Past Event

Tow Tea: Visualizing Data with ChatGPT

February 26, 2024
4:00 PM - 6:00 PM
Pulitzer Hall, 2950 Broadway, New York, NY 10027 Brown Institute

Let's use ChatGPT to make some charts! Programming tasks, like data visualization, are now easier than ever thanks to the magic of large language models. Join Prof. Dhrumil Mehta (Columbia U.) and Prof .Aarushi Sahejpal (American U.) for a hands-on workshop where you will learn the principles of good data visualization and how to use ChatGPT to build charts in R's powerful ggplot library. You'll also see how we're using language models to build more complex interactive visualizations for the web. Don't know how to code? Don't worry! This session is for you! Just bring a laptop and get ready to have some fun!

Aarushi Sahejpal, Data Scientist and Journalist | American University School of Communication

Aarushi Sahejpal is a data scientist and journalist exploring inequality and accountability. He is a professor of quantitative methods and data journalism at American University’s School of Communication, and Data Editor at the Investigative Reporting Workshop at American University. He did cool things, and learned a lot, at The COVID Tracking Project at The Atlantic, Reveal from The Center for Investigative Reporting, Education Week, Cisco Systems, and The White House Office of Science and Technology Policy.

Dhrumil Mehta, Associate Professor | Columbia Journalism School

Dhrumil Mehta is an Associate Professor of Journalism at Columbia University and the Assistant Director of the Tow Center for Digital Journalism. He helps to run the Columbia's Computer Science + Journalism Dual M.S. program and is also a Visiting Associate Professor in Public Policy at the Harvard Kennedy School. Dhrumil teaches classes at the intersection of journalism, statistics and computation. Previously, Dhrumil was a Database Journalist at FiveThirtyEight, where he built databases, scrapers, bots, and interactive graphics alongside reporting and writing about elections, public opinion and media.


For all settings, the University continues to strongly recommend that affiliates stay home if they feel unwell and isolate according to CDC guidelines if they test positive for COVID-19.


Contact Information

Tow Center for Digital Journalism