Project Details

Client:

Personal / Sports Analytics Project

Tool:

Tableau, Microsoft Excel

AFL Player Performance Analysis – Tableau

Visualizing 15 Seasons of AFL Player Performance with Tableau

This project analyzes the performance of 600+ AFL players across 15 seasons using an interactive Tableau dashboard built from cleaned Excel match data. The objective was to turn static, multi-season spreadsheets into a dynamic tool that highlights player strengths, physical traits, and goal-scoring efficiency—giving coaches and analysts an edge in performance tracking and recruitment.

The dashboard visualizes key performance indicators such as average goals, assists, marks, and physical attributes like height and weight. Players are segmented by age group to surface trends in performance across different career stages. One insight revealed that players aged 28–30 had the highest average goals per game, while taller, heavier forwards showed stronger scoring outputs overall. Some veterans maintained consistent KPIs over time, offering strategic value for coaching decisions and scouting.

This project demonstrates strong skills in Tableau dashboard design, Excel data wrangling, and sports performance storytelling—delivering value to both technical and non-technical audiences in real time.

Explore the project in full: https://github.com/dangquii/afl-player-performance-tableau

About Myself

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I’m Phu Qui Dang, an early-career data analyst (SQL | Python | Azure | Tableau) who enjoys turning raw information into clear, actionable stories. I’m currently completing a Master of Business Analytics at La Trobe University and have delivered projects in hotel revenue analytics, smart-city IoT pipelines, and Excel-based sales dashboards. I’m actively open to full-time roles, internships, or freelance collaborations where data, cloud tools, and sharp visuals can move decisions forward.

About Myself

icon
icon
icon

I’m Phu Qui Dang, an early-career data analyst (SQL | Python | Azure | Tableau) who enjoys turning raw information into clear, actionable stories. I’m currently completing a Master of Business Analytics at La Trobe University and have delivered projects in hotel revenue analytics, smart-city IoT pipelines, and Excel-based sales dashboards. I’m actively open to full-time roles, internships, or freelance collaborations where data, cloud tools, and sharp visuals can move decisions forward.

About Myself

icon
icon
icon

I’m Phu Qui Dang, an early-career data analyst (SQL | Python | Azure | Tableau) who enjoys turning raw information into clear, actionable stories. I’m currently completing a Master of Business Analytics at La Trobe University and have delivered projects in hotel revenue analytics, smart-city IoT pipelines, and Excel-based sales dashboards. I’m actively open to full-time roles, internships, or freelance collaborations where data, cloud tools, and sharp visuals can move decisions forward.