ChatGPT supports tabular-data work as an analytical assistant, helping users write commands, interpret results, summarize findings, and present charts or reports. section 1.5
Use ChatGPT to:
- Engineer features from textual columns by summarizing, categorizing, identifying themes, and generating Python processing code. section 1.5
- Analyze CSV files through preprocessing, analysis, visualization, summarization, and report generation, while producing executable Python code. section 1.5
- Interact with tables through natural-language questions, data manipulation, visualization, reporting, and automated prediction. section 1.5
Practical workflow
Give ChatGPT a CSV, request preprocessing and a chart, then inspect the generated Python and visualizations before using the results in a report. section 1.5



















