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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

Summary

In this chapter, you learned how to access different types of databases from R. We introduced the basic usage of relational databases such as SQLite and non-relational databases such as MongoDB and Redis. With the understanding of major differences in their functionality and feature sets, we need to choose an appropriate database to work with in our projects according to our purpose and needs.

In many data-related projects, data storage and data importing are the initial steps, but data cleaning and data manipulation cost most of the time. In the next chapter, we will move on to data-manipulation techniques. You will learn about a number of packages that are specially tailored for handy but powerful data manipulation. To better work with these packages, we'll need a better understanding of how they work, which requires the sound knowledge introduced in the previous chapters.

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