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Learning R Programming

You're reading from   Learning R Programming Language, tools, and practical techniques

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Product type Paperback
Published in Oct 2016
Publisher Packt
ISBN-13 9781785889776
Length 582 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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Kun Ren Kun Ren
Author Profile Icon Kun Ren
Kun Ren
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Toc

Table of Contents (16) Chapters Close

Preface 1. Quick Start FREE CHAPTER 2. Basic Objects 3. Managing Your Workspace 4. Basic Expressions 5. Working with Basic Objects 6. Working with Strings 7. Working with Data 8. Inside R 9. Metaprogramming 10. Object-Oriented Programming 11. Working with Databases 12. Data Manipulation 13. High-Performance Computing 14. Web Scraping 15. Boosting Productivity

Writing R Markdown documents

The work of data analysts is more than putting data into models and drawing some conclusions. We usually need to go through a complete workflow from data collecting, to data cleaning, visualization, modeling, and finally writing a report or making a presentation.

In the previous chapters, we improved our productivity by learning the R programming language from different aspects. In this chapter, we will further boost our productivity by focusing on the final step: reporting and presentation. In the following sections, we'll learn a very simple language to write documents: markdown.

Getting to know markdown

Throughout this book, we have already learned a bunch of languages. These languages are very different and may confuse beginners. But if you keep in mind their purposes, it won't be hard to use them together. Before learning markdown, we'll take a quick review of the languages we learned in the previous chapters.

The first is, of course, the R...

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