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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10Data Frames
This chapter introduces data frame values, which are the primary two-dimensional data storage type used in R. In many ways, data frames are similar to the row-and-column table layout that you may be familiar with from spreadsheet programs like Microsoft Excel. Rather than interact with this data structure through a user interface (UI), you will learn how to programmatically and reproducibly perform operations on this data type. This chapter covers ways of creating, describing, and accessing data from data frames in R.
10.1 What Is a Data Frame?
At a practical level, data frames act like tables, where data is organized into rows and columns. For example, reconsider the table of names, weights, and heights from Chapter 9, shown in ...
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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.