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Observation:
This scatterplot reveals a negative correlation between the number of hours students spend on social media per day and their exam scores. Students who spend more time on platforms like Instagram, TikTok, or WhatsApp tend to perform worse academically. This may be due to reduced study time, poor sleep habits, or decreased attention spans caused by constant digital stimulation. The downward trend highlights how excessive screen time might interfere with academic focus and retention. While some outliers do perform well despite high usage, the general pattern suggests that social media consumption may be a significant academic distraction. —

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Observation:
This graph demonstrates a positive correlation between the number of sleep hours students get each night and their exam performance. Students who report getting more sleep tend to achieve higher exam scores, reinforcing the well established connection between adequate rest and cognitive performance. Sleep improves memory consolidation, attention, and problem solving skills. The upward trend here suggests that promoting good sleep hygiene among students may have tangible benefits in academic outcomes. It also serves as a reminder that late night scrolling or screen exposure often fueled by social media could impair rest and, by extension, performance.

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Observation:
This boxplot compares GPA between students who reported experiencing conflicts over social media and those who did not. The data suggests that students involved in frequent social media related conflicts possibly arguments with peers, online bullying, or relationship tensions — tend to have slightly lower GPAs. These disruptions may increase stress, lower concentration, or reduce available time for study. Even minor digital drama can spill into academic life. While the GPA difference is not extreme, the pattern indicates that the emotional toll of social media interactions should not be underestimated in educational settings.

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Observation:
This graph reveals a strong negative correlation between students’ self reported social media addiction scores and their mental health ratings. As addiction scores increase, mental health ratings decline significantly. This supports findings from psychology and behavioral health research showing that excessive social media use can contribute to anxiety, depression, low self esteem, and feelings of isolation. The addictive nature of social platforms including notification loops, comparison culture, and fear of missing out may compromise emotional well being. This chart makes a compelling case for promoting healthier screen habits and digital literacy.

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Observation:
Unlike the addiction plot, this graph shows a subtle but positive relationship: students who study more hours per day tend to report better mental health. This might seem surprising, but structured academic routines may foster a sense of accomplishment, control, and reduced last minute stress. Students who manage their time well may also have more balanced lives. However, extremely high study hours may reverse this trend due to burnout something not heavily represented in this sample. Overall, the plot encourages healthy, consistent study habits as part of a balanced mental wellness strategy.

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Observation:
This bar chart shows the popularity of different social media platforms among students. Instagram, TikTok, and WhatsApp appear most frequently, indicating where students are most active. The dominance of visual based and fast paced platforms suggests preferences for quick, entertaining, and social content. This has implications for both engagement and risk: such platforms are often linked to body image concerns, viral content exposure, and shortened attention spans. Educators and mental health professionals could use this data to better target interventions and digital wellness education toward the platforms students use the most.

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Observation:
This boxplot illustrates how social media addiction scores vary by gender. The graph may show that one gender, often females in many studies reports higher levels of perceived addiction. This can reflect both higher use and greater self awareness or sensitivity to negative effects. Alternatively, it may highlight how societal pressures such as appearance based comparison on Instagram impact students differently across gender identities. Understanding these disparities is crucial for designing gender sensitive interventions, promoting inclusive support systems, and avoiding one size fits all digital health recommendations.