FRED Data Analysis β Data skill for Claude Code
πΈ A comprehensive AI-powered data explorer that combines FRED economic data & insights with vector search, regression analysis, and interactive RAG chatbot via Pinecone Vector DB, OpenAI, Claude, and.
How to install FRED Data Analysis
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open hoangsonww/FRED-Data-Analysis and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What FRED Data Analysis does
πΈ A comprehensive AI-powered data explorer that combines FRED economic data & insights with vector search, regression analysis, and interactive RAG chatbot via Pinecone Vector DB, OpenAI, Claude, and Gemini. Built with TypeScript, React, and Express for seamless full-stack performance.
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README
FRED Data Analysis Project - A Comprehensive Analysis of the U.S. Economy
_By David Nguyen, 04/08/2025_
This repository contains a mockup full-stack application that fetches a wide range of U.S. economic data from the FRED API, vectorizes it using Pinecone, and provides a chatbot interface for querying the data. The application is built with TypeScript and uses Express for the backend. The frontend is a simple MUI-Powered React application that interacts with the backend API in a more user-friendly manner.
This project is divided into two main parts:
- The application:
- A sample full-stack application that fetches a wide range of economic data from the FRED API, clean and preprocesses it, and stores it in a MongoDB database.
- It also vectorizes the data using Pinecone and provides a chatbot with RAG (retrieval-augmented generation) capabilities.
- The backend is built with TypeScript and uses Express for the server.
- The frontend is a simple React application that interacts with the backend API.
- Visit the application section below for setup instructions and commands to run the application.
- The analysis:
- A detailed analysis of the FRED economics data using regression models and plots.
- The analysis is performed using TypeScript and the results are saved in the
backenddirectory. - The analysis includes linear regression, polynomial regression, regression on daily percent change, and logarithmic regression.
- The results are summarized in a report format, including charts and AI-generated & data-backed summaries.
- Visit the analysis section below for a detailed report on the FRED economic data analysis.
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