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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 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

Exploring DuckDB’s R API

In this chapter, we’ll be taking a close look at another DuckDB client API; this time for the R programming language. R is a programming language that’s designed for statistical computing and graphically representing data. It is used by many scientists and data practitioners, including data scientists, statisticians, and data analysts. It’s well-suited for performing data analysis, statistical modeling, and data visualization, as well as developing statistical software. DuckDB provides a feature-rich package for working with DuckDB databases in R: https://r.duckdb.org.

R benefits from a rich array of built-in data processing features and a rich ecosystem of data libraries. Experienced R users may wonder why they might want to add another R package to their toolbox. DuckDB enables you to scale your analytical data workflows further – you can run complex analytical operations efficiently and process much larger datasets than...

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