Pine Property Services: Quarterly rent and service charge demands
Quarterly rent and service charge demands for Pine Property Services. 20 demands across four quarters for the five let demises. Each total is rent plus service charge and each outstanding is total less paid. Demanded rent and service charge across the year come to 331,075.00 USD, and 98,781.25 is outstanding: one genuine arrear and 5 demands for a quarter that has not started at the 2026-09-08 snapshot.
csv
text/csv
- Document Set
- property
- Industry
- trades-property
- Source Kit
- trades-property
- Entity
- Pine Property Services
- Synthetic
- true
- As Of
- 2026-09-08
Binary csv: no in-browser preview. Download it above to open in a compatible application.
Specifications
- Document Set
- property
- Industry
- trades-property
- Source Kit
- trades-property
- Entity
- Pine Property Services
- Synthetic
- true
- As Of
- 2026-09-08
- Rows
- 20
- Quarters
- 4
- Demanded Total
- 331075.00
- Outstanding Total
- 98781.25
- True Arrears
- 16012.50
- Not Yet Due
- 5
Testing contract
Expected to pass- Scenario
- Separate the outstanding rows into arrears and not yet due, using the due date against the snapshot.
- Expected result
- Of 20 demands, one is a true arrear, U-05 for 2026-Q3 at 16012.50 USD, and 5 are simply not yet due because they fall on 2026-10-01. Calling the whole 98781.25 arrears overstates the position by 82768.75.
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.
How to use this file for testing
“Pine Property Services: Quarterly rent and service charge demands” is a deterministic Novus Examples fixture for Data import, CSV parsing. Realistic faker-generated datasets with documented schemas for testing import and ETL flows.
Documented properties for this file: 20 rows. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.
Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such, expect parsers to fail loudly rather than silently accept them.
Data fixtures document their exact quirks (delimiters, encodings, null handling, schema, and row counts) in the spec table. Point your parser or importer at the file and assert it handles the documented edge cases; clean and deliberately-messy siblings make before/after diffs straightforward.
Code examples
import pandas as pd
df = pd.read_csv("rent-schedule.csv")
print(df.head())
print(df.dtypes)Related files
- csvPine Property Services: Building works recharged to the service chargeBuilding works recharged to the service charge for Pine Property Services. The 2 work orders the trades-property model records against PROP-1, with their labour and material costs, totalling 328.00 USD. All of them are recharged to the repairs and maintenance head, which is budgeted at 32,192.36 USD and spent at 31,240.00, so these rows are a subset of that head rather than the whole of it.
- csvPine Property Services: Deposit registerDeposit register for Pine Property Services. The 5 deposits, each two quarterly instalments of the rent on its own lease, holding 122,737.50 USD in total. Every deposit is released on expiry subject to a dilapidations claim, which is what connects this register to the dilapidations schedule in the same directory.
- csvPine Property Services: Lease abstractLease abstract for Pine Property Services. The 5 let demises abstracted onto one row each: term, break, review, rent, service charge proportion and deposit. Quarterly rent is a quarter of annual rent and the deposit is two quarters on every row. Only LSE-2026-02 has a break date, so four of the five rows carry an empty break_date and an empty break_notice_by.
- csvPine Property Services: Lease events diaryLease events diary for Pine Property Services. 12 dated events in ascending order with days measured from the 2026-09-08 snapshot. 1 of them are already in the past and carry a negative number, because a rent review date that has passed is still a fact about the lease and dropping it would hide a review that was never actioned.
- csvPine Property Services: Lease registerLease register for Pine Property Services. The 5 live leases with days to expiry measured from the 2026-09-08 snapshot. The shortest has 935 days to run and the longest 2761. Service charge percentages here are the same apportionment the budget and reconciliation use, so the register can be joined to either.
- csvPine Property Services: Rent rollRent roll for Pine Property Services. The 6 demises with area, rent, passing rent and estimated rental value. Unit areas sum to 1200.00 sq m, which is the building_area_sq_m value every row carries. Passing rent is 245,475.00 USD and estimated rental value 271,475.00, the difference being the 26000.00 USD that U-06 would produce if it were let. Annual rent is area times rate on every row and quarterly rent is a quarter of passing rent.
Generated by generation/industry_documents_two.py. Free for any use, no attribution required, license.