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)

Extending our data with profit metrics

As mentioned earlier, our objective for this chapter is to diagnose the current state of business and find new opportunities. To start with, we will look at three business metrics from different angles. The metrics are number of sales, profits, and profit ratios. They tell us how much The Food Factory is selling in quantity, how much it's earning in money (profit), and where it's growth opportunities are (profit ratio). Keep in mind that this is not a professional financial assessment and, as always, the focus is on the programming techniques not the actual results from the analysis.

The first thing we need to do is add to each sale its corresponding profits and profit ratio. We assume that the only way we can count a profit is if the sale order has been delivered and has been paid. Otherwise, we'll state the profit and profit...