I’ve been really struggling to master the R language. While I’ve done a fair amount of reading about it and studying up watching YouTube – I find the principles simple to understand but sometimes the coding isn’t easy with all the werid operator symbols and function names.

ggplot2 for R clearly is the superior graphing utility compared to the somewhat broken implementation of ggplot2 on python as plotnine. There is matplotlib and the prettier version of it using Seaborn but clearly nothing beats ggplot2 on R. That said, I really think PANDAS is superior for data wrangling to dplyr and tidyverse on R – the R pipeline is fine but the way it is implemented is clumsy to type and its just not as fast or flexible as PANDAS.

It’s not difficult in Jupyter to chain PANDAS and R together although it can be messy to code in both languages. But I’m still learning and not really all that happy with the quality output of my graphs but they are getting better.