Student Mental Health & Academic Pressure

By ranjeetverma3084 · February 1, 2026

Data source:

The analysis reveals that financial conditions are the most commonly reported cause of academic stress among students, accounting for nearly a quarter of all responses. A horizontal bar chart has been created to visualize the distribution of stress causes, showing the top 10 most frequently mentioned factors.

The analysis shows how academic pressure varies by gender within each education level. A grouped bar chart was created comparing average pressure levels (on a 1-5 scale) between genders across different education levels. The visualization makes it easy to see gender differences in academic pressure at each stage of education.

Yes, stress causes do vary across different age groups. The analysis reveals that different age groups experience different primary sources of academic stress, showing meaningful variation in what causes stress for students of different ages.

I've created a data table examining the relationship between sleep hours and academic pressure levels. The table organizes students by their sleep duration categories and shows the corresponding academic pressure metrics.

The analysis reveals notable differences in how male and female students experience stress. While 'Sometimes' is the most common response for both genders, males show a much wider range of stress experiences. A significant portion of male students (33.3%, or 7 students) report feeling stressed 'Always', whereas no female students fall into this category. Female students tend to cluster around moderate stress levels, with 75% reporting 'Sometimes' stressed and 25% reporting 'Often' stressed. Male students are more distributed across all three stress levels: 57.1% 'Sometimes', 33.3% 'Always', and 9.5% 'Often'.

Among students who get low sleep (5-6 hours or less per night), 60% also report experiencing frequent stress due to their studies.

The analysis successfully identified the top stress causes reported by each gender. A grouped bar chart was created to visualize how different academic stressors affect male and female students, making it easy to compare the frequency of each stress cause across genders.

The analysis successfully identified and profiled students experiencing maximum academic pressure. Two detailed data tables were generated showing the demographic distribution across different categories.

I generated a data table to help analyze the timing patterns of survey responses. The table shows the distribution of responses across different time periods, which can be used to examine whether there were differences in reported pressure levels between early and late respondents.

I've generated a data table showing the characteristics of students who report low academic pressure (ratings of 1-2). The table provides a detailed breakdown of these students across multiple dimensions including their demographics, stress levels, and sleep patterns.

The analysis identified priority student segments for mental health interventions by combining academic pressure, stress frequency, and sleep quality into a comprehensive risk score. A visualization was created showing the top 8 student segments ranked by their mental health risk levels, broken down by age group and education level.