November 2017
Beginner to intermediate
204 pages
5h 23m
English
Content preview from Practical Data Wrangling
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Summary
In summary, the dplyr package builds on the R language to make an even more expressive and concise language for data manipulation. In this chapter, the estimate for the total road length in 2011 is the same as in the previous chapter, but the code used to get there is more concise and easier to follow. This can mean less time spent on navigating numerous processing steps and variable names, and more time spent organizing the data.
This concludes the second section of this book, which dealt with a more formulated approach to data wrangling. If you've read up to this point, congratulations! You now have a broad understanding of the tools, approaches, and skills involved in manipulating data.
In the remaining part of the book, I will ...
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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.