I AM YUEYIN JI
Player Summary Dashboard Prototype
Introduction
In this project, I harnessed data that included detailed scores for two teams across eight games. By scripting in Python, I automated the collection and integration process to prepare datasets for in-depth analysis.
Original Data
Statistical Analysis
I applied statistical methods to analyze the dataset. The analysis included calculating the score of each team for the total and each game and determining for each game which team is the winner.
In-depth Data Analysis
Beyond basic statistics, I performed a detailed analysis to pinpoint top-performing players—designating them as 'All-Stars’ and naming a player ‘MVP’ if he earned the highest score.
Moreover, I comprehensively analyzed the players on the team by determining their best and worst games and calculating the percentage of the team points by the players.
Data Visualization
I effectively communicate my findings by creating dynamic visualization such as “Beautiful Table” (shown above)
These visualizations served as an immediate, intuitive representation of complex data patterns and analysis results.
Learning Outcomes & Reflection
This case exemplifies my ability to transform raw data into meaningful trends and patterns. Through rigorous data processing, statistical analysis, and innovative visualization techniques, I have demonstrated proficiency in Python’s collection, loops, and other knowledge that is important for data analysis.