LangChain for EDA: Build a CSV Sanity-Check Agent in Python

An agent is built using LangChain and Python to automate exploratory data analysis (EDA) on CSV files. This agent performs sanity checks such as displaying the data schema, detecting null values, and retrieving descriptive statistics. The process involves defining specific, small tools for the agent to use, which helps reduce hallucinations and ensures reproducible results. The tutorial provides a hands-on example using the Titanic dataset, guiding the user through environment setup, data preparation, and the creation of the agent's core logic.