September 2017
Beginner to intermediate
560 pages
25h 18m
English
book
R Data Analysis Cookbook, Second Edition - Second Edition
by Kuntal Ganguly, Davor Lozić, Mzabalazo Z. Ngwenya, Andrew Bauman, Shanthi Viswanathan, Viswa Viswanathan
Content preview from R Data Analysis Cookbook, Second Edition - Second Edition
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Getting ready
Download the files for this chapter and store the auto-mpg.csv, employees.csv, and departments.csv files in your R working directory. Read the data and create factors for cylinders in auto-mpg.csv:
> auto <- read.csv("auto-mpg.csv", stringsAsFactors=FALSE)
> auto$cylinders <- factor(auto$cylinders, levels = c(3,4,5,6,8), labels = c("3cyl", "4cyl", "5cyl", "6cyl", "8cyl"))
Install the data.table package in your R environment, as follows:
> install.packages("data.table")
> library(data.table)
> autoDT <- data.table(auto)
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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.