CRDC Arrests API Demo

A demonstration web application for the CRDC School Arrest Rate API, showing Bayesian model comparisons of school-based arrest rates across U.S. districts. Built with React + Vite, deployable as a static site or Docker container.

Quick Start (Development)

# Install dependencies
npm ci

# Start dev server on localhost:5173
npm run dev

# Build for production
npm run build      # outputs to dist/
npm run preview    # serve built files locally

What It Does

Visitors select a U.S. state, search for a school district (with suggestions of districts that have the most arrests), and see 6 charts comparing observed data against Bayesian model estimates:

1. Arrests over time — raw counts by CRDC wave with per-1k rate labels
2. Rate by student group — bar chart, most recent year (observed vs. modeled)
3. District vs. national — highest-rate group compared to the U.S. average
4. Model predictions vs. observed — four quadrants (one-year/three-year × baseline/covariate)
5. Observed rate vs. model distribution — ridgeline-style comparison across models
6. Exceedance probability — P(district > national) per student group

Architecture

Tech Stack

• React 19 + Vite (static site generation, no backend required)
• Plain CSS custom properties for styling (matches Civilytics design tokens exactly)
• SVG-based charts rendered inline (no D3 or charting library dependencies)
• Calls the public read-only API directly from the browser

File Structure

crdc-demo/
├── index.html                    # Entry point
├── vite.config.mjs               # Vite build config
├── src/
│   ├── main.jsx                  # React entry
│   ├── App.jsx                   # Main router (state → search → loading → charts)
│   ├── hooks/useApi.js           # API client with retry/backoff + endpoint wrappers
│   ├── components/
│   │   ├── StateSelector.jsx     # Landing screen — state dropdown/grid
│   │   ├── DistrictSearch.jsx    # Search + "interesting" district suggestions
│   │   ├── LoadingAnimation.jsx  # Animated histogram grid during data fetch
│   │   └── ChartPanel.jsx        # Orchestrates all 6 charts + data fetching
│   ├── charts/
│   │   ├── ArrestsOverTime.jsx       # Chart 1 — line chart by wave
│   │   ├── RateByGroupBar.jsx        # Chart 2 — bar chart by group
│   │   ├── DistrictVsNational.jsx    # Chart 3 — comparison vs. national avg
│   │   ├── ModelDrawsComparison.jsx  # Chart 4 — quadrant model comparison
│   │   ├── ObservedRateDensity.jsx   # Chart 5 — ridgeline proxy from intervals
│   │   └── ExceedanceProbability.jsx # Chart 6 — P(district > nat) per group
│   ├── styles/tokens.css          # Civilytics design tokens (colors, fonts, spacing)
│   └── data/national_rates.json    # Static national rates fixture for comparisons
├── Dockerfile                    # Multi-stage build → nginx static server
├── docker-compose.yml            # Local dev / self-hosted deployment
├── _config.yml                   # Git Pages (self-hosted equivalent) config
└── .github/workflows/deploy.yml  # CI/CD — builds and uploads artifacts

API Endpoints Used

Endpoint	Purpose	Frequency
/api/v1/models	List available Bayesian model specs	Once (cached)
/api/v1/districts?q=&state=	District name/geo lookup → LEAID	On keystroke
/api/v1/estimates/{leaid}?model=X&year=Y	Estimates for one district/model/year/group	~40 calls per district
/data/national_rates.json	Static national rates fixture (committed)	Once per session

Deployment

Option A: Git Pages via Gitea Actions (recommended)

The app is a static site deployed automatically via Gitea Actions. On every push to main, the workflow in .gitea/workflows/pages.yml builds the Vite app and copies dist/ to a pages branch served by the git-pages webhook receiver.

URL: https://pages.civilytics.org/crdc-demo/

The workflow follows the same pattern as Civilytics/sln-school-comparison:

1. Triggers on push to main (only when source files change)
2. Builds with Node 22 + Vite (npm ci && npm run build)
3. Copies dist/ contents to an orphan pages branch
4. Forces push — the git-pages webhook picks it up automatically

Note

: Ensure ${{ secrets.GITHUB_TOKEN }} is configured in repo settings on gitea.civilytics.org.

Option B: Docker (self-hosted fleet)

Build and run the nginx container on your infrastructure (efron, maxwell, etc.):

docker compose up -d    # builds + serves on localhost:8080

# Or build manually for your registry:
docker buildx build --platform linux/amd64 -t registry.civilytics.org/crdc-demo:latest .
docker push registry.civilytics.org/crdc-demo:latest

The container is ~5MB (nginx Alpine) and serves static files with immutable cache headers. A /healthz endpoint supports container orchestration health checks.

Environment Variables

Variable	Default	Description
VITE_API_BASE	https://crdc-api.civilytics.org/api/v1	Override to point at a staging API (set in Dockerfile build or docker-compose)

Visual Design

This app follows the Civilytics visual identity as defined in:

• theme/_tokens.scss — colors, typography, spacing tokens
• social_media_posts.md — chart patterns from published social media figures
• white_paper.qmd / R/paper_figures.R — white paper figure builders

Key design decisions:

• Color palette: Warm paper background (#FAF7F2), civic navy text (#0E1A2B), ember accent (#C25311)
• Data viz colors: Teal, plum, moss, brass from the supporting palette
• Fonts: Libre Franklin/Inter for display and body, JetBrains Mono for code
• Chart patterns: Pointrange comparisons (model vs. observed), ridgeline-style density bars, faceted small multiples

Citation & Attribution

The CRDC School Arrest Rate API: Knowles, J.E., & Miller, H. (2025). CRDC School Arrest Rate API v1. Civilytics Consulting. https://crdc-api.civilytics.org/api/v1/

Data source: US Department of Education, Office for Civil Rights. Civil Rights Data Collection (2021-22).

This research was supported by a grant from the American Educational Research Association which receives funds for its "AERA Grants Program" from the National Science Foundation under NSF award NSF-DRL #1749275. Opinions reflect those of the author and do not necessarily reflect those AERA or NSF.