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this post was submitted on 01 Dec 2024
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Programming
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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 🤷🏻♂️
The dplyr pipeline and ggolot tooling is unmatched. Often I mix Python and r to use each for their most optimal
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.
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).