Comparing dataframe operations in Scheme, Python, and R
I recently came across this blog post that calls pandas
(Python) "clunky" compared to the "silky smooth" dplyr
(R). No objections from me. dplyr
is my favorite R package. I thought it would fun to compare the relative clunkiness of my dataframe
library for Scheme (R6RS) to pandas
and dplyr
. I will include the R and Python code here to save some clicking back and forth, but will mostly be commenting on the Scheme code.