Analytic Website

A comprehensive web application designed for data analytics and visualization using Django.

Table of Contents

• Features
• Installation
• Usage
• Contributing
• License
• Acknowledgements

Features

• Data Visualization: Interactive charts and graphs to visualize data.
• User Authentication: Secure login and registration system.
• Responsive Design: Compatible with all devices.
• Real-time Updates: Live data updates for dashboards.

Installation

To install and run this project locally, follow these steps:

1. Clone the repository

   git clone https://github.com/Sparsh57/Analytic_Website.git

2. Navigate to the project directory

   cd Analytic_Website

3. Create a virtual environment and activate it

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

4. Install dependencies

   pip install -r requirements.txt

5. Configure the database: Open settings.py and update the DATABASES configuration with your database details.

   DATABASES = {
       'default': {
           'ENGINE': 'django.db.backends.postgresql',  # or 'mysql', 'sqlite3', 'oracle'
           'NAME': 'your_database_name',
           'USER': 'your_database_user',
           'PASSWORD': 'your_database_password',
           'HOST': 'your_database_host',
           'PORT': 'your_database_port',
       }
   }

6. Apply database migrations

   python manage.py migrate

7. Create a superuser to access the Django admin panel

   python manage.py createsuperuser

8. Run the development server

   python manage.py runserver

Usage

1. Access the website: Open your web browser and navigate to http://localhost:8000.
2. Register/Login: Create a new account or log in with your credentials.
3. Explore Features: Use the dashboard to upload data and create visualizations.

Contributing

Contributions are welcome! Follow these steps to contribute:

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

License

This project is licensed under the MIT License. See the LICENSE file for details.

Acknowledgements

• Django for the web framework.
• Chart.js for data visualization.
• Bootstrap for responsive design.