⠄⠄⡠⠺⠁⠄⠄⠈⠑⢦⠄
⠄⡜⠸⢰⡐⠄⠄⠄⠄⠄⣇
⠄⣯⡏⣘⣎⣂⣵⢀⢾⡄⡼
⠄⠏⣎⠟⣻⣿⢻⠃⢈⡝
⠄⠄⠹⠋⢉⣵⣮⣰⡚
⠄⠄⠄⠄⠸⣿⣿⡏⣷⢹⣦
⠄⠄⠄⢀⡄⣿⣿⡇⣾⡏⣻⡄
⠄⠄⢴⣿⣿⢹⣿⡇⣿⣧⢿⣇
⠄⠸⣸⣿⣿⢸⣿⡇⣿⣿⣟⢿⣦⣀
⠄⠄⠈⠛⠛⠈⣿⣷⢻⡿⢟⣣⣭⣭⣝⡲⢶⣶⣤⣄⡀
⠄⠄⠄⠄⠄⠸⣿⢟⣤⣾⣿⣿⣿⣿⣿⣿⣷⡹⣿⣿⣿⣷⣄
⠄⠄⠄⠄⠄⢀⣴⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡇⢻⣿⣿⣿⣿⣆
⠄⠄⠄⢀⣴⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠱⡜⣿⣿⣿⣿⡿⣾⣷⠄
⠄⣠⣶⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⢛⣵⠇⡇⣿⣿⣿⢟⣵⢸⣿⡇
⣼⣿⣭⣶⣶⣶⣶⣝⡻⣿⣿⡿⠿⡛⠁⠄⠁⠄⠄⠄⠄⠄⠄⣵⣿⣿⠟
⠹⣿⣿⣿⣿⣿⣿⣿⣿⣶⣶⣴⡸⣿⣧⣀⡤⣤⠄⠄⠄⠄⠄⢷⢰⠞⠄
nice ♥♥♥♥ bro

+rep very chill player

I like penicillum diarrhea. Whenever you eat something that has green blue mold on it, you have to take a huge slimy wet diarrhea dump like 6 hours later. While the ♥♥♥♥ looks like ♥♥♥♥, it smells exactly like whatever moldy food you ate. I've had bread scented poop, onion scented poop and even hotdog bun scented poop before.

Considering this is a way to get antibiotics into your system without paying $20000 for a single dose from a "certified doctor", I highly recommend it. 11/10 would blow my ass out with a diarrhea flood of biblical proportions again.

⠀⠀⠀⠀⠀⢰⡿⠋⠁⠀⠀⠈⠉⠙⠻⣷⣄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⢀⣿⠇⠀⢀⣴⣶⡾⠿⠿⠿⢿⣿⣦⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⣀⣀⣸⡿⠀⠀⢸⣿⣇⠀⠀⠀⠀⠀⠀⠙⣷⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⣾⡟⠛⣿⡇⠀⠀⢸⣿⣿⣷⣤⣤⣤⣤⣶⣶⣿⠇⠀⠀⠀⠀⠀⠀⠀⣀⠀⠀
⢀⣿⠀⢀⣿⡇⠀⠀⠀⠻⢿⣿⣿⣿⣿⣿⠿⣿⡏⠀⠀⠀⠀⢴⣶⣶⣿⣿⣿⣆
⢸⣿⠀⢸⣿⡇⠀⠀⠀⠀⠀⠈⠉⠁⠀⠀⠀⣿⡇⣀⣠⣴⣾⣮⣝⠿⠿⠿⣻⡟
⢸⣿⠀⠘⣿⡇⠀⠀⠀⠀⠀⠀⠀⣠⣶⣾⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡿⠁⠉⠀
⠸⣿⠀⠀⣿⡇⠀⠀⠀⠀⠀⣠⣾⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡿⠟⠉⠀⠀⠀⠀
⠀⠻⣷⣶⣿⣇⠀⠀⠀⢠⣼⣿⣿⣿⣿⣿⣿⣿⣛⣛⣻⠉⠁⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⢸⣿⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡇⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⢸⣿⣀⣀⣀⣼⡿⢿⣿⣿⣿⣿⣿⡿⣿⣿⡿

in case anyone's wondering I think I clicked a link I shouldn't have and might be infected by smth messaging ppl at random. oops

Lab 1 aims to let students get familiar with R base. In the following of our course, we focus
on analysis data which are available in an existing dataset. For a small/moderate sized
dataset, R base commands are convenient to apply. However, for large sized data sets (with
many rows and columns), running an R base code may require a long time and inefficient. In
this case, we will work with a package “dplyr” for faster and more efficient computing tools.