2.2 KiB
R is a programming language often used by the scientific community and data science community for a variety of different applications.
Similar to Julia & Python in some aspects. If you ever find yourself using it though, here are some recommended resources via this user.
Resources for R
R for Data Science (2e)
A must-read for R beginners. This book is the 2nd edition of R for Data Science and made some updates. It also features Quarto at the end of the book, which is the publishing system that builds this website.
R-bloggers
A curated feed of numerous bloggers who talk about R tips and projects. You can subscribe to R-bloggers by email or their RSS feed.
Tidyverse blog
This is where I got the latest news about tidyverse packages, since I use many of their packages.
Yihui’s Blog | R statistics
Yihui is a software engineer who works at Posit(previously RStudio) and is a main contributor to many popular R packages such as blogdown, bookdown and knitr. He shares interesting tips & exercise about R, and sometimes industry rumours news.
RWeekly
A weekly issue that covers latest news about R community. I usually just quickly skim through them because many of the news articles overlap with R-bloggers.
Similarly for Tableau
Resources for Tableau
Andy Kriebel’s YT channel
Very detailed step-by-step video tutorials. What I really like is that Andy usually shows you different ways to achieve the same result and also explain the difference, if any. It’s super helpful to understand Tableau’s logic and workflow, which also helps me choose the best method in the future.