Egyptian league (Web scraping and Dashboard)

Excited to Share My Latest Project: Egyptian League Dashboard!

I’m thrilled to announce the completion of my most recent project: Egyptian League Dashboard, which I built using data scraped from the Transfermarkt website.

Project Overview: This project involved web scraping, data cleaning, and creating a multi-page interactive dashboard that provides insights into various aspects of the Egyptian football league. My key goal was to offer a comprehensive, data-driven view of player stats, standings, transfers, and team performance.

Technologies Used:

- Python & BeautifulSoup: For scraping player and match data directly from Transfermarkt.

- Pandas: For efficient data cleaning, wrangling, and manipulation to ensure high-quality insights.

- Power BI: To design and develop a dynamic 7-page dashboard that includes:

Home Page: Overview of key stats.

Player Statistics: Detailed performance metrics of players.

Standing Statistics: Team positions and form.

Transfers: Overview of player transfers within and outside the league.

Play Abroad: Players who moved abroad from Egyptian clubs.

? Al Ahly & Zamalek: Players’ movement between the two rival clubs.

️ Team vs Team: Match results with win percentages for each team.

Skills Applied:

- Data scraping (Python, BeautifulSoup)

- Data cleaning and transformation (Pandas)

- Data visualization (Power BI)

#Project #DataScience #Python #BeautifulSoup #PowerBI #Pandas #WebScraping #DataVisualization #EgyptianLeague #FootballAnalytics