json1.9 KB

Willow Community Fund — Numeric expected results

Numeric expected results for Willow Community Fund. Exact table counts, metric formulas, 3 chart points and three negative-test outcomes. Pledged support=2,850.00 USD; Received support=1,800.00 USD; Outstanding pledges=1,050.00 USD.

Data import

Preview, first 50 linesjson

{
  "schemaVersion": 1,
  "kitId": "business-nonprofit-fundraising",
  "asOf": "2026-09-08",
  "tableCounts": {
    "campaigns": 3,
    "donors": 8,
    "pledges": 12,
    "grants": 3,
    "volunteers": 8,
    "events": 4,
    "volunteer_shifts": 16,
    "impact": 4
  },
  "primaryKeyDuplicates": 0,
  "foreignKeyFailures": 0,
  "metrics": [
    {
      "id": "pledges-pledged",
      "label": "Pledged support",
      "value": 2850.0,
      "unit": "USD",
      "calculation": "Sum pledges.pledged over the included records.",
      "formula": {
        "op": "sum",
        "table": "pledges",
        "column": "pledged"
      }
    },
    {
      "id": "pledges-received",
      "label": "Received support",
      "value": 1800.0,
      "unit": "USD",
      "calculation": "Sum pledges.received over the included records.",
      "formula": {
        "op": "sum",
        "table": "pledges",
        "column": "received"
      }
    },
    {
      "id": "pledges-remaining",
      "label": "Outstanding pledges",
      "value": 1050.0,
      "unit": "USD",
      "calculation": "Sum pledges.remaining over the included records.",
      "formula": {
        "op": "sum",
        "table": "pledges",

… 89 lines total: download for the full file.

Specifications

Kit: nonprofit-fundraising
Industry: nonprofit
Schema Version: 1
Synthetic: true
As Of: 2026-09-08

Testing contract

Reference control

Scenario: Use numeric expected results in the Willow Community Fund supporter-import, campaigns, pledge-reconciliation, grants, volunteers, events, impact-reporting workflow.
Expected result: Exact table counts, metric formulas, 3 chart points and three negative-test outcomes. Pledged support=2,850.00 USD; Received support=1,800.00 USD; Outstanding pledges=1,050.00 USD.

What is a .json file?

JSON (JavaScript Object Notation) is a lightweight, text-based data-interchange format representing objects, arrays, strings, numbers, booleans, and null. It is language-independent, human-readable, and the dominant format for web APIs and configuration. It requires a single well-formed root value.

How to use this file

Use an example JSON file to test parsers and serializers, schema validation, Unicode and number-precision handling, and API request or response processing.

How to use this file for testing

“Willow Community Fund — Numeric expected results” 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: JSON · 1,972 bytes. 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 json

with open("expected-results.json") as f:
    data = json.load(f)
print(type(data), len(data))

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