Data
AI for Coding: Data Analysis & Visualization
April 16, 2026, 1:00 pm to 1:45 pm
Time: 1:00pm - 1:45pm
Presenter: Grigory Artazyan, Milan Simić
Location: Online
In this second workshop in our three-part series on AI for Coding, participants will work with AI tools to generate visualizations during hands-on activities. Learn to use the Cursor IDE to create charts in R using the ggplot2 package, and explore a range of plot types.
What you will learn:
- How to describe visualizations to AI
- When to use bar plots, scatter plots, and box plots
- Generate ggplot2 code by talking to Cursor
- Build charts by specifying what you want, not syntax
About the series: AI for Coding: Data Analysis with Cursor consists of three 30-minute workshops designed to help you use Large Language Models (LLMs) to support exploratory data analysis. We will introduce fundamental concepts, practice breaking down problems into actionable components, and use the Cursor IDE to integrate AI and code more efficiently. Each workshop focuses on a single topic with 30 minutes of teaching, followed by an optional 15 minutes for questions, discussion, and practice.
To build on other UBC Library Research Commons workshops the coding examples are in R, but the principles apply to any programming language. Beginners are welcome; participants who have some experience with R and the tidyverse packages will find it easier to follow along.
Register for other workshops in the series:
- Fundamentals of LLMs - April 9, 2026, 1-1:45pm
- Data Analysis & Visualization - April 16, 2026, 1-1:45pm
- Building with Cursor - April 23, 2026, 1-1:45pm