June 2016
Beginner to intermediate
398 pages
8h 51m
English
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Data manipulation in R
For students working with perfectly prepared data from various R packages on relatively small scale problems, data manipulation is not the big issue. However, in the daily practice of a data scientist, most of the time working on data analysis does not involve applying a suitable function to an already perfectly prepared piece of data. The majority of work is done on data manipulation, in order to collect data from several sources, shape the data into a suitable format, and extract the relevant information. Thus, data manipulation is the core work, and data scientists and statisticians should possess strong data manipulation skills.
Whenever you work with data frames, the package dplyr provides user-friendly and computationally ...
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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.