Buckets
Buckets
This page is still under construction. Bucket composition and transitions.
Daily Bucket Totals
Stacked daily hours by bucket.
Data table
| Bucket | Count | Total Hours | Presence Rate |
|---|---|---|---|
| Gaming | 399 | 761.7 | 62.4% |
| Food Prep | 922 | 685.1 | 92.9% |
| Deep Work | 235 | 401.1 | 42.4% |
| Exercise | 404 | 354.1 | 96.5% |
| Reading | 317 | 237.7 | 67.5% |
| Travel | 130 | 226.7 | 25.1% |
| Boardgaming | 67 | 199.8 | 21.6% |
| Phone (Idle) | 565 | 196.3 | 92.9% |
| Social | 84 | 188.2 | 23.9% |
| NFL | 96 | 168.5 | 27.1% |
| Kitchen/Pantry Maintenance & Meal Planning | 133 | 146.3 | 39.6% |
| Puzzles & Brainwork | 97 | 129.1 | 30.2% |
| Entertainment/Culture | 70 | 125.5 | 15.3% |
| Trip-Related | 135 | 121.8 | 12.5% |
| Personal Care | 481 | 109.4 | 96.5% |
| Life Maintenance | 107 | 80.7 | 31.8% |
| Socialising (Erin) | 37 | 59.2 | 12.2% |
| Rest | 66 | 56.0 | 24.3% |
| Eating Out | 51 | 39.3 | 12.2% |
| Household | 77 | 32.3 | 23.1% |
| Health | 18 | 30.0 | 7.1% |
| Errands | 19 | 12.6 | 7.1% |
| Education & Learning | 37 | 7.9 | 10.6% |
Bucket Transition Matrix
Most frequent transitions and matrix heatmap.
Data table
| From | To | Count | Share |
|---|---|---|---|
| Exercise | Food Prep | 185 | 4.5% |
| Phone (Idle) | Exercise | 171 | 4.1% |
| Gaming | Food Prep | 155 | 3.7% |
| Food Prep | Gaming | 150 | 3.6% |
| Personal Care | Phone (Idle) | 139 | 3.4% |
| Exercise | Personal Care | 112 | 2.7% |
| Food Prep | Personal Care | 106 | 2.6% |
| Personal Care | Food Prep | 105 | 2.5% |
| Deep Work | Food Prep | 94 | 2.3% |
| Food Prep | Deep Work | 89 | 2.2% |
| Reading | Phone (Idle) | 85 | 2.1% |
| Phone (Idle) | Reading | 84 | 2.0% |
| Food Prep | Phone (Idle) | 77 | 1.9% |
| Gaming | Personal Care | 66 | 1.6% |
| Phone (Idle) | Gaming | 64 | 1.5% |
| Personal Care | Reading | 61 | 1.5% |
| Food Prep | Life Maintenance | 56 | 1.4% |
| Food Prep | Kitchen/Pantry Maintenance & Meal Planning | 49 | 1.2% |
| Reading | Exercise | 47 | 1.1% |
| Food Prep | Puzzles & Brainwork | 45 | 1.1% |
Daily Bucket Entropy
Daily bucket entropy computed from each day's bucket-hour shares. A value near 0 means most time sat in a single bucket; higher values mean time was spread more evenly. With 23 buckets in this dataset, the theoretical maximum is 4.52. The line shows a 7-day rolling average.
Metrics
| Series | Min | Average | Median | Max | Latest |
|---|---|---|---|---|---|
| Daily entropy | 1.082 | 2.459 | 2.508 | 3.260 | 2.095 |
| 7d average entropy | 1.929 | 2.459 | 2.475 | 2.923 | 2.351 |
Entropy data
| Date | Entropy |
|---|---|
| 2025-07-02 | 2.663 |
| 2025-07-03 | 2.283 |
| 2025-07-04 | 1.837 |
| 2025-07-05 | 2.435 |
| 2025-07-06 | 2.019 |
| 2025-07-07 | 1.926 |
| 2025-07-08 | 1.930 |
| 2025-07-09 | 2.198 |
| 2025-07-10 | 2.042 |
| 2025-07-11 | 1.691 |
| 2025-07-12 | 2.269 |
| 2025-07-13 | 1.445 |
| 2025-07-14 | 2.527 |
| 2025-07-15 | 2.051 |
| 2025-07-16 | 2.287 |
| 2025-07-17 | 2.905 |
| 2025-07-18 | 1.859 |
| 2025-07-19 | 1.626 |
| 2025-07-20 | 1.950 |
| 2025-07-21 | 1.082 |
| 2025-07-22 | 2.600 |
| 2025-07-23 | 2.764 |
| 2025-07-24 | 1.836 |
| 2025-07-25 | 2.498 |
| 2025-07-26 | 2.459 |
| 2025-07-27 | 3.031 |
| 2025-07-28 | 2.255 |
| 2025-07-29 | 2.713 |
| 2025-07-30 | 1.916 |
| 2025-07-31 | 2.945 |
| 2025-08-01 | 2.565 |
| 2025-08-02 | 2.124 |
| 2025-08-03 | 2.524 |
| 2025-08-04 | 2.432 |
| 2025-08-05 | 3.122 |
| 2025-08-06 | 2.539 |
| 2025-08-07 | 2.903 |
| 2025-08-08 | 2.444 |
| 2025-08-09 | 2.583 |
| 2025-08-10 | 2.030 |
| 2025-08-11 | 2.486 |
| 2025-08-12 | 3.101 |
| 2025-08-13 | 2.169 |
| 2025-08-14 | 2.143 |
| 2025-08-15 | 2.419 |
| 2025-08-16 | 1.590 |
| 2025-08-17 | 2.223 |
| 2025-08-18 | 2.065 |
| 2025-08-19 | 2.088 |
| 2025-08-20 | 3.021 |
| 2025-08-21 | 2.420 |
| 2025-08-22 | 2.130 |
| 2025-08-23 | 2.304 |
| 2025-08-24 | 2.719 |
| 2025-08-25 | 2.539 |
| 2025-08-26 | 2.555 |
| 2025-08-27 | 2.767 |
| 2025-08-28 | 2.910 |
| 2025-08-29 | 1.995 |
| 2025-08-30 | 2.080 |
| 2025-08-31 | 1.426 |
| 2025-09-01 | 1.556 |
| 2025-09-02 | 2.681 |
| 2025-09-03 | 2.257 |
| 2025-09-04 | 3.087 |
| 2025-09-05 | 1.988 |
| 2025-09-06 | 2.170 |
| 2025-09-07 | 2.361 |
| 2025-09-08 | 2.680 |
| 2025-09-09 | 2.980 |
| 2025-09-10 | 3.026 |
| 2025-09-11 | 2.728 |
| 2025-09-12 | 2.100 |
| 2025-09-13 | 2.639 |
| 2025-09-14 | 2.424 |
| 2025-09-15 | 2.930 |
| 2025-09-16 | 2.909 |
| 2025-09-17 | 2.819 |
| 2025-09-18 | 2.467 |
| 2025-09-19 | 2.294 |
| 2025-09-20 | 2.635 |
| 2025-09-21 | 2.335 |
| 2025-09-22 | 2.231 |
| 2025-09-23 | 2.163 |
| 2025-09-24 | 3.061 |
| 2025-09-25 | 2.665 |
| 2025-09-26 | 2.748 |
| 2025-09-27 | 1.778 |
| 2025-09-28 | 1.983 |
| 2025-09-29 | 2.625 |
| 2025-09-30 | 2.572 |
| 2025-10-01 | 2.509 |
| 2025-10-02 | 2.500 |
| 2025-10-03 | 2.339 |
| 2025-10-04 | 1.921 |
| 2025-10-05 | 1.830 |
| 2025-10-06 | 2.244 |
| 2025-10-07 | 2.586 |
| 2025-10-08 | 2.814 |
| 2025-10-09 | 2.614 |
| 2025-10-10 | 2.820 |
| 2025-10-11 | 2.265 |
| 2025-10-12 | 1.872 |
| 2025-10-13 | 2.666 |
| 2025-10-14 | 2.752 |
| 2025-10-15 | 2.559 |
| 2025-10-16 | 2.853 |
| 2025-10-17 | 2.968 |
| 2025-10-18 | 2.403 |
| 2025-10-19 | 2.837 |
| 2025-10-20 | 1.948 |
| 2025-10-21 | 2.646 |
| 2025-10-22 | 2.739 |
| 2025-10-23 | 2.720 |
| 2025-10-24 | 2.878 |
| 2025-10-25 | 2.290 |
| 2025-10-26 | 1.979 |
| 2025-10-27 | 2.199 |
| 2025-10-28 | 2.880 |
| 2025-10-29 | 2.196 |
| 2025-10-30 | 1.784 |
| 2025-10-31 | 2.571 |
| 2025-11-01 | 2.250 |
| 2025-11-02 | 2.906 |
| 2025-11-03 | 1.952 |
| 2025-11-04 | 2.672 |
| 2025-11-05 | 2.365 |
| 2025-11-06 | 1.624 |
| 2025-11-07 | 2.255 |
| 2025-11-08 | 2.243 |
| 2025-11-09 | 2.545 |
| 2025-11-10 | 2.996 |
| 2025-11-11 | 3.125 |
| 2025-11-12 | 3.076 |
| 2025-11-13 | 2.681 |
| 2025-11-14 | 1.677 |
| 2025-11-15 | 2.181 |
| 2025-11-16 | 2.452 |
| 2025-11-17 | 2.846 |
| 2025-11-18 | 2.571 |
| 2025-11-19 | 2.560 |
| 2025-11-20 | 3.091 |
| 2025-11-21 | 2.765 |
| 2025-11-22 | 2.895 |
| 2025-11-23 | 2.783 |
| 2025-11-24 | 2.849 |
| 2025-11-25 | 2.714 |
| 2025-11-26 | 3.177 |
| 2025-11-27 | 3.123 |
| 2025-11-28 | 2.870 |
| 2025-11-29 | 2.949 |
| 2025-11-30 | 2.318 |
| 2025-12-01 | 2.332 |
| 2025-12-02 | 2.508 |
| 2025-12-03 | 2.977 |
| 2025-12-04 | 2.675 |
| 2025-12-05 | 2.999 |
| 2025-12-06 | 1.774 |
| 2025-12-07 | 2.024 |
| 2025-12-08 | 2.287 |
| 2025-12-09 | 2.679 |
| 2025-12-10 | 2.135 |
| 2025-12-11 | 2.770 |
| 2025-12-12 | 2.571 |
| 2025-12-13 | 3.018 |
| 2025-12-14 | 1.891 |
| 2025-12-15 | 2.467 |
| 2025-12-16 | 2.314 |
| 2025-12-17 | 2.736 |
| 2025-12-18 | 2.616 |
| 2025-12-19 | 3.242 |
| 2025-12-20 | 2.056 |
| 2025-12-21 | 2.260 |
| 2025-12-22 | 2.674 |
| 2025-12-23 | 2.743 |
| 2025-12-24 | 2.259 |
| 2025-12-25 | 2.490 |
| 2025-12-26 | 2.429 |
| 2025-12-27 | 2.719 |
| 2025-12-28 | 2.547 |
| 2025-12-29 | 2.525 |
| 2025-12-30 | 2.029 |
| 2025-12-31 | 2.166 |
| 2026-01-01 | 2.025 |
| 2026-01-02 | 2.014 |
| 2026-01-03 | 2.565 |
| 2026-01-04 | 2.481 |
| 2026-01-05 | 2.561 |
| 2026-01-06 | 2.280 |
| 2026-01-07 | 1.864 |
| 2026-01-08 | 2.807 |
| 2026-01-09 | 2.369 |
| 2026-01-10 | 2.557 |
| 2026-01-11 | 2.207 |
| 2026-01-12 | 2.616 |
| 2026-01-13 | 3.147 |
| 2026-01-14 | 3.006 |
| 2026-01-15 | 2.618 |
| 2026-01-16 | 2.815 |
| 2026-01-17 | 2.406 |
| 2026-01-18 | 2.392 |
| 2026-01-19 | 2.717 |
| 2026-01-20 | 2.840 |
| 2026-01-21 | 2.648 |
| 2026-01-22 | 2.197 |
| 2026-01-23 | 2.550 |
| 2026-01-24 | 2.123 |
| 2026-01-25 | 1.957 |
| 2026-01-26 | 2.399 |
| 2026-01-27 | 2.550 |
| 2026-01-28 | 2.806 |
| 2026-01-29 | 2.497 |
| 2026-01-30 | 2.149 |
| 2026-01-31 | 2.314 |
| 2026-02-01 | 2.275 |
| 2026-02-02 | 2.148 |
| 2026-02-03 | 2.360 |
| 2026-02-04 | 2.796 |
| 2026-02-05 | 2.611 |
| 2026-02-06 | 2.419 |
| 2026-02-07 | 2.638 |
| 2026-02-08 | 2.750 |
| 2026-02-09 | 2.021 |
| 2026-02-10 | 2.760 |
| 2026-02-11 | 2.809 |
| 2026-02-12 | 3.260 |
| 2026-02-13 | 2.609 |
| 2026-02-14 | 2.829 |
| 2026-02-15 | 2.508 |
| 2026-02-16 | 2.262 |
| 2026-02-17 | 3.015 |
| 2026-02-18 | 2.801 |
| 2026-02-19 | 2.558 |
| 2026-02-20 | 2.587 |
| 2026-02-21 | 2.844 |
| 2026-02-22 | 2.317 |
| 2026-02-23 | 2.572 |
| 2026-02-24 | 2.608 |
| 2026-02-25 | 2.358 |
| 2026-02-26 | 2.988 |
| 2026-02-27 | 2.814 |
| 2026-02-28 | 2.192 |
| 2026-03-01 | 1.866 |
| 2026-03-02 | 2.437 |
| 2026-03-03 | 2.436 |
| 2026-03-04 | 2.977 |
| 2026-03-05 | 1.652 |
| 2026-03-06 | 3.104 |
| 2026-03-07 | 2.098 |
| 2026-03-08 | 2.078 |
| 2026-03-09 | 1.891 |
| 2026-03-10 | 2.958 |
| 2026-03-11 | 2.636 |
| 2026-03-12 | 2.705 |
| 2026-03-13 | 2.095 |