데이터분석 LangGraph Agent (w. Model Context Protocol)

What is LangGraph DataAnalysis Agent?

LangGraph DataAnalysis Agent is a Python-based tool that utilizes the Model Context Protocol (MCP) to perform data statistics, visualization, and modeling tasks. It integrates with the LangGraph framework to facilitate data analysis.

How to use LangGraph DataAnalysis Agent?

To use the agent, install the necessary packages and run the server and client scripts. You can input commands to analyze datasets, visualize data distributions, and train predictive models.

Key features of LangGraph DataAnalysis Agent?

• Statistical analysis of datasets
• Data visualization capabilities
• Model training for predictive analytics

Use cases of LangGraph DataAnalysis Agent?

1. Analyzing statistical properties of datasets like iris_data.csv.
2. Visualizing data distributions for better insights.
3. Training machine learning models to predict outcomes based on features from datasets.

FAQ from LangGraph DataAnalysis Agent?

• What types of data can be analyzed?

The agent can analyze various datasets in CSV format, allowing for flexible data input.

• Is there a specific programming language required?

Yes, the agent is built using Python, and users need to have Python installed to run it.

• Can I customize the analysis commands?

Yes, users can input custom commands to perform specific analyses as needed.