dplyr package? What are select, filter, mutate, arrange, summarise and group_by? How and when to use these functions? How can they be used in conjunction? What is the pipe operator and how to use it? Plus, resources for tutorials and cheatsheets! This tutorial introduces you to dplyr before you tackle it! Dplyr is an essential tool in RStats for data science! Share your thoughts in the comments and visit our channel for detailed videos on how to use each function. See you next week! 🔥 🌌Tidyverse: https://dplyr.tidyverse.org/ 😎Tutorials: 🌟https://datacarpentry.org/R-genomics/04-dplyr.html 🌟https://genomicsclass.github.io/book/pages/dplyr_tutorial.html 🌟https://serialmentor.com/blog/2014/9/17/a-grammar-of-data-manipulation 00:00 Introduction 00:26 What is dplyr 01:10 Tools to learn dplyr 03:33 The tidyverse 05:49 dplyr’s verbs 06:29 select() 07:44 filter() 08:23 mutate() 08:55 arrange() 09:15 summarize() 09:30 group_by() 10:04 Pipe operator 10:47 Getting started 11:05 Conclusion 🏎️ R performance playlist    • R Programming - Performance   🧮 dplyr playlist    • dplyr   #R #dplyr #Rtutorial #Rprogramming #tidyverse #RStats #RStudio #datascience #DDS #DDSR