Obesity Causes Analysis
This analysis investigates the relationship between various types of dietary consumption and obesity rates (adults and children) across different countries.
Using descriptive statistics, correlation analysis, visualization, and predictive modeling, the study explores whether higher sugar intake per capita is associated with higher obesity levels.
Key findings indicate that sugar consumption alone is not a strong predictor of obesity, while age and gender distributions show stronger correlations.
These insights highlight the importance of considering multiple demographic and lifestyle factors in obesity prevention strategies.
Project Highlights
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Cleaned and organized financial data from over 190 countries
Used R for trend analysis, summary statistics, and data visualization