https://github.com/andrewzgheib/football-database-analysis

Football database utilizing PostgreSQL and Pandas for data management, with PowerBI for intuitive KPI visualization
https://github.com/andrewzgheib/football-database-analysis

data-analysis data-visualization database pandas pgsql postgr powerbi sql

Last synced: 28 days ago
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Football database utilizing PostgreSQL and Pandas for data management, with PowerBI for intuitive KPI visualization

• Host: GitHub
• URL: https://github.com/andrewzgheib/football-database-analysis
• Owner: andrewzgheib
• Created: 2024-02-22T22:44:34.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-04-26T20:04:17.000Z (7 months ago)
• Last Synced: 2024-09-27T18:21:23.969Z (about 1 month ago)
• Topics: data-analysis, data-visualization, database, pandas, pgsql, postgr, powerbi, sql
• Homepage:
• Size: 6.97 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## Overview

This project is aimed at creating a comprehensive football database structure using PostgreSQL and visualizing KPIs using Microsoft PowerBI. The database encompasses various aspects of football data, including player statistics, match details, team information, and much more.

## Approach

- **Database Structure**: A relational database structure developed from scratch to store football-related data efficiently.

- **Data Collection and Cleaning**: Collected data from various sources on the internet and performed data cleaning using the Pandas library to ensure data accuracy and consistency.

- **Query Development**: Generated multiple pgSQL queries to create tables, populate them with data, and extract meaningful KPIs.

- **Visualization**: Utilized Microsoft PowerBI to create interactive visualizations of the extracted KPIs, providing intuitive insights into football performance metrics.

## Technologies Used

- **Database Management**: PostgreSQL

- **Data Cleaning**: Pandas module

- **Data Visualization**: Microsoft PowerBI

## Database Schema

You can take a look at the schema [here](https://github.com/andrewzgheib/Football-Database-Analysis/blob/main/image.png), or if you wish of a more a detailed look, refer to the [Documentation.html](https://github.com/andrewzgheib/Football-Database-Analysis/blob/main/Documentation.html) file.

## Getting Started

1. Install and setup [PostgreSQL](https://www.postgresql.org/download/) on your local machine.

2. Execute [schema.sql](https://github.com/andrewzgheib/Football-Database-Analysis/blob/main/schema.sql) to create the necessary tables.

3. Optionally, you can run [data.sql](https://github.com/andrewzgheib/Football-Database-Analysis/blob/main/data.sql) to populate the dataset with sample data.

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A special thanks to @MichaelaRif for heavily contributing to this project