StataGO A modern web application for econometric data processing and analysis that automates data harmonization and generates publication-ready Stata .do files for econometric research.

🎯 Overview

StataGo is a comprehensive tool designed for economists and researchers to streamline their data analysis workflow. The application combines AI-powered data harmonization with automated econometric code generation, making it easier to process datasets and conduct rigorous econometric analysis.

Key Features

• AI-Powered Data Harmonization: Automatically clean, standardize, and merge multiple datasets
• Smart Column Mapping: Intelligent matching of column headers across different data sources
• Stata Code Generation: Automatically generate .do files for various econometric models
• Multiple Regression Types: Support for OLS, IV, Fixed Effects, Logit, and Probit models
• Data Preview: Interactive preview of cleaned datasets before analysis
• Duplicate Detection: Identify and handle duplicate records across datasets
• Export Functionality: Download cleaned CSV files and generated Stata code

🛠 Technology Stack

Frontend

• React 18 with TypeScript
• Vite for fast development and building
• Tailwind CSS for modern, responsive styling
• Lucide React for consistent iconography
• React Router for navigation

Backend

• Flask (Python) for the REST API
• Pandas for data manipulation and analysis
• OpenAI API for intelligent data processing
• Flask-CORS for cross-origin resource sharing

📋 Prerequisites

Before you begin, ensure you have the following installed:

• Node.js (v18 or higher)
• Python (v3.8 or higher)
• npm or yarn package manager
• OpenAI API Key (optional, for AI features)

🚀 Installation & Setup

1. Clone the Repository

git clone <repository-url>
cd Project

2. Frontend Setup

Navigate to the frontend directory and install dependencies:

cd econ-file-factory
npm install

3. Backend Setup

Navigate to the backend directory and set up the Python environment:

cd econ-file-factory/backend

# Create a virtual environment (recommended)
python -m venv venv

# Activate virtual environment
# On Windows:
venv\Scripts\activate
# On macOS/Linux:
source venv/bin/activate
# Install Python dependencies
pip install -r requirements.txt
``
### 4. Environment Configuration

Create a `.env` file in the `econ-file-factory/backend` directory:
```env
OPENAI_API_KEY=your_openai_api_key_here
FLASK_DEBUG=True

Note: The OpenAI API key is optional. The application can run without it, but AI-powered features will be disabled.

🏃‍♂️ Running the Application

Start the Backend Server

cd econ-file-factory/backend
python app.py

The Flask server will start on http://localhost:5000

Start the Frontend Development Server

In a new terminal:

cd econ-file-factory
npm run dev

The React server will start on `http://localhost:5000'

Access the Application

Open your browser and navigate to http://localhost:5173 to use the application.