📊 Data Visualization Dashboard

A lightweight, powerful web-based tool built with FastAPI and Python that allows users to perform end-to-end data exploration. Upload any CSV, clean the data, filter it, and generate interactive visualizations in seconds.

✨ Features

• Dynamic Ingestion: Upload any CSV dataset with instant row/column previews.
• Session Isolation: Uses UUID-based session management to support multiple users simultaneously.
• Data Cleaning: Handle missing values (Drop or Fill) with column-specific targeting.
• Advanced Filtering: Query your data using logical operations (>, <, ==, Contains).
• Statistical Analysis: Automated calculation of Mean, Median, Min, and Max for numerical data.
• Interactive Charts: Render Bar, Line, Pie, and Scatter plots using Chart.js.
• Data Export: Download your processed/cleaned dataset as a new CSV.

🛠️ Tech Stack

• Backend: FastAPI (Python)
• Data Processing: Pandas
• Frontend: HTML5, CSS3, JavaScript (Vanilla)
• Charting: Chart.js
• Deployment Ready: Configured for Render/Railway

🚀 Getting Started

1. Clone the repository

git clone https://github.com/mkaify/data-visulization-dashboard.git
cd data-visulization-dashboard

2. Set up a virtual environment

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install Dependencies

pip install -r requirements.txt

4. Run Application

uvicorn backend.main:app --reload

The API will be available at http://localhost:8000. Simply open frontend/index.html in your browser to start exploring your data

5. 📁 Project Structure

├── backend/ │ └── main.py # FastAPI application & Data logic ├── frontend/ │ └── index.html # Dashboard UI & Charting logic ├── requirements.txt # Python dependencies └── .gitignore # Files to exclude from Git