5 citations · 11 across the 9 of their papers we have counts for
3 papers · 1 filter
Data Analysis in the Era of Generative AI
Jeevana Priya Inala, Chenglong Wang, Steven Drucker +6
This paper explores the potential of AI-powered tools to reshape data analysis, focusing on design considerations and challenges. We explore how the emergence of large language and…
Contextualized Data-Wrangling Code Generation in Computational Notebooks
Junjie Huang, Daya Guo, Chenglong Wang +7
Data wrangling, the process of preparing raw data for further analysis in computational notebooks, is a crucial yet time-consuming step in data science. Code generation has the pot…
Data Formulator 2: Iterative Creation of Data Visualizations, with AI Transforming Data Along the Way
Chenglong Wang, Bongshin Lee, Steven Drucker +2
Data analysts often need to iterate between data transformations and chart designs to create rich visualizations for exploratory data analysis. Although many AI-powered systems hav…