Book Image

R Programming By Example

By : Omar Trejo Navarro
Book Image

R Programming By Example

By: Omar Trejo Navarro

Overview of this book

R is a high-level statistical language and is widely used among statisticians and data miners to develop analytical applications. Often, data analysis people with great analytical skills lack solid programming knowledge and are unfamiliar with the correct ways to use R. Based on the version 3.4, this book will help you develop strong fundamentals when working with R by taking you through a series of full representative examples, giving you a holistic view of R. We begin with the basic installation and configuration of the R environment. As you progress through the exercises, you'll become thoroughly acquainted with R's features and its packages. With this book, you will learn about the basic concepts of R programming, work efficiently with graphs, create publication-ready and interactive 3D graphs, and gain a better understanding of the data at hand. The detailed step-by-step instructions will enable you to get a clean set of data, produce good visualizations, and create reports for the results. It also teaches you various methods to perform code profiling and performance enhancement with good programming practices, delegation, and parallelization. By the end of this book, you will know how to efficiently work with data, create quality visualizations and reports, and develop code that is modular, expressive, and maintainable.
Table of Contents (12 chapters)

Communicating Sales with Visualizations

In this chapter, we will explore a very important and useful aspect of data analysis, data visualization. We will show how to create graph functions, which are the functions that encapsulate the process of creating a graph and output a graph object that can be seen or saved to disk. Working with graphs this way increases efficiency, adds flexibility, and provides repeatable processes.

The types of graphs we will create during this chapter include bar graphs, boxplots, scatter plots with marginal distributions, radar graphs, 3D interactive scatter plots, time-series graphs, static and interactive maps, and a cool globe visualization. The chapter will show the fundamentals you need to create a great variety of high-quality graphs.

Some of the important topics covered in this chapter are as follows:

  • Working efficiently with graph functions...