@nick-eagles.bsky.social concluded that scratch space location matters significantly for performance ๐พโก. He explained his motivation: he had a real use case with hundreds of millions of rows ๐ that originally took
Full length video: youtu.be/ikumz_QLZiE
#RStats #dplyr #duckplyr #rpolars #data.table
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He noted that most benchmarks focus on speed โก, but emphasized that memory efficiency ๐ง is another important variable to consider - particularly highlighting that data.table tends to be more memory efficient than dplyr ๐พโจ.
#RStats #dplyr #duckplyr #rpolars #data.table
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@nick-eagles.bsky.social introduced his presentation on benchmarking #dplyr alternatives ๐๐ป. He planned to review public benchmarks of various data manipulation packages ๐ฆ as well as his own custom benchmark results ๐ฌ
Full length ๐ฅ: youtu.be/ikumz_QLZiE
#RStats #dplyr #duckplyr #rpolars #data.table
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