Pine Property Services: Service charge expenditure against budget
Service charge expenditure against budget for Pine Property Services. 6 heads of charge plus a management fee and a total. Actual expenditure is 102,476.00 USD against a budget of 96,000.00, and the management fee on both sides is 10 percent of the heads above it rather than a fixed amount, so it moves with the expenditure it is charged on.
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
- 8
- Heads
- 6
- Budget
- 96000.00
- Actual
- 102476.00
- Management Fee Rate
- 0.10
Testing contract
Expected to pass- Scenario
- Recompute the management fee on both columns and check the total row.
- Expected result
- The budget fee is 10 percent of 96000.00, which is 9600.00, and the actual fee is the same percentage of 93160.00, which is 9316.00. The total row reads 102476.00 and the variance column sums to the same 6476.00 the reconciliation charges.
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: Service charge expenditure against budget” 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: 8 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("service-charge-expenditure.csv")
print(df.head())
print(df.dtypes)Related files
- csvPine Property Services: Arrears reportArrears report for Pine Property Services. The one genuine arrear: U-05 owes 16012.50 USD for 2026-Q3, due 2026-07-01 and 69 days overdue at the 2026-09-08 snapshot, which puts it in the 61 to 90 day bucket. The 5 fourth-quarter demands are deliberately absent because a demand for a quarter that has not started is not an arrear.
- 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: Quarterly rent and service charge demandsQuarterly 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.
Generated by generation/industry_documents_two.py. Free for any use, no attribution required, license.