EliasK93/LangChain-SQL-Agent-for-dynamic-data-visualization

Example application for constructing and running an LLM-based LangChain SQL Agent based on GPT-4o mini that can dynamically query a database and invoke multiple visualization tools

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Experimental

This project helps public health researchers and data analysts quickly explore Eurostat health data without needing to write SQL queries or plotting code. You provide natural language questions about topics like tobacco, BMI, exercise, or alcohol consumption, and it returns automatically generated tables, bar plots, or time series plots.

No commits in the last 6 months.

Use this if you need to rapidly visualize trends or compare statistics from Eurostat's health determinants datasets by asking questions in plain English.

Not ideal if you need to analyze complex, custom datasets or require highly specialized or interactive visualizations beyond basic tables, bar, or time series plots.

public-health-analysis european-statistics data-exploration health-indicators data-visualization
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 9 / 25

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Stars

7

Forks

1

Language

Python

License

Last pushed

Oct 05, 2024

Commits (30d)

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