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Juniper Fitness and Clinic Administration: Remittance adjustment lines

Remittance adjustment lines for Juniper Fitness and Clinic Administration. 35 rows, one per adjustment rather than one per service line, because a paid service line carries two adjustments and a denied one carries a single CO 97. Grouping by adjustment group gives 304.00 USD of CO write-offs and 175.20 USD of PR patient responsibility. Summing the charged column instead double counts, because charged repeats on both adjustment rows of a paid line.

csv

text/csv

1.9 KB
Document Set
healthcare
Industry
fitness-clinic-administration
Source Kit
appointment-capacity
Entity
Juniper Fitness and Clinic Administration
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
healthcare
Industry
fitness-clinic-administration
Source Kit
appointment-capacity
Entity
Juniper Fitness and Clinic Administration
Synthetic
true
As Of
2026-09-08
Rows
35
Service Lines
18
Contractual Total
304.00
Patient Responsibility Total
175.20
Double Count Trap
true

Testing contract

Expected to pass
Scenario
Group by adjustment_group and total adjustment_usd, then try to total charged_usd and see what happens.
Expected result
The CO group totals 304.00 and the PR group 175.20, which together are 479.20 and leave 700.80 paid out of 1180.00 charged. Summing charged_usd across all 35 rows gives 2275.00, not 1180.00, because the paid lines appear twice.

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

“Juniper Fitness and Clinic Administration: Remittance adjustment lines” 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: 35 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("eob-lines.csv")
print(df.head())
print(df.dtypes)

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