Remote Farm Worker Attendance Log

This dataset records daily attendance and productivity metrics for remote farm workers across distributed agricultural sites, including check-in/out times, hours worked, tasks completed, and reasons for absence. It enables agritech startups and farm managers to monitor workforce allocation, identify absenteeism trends, and optimize labor efficiency for sustainable farm management. The dataset is ideal for operational analytics, resource planning, and sustainability reporting.

  • last updated 11 Dec 2025
  • by GoMask
The brief that made it

Workforce allocation and scheduling optimization

Sample rows

preview · 8 of 50 rows · all 19 columns
attendance_idstringsite_idstringproductivity_scorefloatabsentbooleanabsence_reasonstringworker_idstringworker_namestringsite_namestringsite_location_streetstringsite_location_citystringsite_location_statestringsite_location_postal_codestringsite_location_countrystringattendance_datedatecheck_in_timedatetimecheck_out_timedatetimehours_workedfloattasks_completedintegernotesstring
ATT-00001SITE-0187.5falseblankWKR-001Maria SanchezGreen Valley Farm123 Orchard AveFresnoCA93725USA2024-06-012024-06-01T07:12:002024-06-01T15:32:008.37Excellent performance, led irrigation tasks.
ATT-00002SITE-0272.4falseblankWKR-002Samuel LeeOakridge Organics42 Maple LaneMadisonWI53703USA2024-06-012024-06-01T08:05:002024-06-01T16:10:008.15Handled greenhouse planting.
ATT-00003SITE-0381.2falseblankWKR-003Asha PatelSunrise Fields88 Country RoadDes MoinesIA50317USA2024-06-012024-06-01T07:45:002024-06-01T15:50:008.16Completed fertilization tasks.
ATT-00004SITE-010trueSick leaveWKR-004John MillerGreen Valley Farm123 Orchard AveFresnoCA93725USA2024-06-01blankblank00Notified supervisor in advance.
ATT-00005SITE-0267.8falseblankWKR-005Chloe JohnsonOakridge Organics42 Maple LaneMadisonWI53703USA2024-06-012024-06-01T08:22:002024-06-01T14:45:006.44Left early for doctor appointment.
ATT-00006SITE-0374.7falseblankWKR-006Carlos GutierrezSunrise Fields88 Country RoadDes MoinesIA50317USA2024-06-012024-06-01T07:59:002024-06-01T15:55:0085Participated in composting.
ATT-00007SITE-0179.4falseblankWKR-007Fatima NoorGreen Valley Farm123 Orchard AveFresnoCA93725USA2024-06-012024-06-01T06:52:002024-06-01T14:21:007.56Arrived early for equipment prep.
ATT-00008SITE-0291.2falseblankWKR-008David KimOakridge Organics42 Maple LaneMadisonWI53703USA2024-06-012024-06-01T08:11:002024-06-01T16:30:008.37Exceptional crop monitoring.

What the 50 rows show

from the 50-row sample
  • 20%absent = true
  • 77.5median productivity_score
  • 3site names
  • 3site location streets
  • 3site location cities
  • 3site location states
site_id50 rows by value
091817SITE-0134%17SITE-0234%16SITE-0332%
productivity_score50 rows, in bands of 10
010201000000220153absent below 60060100productivity_score →

Every row with productivity_score under 60 has absent = true. None above it.

absence_reason10 rows with a value · 40 left blank
  1. Sick leave3
  2. Family emergency2
  3. Unscheduled leave2
  4. Personal leave2
  5. Transportation issue1
19 columns by typefrom the column list below
  • string 12
  • integer 1
  • float 2
  • date 1
  • datetime 2
  • boolean 1

Columns

19 columns in four groups
blueprint · 19 columns
columntypedescriptionexample
Text 12 columns
attendance_idstringUnique identifier for each attendance recorduniqueATT-00001
worker_idstringUnique identifier for the farm workerWKR-001
worker_namestringFull name of the farm workerMaria Sanchez
site_idstringUnique identifier for the agricultural site3 sitesSITE-01
site_namestringName of the agricultural site3 namesGreen Valley Farm
site_location_streetstringStreet address of the agricultural site3 streets · optional123 Orchard Ave
site_location_citystringCity where the agricultural site is located3 cities · optionalFresno
site_location_statestringState or region of the agricultural site3 states · optionalCA
site_location_postal_codestringPostal code of the agricultural site3 codes · optional93725
site_location_countrystringCountry of the agricultural siteoptionalUSA
absence_reasonstringReason for absence if the worker was absent5 reasons · optionalSick leave
notesstringAdditional notes or comments about the attendance or productivityoptionalCalled in at 6am.
Numbers 3 columns
hours_workedfloatTotal hours worked by the farm worker on this day0 or more · optional8.3
tasks_completedintegerNumber of assigned tasks completed by the worker0 or more · optional7
productivity_scorefloatCalculated productivity score for the worker on this day (e.g., 0-100)0 to 100 · optional87.5
Dates and times 3 columns
attendance_datedateDate of attendance record2024-06-01
check_in_timedatetimeTimestamp when the worker checked inoptional2024-06-01T07:12:00
check_out_timedatetimeTimestamp when the worker checked outoptional2024-06-01T15:32:00
True or false 1 column
absentbooleanIndicates if the worker was absent on this dayfalse

Use it for

  • absent20%10 of 50 rowsmean productivity sco…62.9SITE-0162.6SITE-0266.4SITE-03

    An agriculture dashboard

    The absent rate, productivity_score by site_id and a breakdown of absence_reason. Excel, Power BI or Tableau.

  • Why do 10 of 50 rows have absent = true?

    A class exercise

    Hand out the rows and one question. Everyone works from the same 50 rows.

  • A software demo

    Believable attendances with worker_id, worker_name and site_id to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 19 columns, your size and your rules. See 20 rows before you pay.

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1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset50 rows19 columns
Yours1,000 rows19 columnssite_id: UK only

blueprint · remote-farm-worker-attendance-log

Behind this dataset

Same schema. As many rows as you need.

These 50 rows came out of a blueprint — 19 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 one worker’s daily attendance record
  • Includes shift type (morning/evening), hours worked, and productivity score
  • Absenteeism flagged if no check-in within defined work window
  • Remote check-ins validated via GPS timestamp
  • Site location must be unique per worker per day
  • Productivity outliers auto-flagged for review
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
remote-farm-worker-attendance-log

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