csv68.8 KB
IoT Sensor Readings (CSV, 1440 rows)
A day of IoT sensor readings (temperature, humidity, pressure) at one-minute intervals from three sensors, with a realistic daily cycle plus noise — for testing time-series ingestion and downsampling. JSON twin included.
Preview — first 50 linescsv
timestamp,sensor_id,temperature_c,humidity_pct,pressure_hpa
2025-06-01T00:00:00Z,sensor-01,20.01,61.4,1014.8
2025-06-01T00:01:00Z,sensor-02,19.82,59.7,1012.2
2025-06-01T00:02:00Z,sensor-03,20.27,59.9,1014.1
2025-06-01T00:03:00Z,sensor-01,19.33,61.6,1012.9
2025-06-01T00:04:00Z,sensor-02,20.36,59.9,1012.4
2025-06-01T00:05:00Z,sensor-03,20.29,60.8,1012.7
2025-06-01T00:06:00Z,sensor-01,20.07,60.7,1011.7
2025-06-01T00:07:00Z,sensor-02,19.55,60.4,1012.0
2025-06-01T00:08:00Z,sensor-03,19.41,59.2,1012.3
2025-06-01T00:09:00Z,sensor-01,19.72,58.5,1013.1
2025-06-01T00:10:00Z,sensor-02,20.58,59.8,1011.9
2025-06-01T00:11:00Z,sensor-03,20.39,60.7,1012.5
2025-06-01T00:12:00Z,sensor-01,20.48,61.0,1012.7
2025-06-01T00:13:00Z,sensor-02,19.96,60.3,1013.4
2025-06-01T00:14:00Z,sensor-03,20.74,58.7,1012.0
2025-06-01T00:15:00Z,sensor-01,19.99,58.2,1013.2
2025-06-01T00:16:00Z,sensor-02,20.56,59.2,1015.1
2025-06-01T00:17:00Z,sensor-03,20.7,60.6,1013.6
2025-06-01T00:18:00Z,sensor-01,20.77,58.6,1013.9
2025-06-01T00:19:00Z,sensor-02,20.66,58.2,1013.5
2025-06-01T00:20:00Z,sensor-03,20.34,60.7,1012.3
2025-06-01T00:21:00Z,sensor-01,20.45,60.3,1011.7
2025-06-01T00:22:00Z,sensor-02,20.72,59.8,1013.7
2025-06-01T00:23:00Z,sensor-03,20.29,61.0,1013.9
2025-06-01T00:24:00Z,sensor-01,20.45,60.6,1014.9
2025-06-01T00:25:00Z,sensor-02,21.26,58.4,1014.3
2025-06-01T00:26:00Z,sensor-03,20.75,59.8,1011.5
2025-06-01T00:27:00Z,sensor-01,21.09,58.7,1013.9
2025-06-01T00:28:00Z,sensor-02,21.13,58.3,1012.5
2025-06-01T00:29:00Z,sensor-03,20.11,60.2,1015.3
2025-06-01T00:30:00Z,sensor-01,21.46,58.1,1012.1
2025-06-01T00:31:00Z,sensor-02,20.96,61.5,1013.6
2025-06-01T00:32:00Z,sensor-03,20.4,60.2,1013.0
2025-06-01T00:33:00Z,sensor-01,20.64,59.2,1013.6
2025-06-01T00:34:00Z,sensor-02,20.86,59.8,1012.7
2025-06-01T00:35:00Z,sensor-03,20.25,59.4,1014.8
2025-06-01T00:36:00Z,sensor-01,20.71,58.4,1015.0
2025-06-01T00:37:00Z,sensor-02,21.02,62.0,1013.1
2025-06-01T00:38:00Z,sensor-03,20.64,58.4,1015.0
2025-06-01T00:39:00Z,sensor-01,21.87,59.0,1012.0
2025-06-01T00:40:00Z,sensor-02,21.11,59.0,1012.6
2025-06-01T00:41:00Z,sensor-03,20.75,60.0,1014.6
2025-06-01T00:42:00Z,sensor-01,20.92,60.8,1012.4
2025-06-01T00:43:00Z,sensor-02,21.06,57.7,1010.8
2025-06-01T00:44:00Z,sensor-03,21.27,59.2,1013.9
2025-06-01T00:45:00Z,sensor-01,21.19,61.1,1014.2
2025-06-01T00:46:00Z,sensor-02,21.4,59.7,1012.0
2025-06-01T00:47:00Z,sensor-03,20.73,59.3,1011.3
2025-06-01T00:48:00Z,sensor-01,20.82,59.7,1013.4… 1340 lines total — download for the full file.
Specifications
- Rows
- 1440
- Schema
- timestamp, sensor_id, temperature_c, humidity_pct, pressure_hpa
- Interval
- 1 minute
- Sensors
- 3
- Domain
- IoT
What is a .csv file?
CSV (Comma-Separated Values) is a plain-text tabular format where rows are lines and fields are separated by commas, with quoting rules for values that contain delimiters, quotes, or newlines. It has no formal type system and depends on encoding and dialect conventions. It is the most portable format for tabular data exchange.
How to use this file
Use an example CSV to test parsers against quoting and embedded-delimiter edge cases, header handling, encoding detection, and import pipelines into databases or spreadsheets.
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Generated by generation/data_realworld.py. Free for any use, no attribution required — license.