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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

Building blocks for reusable high-quality graphs

To diagnose the business state and find new opportunities, in this chapter, we will use various types of graphs. When it comes to developing static high-quality graphs, you can't go wrong with the ggplot2 package. Standard (built-in) graphs in R are fine for exploratory purposes, but are not as flexible or nice-looking as ggplot2 graphs. Since we want to show how to create high-quality graphs, we will focus on using this package (and others extending it) for static graphs. However, since the vanilla ggplot2 package only works for static graphs, we will use other packages for high-quality interactive graphs.

A downside of having so much flexibility when using ggplot2 is that it's very verbose, thus requiring a lot of code to create graphs (specially when compared to standard R built-in graphing functions). We want to avoid...

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