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Getting Started with DuckDB

You're reading from   Getting Started with DuckDB A practical guide for accelerating your data science, data analytics, and data engineering workflows

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Product type Paperback
Published in Jun 2024
Publisher Packt
ISBN-13 9781803241005
Length 382 pages
Edition 1st Edition
Languages
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Authors (2):
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Ned Letcher Ned Letcher
Author Profile Icon Ned Letcher
Ned Letcher
Simon Aubury Simon Aubury
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Simon Aubury
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Table of Contents (15) Chapters Close

Preface 1. Chapter 1: An Introduction to DuckDB 2. Chapter 2: Loading Data into DuckDB FREE CHAPTER 3. Chapter 3: Data Manipulation with DuckDB 4. Chapter 4: DuckDB Operations and Performance 5. Chapter 5: DuckDB Extensions 6. Chapter 6: Semi-Structured Data Manipulation 7. Chapter 7: Setting up the DuckDB Python Client 8. Chapter 8: Exploring DuckDB’s Python API 9. Chapter 9: Exploring DuckDB’s R API 10. Chapter 10: Using DuckDB Effectively 11. Chapter 11: Hands-On Exploratory Data Analysis with DuckDB 12. Chapter 12: DuckDB – The Wider Pond 13. Index 14. Other Books You May Enjoy

Technical requirements

Before we jump into using the DuckDB R client, we need to make sure that we have an appropriate environment up and running. In this section, we’ll go through the following aspects:

  • Installing R (4.1 or later) on your machine
  • Installing an IDE that supports R and offers a notebook interface
  • Installing the R packages that we’ll need to work with DuckDB

The R code for this chapter can be found in the chapter_09 directory of this book’s GitHub repository: https://github.com/PacktPublishing/Getting-Started-with-DuckDB/tree/main/chapter_09.

Getting the most out of this chapter

We’ve tried to make this chapter as accessible as possible to newcomers to R, but it’s not a complete introduction to R or doing data analysis with R. You’ll get the most out of this chapter if you’ve had some hands-on experience with R, including working with dataframes, however you can also use it as a brief crash...

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