November 2018
Beginner to intermediate
420 pages
10h 4m
English
book
Hands-On Data Science with R
by Doug Ortiz, Vitor Bianchi Lanzetta, Nataraj Dasgupta, Ricardo Anjoleto Farias
Content preview from Hands-On Data Science with R
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Basic dplyr usage
We have already used some dplyr commands in the previous section and, here, we'll be looking at the standard functions. dplyr provides a set of useful verbs that can be used in conjunction with one another (using the pipe operator or otherwise) to produce the final result.
These verbs are set out in the following list:
-
- sample_n and sample_frac: To extract random values
- summarise: To aggregate values
- mutate: To add new variables
- arrange: To sort the dataset
- filter: To filter the data and extract relevant rows
- Select: To select columns from the dataset
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.