This project is a prototype data analytics dashboard built with Streamlit. It aims to provide insights into the dataset by visualizing data through interactive charts and tables.
To set up the project environment, you will need Python installed on your machine. Once Python is installed, follow these steps:
-
Clone the repository to your local machine:
git clone https://github.com/rubythalib33/data-analytics-dashboard.git
-
Navigate to the project directory:
cd data-analytics-dashboard
-
Install the required Python packages:
pip install -r requirements.txt
After setting up the project environment, you can run the application using the following command:
streamlit run app.py
This will start the Streamlit server, and your default web browser should automatically open to the application's URL, typically http://localhost:8501
. You can interact with the dashboard through the web interface.
- Interactive data visualization
- Data filtering and selection
We welcome contributions to this project! Please feel free to fork the repository, make your changes, and submit a pull request.
This project is licensed under the MIT License - see the LICENSE file for details.