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Really depends on the application. For clean, concise and reproducible ad hoc statistical analytics and modelling, there isn't a better tool than tidyverse+tidy
by cardosof 5y ago
Really depends on the application. For clean, concise and reproducible ad hoc statistical analytics and modelling, there isn't a better tool than tidyverse+tidymodels.
It's a classic case of the best tool for the job. I usually create simple stuff in R and then move to bigger datasets and production in py+spark.
- mellavora 5y agotidyverse may be clean, but it is nowhere near as concise as data.table. data.table is also typically orders of magnitude faster.
- cardosof 5y agoThanks for the point of view, I can't argue since I don't really know data.table. Will check out!
- stanbiryukov 5y agoCheck out dtplyr- lazy data.table backend and tidyverse syntax