Can LLMs Actually Analyse Your Data?

Practical uses of LLMs for working with data in R.

talks
LLMs
data
Author
Published

February 16, 2026

Overview

LLMs are increasingly being woven into data analysis workflows, and it’s worth asking: where do they genuinely help, and where do they quietly get things wrong? This talk looks at practical uses of LLMs for working with data in R, including Posit’s recently released {querychat} package, which lets you query data using natural language. We’ll cover what works well, what to watch out for, and what’s actually worth adopting right now.

Event details

Event listing: Meetup

Date: Monday, Feb 16

Time: 5:00 PM to 6:00 PM GMT

Location: Online (please register RVP on Meetup for Teams link)

About the speaker

Nic Crane is an R educator and consultant who loves to experiment with LLMs and AI. They are also one of the maintainers of the Arrow R package and co-author of Scaling Up with R and Arrow.

Citation

BibTeX citation:
@online{crane2026,
  author = {Crane, Nic},
  title = {Can {LLMs} {Actually} {Analyse} {Your} {Data?}},
  date = {2026-02-16},
  url = {https://warwickrug.github.io/meetings/2026-02-16-llms-r/},
  langid = {en}
}
For attribution, please cite this work as:
Crane, Nic. 2026. “Can LLMs Actually Analyse Your Data?” February 16, 2026. https://warwickrug.github.io/meetings/2026-02-16-llms-r/.