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by extr
1652 days ago
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the easiest way to think about it is data.table is for people who are doing a lot of exploratory data analysis every day. If you're doing the same thing over and over, it makes sense to create a DSL specific to that task and optimize the hell out of it. that's basically data.table. dplyr is for everyone else, and it's great and important that it exists, because most people don't want to (and shouldn't need to) learn a DSL to do some basic filtering/sorting/grouping of 100mb of data. |
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