A deep-dive into data-wrangling in R (tidyverse)

In this video we will be taking a deep-dive into the #tidyverse and looking at how to use data-wrangling and cleaning (using #tidyr and #dplyr) to conquer difficult data and transform the most challenging sets into beautiful #ggplot2 visualizations.

*Jump Between Concepts*
00:00 Welcome to the Tidyverse
00:40 Beavers Data
02:42 Introduction to the "$"
04:43 Introduction to the %pipe%
05:20 Introduction to mutate()
09:14 Iris Data
09:34 Introduction to group_by()
10:21 Complex mutations (across(), which(), ~, .x, {})
13:48 Introduction to pivot_longer()
16:50 Religion Data
19:08 Complex mutations (case_when())
20:52 Filtering (%in%, stringr, logical statements)

Video code and resources are available on my GitHub:
https://github.com/chloefouilloux/DATA_WRANGLING