Data-analytics-Dashboard

The Data Analytics Dashboard is a web application built using the Django framework that provides a user-friendly interface for performing data analysis tasks. This README will guide you through the installation process and how to run the application locally.

Installation

To get started with the Django Data Analysis Dashboard, follow these steps:

1. Prerequisites

Before you begin, ensure that you have the following installed on your system:

• Python (>= 3.6)
• pip (Python package manager)

2. Clone the Repository

Clone this repository to your local machine using Git:

git clone https://github.com/avd1729/Data-analytics-Dashboard.git

3. Create a Virtual Environment (Optional but Recommended)

Navigate to the project directory and create a virtual environment. This step is optional but highly recommended to isolate dependencies for this project:

cd dashboard
python -m venv venv

Activate the virtual environment:

• On Windows:

venv\Scripts\activate

• On macOS and Linux:

source venv/bin/activate

4. Install Dependencies

Install the required Python packages listed in the requirements.txt file:

pip install -r requirements.txt

5. Database Setup

Run the following command to create the necessary database tables:

python manage.py migrate

6. Running the Application

Start the development server by running the following command:

python manage.py runserver

The application should now be running locally at http://127.0.0.1:8000/.

7.Sample

Usage

Open your web browser and navigate to http://127.0.0.1:8000/ to access the Django Data Analysis Dashboard. The dashboard provides an intuitive interface to perform various data analysis tasks.