As a data scientist who is proficient in both Python and R ecosystems, in my opinion R/tidyverse is substantially better for ad hoc EDA and data visualization.
However, Python is better for nearly everything else in the field (namely, working with nontabular data, external APIs, deep learning, and productionization).
However, Python is better for nearly everything else in the field (namely, working with nontabular data, external APIs, deep learning, and productionization).
It's about knowing which tool to use.