Asking Data Analysis Questions with PandasAI
| dc.contributor.author | Dolan, Levi | |
| dc.date.accessioned | 2023-11-30T21:16:13Z | |
| dc.date.available | 2023-11-30T21:16:13Z | |
| dc.date.issued | 2023-11-08 | |
| dc.description.abstract | As easily accessible AI models have increased in visibility, one area of interest for those working with datasets programmatically is how AI might streamline common data analysis tasks. The recently-released PandasAI library is a Python library that connects to an OpenAI model (known for ChatGPT) and allows users to ask natural language-style questions about dataframes created in Pandas syntax. This lightning talk demonstrates how to start exploring this data analysis method using sample World Bank and World Happiness Report data. Potential limitations are also discussed. | |
| dc.identifier.citation | Dolan L. Asking data analysis questions with PandasAI. Beyond the Numbers Conference. St. Louis, MO. 11/08/2023. | |
| dc.identifier.uri | https://hdl.handle.net/1805/37235 | |
| dc.language.iso | en_US | |
| dc.rights | Attribution-NonCommercial 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | |
| dc.subject | Data analysis | |
| dc.subject | Artificial intelligence | |
| dc.subject | Large language models | |
| dc.subject | Python | |
| dc.title | Asking Data Analysis Questions with PandasAI | |
| dc.type | Presentation |