Time-series — Irregular Intervals (CSV)
Sensor readings at irregular minute gaps — tests time-series resampling and gap detection.
Time-series edge fixtures
Irregular timestamps, DST gaps, and duplicate keys for time-series importers and charting libraries.
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Time-series — Irregular Intervals (JSON)
JSON twin of irregular-interval sensor readings for charting library tests.
Time-series — DST Spring Forward Gap (CSV)
Hourly load data skipping the 03:00 hour on DST spring-forward day — tests timezone/DST gap handling.
Time-series — DST Fall Back Duplicate Hour (CSV)
Load readings with a repeated 01:00 local hour on fall-back DST — tests ambiguous timestamp handling.
Time-series — Duplicate Timestamp Keys (CSV)
Two rows share the same timestamp key — tests deduplication and last-write-wins policies.
Time-series — Duplicate Timestamp Keys (JSON)
JSON array with duplicate timestamp keys for ingestion pipeline tests.
Time-series — Gap Filled
Series with an explicit null value at a missing sample point.
Time-series — Out Of Order
Timestamps out of chronological order — tests sort-on-ingest behaviour.
Time-series — Mixed Tz
Same nominal instant expressed in Z, -05:00, and +09:00 offsets.
Time-series — Nan Gaps
CSV with NaN string and empty cells representing missing measurements.
Time-series — Millisecond
Sub-second millisecond timestamps for precision parsing tests.
Time-series — Business Hours
Hourly order counts weekdays only (09–16 UTC) across three SAMPLE days.
Time-series — Weekly Agg
Pre-aggregated weekly totals JSON for rollup/chart tests.
Time-series — Leap Day
Readings spanning Feb 29 leap day — calendar edge case.
Time-series — Epoch Boundary
Timestamps at Unix epoch and classic 32-bit Y2038 boundary.
Time-series — Sparse Events (JSONL)
Sparse event log in JSON Lines — two events hours apart for event-stream ingestion tests.
Fintech FX Rates Time-series (JSON)
Daily USD/EUR SAMPLE rates for FX chart and conversion tests.