R: Recipes for Analysis, Visualization and Machine Learning

Chapter 4. What's in There? – Exploratory Data Analysis

In this chapter, you will cover:

• Creating standard data summaries
• Extracting a subset of a dataset
• Splitting a dataset
• Creating random data partitions
• Generating standard plots such as histograms, boxplots, and scatterplots
• Generating multiple plots on a grid
• Selecting a graphics device
• Creating plots with the lattice package
• Creating plots with the ggplot2 package
• Creating charts that facilitate comparisons
• Creating charts that help visualize a possible causality
• Creating multivariate plots

Introduction

Before getting around to applying some of the more advanced analytics and machine learning techniques, analysts face the challenge of becoming familiar with the large datasets that they often deal with. ...