PHPMem v2.0.1

Version
1.6.45
Uptime
15 days 12 hours 51 minutes 54 seconds

Memory

Total
512MB
Used
9,60MB (1.88%)
Free
502,40MB

Keys

Current
11 840
Total (since start)
35 066
Evictions
0
Reclaimed
733
Expired Unfetched
0
Evicted Unfetched
0

Connections

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14 / 1 024 max
Total
173 964
Rejected
0
llm:fe0706f32f51f1fa9e107ef2a276b1798ec77fd93f94fa473b8e86a285a91c96
TTL 6 days 22 hours 52 minutes 28 seconds Size 2,32KB Export
Edit
The dataset has one identifier, six categorical dimensions, eleven numeric metrics and one real timestamp. The catalog tags its columns with a semantic role, and I adjusted a few of those tags where they misread the data. **Identifier** - `user_id` is a text ID running USR-00001 to USR-08500, with no nulls. The grain is one row per user. - The catalog's distinct count is only approximate (~7,297 against 8,500 rows), so I haven't confirmed that every ID is unique. **Categorical dimensions** - `gender` has about 3 values. - `occupation_type` has about 5 values, such as Corporate 9-to-5 and Student. - `chronotype` has about 3 values, such as Intermediate and Night Owl. - `primary_bedtime_app` has about 6 values, such as Instagram / Reddit and YouTube. - `sleep_debt_category` has about 4 values, from Mild Deficit to Severe Sleep Debt. It is derived from `total_sleep_hours`, so it is an outcome label rather than an independent input. - `blue_light_filter_active` is a 0/1 flag stored as BIGINT. Treat it as a binary category and don't average it as a measure. **Numeric metrics** - Demographic and behavioral inputs: - `age` (18–65) - `bedtime_phone_minutes` (1–180) - `screen_brightness_pct` (10–100) - `caffeine_post_5pm_mg` (0–250) - `physical_activity_min` (0–112) - Sleep and next-day outcomes: - `sleep_latency_min` (6.0–123.3) - `total_sleep_hours` (3.2–9.8) - `deep_sleep_pct` (8.1–28.0) - `rem_sleep_pct` (9.6–27.0) - `morning_alarm_snoozes` (0–7) - `next_day_fatigue_score` (1.0–10.0) The catalog tags `bedtime_phone_minutes` as temporal, but it is a duration in minutes, not a date or time, so it belongs with the metrics. It is also flagged as person-identifying, so aggregate it and don't quote individual values. **Dates / times** - `_ingestion_timestamp` is the only true timestamp. It holds a single value (2026-10-01 03:08:19), so it records when the data was loaded and cannot support trend analysis. - The dataset has no event dates, so there is no time dimension for the sleep behaviour itself. **Pipeline metadata (not analytical)** - `_batch_id`, `_source_file` and `_source_system` each hold one constant value. They are lineage fields and carry no analytical signal.