Table of Contents

Preface v

Chapter 1: Acquire and Prepare the Ingredients – Your Data 1

Introduction 2

Reading data from CSV files 2

Reading XML data 5

Reading JSON data 7

Reading data from fixed-width formatted files 8

Reading data from R files and R libraries 9

Removing cases with missing values 11

Replacing missing values with the mean 13

Removing duplicate cases 15

Rescaling a variable to [0,1] 16

Normalizing or standardizing data in a data frame 18

Binning numerical data 20

Creating dummies for categorical variables 22

Chapter 2: What's in There? – Exploratory Data Analysis 25

Introduction 26

Creating standard data summaries 26

Extracting a subset of a dataset 28

Splitting a dataset 31

Creating random data partitions 32

Generating standard plots such as histograms, boxplots, and scatterplots 35

Generating multiple plots on a grid 43

Selecting a graphics device 45

Creating plots with the lattice package

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