Data Wrangling
Details
Real datasets are never clean. Today we go from messy, inconsistent tables to analysis-ready data — live, in R.
We'll cover `dplyr` (filter, mutate, joins), `tidyr` (pivoting and reshaping), `stringr` and `lubridate` for cleaning text and dates, `purrr` for functional workflows, and a look at `data.table` for when speed matters.
📍 RC 15 · 🕔 5:00 PM Today
Bring your laptop — we're coding along.
Related topics
Artificial Intelligence
Machine Learning
Data Analytics
Data Science
Data Visualization