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NHL Dashboard

MIS 667A — Advanced BI Final Project | University of Dayton | 2023

Built a fully interactive multi-tab NHL analytics dashboard in Python Dash/Plotly covering 2010-2019 season data from MoneyPuck and Kaggle. Self-built dimensional model before visualization.

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Implemented all three advanced Dash interactivity patterns: one-to-many, many-to-one, and chained callbacks

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Used actual NHL team hex color codes for visual theming

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Calculated win percentage, points, and goal differential metrics from raw standing data

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