🏀 Bench Power: How Bench Players Saved the Lakers

This project explores how Lakers bench players turned the tide in a pivotal game using data analysis, visual storytelling, and R programming.

Originally published as part of the Google Data Analytics Certificate Capstone, the project highlights:

• The impact of non-starters in clutch moments
• Visualization techniques for narrative insight
• The power of accessible tools and structured analysis

🔗 View the original notebook on Kaggle:
https://www.kaggle.com/earlgreyhot/bench-power-how-bench-players-saved-the-lakers

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📊 Tools Used

• R (tidyverse, ggplot2)
• Google Data Analytics framework
• AI tools for writing support and formatting

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🧠 Key Questions Explored

• How do bench players influence game outcomes?
• Can we quantify momentum shifts using simple stats?
• How can data storytelling make sports insights more accessible?

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📁 Repo Contents

• README.md – Overview of the project
• bench_power_placeholder.ipynb – Starter Jupyter notebook
• bench-power.csv – Original game data
• Bench Power.png – Game momentum visualization

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🖋️ Author

L. Cordero · Civic Technologist
🏛️ Exploring data storytelling at the intersection of public systems and AI

📂 More projects: github.com/earlgreyhot1701D
📝 Blog: The Forum Files