The Sleep Health and Lifestyle Dataset comprises of a wide range of variables related to sleep and daily habits. It includes details such as gender, age, occupation, sleep duration, quality of sleep, physical activity level, stress levels, BMI category, blood pressure, heart rate, daily steps, and the presence or absence of sleep disorders.
The dataset exhibits a predominant presence of young adults, specifically within the age range of 30 to 39, constituting the majority (38%) of the population. Gender distribution indicates a slightly higher representation of females (51%) compared to males (49%). It highlights 11 occupations among 374 persons with an average age of 42. Analysis was done using Excel, and Power BI.
Please note that the dataset presented is synthetic and created by the author for illustrative purposes.
Data source: https://www.kaggle.com/datasets/uom190346a/sleep-health-and-lifestyle-dataset