November 2018
Intermediate to advanced
384 pages
12h 21m
English
book
Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R, First Edition
by Joel Ross, Michael Freeman
Content preview from Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R, First Edition11Manipulating Data with
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11Manipulating Data with dplyr
The dplyr1 (“dee-ply-er”) package is the preeminent tool for data wrangling in R (and perhaps in data science more generally). It provides programmers with an intuitive vocabulary for executing data management and analysis tasks. Learning and using this package will make your data preparation and management process faster and easier to understand. This chapter introduces the philosophy behind the package and provides an overview of how to use the package to work with data frames using its expressive and efficient syntax.
1dplyr: http://dplyr.tidyverse.org
11.1 A Grammar of Data Manipulation
Hadley Wickham, the original creator of the dplyr package, fittingly refers to it as a Grammar of Data Manipulation. This ...
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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.
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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.