Project Objectives

The main objectives of the project are to analyze and visualize the data related to health, lifestyle, and demographic factors, derive actionable insights from the visualizations, and predict stress levels of individuals using machine learning techniques.

Project Features

• Sleep health metrics analysis: Explore factors related to sleep duration, quality, and regularity.
• Lifestyle factors analysis: Investigate physical activity levels, stress levels, and BMI categories.
• Cardiovascular health analysis: Examine blood pressure and resting heart rate measurements.
• Sleep disorder analysis: Determine the presence of sleep disorders such as insomnia and sleep apnea.

Conclusion:

• First, the result doesn't mean men have more stressful jobs than women. It can be explained that males feel that they are under more stress. It might also mean that men do not do or spend enough time for relaxation. Different industries and occupations have their own unique stressors. For example, jobs with high levels of responsibility, long working hours, and high-pressure decision-making, such as corporate leadership roles or certain healthcare professions, can be stressful regardless of gender. These results mean that men should pay more attention to their stress levels. Be aware of how they feel and spend more time to find healthy relaxation habits and care about quality of sleep.
• We found out that both young men and women feel more stress.
• Stress levels might be explained not only by professional choice but also by self-care and quality of sleep. We took the same profession and got different results for each gender. Men are more stressed than women. From this conclusion, I can only recommend, as earlier, that men should pay more attention to their well-being and stress level, especially sleep quality.