DAGBP: Data Analyzer and Generator of Best-Fit Plots

Mentor: Dr. Suman Kundu

What this project is all about?

This is a data visualization tool built using Python and Flask. It allows users to upload a CSV file and generate visualizations based on the data.

Tech Stack

Backend: Python, Flask

Database: Firebase

Frontend: ReactJs, NodeJs, HTML, CSS, Javascript

Hosting: Netlify

Student

Name	Year	Department
Neeraj	Senior	Computer Science and Engineering
M K Laksath Adityan	Senior	Computer Science and Engineering

Features

• Users can upload a CSV file and generate visualizations based on the data
• Default visualizations are generated for a sample CSV file
• Dark and light themes for the dashboard
• Dashboard page shows different project statistics such as tech stack used

Deployed Link

You can find a live demo of this project at https://resilient-cobbler-f37332.netlify.app/. This project is hosted on Netlify and may take some time to spin up if the site is currently sleeping.

Getting Started

• Clone the repository
• Install the required dependencies for the backend: pip install -r requirements.txt
• Install the required dependencies for the frontend: cd frontend && npm install
• Build the frontend: npm run build
• Run the Flask app: python app.py
• Open your web browser and navigate to http://localhost:5000

Dashboard Page

Team Page

Default Data Page

Different Charts

Upload CSV/Data Processing Page

Default Visualization Page

Video Demo Link:

Click Here