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Vendor Evaluation Scorecard (CSV)

A weighted comparison of fictional vendors with evidence notes, decisions, and review ownership. This UTF-8 CSV twin contains the model's single canonical table for parser, import, and round-trip tests.

Preview — first 7 linescsv
Vendor,Product 30%,Security 25%,Service 20%,Commercials 15%,Sustainability 10%,Weighted score,Decision,Evidence note
Cedar Desk,5,4,4,3,4,4.15,Advance,Best workflow fit; security remediation has an accepted date.
Harbour Support,4,5,3,3,3,3.8,Advance,Strong controls and references; services plan needs detail.
Juniper CX,4,3,5,4,4,3.95,Hold,Excellent onboarding; regional data option is not yet contracted.
Northstar Queue,3,4,3,5,2,3.45,Hold,Lowest cost; product gaps create implementation work.
Pinebridge Help,3,3,4,4,5,3.65,Do not advance,Good sustainability evidence; lacks required routing controls.

Specifications

Family
vendor-evaluation-scorecard
Model Version
p6-v1
Format Twin Count
3
Fictional Data
true
Deterministic Content
true
Rows
5
Columns
9
Table Count
1
Orientation
worksheet
Formula
weighted-score

Testing contract

Expected to pass
Scenario
Parse with an RFC 4180-compatible UTF-8 reader and compare the header and records with the XLSX format twin.
Expected result
The parser returns exactly 5 data rows and 9 columns with quoted punctuation preserved.

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

“Vendor Evaluation Scorecard (CSV)” is a deterministic Novus Examples fixture for Templates, Conversion testing, Editor testing. Professional, neutral starting-point documents you can download and adapt — invoices, resumes, budgets, and more.

Documented properties for this file: 5 rows · 9 columns. 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.

This template ships filled with realistic sample content and documented fields and formulas. Download it as a starting point, or point a converter/parser at it — format twins (for example DOCX↔PDF) let you diff conversion fidelity.

Code examples

import pandas as pd

df = pd.read_csv("vendor-evaluation-scorecard.csv")
print(df.head())
print(df.dtypes)

Generated by generation/templates_p6.py. Free for any use, no attribution required — license.