Ask-the-data probe report
No hay miniatura disponible
Fecha
Autores
Título de la revista
ISSN de la revista
Título del volumen
Editor
Resumen
Descripción
CIP Dataverse serves as the primary repository for CIP experimental datasets, but functions as a noninteractive,
download-oriented platform lacking built-in analysis and visualization capabilities. This
creates significant barriers for researchers who need coding expertise to perform data analysis, limiting
accessibility and reproducibility of findings for domain experts who are not data scientists.
Ask-the-Data (ATD) is a Shiny for Python application that addresses these challenges by integrating
interactive data exploration with AI assistance. The tool connects to datasets via DOI links from CIP
Dataverse, enables users to select tables and engage in natural language conversations with a Pandas
DataFrame agent, and generates visualizations and statistical analyses without requiring coding
expertise.
Key results include: (1) successful deployment of a web-accessible application at
https://askthedata.cipotato.org/; (2) integration of LangChain-powered conversational AI with pandas,
scikit-learn, and statsmodels libraries; (3) capability to generate comprehensive markdown reports
including visualizations, data tables, and conversation transcripts. The tool democratizes data science by
enabling researchers to perform advanced analyses through natural language queries.
Palabras clave
digital agriculture, open data, artificial intelligence, data analysis, large language, models
