3 Respuestas
+ 9
Quick Google search
https://www.guru99.com/r-vs-JUMP_LINK__&&__python__&&__JUMP_LINK.html
https://www.datacamp.com/community/tutorials/r-or-python-for-data-analysis?utm_source=adwords_ppc&utm_campaignid=898687156&utm_adgroupid=48947256715&utm_device=m&utm_keyword=&utm_matchtype=b&utm_network=g&utm_adpostion=1t1&utm_creative=255768618198&utm_targetid=dsa-473406585795&utm_loc_interest_ms=&utm_loc_physical_ms=9055076&gclid=EAIaIQobChMInd60ppjy3wIVi0PTCh3OZwpQEAAYASAAEgJOr_D_BwE
I really don't know why the 2nd link is sooooooo big 😱😱
Otherwise you can PM our beloved mod Kuba Siekierzyński who knows this domain.
+ 5
There might be some jobs that require R, but in general I'd say that Python is a must and R isn't. Also, R is super easy to learn if you know Python (and especially numpy). Whereas Python has hundreds of features that can't really be implemented in R. That's my personal impression, I can't guarantee that everyone will agree with it.
+ 3
Compared to python, R has a large number of libraries which can make data analysing easier. It is more powerful than Excel too!
Also there are many libraries in R which can make use of data in Excel.
So if you are focusing on statistics and data analysing R would be better. But in other cases python would be better