October 2023
Beginner
516 pages
12h 12m
English
Content preview from The Statistics and Machine Learning with R Workshop
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3
Intermediate Data Processing
The previous chapter covered a suite of commonly used functions offered by dplyr for data processing. For example, when characterizing and extracting the statistics of a dataset, we can follow the split-apply-combine procedure using group_by() and summarize(). This chapter continues from the previous one and focuses on intermediate data processing techniques, including transforming categorical and numeric variables and reshaping DataFrames. Besides that, we will also introduce string manipulation techniques for working with textual data, whose format is fundamentally different from the neatly shaped tables we have been working with so far.
By the end of this chapter, you will be able to perform more advanced data ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.