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🇨🇦 CCHS Physical Activity & Health Analysis

This project analyzes the Canadian Community Health Survey (CCHS): Public Use Microdata File (PUMF). The goal is to identify statistical correlations between self-reported physical activity frequency and various health outcomes, specifically focusing on BMI categories across different demographics in Canada.

Tech Stack:

  • Language: Python 3.11+
  • Analysis: Pandas, NumPy, Seaborn
  • Environment: Virtualenv (.venv)

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Canadian Health Outcomes Analytics: A Python-based data science project exploring correlations between physical activity levels and health outcomes (BMI/Obesity) using the StatCan CCHS dataset.

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