Multiple projects have leveraged this dataset for:
• Exploratory Data Analysis (EDA): Cleaning data, calculating summary statistics, and visualizing relationships (e.g., value vs. wage, distributions of ratings) .
• Dashboards & Visual Tools: Interactive visuals, player radars, and filtering tools built using Python or Power BI .
• Community Analysis: Users share insights like highest potentials, undervalued players, and nationality patterns via forums (e.g., Reddit) .graph text