Day 2 - Practical Session

Pick one

Work on your own data

• how can you use tidyverse to the best effect?
• use across / rowwise / stringr whereever
• ask others or me for help with your data cleaning problem :)

Work with the chocolate data

• Get back to the chocolate data
• If you haven’t done so, do the bonus task: the ingredients and characteristics column encode several observations. Separate out these columns, and make sure data is in long format - use your new knowledge about regular expressions :)
• Do some further data exploration (cleaning, plotting, …)

Get the chocolate data like this:

chocolate <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2022/2022-01-18/chocolate.csv')