Student Lifestyle Performance Dataset

By shrijeetverma13 · April 20, 2026

This dataset contains synthetic data representing the relationship between student lifestyle habits and academic performance. It includes variables such…

There is a moderate positive correlation (r = 0.507) between daily study hours and CGPA, meaning more study time generally leads to higher grades. For consistently high performance (CGPA ≥ 8.0), the minimum study threshold is approximately 6.5 hours per day. Two visualizations were generated: a scatter plot with a trend line showing the relationship, and a bar chart showing average CGPA across different study hour ranges with a reference line at CGPA 8.0.

The analysis explores how different diet types relate to students' academic performance (CGPA), stress levels, and gym activity. Two visualizations were generated: a grouped bar chart comparing average CGPA, stress scores, and gym hours across diet types, and a box plot showing the distribution of CGPA scores for each diet group. These charts make it easy to spot which dietary habits are associated with better grades, lower stress, or more physical activity.

The analysis compared average CGPA and internal marks across all academic branches. A grouped bar chart has been generated showing each branch's average CGPA alongside their average internal marks, making it easy to visually compare performance across departments. A data table is also available with the detailed breakdown per branch.

The analysis produced a chart and data table showing how CGPA, study hours per day, and stress levels vary across student ages from 17 to 25. The visualization plots all three metrics on a shared scale, making it easy to compare their trends side by side as students get older.

The analysis successfully identified the optimal sleep hours range that maximizes CGPA while minimizing stress levels. A bar and line chart was generated showing how average CGPA (green bars) and average stress levels (red line) vary across different sleep hour ranges from 3-4 hours up to 9-10 hours per night. The visualization makes it easy to spot which sleep range offers the best trade-off between academic performance and wellbeing.

Daily screen time has virtually no meaningful impact on CGPA or attendance percentage when looking at the overall student population. Two charts and detailed tables were generated to explore this relationship across all branches. The bar chart shows average CGPA grouped by screen time level (Low, Medium, High, Very High) for each branch, while the scatter plot maps individual students' screen time against their CGPA with bubble size representing attendance percentage.

Higher weekly gym hours do NOT meaningfully correlate with lower stress levels or better academic performance. The correlation coefficients are extremely close to zero across all three metrics, indicating no significant relationship between gym hours and these outcomes.

Among the four lifestyle factors analyzed, Study Hours per Day and Sleep Hours are by far the strongest predictors of high stress levels. Two bar charts and supporting data tables were generated to visualize these relationships across 1,000 students.

To achieve a CGPA above 8, students should aim for at least 80% attendance. The data shows that students who achieve CGPA 8 have a median attendance of 85.4% and a mean of 85.0%. The 25th percentile of this high-achieving group sits at 79.6%, meaning 75% of students with CGPA 8 attend at least 80% of the time. Notably, the attendance range where 50% or more of students achieve CGPA 8 starts at 95–100%, suggesting higher attendance significantly boosts your chances. Two visualizations and supporting data tables were generated to illustrate these findings.

The analysis compared students across different residence types on three key metrics: CGPA, Attendance Percentage, and Stress Level. Three data tables were generated showing the group-level breakdowns for each metric, allowing you to see how students living in different residence types (e.g., on-campus, off-campus, with family) compare on academic and wellbeing indicators.

Two visualizations were generated to profile students with CGPA above 9: a radar chart showing their normalized lifestyle metrics compared to the overall student population, and a grouped bar chart with exact average values for Study Hours/Day, Sleep Hours, Screen Time Hours, and Gym Hours/Week. These charts reveal how high-achieving students differ across all four lifestyle dimensions simultaneously.

Two visualizations were generated to explore stress levels and study hours across branches. The first chart shows a dual-axis bar and line plot comparing average stress levels (bars) and average study hours per day (line) for each branch, ranked from highest to lowest stress. The second is a scatter plot showing the relationship between study hours and stress levels for individual students, color-coded by branch with trend lines.

About 1 in 3 students (336 out of 1,000, or 33.6%) sleep fewer than 6 hours per night. Students who get at least 6 hours of sleep have a noticeably higher average CGPA of 7.66 compared to 6.65 for those sleeping less — a difference of about 1 full GPA point. A pie chart shows the sleep group breakdown, and a box plot visualizes the CGPA distribution for both groups, making the gap clearly visible.

Internal marks are a strong predictor of final CGPA. With a Pearson correlation of 0.868 and an R² of 0.754, internal marks explain about 75% of the variation in CGPA. The regression formula is: CGPA ≈ 0.0818 × Internal Marks + 1.92. Two charts were generated — a scatter plot showing the relationship by branch, and a grouped bar chart comparing scaled internal marks against CGPA across branches to highlight performance gaps.

Just 9 out of 1,000 students (0.9%) have a CGPA below 5. These students show distinct lifestyle patterns compared to their higher-performing peers. A bar chart has been generated comparing key lifestyle metrics between the two groups. Low-CGPA students study significantly less (1.82 vs 4.06 hours/day), sleep far less (3.94 vs 6.55 hours), attend fewer classes (69.1% vs 80.18%), and report higher stress levels (5.95 vs 4.57). The most common profile among low-CGPA students is a vegetarian diet and hostel residence.