Data visualization project from 2021.

During the COVID-19 pandemic, public health communication depended heavily on clear charts and per-capita metrics. This project explored coronavirus spread datasets, visualization choices, and the tradeoffs between raw counts and normalized rates.

Per-capita views can mislead for very small populations; absolute trends matter for understanding outbreak velocity. Good data presentation requires knowing what question you are answering.

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