Thabokuhle/Soccer-Data-Analysis

SQL analysis of a South African soccer dataset using Google BigQuery # South African Soccer Dataset – SQL Analysis ## Project Overview This project analyses a South African soccer dataset using Google BigQuery. The objective is to answer key analytical questions related to players, teams, contracts, salaries, and performance metrics. ## Dataset Source: South African Soccer Dataset Tool Used: Google BigQuery Table: soccer-project-480914.Soccer.SoccerSet ## Key Questions Answered - Total number of players - Players per team - Top goal scorers - Average salary per team - Contract expiry analysis - Goals and assists contribution ## Files -Soccer_Analysis -Images -Output_Data -Raw_Data ## Tools & Technologies - Google BigQuery - SQL ## Key Insights - Some teams have higher average salaries than others - Several player contracts expire next season - Goal contributions are concentrated among a few players ## Author Thabokuhle Khoza