Analyzing Student Stress Factors
@kaggle.sidraaazam_analyzing_student_stress_factors
@kaggle.sidraaazam_analyzing_student_stress_factors
Information about the many sources and intensities of stress that students encounter may be found in the Student Stress Factors dataset. It encompasses a range of environmental, personal, and academic factors that affect students' mental health and general wellbeing. With information on study habits, exam pressure, workload, relationships, sleep patterns, and other lifestyle aspects, each record in the dataset represents a distinct student. This dataset's goal is to assist in determining the main causes of student stress so that support and understanding measures can be improved. In order to investigate student stress patterns, this dataset can be utilized for statistical analysis, data visualization, and the development of predictive models.
Context
The Student Stress Factors dataset contains information about the many sources and levels of stress that students experience. It includes a variety of academic, personal, and environmental elements that have an impact on students' general and mental health. Each record in the collection represents a unique student and includes details about study habits, exam pressure, workload, relationships, sleep patterns, and other lifestyle factors. The purpose of this dataset is to help identify the primary sources of student stress in order to enhance understanding and support strategies. This dataset can be used for data visualization, statistical analysis, and the creation of predictive models to look into student stress patterns.
@owid
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