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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

Who this book is for

This book is for those who wish to develop software in R. You don't need to be an expert or professional programmer to follow this book, but you do need to be interested in learning how R works. My hope is that this book is useful for people ranging from beginners to advanced by providing hands-on examples that may help you understand R in ways you previously did not.

I assume basic programming, mathematical, and statistical knowledge, because there are various parts in the book where concepts from these disciplines will be used, and they will not be explained in detail. If you have programmed something yourself in any programming language, know basic linear algebra and statistics, and know what linear regression is, you have everything you need to understand this book.

This book was written for people in a variety of contexts and with diverse profiles. For example, if you are an analyst employed by an organization that requires you to do frequent data processing to produce reports on a regular basis, and you need to develop programs to automate such tasks, this book is for you. If you are an academic researcher who wants to use current techniques, combine them, and develop tools to test them automatically, this book is for you. If you're a professional programmer looking for ways to take advantage of advanced R features, this book is for you. Finally, if you're preparing for a future in which data will be of paramount importance (it already is), this book is for you.

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