Missing Data Tool

A web application for exploring patterns of missing data in datasets. Built with React (Vite, Tailwind CSS, Material UI), FastAPI, and Python data science libraries.

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Quick Start: Development Setup

1. Clone the Repository

git clone <repo-url>
cd missing-data-tool

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2. Backend Setup (FastAPI)

cd backend
python -m venv venv
# Activate the virtual environment:
# On Windows:
venv\Scripts\activate
# On Mac/Linux:
source venv/bin/activate
# Inside of the virtual environment:
pip install -r requirements.txt
python run.py

• The backend will run at http://localhost:8000 by default.

You can also run the backend directly with Uvicorn if you prefer:

uvicorn main:app --reload

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3. Frontend Setup (Vite + React + Tailwind)

cd ../frontend
npm install
npm run dev

• The frontend will run at http://localhost:5173 by default.

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4. Local API Proxy

The Vite dev server is configured to proxy /api requests to the FastAPI backend. No extra setup is needed. If you change backend ports, update vite.config.ts accordingly.

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5. Usage

• Open http://localhost:5173 in your browser.
• Upload a CSV, XLS, or XLSX file to test the tool.

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