Dataset Viewer
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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