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Build Your First AI Agent for Automated Data Analysis (No-Code + Python)

1. What You’ll Build & Why It Matters

• Overview of the final agent: ingests a CSV, cleans it, generates summary stats, and outputs a visual report — all autonomously.
• Real-world use cases: weekly sales dashboards, survey analysis, log file inspection for non-technical stakeholders.
• Key technologies: OpenAI API (or local LLM via Ollama), LangChain for orchestration, and Plotly for visualisation.

2. Prerequisites & Environment Setup

• What you need: Python 3.10+, a free OpenAI API key (or Ollama installed locally), and basic familiarity with the terminal.
• Step-by-step virtual environment creation and dependency installation (langchain, pandas, openai, python-dotenv, plotly).
• How to securely store your API key in a .env

  Related: Ai Agent: Ai Agent Frameworks Eval 2024

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  Written byTheo Grant

  Theo Grant explores real-world AI applications, automation workflows, and hands-on tutorials at AI In Action Hub. Theo breaks down complex AI concepts into practical guides that help professionals and creators leverage AI in their daily work.