Here are 15 rows from `raw.Social_media_impact_on_life`, shown in the result block above. The table has one row per student (keyed on `Student_ID`), with 20 columns. The sample is ordered by `Student_ID`, so it is a convenient slice and not a statistically random draw. **What the rows show** - **Who is in it:** ages run from 15 to 22. There are 8 female and 7 male students, spread across High School, Undergraduate and Postgraduate levels. - **Platforms and devices:** YouTube is the most common primary platform (6 of 15). TikTok, Instagram, Reddit, Snapchat and X (Twitter) also appear. 13 of 15 students mainly use a smartphone, with one on a tablet and one on a laptop/PC. - **Usage:** daily hours range from 2.9 to 10.4, with weekend extra hours between 0.4 and 3.1. 10 of 15 students report late-night use. - **Outcomes:** the measures are sleep hours and quality (1–4 in this sample), perceived stress, a mental health index and GPA. The 15 rows carry the sleep-quality scores 1 to 4, GPAs from 2.37 to 4.0 and mental health index values from 56 to 95. - **Overall impact label:** 14 of 15 rows are "Beneficial" and only one is "Negative". This is a small sample, so it may not match the whole table. **Patterns in these rows** - The one "Negative" student (STU_2025378) has the heaviest use in the sample (10.4 hours a day on TikTok). That student also has the shortest sleep among the Negative-labelled rows (4.8 hours), the highest stress (29), the lowest mental health index (56) and a GPA of 2.37. - Students with lighter use, such as 2.9–3.5 hours a day, tend to have 7+ hours of sleep, lower stress and GPAs near 4.0. - Labels don't always follow the numbers. STU_2025320 uses Reddit 8.3 hours a day and sleeps 4.4 hours, yet is labelled "Beneficial". The label may not follow strictly from the other columns. I can follow up with a random sample, or with averages of sleep, stress and GPA by usage band, for example.