@civiq/civic-statistics

@civiq/civic-statistics

Civic data statistics utilities — correlation, peer comparison, and confidence scoring with civic-domain defaults.

Install

npm install @civiq/civic-statistics

Quick Start

import {
  correlation,
  peerComparison,
  confidenceScore,
  meetsSampleSize,
} from '@civiq/civic-statistics';

// Spearman rank correlation (default for civic data)
const result = correlation(donations, votingScores);
// { coefficient: 0.42, method: 'spearman', sampleSize: 15, meetsMinimum: true }

// Peer comparison with percentile rank
const comparison = peerComparison(0.73, peerValues, 'Senate Finance Committee');
// { value: 0.73, peerAverage: 0.61, peerCount: 12, percentileRank: 82, ... }

// Confidence scoring for insight display
const confidence = confidenceScore({
  sampleSize: 25,
  minimumSampleSize: 10,
  dataCompleteness: 0.9,
  peerCount: 15,
});
// 0.72 — show with amber indicator

// Sample size validation
meetsSampleSize(8, 'votes'); // false (minimum 10)
meetsSampleSize(5, 'trades'); // true (minimum 3)

API Reference

correlation(x, y, options?)

Compute correlation between two numeric arrays. Defaults to Spearman rank correlation (robust to non-normal distributions typical in civic data).

Returns null if arrays differ in length, have fewer than minimumSampleSize elements, or contain zero variance.

peerComparison(value, peerValues, peerGroupLabel)

Compare a value against a peer group using percentile rank. Returns null if fewer than 3 peers.

confidenceScore(factors)

Compute a confidence score (0-1) based on sample size, data completeness, and peer count. Below 0.6 = hide, 0.6-0.8 = amber, above 0.8 = green.

meetsSampleSize(actual, type)

Check if a sample size meets the minimum threshold. Types: votes (10), quarters (4), trades (3), peers (3), filings (5), recipients (3).

mean(values), sampleStandardDeviation(values)

Re-exported from simple-statistics for convenience.

Constants

Constant	Value	Usage
MIN_VOTES_PER_SECTOR	10	Vote-finance correlation
MIN_QUARTERS_TEMPORAL	4	Temporal analysis
MIN_TRADES_STOCK	3	Stock-committee analysis
MIN_FILINGS_LOBBYING	5	Lobbying pipeline
MIN_PAC_RECIPIENTS	3	PAC-vote analysis
MIN_RELEVANT_VOTES	3	Per-recipient PAC votes
MIN_PEERS	3	Peer comparison

Data Sources

This library provides statistical utilities for analyzing data from:

• Congress.gov API (voting records, bill classifications)
• FEC.gov API (campaign contributions, PAC disbursements)
• Senate LDA API (lobbying filings)
• House Clerk (stock trade disclosures)

License

MIT - Mark Sandford