this post was submitted on 01 Dec 2024
58 points (100.0% liked)
Programming
17668 readers
149 users here now
Welcome to the main community in programming.dev! Feel free to post anything relating to programming here!
Cross posting is strongly encouraged in the instance. If you feel your post or another person's post makes sense in another community cross post into it.
Hope you enjoy the instance!
Rules
Rules
- Follow the programming.dev instance rules
- Keep content related to programming in some way
- If you're posting long videos try to add in some form of tldr for those who don't want to watch videos
Wormhole
Follow the wormhole through a path of communities !webdev@programming.dev
founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
I'm not a data scientist but I support a handful. They all use Python for the most part, but a few of them (still?) use R. Then there's the small group that just throws everything into Excel ๐คท๐ปโโ๏ธ
Interesting. Excel is certainly capable enough but I would think data set size limitations would be a frequent issue. Maybe not as frequent as I would have thought though.
Excel kinda chugs when you go over 20MB of data, but once the file is open it works. Sometimes you just need to be patient.
The dplyr pipeline and ggolot tooling is unmatched. Often I mix Python and r to use each for their most optimal
R and tidyverse is really amazing, the syntax is so natural I rarely need to check the docs on anything to quickly do basic data transformation/plotting. Definitely more intuitive than pandas (and I learnt that first).