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Those interested in R with tidyverse may find "R for Data Science" (https://r4ds.had.co.nz) to be a valuable resource.
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I strongly recommend data.table R. Tidyverse is an improvement on base R, no question. Data.table has less intuitive syntax and can be harder to learn, but is lightning fast and memory efficient. If you're working with more than 1M rows, you should be using data.table.
Here are some benchmarks: https://h2oai.github.io/db-benchmark/
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a more popular project.