Your Health Dashboard

De-identified Apple Health analysis · 179 days of data · generated by apple-health-skill

Overview

179 days
Data span
2025-11-01 → 2026-04-30
4,235
Records
10 data types
82
Workouts
Male
Profile
38 yrs
8,623
Avg steps/day
7.0 h
Avg sleep
172 nights tracked

Top workouts by time

hours sessions
type
TraditionalStrengthTraining 30.8 33
Running 23.8 34
Cycling 16.3 15

Habits at a glance

value
Avg steps / day 8,623
Most active day Sun
Avg exercise / day 35 min
Avg sleep / night 7.0 h
Typical bedtime 22:33
Sleep efficiency 89%
Weekend vs weekday sleep −27 min
Resting heart rate 58 bpm
Heart rate variability 46 ms

Activity & Exercise

This view shows how your activity metrics move together over time, so you can see whether your overall activity is trending up or down.

These metrics use very different units, so each line is shown relative to your first month (set to 100). A line at 120 means that metric is 20% higher than when your data began; below 100 means lower. Lines rising together mean your overall activity is trending up.

Heart & Recovery

Each line is shown relative to your first month (=100) so metrics on different scales sit together. Watch the direction: a falling resting heart rate and a rising HRV or VO₂max both usually mean improving fitness and recovery — the two moving that way together is the encouraging pattern.

Sleep

These views focus on sleep quality and regularity: how consistent your schedule is, how weekdays compare with weekends, and how efficient your nights are.

Average hours asleep on weeknights vs weekend nights. On weekends you go to bed about 147 min earlier and sleep 27 min less. A large weekend catch-up (“social jet lag”) usually points to not getting enough sleep during the week.

Sleep efficiency = time asleep ÷ time in bed, averaged per month. Higher is better: it means less time lying awake. Below ~85% often means trouble falling or staying asleep.

Bedtime consistency: your bedtime varies by about 2.4 h night to night — quite variable; a steadier schedule usually improves sleep quality.

Body & Vitals

Body metrics use different units, so each line is shown relative to your first month (=100). This makes it easy to spot which measurements are drifting up or down — and which move together — regardless of their scale. A line that stays near 100 has barely changed.

How your metrics interact

This section examines how your behaviours line up with one another — how exercise relates to your sleep, and how your sleep relates to next-day recovery. These are patterns in your own data: they show what tends to occur together, not proof that one causes the other.

Each bar is how strongly a daily habit tracks with that night's sleep. Longer bar = stronger link. Blue points right = goes with MORE sleep; red points left = goes with LESS. Associations from your own data, not proof of cause.

Your average sleep grouped by that day's exercise minutes. If the bars rise from left to right, more exercise tends to go with more sleep. n = number of nights in each group.

Nights after workout days: 7.22 h sleep vs 6.89 h on rest days (+0.33 h).

Average sleep on nights after a morning, afternoon, or evening workout. Taller bar = more sleep after workouts at that time. n = nights.

You sleep longest after morning workouts (7.38 h) and shortest after evening (7.03 h).

Average sleep on nights following each workout type (types with at least 5 nights). Compare the bars to see which activities line up with your best sleep. n = nights.

HRV the next morning is a recovery signal — higher usually means better recovered. Each bar shows how strongly a habit tracks with it. Blue right = goes with better recovery; red left = worse. Association, not cause.

Your average next-morning HRV grouped by how long you slept the night before. Rising bars mean more sleep tends to go with better next-day recovery. n = nights.

Week-to-week, steps vs resting heart rate: more active weeks tend to have a LOWER resting heart rate (r = -0.603, n = 26 weeks).