Data Analysis with AI and R: Using Openai, Copilot, and Aider

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.

In Data Analysis with AI and R, you'll learn how to:

- Write better R code faster with AI
- Use AI to plan more complex R projects
- Systematically integrate feedback and tests generated by AI tools
- Integrate OpenAI's GPT models into data analytics workflows
- Recognize and overcome the limitations of LLMs

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.

Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications.

About the book

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.

About the reader

For readers who know the basics of R and data analytics.

About the author

Ulrich 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.