Flask Data Visualization Panel

A simple web application built with Flask that allows users to upload CSV files, view data summaries, and generate dynamic graphs.

This project was created as part of a Tech Istanbul bootcamp assignment.

Features

• CSV Upload: Upload .csv files directly from the browser.
• Data Summary: View dataset statistics (describe) and structure (info).
• Dynamic Plotting: Select X and Y axes to visualize relationships.
• Graph Types: Supports Scatter, Line, Bar, and Box plots.

Tech Stack

• Backend: Python, Flask
• Data Analysis: Pandas, NumPy
• Visualization: Seaborn, Matplotlib
• Frontend: HTML

How to Run

1. Create a virtual environment

   python3 -m venv venv
   source venv/bin/activate

2. Install dependencies

   pip3 install -r requirements.txt

3. Run the application

   python3 app.py

4. Open in Browser Go to http://127.0.0.1:5000