The sleep and health Dataset, loaded and parsed as CSV.

Dataset Introduction The Comprehensive Sleep and Health Metrics dataset is a fully synthetic collection designed to provide an extensive overview of how various factors might influence sleep quality and overall health. This dataset is created to simulate a wide range of scenarios and conditions, offering a robust foundation for predictive modeling and analytical studies. By utilizing synthetic data, the dataset ensures a comprehensive representation of potential variations and interactions in sleep and health metrics.

Dataset Description The dataset includes a diverse array of synthetic measurements, covering:

Heart Rate Variability: Simulated variability in time intervals between heartbeats. Body Temperature: Artificially generated body temperature in degrees Celsius. Movement During Sleep: Synthetic data on the amount of movement while sleeping. Sleep Duration Hours: Total hours of sleep generated through simulation. Sleep Quality Score: A synthetic score representing the quality of sleep. Caffeine Intake (mg): Amount of simulated caffeine consumption in milligrams. Stress Level: An index of simulated stress levels. Bedtime Consistency: Simulated consistency of bedtime routine. 0-1 scale, where lower values indicate more inconsistency. Light Exposure Hours: Synthetic hours of light exposure during the day. Reflects typical daylight exposure hours.