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Pine Property Services: Schedule of values

Schedule of values for Pine Property Services. 12 contract line items, one per work order, plus a total line. Each scheduled_value is the approved estimate for that item and the column sums to 3858.00, the original contract sum every payment application starts from. labour_allowance plus material_allowance equals scheduled_value on every line, and each allowance sits a fixed margin above the recorded cost: 65.00 on labour and 20.00 on materials, which is where the 85.00 per item of estimate-over-actual comes from.

csv

text/csv

1 KB
Document Set
construction
Industry
trades-property
Source Kit
trades-property
Synthetic
true
As Of
2026-09-08
Rows
13

Binary csv: no in-browser preview. Download it above to open in a compatible application.

Specifications

Document Set
construction
Industry
trades-property
Source Kit
trades-property
Synthetic
true
As Of
2026-09-08
Rows
13
Items
12
Contract Sum Usd
3858.00
Encoding
UTF-8

Testing contract

Expected to pass
Scenario
Import the schedule, total the scheduled_value column and check it against the two allowance columns.
Expected result
The 12 item rows sum to 3858.00, matching the total line and line 1 of application-for-payment-002-summary.csv. labour_allowance plus material_allowance equals scheduled_value on all 12 lines, and subtracting job-cost-report.csv gives exactly 65.00 and 20.00 of margin per item, 1020.00 in total.

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: Schedule of values” is a deterministic Novus Examples fixture for Data import. Realistic faker-generated datasets with documented schemas for testing import and ETL flows.

Documented properties for this file: 13 rows · UTF-8. 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("schedule-of-values.csv")
print(df.head())
print(df.dtypes)

Generated by generation/industry_documents.py. Free for any use, no attribution required, license.