A practical guide demonstrating how to combine pandas data analysis with local Large Language Models to automatically generate comprehensive DataFrame summaries and reports. The approach involves extracting key statistics from datasets using pandas, then feeding this structured data to an LLM (via Ollama) to create polished Markdown or HTML reports. The tutorial covers dataset preprocessing, statistical extraction functions, LLM integration using LangChain, and prompt engineering for report generation, offering a scalable solution for automated data reporting workflows.
Table of contents
Dataset Introduction and ExplorationThe Boring Part: Extracting Summary StatisticsThe Cool Part: Working with LLMsWhat You Could ImproveSort: