School Sensor Data Impact Analysis

This dataset provides granular, timestamped sensor readings from smart building deployments in schools, along with contextual information about sensor types, locations, and operational status. It enables benchmarking of learning environment quality and operational efficiency, supporting data-driven decisions for EdTech developers and facilities managers regarding sensor investments and maintenance strategies.

  • last updated 24 Oct 2025
  • by GoMask
The brief that made it

Benchmarking sensor deployment outcomes across schools

Sample rows

preview · 8 of 58 rows · all 22 columns
school_idstringsensor_typestringsensor_valuefloatmaintenance_requiredbooleansensor_locationstringschool_namestringschool_typestringaddress_streetstringaddress_citystringaddress_statestringaddress_postal_codestringaddress_countrystringsensor_idstringsensor_install_datedatesensor_statusstringreading_timestampdatetimesensor_unitstringlearning_env_quality_scorefloatoperational_efficiency_scorefloatlast_maintenance_datedatesensor_manufacturerstringdeployment_costfloat
SCH-1001temperature22.7falseclassroomRiverside Elementaryelementary450 Maple AveGreenvilleNC27834USASNSR-50012023-06-21active2024-05-29T09:18:00°C84.581.22024-03-22EnviroSense340
SCH-1002co2670.5falsecafeteriaLiberty Middle Schoolmiddle220 Liberty BlvdStamfordCT06902USASNSR-50022022-10-03active2024-05-29T12:05:00ppm78.987.12024-01-15AirLogic465
SCH-1003humidity51.8falselibraryNorthside Highhigh1620 North StMadisonWI53704USASNSR-50032023-09-16active2024-05-29T15:42:00%90.392.72024-04-08ClimaTech370
SCH-1004occupancy19falsehallwayGreenview AcademyK-12250 Greenview RdAuroraIL60506USASNSR-50042024-01-11active2024-05-29T10:32:00persons76.173.42024-01-11SpaceTrack415
SCH-1005noise57.9falsegymnasiumSunrise Schoolelementary98 Sunrise WayBoca RatonFL33431USASNSR-50052022-12-05active2024-05-29T13:45:00dB80.275.62023-10-29SoundVision495
SCH-1006temperature20.2falsescience labNew Horizons Highhigh3116 Lakeview DrEriePA16508USASNSR-50062023-02-17active2024-05-29T14:10:00°C83.488.22024-02-20EnviroSense355
SCH-1007co21120.2trueauditoriumWestlake Middlemiddle1200 Westlake PkwyAustinTX78746USASNSR-50072022-11-14maintenance2024-05-29T15:05:00ppm68.964.22024-05-27AirLogic475
SCH-1008humidity44.2falseclassroomHillcrest Schoolelementary87 Hillcrest RdDes MoinesIA50310USASNSR-50082023-08-29active2024-05-29T08:35:00%88.790.22024-03-01ClimaTech390

What the 58 rows show

from the 58-row sample

Co2 (sensor type) stands out: mean sensor_value is 807.8, against 42.1 for the rest.

  • 17%maintenance_required = true
  • 46.8median sensor_value
  • 2address countries
  • 4sensor statuses
  • 5school types
  • 6sensor units
Mean sensor_value by sensor_type58 rows
05001,00021.9temper…12 rows807.8co212 rows44.8humidi…12 rows51.4occupa…12 rows52.0noise10 rows
sensor_value58 rows, in bands of 200
0255046009110108001,600sensor_value →

Median 46.8, from 17.0 to 1,501.

sensor_location58 rows · top 10 of 13 values
  1. cafeteria10
  2. library8
  3. hallway8
  4. auditorium8
  5. gymnasium7
  6. science lab6
  7. classroom5
  8. classroom 1011
  9. classroom 2031
  10. classroom 1041
22 columns by typefrom the column list below
  • string 14
  • float 4
  • date 2
  • datetime 1
  • boolean 1

Columns

22 columns in four groups
blueprint · 22 columns
columntypedescriptionexample
Text 14 columns
school_idstringUnique identifier for the schooluniqueSCH-1001
school_namestringOfficial name of the schoolRiverside Elementary
school_typestringType of school (e.g., elementary, middle, high, K-12)elementary · middle · high · K-12 · otherelementary
address_streetstringStreet address of the school450 Maple Ave
address_citystringCity where the school is locatedGreenville
address_statestringState or province where the school is locatedNC
address_postal_codestringPostal code of the school's address27834
address_countrystringCountry where the school is located2 countriesUSA
sensor_idstringUnique identifier for the sensor deviceuniqueSNSR-5001
sensor_typestringType of sensor deployed (e.g., temperature, CO2, humidity, occupancy, noise)6 valuestemperature
sensor_locationstringLocation within the school where the sensor is installed (e.g., classroom, hallway, cafeteria)classroom
sensor_statusstringCurrent operational status of the sensoractive · inactive · maintenance · decommissionedactive
sensor_unitstringUnit of measurement for the sensor value (e.g., °C, ppm, %, dB)6 units°C
sensor_manufacturerstringName of the sensor manufacturer9 manufacturers · optionalEnviroSense
Numbers 4 columns
sensor_valuefloatValue recorded by the sensor (unit depends on sensor type)22.7
learning_env_quality_scorefloatComposite score (0-100) reflecting learning environment quality based on sensor data0 to 100 · optional84.5
operational_efficiency_scorefloatComposite score (0-100) reflecting operational efficiency improvements from sensor deployment0 to 100 · optional81.2
deployment_costfloatCost of deploying the sensor (in local currency)0 or more · optional340
Dates and times 3 columns
sensor_install_datedateDate the sensor was installed2023-06-21
reading_timestampdatetimeTimestamp when the sensor reading was recorded2024-05-29T09:18:00
last_maintenance_datedateDate of last maintenance for the sensoroptional2024-03-22
True or false 1 column
maintenance_requiredbooleanIndicates if maintenance is required for the sensorfalse

Use it for

  • maintenance re…17%10 of 58 rowsmean sensor value by …21.9temp…807.8co244.8humi…51.4occu…

    An education dashboard

    The maintenance_required rate, sensor_value by sensor_type and a breakdown of sensor_location. Excel, Power BI or Tableau.

  • Why do the 12 co2 rows have a mean sensor_value of 807.8?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable schools with school_name, school_type and address_street to fill a screen in front of a buyer.

Not quite right?

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This dataset58 rows22 columns
Yours1,000 rows22 columnsaddress_street: UK only

blueprint · school-sensor-data-impact-analysis

Behind this dataset

Same schema. As many rows as you need.

These 58 rows came out of a blueprint — 22 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Each row represents a unique school building with sensor integration.
  • Sensor types include air quality, occupancy, temperature, and light.
  • Impact metrics measured: energy savings, absenteeism rate, classroom comfort score, and maintenance response time.
  • Only buildings with at least 6 months post-integration data are included.
  • Data anonymized for institution privacy.
  • Sensor malfunctions flagged with specific codes.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
school-sensor-data-impact-analysis

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