CSV Plot Agent with LangChain & Streamlit: Your Introduction to Data Agents
Last Updated on September 23, 2025 by Editorial Team
Author(s): Sarah Lea
Originally published on Towards AI.
How you can learn the basics of tool-based agents with LangChain, GPT-4o-mini and Streamlit.
If you work with data a lot, you’re probably familiar with this. You open a new CSV file and always performing the same steps:
This article presents a guide on building a CSV Plot Agent using LangChain and Streamlit, aimed at simplifying data analysis through natural language queries. It covers the setup of a Python environment, the necessary tools for data visualization, and detailed coding examples. Readers will learn how to create a user interface that allows users to interact with datasets, analyze data intuitively, and visualize it in various formats. Furthermore, the article discusses features for quick checks and free input for data queries, making data exploration more accessible.
Read the full blog for free on Medium.
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