Learning objectives - Video Tutorials & Practice Problems
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33s
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Video transcript
<v ->Data scientists often bemoan that 80% of their work</v> is manipulating data. As such, R has many tools for this which are, contrary to what Python users may say, easy to use. We see how R excels at group operations using apply, L apply, and the plyr package. We also take a look at facilities who are joining, combining, and rearranging data. Then we speed that up with tidyr, data table, and dplyr.