generated timeline structure and stats
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scripts/overview/timeline_statistics_20250831_163518.txt
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scripts/overview/timeline_statistics_20250831_163518.txt
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================================================================================
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TIMELINE DATA OVERVIEW
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================================================================================
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📊 BASIC STATISTICS
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Total segments: 43,295
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Visits: 14,890
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Timeline paths: 13,322
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Unique places: 2,766
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📅 DATE RANGE
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Earliest record: 2013-12-31 22:00:00
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Latest record: 2025-08-31 04:00:00
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Total span: 4,260 days (11.7 years)
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⏰ DURATION STATISTICS
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Total tracked time: 95,930.7 hours
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Average per day: 22.5 hours
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🎯 PROBABILITY STATISTICS
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Average confidence: 0.871
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Min confidence: 0.100
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Max confidence: 1.000
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🌍 GEOGRAPHIC STATISTICS
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Northern bound: 56.375116°
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Southern bound: 15.327795°
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Eastern bound: 73.898877°
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Western bound: -81.581212°
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Max distance span: 14483.9 km
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🏷️ TOP LOCATION TYPES
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UNKNOWN : 9,398 (63.1%)
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HOME : 2,521 (16.9%)
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ALIASED_LOCATION: 1,093 (7.3%)
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SEARCHED_ADDRESS: 875 (5.9%)
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WORK : 555 (3.7%)
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INFERRED_HOME : 237 (1.6%)
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INFERRED_WORK : 211 (1.4%)
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📍 TOP VISITED PLACES
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#1 ChIJ4wTqNJRqdkgRjhi7lioZa2Y : 1,587 visits (10.7%)
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#2 ChIJyaJWtZVqdkgRZHVIi0HKLto : 893 visits (6.0%)
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#3 ChIJfyzFaC4bdkgRSZJuOgfp2iQ : 598 visits (4.0%)
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#4 ChIJdSS3YTobdkgR5kspQSjORnU : 570 visits (3.8%)
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#5 ChIJNfV396VrdkgRV3_rnaQyxl8 : 369 visits (2.5%)
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📈 ACTIVITY BY YEAR
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2013: 2 segments
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2014: 212 segments
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2015: 627 segments
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2016: 21 segments
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2018: 2,165 segments
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2019: 5,071 segments
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2020: 2,441 segments
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2021: 5,874 segments
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2022: 7,360 segments
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2023: 7,296 segments
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2024: 7,379 segments
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2025: 4,847 segments
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📆 ACTIVITY BY DAY OF WEEK
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Monday : 6,076 segments
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Tuesday : 6,170 segments
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Wednesday : 6,177 segments
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Thursday : 6,386 segments
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Friday : 6,869 segments
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Saturday : 6,328 segments
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Sunday : 5,289 segments
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📊 RECENT MONTHLY ACTIVITY
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2024-09: 557 segments
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2024-10: 519 segments
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2024-11: 605 segments
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2024-12: 683 segments
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2025-01: 602 segments
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2025-02: 572 segments
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2025-03: 588 segments
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2025-04: 663 segments
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2025-05: 631 segments
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2025-06: 593 segments
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2025-07: 642 segments
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2025-08: 556 segments
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scripts/overview/timeline_structure_20250831_163518.txt
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scripts/overview/timeline_structure_20250831_163518.txt
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================================================================================
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TIMELINE JSON STRUCTURE ANALYSIS
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================================================================================
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File: /Users/azeem/repos/personal-tracker/data/Timeline.json
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Analysis Date: 2025-08-31 16:35:18
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ROOT LEVEL STRUCTURE:
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----------------------------------------
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semanticSegments: list with 43295 items
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rawSignals: list with 9549 items
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userLocationProfile: dict with 3 keys
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================================================================================
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DETAILED STRUCTURE:
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================================================================================
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(dict) - 3 keys:
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semanticSegments (list) - 43295 items:
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Sample item structure:
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semanticSegments[0] (dict) - 3 keys:
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startTime: str = 2013-12-31T22:00:00.000+00:00
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endTime: str = 2014-01-01T00:00:00.000+00:00
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semanticSegments[0].timelinePath (list) - 1 items:
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Sample item structure:
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semanticSegments[0].timelinePath[0] (dict) - 2 keys:
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point: str = 51.6659027°, -0.4058773°
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time: str = 2013-12-31T22:29:00.000+00:00
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... and 43294 more items
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rawSignals (list) - 9549 items:
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Sample item structure:
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rawSignals[0] (dict) - 1 keys:
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rawSignals[0].position (dict) - 6 keys:
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LatLng: str = 51.5151973°, -0.1312666°
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accuracyMeters: int = 100
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altitudeMeters: float = 86.30000305175781
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source: str = UNKNOWN
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timestamp: str = 2025-08-01T16:09:32.000+01:00
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speedMetersPerSecond: float = 0.0
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... and 9548 more items
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userLocationProfile (dict) - 3 keys:
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userLocationProfile.frequentPlaces (list) - 10 items:
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Sample item structure:
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userLocationProfile.frequentPlaces[0] (dict) - 3 keys:
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placeId: str = ChIJAAAAAAAAAAARjhi7lioZa2Y
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placeLocation: str = 51.6658192°, -0.4056977°
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label: str = HOME
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... and 9 more items
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userLocationProfile.frequentTrips (list) - 9 items:
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Sample item structure:
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userLocationProfile.frequentTrips[0] (dict) - 7 keys:
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userLocationProfile.frequentTrips[0].waypointIds (list) - 4 items:
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Sample item structure:
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... (max depth reached)
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... and 3 more items
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userLocationProfile.frequentTrips[0].modeDistribution (list) - 4 items:
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Sample item structure:
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... (max depth reached)
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... and 3 more items
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startTimeMinutes: int = 504
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endTimeMinutes: int = 551
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durationMinutes: int = 47
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confidence: float = 0.0
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commuteDirection: str = COMMUTE_DIRECTION_HOME_TO_WORK
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... and 8 more items
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userLocationProfile.persona (dict) - 1 keys:
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userLocationProfile.persona.travelModeAffinities (list) - 7 items:
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Sample item structure:
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userLocationProfile.persona.travelModeAffinities[0] (dict) - 2 keys:
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mode: str = WALKING
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affinity: float = 0.4837758243083954
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... and 6 more items
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================================================================================
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SEMANTIC SEGMENTS ANALYSIS:
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================================================================================
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Total semantic segments: 43295
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Segments with visits: 14890
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Segments with timeline paths: 13322
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SAMPLE VISIT STRUCTURE:
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----------------------------------------
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sample_visit (dict) - 5 keys:
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startTime: str = 2013-12-31T22:29:21.000+00:00
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endTime: str = 2014-01-01T17:10:30.000+00:00
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startTimeTimezoneUtcOffsetMinutes: int = 0
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endTimeTimezoneUtcOffsetMinutes: int = 0
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sample_visit.visit (dict) - 3 keys:
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hierarchyLevel: int = 0
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probability: float = 0.6399999856948853
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sample_visit.visit.topCandidate (dict) - 4 keys:
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placeId: str = ChIJyaJWtZVqdkgRZHVIi0HKLto
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semanticType: str = HOME
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probability: float = 0.9986714720726013
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sample_visit.visit.topCandidate.placeLocation (dict) - 1 keys:
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latLng: str = 51.6659399°, -0.4059464°
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SAMPLE TIMELINE PATH STRUCTURE:
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----------------------------------------
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sample_timelinePath (dict) - 3 keys:
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startTime: str = 2013-12-31T22:00:00.000+00:00
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endTime: str = 2014-01-01T00:00:00.000+00:00
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sample_timelinePath.timelinePath (list) - 1 items:
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Sample item structure:
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sample_timelinePath.timelinePath[0] (dict) - 2 keys:
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point: str = 51.6659027°, -0.4058773°
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time: str = 2013-12-31T22:29:00.000+00:00
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