FIFA Analysis
Player value, wage fairness, and playing-style intelligence
Interactive dashboards for the four analysis scenarios defined in the project document: exploration and cleaning, value-for-money ranking, salary fairness testing, and advanced clustering with value prediction.
Current sample: 144.3K snapshots, 110 fields, 8 FIFA editions.
Snapshots
144.3K
Player-season records available for analysis
Attributes
110
Ratings, wages, identities, positions
Editions
15, 16, 17, 18, 19, 20, 21, 22
FIFA editions represented in the dataset
Genders
female, male
Dataset coverage for player groups
Data Loading and Exploration
Shape, schema preview, cleaning steps, null hotspots.
Scenario 1
Player Value-for-Money
VfM ranking, candidate radar, value scatter.
Scenario 2
Salary Fairness
League wage distribution and nationality pay heatmap.
Scenario 3
Advanced Analysis
Playing-style clusters and value prediction report.
Scenario 4