Athlete Performance Analysis Project
As someone passionate about data and endurance sports, I recently worked on an Athlete Performance Analysis Project to uncover trends and insights in long-distance running. By analyzing race data, I explored how factors like gender, age, and seasonal conditions influence athlete performance and participation.
Project Description
The employee report comprises three core dashboards: Overview, Training, and Recruitment. Each dashboard delivers critical insights into workforce composition, training initiatives, and recruitment activities, serving as a strategic tool to inform and optimize management decision-making processes.
🔍 What I Focused On
- Performance Trends: I examined how male and female athletes perform in 50km and 50mi races. 🏃♂️🏃♀️
- Age and Speed: I identified top-performing age groups, finding that athletes aged 29-35 tend to excel in long-distance events. 📈
- Seasonal Impacts: I studied how Spring and Winter races promote faster speeds compared to Summer events. 🍂☀️
- Participation Trends: I analyzed how gender-based participation changes across seasons. 👫
📊 How I Did It
Using Python and its versatile libraries:
- Pandas for data manipulation and cleaning.
- Seaborn and Matplotlib for clear and compelling visualizations.
- NumPy for numerical calculations.
💡 What I Learned
- Gender Differences: While male athletes show slightly higher average speeds, female athletes hold their own in both 50km and 50mi races.
- Seasonal Influences: Fall attracts the most participants, while Spring and Winter enable faster performances.
- Optimal Age Ranges: Athletes aged 29-35 consistently outperform others in long-distance events.
- Weather’s Impact: Summer conditions lead to slower speeds, highlighting the importance of race timing.
- Opportunities for Improvement: Data-driven race planning and targeted training programs can enhance both athlete experiences and event success.
🌟 Why This Matters
This project is more than just an analysis—it’s about helping athletes improve, enabling race organizers to optimize their events, and fostering a deeper understanding of what drives success in endurance sports.