Exploratory Data Analysis on FIFA 19 Player Dataset

• Conducted in-depth exploratory data analysis on FIFA 19 dataset featuring 18,000+ players and 70+ attributes.
• Cleaned and transformed data: parsed monetary values (e.g., wages, market value), handled missing ratings, and dropped redundant features.
• Visualized trends in player age distribution, rating vs. potential by age, and top clubs by average player value and performance.
• Explored correlations between skill attributes and market value to identify undervalued talent and performance patterns.