Introduction to R: the data science Tidyverse

To the Tidyverse, and Beyond…

A gentle introduction to R and the Tidyverse. This suite of data savvy tools and techniques enable flexible reporting via literate programming as a means to achieve reproducible and transparent analysis.

The workshop begins with a measured and deliberate orientation to the RStudio interface. Participants will import data (readr). We continue with a step-by-step approach to transform and wrangle data (dplyr). Finally, we introduce basic exploratory data analysis (EDA.) Participants can expect explanation, demonstration and code examples along with hands-on learning.

Library packages



Book: R for Data Science by Hadley Wickham & Garret Grolemund
Interactive primers

Guide GitHub Code Repository GitHub Code Repository Exercises Creative Commons CCBY-NC

Rfun is a DVS learning series

The 'R We Having Fun Yet?' learning series is part of the broader Data & Visualization Services workshop series. DVS offers workshops on [R], Python, GIS and mapping, Research Data Management, and Visualization.

Rfun Blog

The blog features semester summaries of our workshop series and extra bits of information which may assist you in your practical data science journeys.