Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Jun 2024
Publisher Packt
ISBN-13 9781803241005
Length 382 pages
Edition 1st Edition
Languages
Arrow right icon
Authors (2):
Arrow left icon
Ned Letcher Ned Letcher
Author Profile Icon Ned Letcher
Ned Letcher
Simon Aubury Simon Aubury
Author Profile Icon Simon Aubury
Simon Aubury
Arrow right icon
View More author details
Toc

Table of Contents (15) Chapters Close

Preface 1. Chapter 1: An Introduction to DuckDB FREE CHAPTER 2. Chapter 2: Loading Data into DuckDB 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...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime