phone_hours float64 | computer_hours float64 | device_count int64 | sleep_quality string | use_before_bed int64 | sleep_time int64 | sleep_hours float64 |
|---|---|---|---|---|---|---|
3.5 | 5 | 3 | good | 1 | 23 | 7 |
4.2 | 6.5 | 3 | medium | 1 | 0 | 6.5 |
5 | 4 | 4 | bad | 1 | 1 | 6 |
2 | 7.5 | 3 | good | 0 | 22 | 7.5 |
3.8 | 6 | 3 | medium | 1 | 0 | 6 |
4.5 | 5.5 | 3 | good | 1 | 1 | 7 |
6 | 8 | 5 | bad | 1 | 2 | 5.5 |
3 | 4 | 3 | medium | 1 | 23 | 7 |
2.5 | 3.5 | 2 | good | 0 | 22 | 8 |
4.8 | 6.2 | 3 | medium | 1 | 1 | 6 |
3.6 | 7 | 3 | bad | 1 | 0 | 5.5 |
2.2 | 5.5 | 3 | medium | 1 | 23 | 7.5 |
5.5 | 6.5 | 4 | good | 1 | 1 | 6 |
3.1 | 4.8 | 3 | medium | 0 | 22 | 7 |
4 | 7.2 | 3 | good | 1 | 0 | 6.5 |
2.8 | 5 | 3 | bad | 1 | 1 | 6 |
3.9 | 6.8 | 3 | medium | 1 | 0 | 7 |
4.7 | 7.5 | 4 | good | 1 | 2 | 6 |
5.2 | 6 | 3 | medium | 1 | 1 | 5.5 |
3.3 | 5.7 | 3 | good | 1 | 0 | 7 |
2.7 | 4.2 | 3 | medium | 0 | 23 | 7.5 |
3.5 | 5 | 3 | good | 1 | 0 | 6.5 |
4.1 | 6.3 | 3 | medium | 1 | 1 | 6 |
2.9 | 5.8 | 3 | bad | 1 | 0 | 5.5 |
5.8 | 7.2 | 5 | good | 1 | 2 | 6.5 |
3.4 | 4.9 | 3 | medium | 1 | 23 | 7 |
2.6 | 6.5 | 3 | bad | 1 | 0 | 6 |
4.9 | 7.8 | 4 | good | 1 | 1 | 6 |
3.7 | 5.4 | 3 | medium | 0 | 22 | 7.5 |
5.3 | 6.7 | 3 | bad | 1 | 0 | 5.5 |
Dataset Summary
This dataset records daily electronic device usage and sleep patterns of students.
It is designed for exploring the relationship between screen time, device behavior, and average sleep duration.
- Original size: 30 samples
- Augmented size: 300 samples
- Task type: Regression (predicting daily sleep hours)
- Goal: Predict
sleep_hoursfrom usage and sleep-related features
Data Splits
- No fixed train/test split is provided.
- Users can apply their own strategy (e.g., 80/20 split).
Intended Uses
- Regression Task: Predict
sleep_hoursfrom device usage. - Correlation Analysis: Study relationships between screen time and sleep quality.
- Education: Demonstrates dataset augmentation (30 → 300 samples).
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