Power BI Design Files

Abstract

1. Introduction

Welcome to my gallery of high‑impact Power BI dashboards. This repository showcases the work that has won multiple data visualization challenges and competitions, as well as carefully crafted portfolio pieces where every visual detail is intentional.

2. Objective

A library of Power BI dashboards, design files, datasets, and visualization resources. Learn dashboard design, explore real-world business scenarios, and accelerate your Power BI development.

This project demonstrates how Jupyter Notebook, Power BI can be applied to a real-world Data Science problem.

4. Technology Stack

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

• Python 3.8 or later with Jupyter Notebook / JupyterLab (or Google Colab)
• pip for dependencies
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/Dashboard-Design/Power-BI-Design-Files.git
cd Power-BI-Design-Files

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

• Turn the analysis into an interactive dashboard
• Automate data refresh with a scheduled job
• Add a predictive model on top of the analysis

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. What is the source of the dataset and how was missing data handled?
2. Which exploratory analysis steps revealed the most useful insight?
3. Why were these particular charts chosen to present the data?
4. Which statistical or ML technique supports the conclusions?
5. How could the analysis be automated or refreshed with new data?

9. Source Code & License

This project is developed by Dashboard-Design and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.