The Tidyverse is a collection of R packages designed for data science that share an underlying ... and tidyr for tidying data can make your data analysis workflow more fluent and intuitive.

R Tutorials is a repository dedicated to sharing data science resources and tutorials using R, specifically focusing on the {tidyverse} ecosystem. This repo is perfect for those looking to learn R ...

This Specialization is intended for data scientists with some familiarity with the R programming language who are seeking to do data science using the Tidyverse family of packages. Through 5 courses, ...

Most courses within the specialization use the tidyverse packages in R and the RStudio IDE. This specialization is also an excellent primer for learners preparing to complete CU Boulder’s Master of ...

I eventually pieced together a general understanding of R usage via YouTube videos and felt like I was moving along successfully. Then I was fortunate enough to take a fantastic R-based Data Science ...

In the realm of data science ... top R packages that every data scientist should be familiar with. These packages provide essential tools and functionalities that streamline data analysis workflows ...

It does not have a workflow-type graphical interface (at least not yet). R is free and works on ... Use of the tidyverse (especially the graphics package ggplot2) is now so common in data science that ...

Data science is an interdisciplinary ... Among the well-liked programs are ggplot2, tidyverse, caret, rmarkdown, and shine. Because it makes it possible to create interactive graphs and dashboards, R ...

But data science ... "big win for R". One "horrible loss for R" is its language unity. R, he says, is "devolving into two mutually unintelligible dialects, ordinary R and the Tidyverse".