SuperSales Insights - Dashboard Python

Table of Contents

1. About The Project
   • Built With
2. Usage
3. License
4. Contact
5. Acknowledgments

About The Project

This project is a Python-based dashboard designed for the visualization of supermarket sales data. It provides an interactive interface that allows users to explore and analyze sales data easily and efficiently.

Key Features

• Data Visualization: The dashboard offers interactive charts and tables that display essential information about supermarket sales, including sales trends, top-selling categories, performance over time, and more.

• Analysis Tools: Users can select the desired month for analysis.

• User-Friendly Interface: The dashboard's interface is intuitive and user-friendly, designed to cater to both technical and non-technical users for optimal data visualization.

• Flexibility: This project is highly flexible and customizable, allowing for expansion and the addition of additional features to meet user needs.

(back to top)

Built With

(back to top)

Usage

. Clone this repository to your local machine.

2. Install the dependencies listed in the requirements.txt file using pip.

3. Run the Streamlit application with the command streamlit run dash.py from the /py folder.

4. Open your web browser and access http://localhost:8501 to interact with the dashboard.

5. Explore the data, apply filters, and analyze the supermarket sales information.

Docker

1. Clone this repository to your local machine.

2. Ensure that Docker is installed on your machine.

3. Navigate to the Docker folder within the project's root directory.

4. Execute the following command to build and run the Docker image:

     docker build -t my-dashboard-app .
     docker run -p 8501:8501 my-dashboard-app

5. Open your web browser and access http://localhost:8501 to interact with the dashboard.

License

Distributed under the MIT License. See LICENSE.txt for more information.

(back to top)

Contact

Guilherme Weber - weba.guilherme@outlook.com

Project Link: https://github.com/your_username/repo_name

(back to top)

Acknowledgments

Dashboard built based on a tutorial from Azimov Academy.

(back to top)