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Data Analysis with AI and R
数据分析与人工智能和 R
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Using OpenAI, Copilot, and aider
使用 OpenAI、Copilot 和 aider
Ulrich Matter  乌尔里希·马特
  • MEAP began June 2024
    MEAP 于 2024 年 6 月开始
  • Publication in Spring 2025 (estimated)
    2025 年春季出版(预计)
  • ISBN 9781633436329
  • 160 pages (estimated)
    160 页(估计)
  • printed in black & white
    以黑白印刷
Look inside
Upgrade your analytics with AI—from generating code to optimizing your workflows!
使用人工智能升级您的分析能力——从生成代码到优化工作流程!


Data Analysis with AI and R: Using OpenAI, Copilot, and aider shows you how to improve your R code and data analytics workflows using the power of Large Language Models (LLMs) and generative AI. Beginners and veterans alike will find essential techniques, prompts, and tutorials that will make you a more productive—and a more valuable—R data professional.
数据分析与人工智能和 R:使用 OpenAI、Copilot 和 aider 展示了如何利用大型语言模型(LLMs)和生成式人工智能来改进您的 R 代码和数据分析工作流程。初学者和老手都会发现必不可少的技术、提示和教程,这将使您成为一个更有生产力和更有价值的 R 数据专业人士。


In Data Analysis with AI and R, you’ll learn how to:
在使用人工智能和 R 进行数据分析中,您将学习如何:


  • Write better R code faster with AI
    使用人工智能更快地编写更好的 R 代码
  • Use AI to plan more complex R projects
    使用人工智能来规划更复杂的 R 项目
  • Systematically integrate feedback and tests generated by AI tools
    系统地整合由 AI 工具生成的反馈和测试
  • Integrate OpenAI’s GPT models into data analytics workflows
    将 OpenAI 的 GPT 模型集成到数据分析工作流程中
  • Recognize and overcome the limitations of LLMs
    认识并克服LLMs的局限性

It’s no secret that AI is changing the way we code, and R is no exception. Data Analysis with AI and R introduces powerful AI techniques that will improve your speed and accuracy writing R programs and help you create effective data analysis pipelines. You’ll start by using ChatGPT to write a ggplot2 data visualization script, and progress to writing LLM-supported R functions for everyday analytics tasks and creating an analytics pipeline with the help of Copilot and aider.
AI 改变了我们编码的方式,R 也不例外。《使用 AI 和 R 进行数据分析》介绍了强大的 AI 技术,将提高您编写 R 程序的速度和准确性,并帮助您创建有效的数据分析流程。您将首先使用 ChatGPT 编写 ggplot2 数据可视化脚本,然后编写LLM支持的 R 函数,用于日常分析任务,并借助 Copilot 和 aider 创建分析流程。

about the book 关于这本书

Data Analysis with AI and R: Using OpenAI, Copilot, and aider teaches you how to generate code, document feedback, write tests, and more that will add precision, power, and productivity to your data analytics tasks. First, you’ll get an AI and prompt engineering crash course introducing the skills you’ll need to get started. Next, you’ll start integrating AI into your everyday workflows, exploring the common AI pitfalls and weaknesses you’ll encounter. As you go, you’ll discover AI-driven techniques that will speed up almost any R task—from writing and formatting regression tables, to extracting named entities from natural language text.
数据分析与 AI 和 R:使用 OpenAI、Copilot 和 aider 教你如何生成代码、记录反馈、编写测试等,从而为您的数据分析任务增加精度、能力和生产力。首先,您将获得 AI 和提示工程崩溃课程,介绍您开始所需的技能。接下来,您将开始将 AI 整合到日常工作流程中,探索您将遇到的常见 AI 陷阱和弱点。在此过程中,您将发现由 AI 驱动的技术,可以加快几乎任何 R 任务的速度,从编写和格式化回归表,到从自然语言文本中提取命名实体。

about the reader 关于读者

For readers who know the basics of R and data analytics.
对于了解 R 语言和数据分析基础知识的读者。

about the author 关于作者

Ulirich Matter is an Assistant Professor of Economics at the University of St. Gallen’s SEPS-HSG. Before joining the University of St. Gallen, he was a Visiting Researcher at the Berkman Klein Center for Internet & Society at Harvard University.
乌利里希·马特(Ulirich Matter)是圣加仑大学 SEPS-HSG 的经济学助理教授。在加入圣加仑大学之前,他曾在哈佛大学伯克曼·克莱因互联网与社会中心担任访问研究员。

table of contents 目录

You can see this entire book for free. Click anywhere in the table of contents to start reading
您可以免费阅读整本书。单击目录中的任何位置开始阅读。

detailed TOC 详细的目录

PART 1: SETTING THE STAGE
第一部分:铺设舞台

PART 2: WRITING R CODE WITH LLM SUPPORT
第 2 部分:使用LLM支持编写 R 代码

4 An LLM-Toolbox for R
4 AN LLM-工具箱 FOR R

5 R-Workflows with LLM support
5 个带有LLM支持的 R-WORKFLOWS

PART 3: LLM-INTEGRATION IN R PROGRAMS
第 3 部分:LLM-R 程序中的集成

6 Speed up your Workflows with Self-Made LLM-Powered Tools
加快您的工作流程,使用自制的LLM动力工具

7 Connecting the Dots: Tutorial on LLM-Driven Analytics Project 

PART 4: CAVEATS AND LIMITATIONS
第四部分:警告和限制

8 LLM-Driven R: What Can (Possibly) Go Wrong?
8 LLM-DRIVEN R: 会发生什么(可能)出错?

9 Overcoming the Limitations of Current LLMs
9 克服当前LLMS的限制

Appendices 附录

Appendix A: Troubleshooting
附录 A:故障排除

Appendix B: Concepts Explained
附录 B:概念解释

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choose your plan

team

monthly
annual
$49.99
$499.99
only $41.67 per month
  • five seats for your team
  • access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
  • choose another free product every time you renew
  • choose twelve free products per year
  • exclusive 50% discount on all purchases
  • Data Analysis with AI and R ebook for free
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