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Part XII — Building Real Products (End-to-End Projects)/36. Project 5: Data-to-Insights Analyst Tool
36. Project 5: Data-to-Insights Analyst Tool
Overview and links for this section of the guide.
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The Vision
Business users have data (Excel/CSV) but don't know Python. They want to ask: "Show me sales by region for Q3."
We will build a tool where:
1. User uploads a CSV. 2. User asks a question in plain English. 3. AI writes a Python script (using Pandas/Matplotlib) to answer it. 4. System executes the script in a sandbox. 5. User sees the chart and the answer.How It Works
This is the most dangerous project because the AI writes code that we execute. Security is the main challenge. We will use a "Code Interpreter" pattern with strict sandboxing (e.g., Docker or WebAssembly).
Where to go next
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36. Project 5: Data-to-Insights Analyst Tool sub-sections
5 pages
36.1 Upload/ingest flow for CSV-like data
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36.2 Ask questions in natural language; answer in charts/tables
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36.3 Schema inference and validation
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36.4 Reproducible "analysis notebooks" from AI output
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36.5 Guardrails: avoid confident math errors
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