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# Django CSV Data Analysis and Visualization

## Overview

This project is a Django application for analyzing and visualizing CSV data. It allows users to upload CSV files, perform data analysis, and visualize results through interactive charts and graphs.

## Installation

### Prerequisites

Make sure you have the following installed on your system:

- Python 3.8 or higher
- Pip (Python package installer)

### Clone the Repository

First, clone the repository to your local machine:

```bash
git clone https://github.com/karan9970/Django-CSV-Data-Analysis-and-Visualization.git
cd Django-CSV-Data-Analysis-and-Visualization

Create a Virtual Environment

It is recommended to use a virtual environment to manage project dependencies:

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

Install Dependencies

Install the required packages listed in requirements.txt:

pip install -r requirements.txt

Configuration

Database Setup

This project uses SQLite for database management. The database file will be created automatically when you run migrations.

Apply Migrations

Apply the database migrations:

python manage.py migrate

Usage

Running the Development Server

To start the Django development server, use the following command:

python manage.py runserver

You can access the application in your web browser at http://127.0.0.1:8000/.

Uploading CSV Files

1. Navigate to the CSV upload page in the application.
2. Select the CSV file you want to upload.
3. Click "Upload" to process and analyze the data.

Viewing Analysis and Visualizations

Once the CSV file is uploaded, you can view the analysis results and visualizations through the web interface.

Contributing

If you would like to contribute to this project, please follow these steps:

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Make your changes.
4. Commit your changes (git commit -am 'Add new feature').
5. Push to the branch (git push origin feature-branch).
6. Create a new Pull Request.