Chapter 20 Project Practice: Intelligent Data Analysis Agent
Data analysis with natural language — from "help me analyze last month's sales" to a complete analysis report.
Chapter Overview
Data analysis is one of the most practical application scenarios for Agents. This chapter builds an intelligent data analysis Agent that lets users describe analysis requirements in natural language, and the Agent automatically completes SQL queries, statistical analysis, chart generation, and report output.
Chapter Goals
- ✅ Implement safe conversion from natural language to SQL
- ✅ Build automated data analysis and visualization
- ✅ Extract insights from data using LLM
- ✅ Automatically generate structured analysis reports
- ✅ Integrate everything into a complete data analysis Agent
Chapter Structure
| Section | Content | Difficulty |
|---|---|---|
| 20.1 Requirements Analysis and Architecture Design | Feature planning and architecture | ⭐⭐ |
| 20.2 Data Connection and Querying | Text-to-SQL, secure access | ⭐⭐⭐ |
| 20.3 Automated Analysis and Visualization | Statistical analysis, chart generation | ⭐⭐⭐ |
| 20.4 Report Generation and Export | Markdown reports | ⭐⭐ |
| 20.5 Full Project Implementation | Integrating all components | ⭐⭐⭐⭐ |
🔗 Learning Path
Core Prerequisites: Chapter 4: Tool Calling, Chapter 6: Planning and Reasoning, Chapter 12: LangGraph Recommended but not required: Chapters 16–18: Production Series
Related Projects: