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 Edition
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7Vectors
As you move from practicing R basics to interacting with data, you will need to understand how that data is stored, and to carefully consider the appropriate structure for the organization, analysis, and visualization of your data. This chapter covers the foundational concepts for working with vectors in R. Vectors are the fundamental data type in R, so understanding these concepts is key to effectively programming in the language. This chapter discusses how R stores information in vectors, the way in which operations are executed in vectorized form, and how to extract data from vectors.
7.1 What Is a Vector?
Vectors are one-dimensional collections of values that are all stored in a single variable. For example, you can make a vector ...
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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.