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R Programming By Example

You're reading from   R Programming By Example Practical, hands-on projects to help you get started with R

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781788292542
Length 470 pages
Edition 1st Edition
Languages
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Authors (2):
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Omar Trejo Navarro Omar Trejo Navarro
Author Profile Icon Omar Trejo Navarro
Omar Trejo Navarro
Omar Trejo Navarro Omar Trejo Navarro
Author Profile Icon Omar Trejo Navarro
Omar Trejo Navarro
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Toc

Table of Contents (12) Chapters Close

Preface 1. Introduction to R 2. Understanding Votes with Descriptive Statistics FREE CHAPTER 3. Predicting Votes with Linear Models 4. Simulating Sales Data and Working with Databases 5. Communicating Sales with Visualizations 6. Understanding Reviews with Text Analysis 7. Developing Automatic Presentations 8. Object-Oriented System to Track Cryptocurrencies 9. Implementing an Efficient Simple Moving Average 10. Adding Interactivity with Dashboards 11. Required Packages

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...

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