Breakfast and Energy Levels

This dataset explores the relationship between breakfast consumption and self-reported energy levels among university students. Data were collected from 50+ participants through a structured survey. The dataset includes demographic information (age, gender), breakfast type (e.g., cereal, bread, eggs, tea/coffee, or skipped breakfast), and corresponding energy levels rated on a 1–10 scale.The purpose of this dataset is to analyze whether eating breakfast influences energy levels throughout the day. It can be used for statistical analysis, data visualization, and as a resource for educational projects on health, nutrition, and daily performance.