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Novus Examples
csv210 B

Pine Property Services: Cost code budget against actual

Cost code budget against actual for Pine Property Services. Two cost codes and a TOTAL row. Labour is budgeted 3120.00 against 2340.00 actual and materials 738.00 against 498.00, so the total budget 3858.00 is the contract sum and the total actual 2838.00 is the job cost report. The percentages are variance over budget: 25.00 on labour, 32.52 on materials and 26.44 overall.

csv

text/csv

210 B
Document Set
construction
Industry
trades-property
Source Kit
trades-property
Synthetic
true
As Of
2026-09-08
Rows
3

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
3
Budget Usd
3858.00
Actual Usd
2838.00
Encoding
UTF-8

Testing contract

Expected to pass
Scenario
Roll the job cost report up by cost code and compare with this summary.
Expected result
Summing job-cost-report.csv gives exactly these figures: 3120.00 and 2340.00 on labour, 738.00 and 498.00 on materials. The TOTAL row equals the sum of the two code rows and the budget column equals the 3858.00 contract sum on schedule-of-values.csv.

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: Cost code budget against actual” 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: 3 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("cost-code-summary.csv")
print(df.head())
print(df.dtypes)

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