End-to-End Top 10 Everything - Premier League Using BeatifulSoup and Power BI

End-to-End Top 10 Everything - Premier League

Description: In my project, "End-to-End Top 10 Everything - Premier League," I embarked on a journey to uncover the hidden gems of the Premier League, diving into the data like never before. Armed with powerful tools and a passion for data analysis, I took a one-person tour through the exciting world of football statistics.

Tools Used:

1. BeautifulSoup Python Library: I harnessed the scraping capabilities of this Python library to extract valuable data from the official Premier League website. With meticulous precision, I collected information on various aspects, creating a treasure trove of statistics.
2. Power BI: The magic wand for data visualization, Power BI, was my go-to tool. With its capabilities, I transformed raw data into visually stunning dashboards and graphs, making the statistics come alive.

Project Steps:

1. Data Scraping: With BeautifulSoup, I left no stone unturned. I scraped data on the top 10 in various categories, including:

• Table Leading: Uncovering the league leaders, giving you a glimpse of the top contenders.
• Top Scorers: Revealing the players who lit up the scoreboard.
• Top Assists: Celebrating the unsung heroes who created those unforgettable moments.
• Most Clean Sheets: Recognizing the guardians of the goalposts.
• Most Yellow Cards: Shedding light on the fiercest competitors.
• Most Goals Scored by a Team: Spotlighting the attacking prowess of teams.
• Most Saves by Defense: Acknowledging the resilient backlines.
• Most Clearances: Praising the defenders who maintained order in the chaos.

2. Data Cleaning and Analysis: Once the data was in my hands, I meticulously cleaned and analyzed it using Power Query in Power BI. No stone was left unturned as I prepared the dataset for the grand unveiling.

3. Data Visualization and Dashboard Creation: With Power BI, I transformed data into art. Using stunning visuals, interactive charts, and intuitive dashboards, I presented the statistics in a way that made you feel like you were right in the heart of the Premier League action.

For Webscraping Code and .pbix file on my (GitHub):

https://github.com/Yousef2310/Top-10-Premier-League-Stats