Analysing the Impact of Dietary Habits on Cholesterol Levels: A Simulation-Based Approach

A shortened version of an abstract study on dietary habits as they relate to cholesterol levels, using simulation in Python. It generated synthetic data for 100 participants, including diet (red meat, fish, dairy, chocolate) and health (cholesterol, blood pressure, and weight) characteristics. Libraries such as NumPy, pandas, matplotlib, and seaborn have been used in data analysis and visualization. A correlation matrix showed highly significant associations between dietary patterns and health outcomes.