ESP32-S3 Bench Guide
ESP32‑S3 N16R8 벤치 가이드: 실시간 핀아웃, 강의, 시뮬레이터 및 벤치 로그
파라미터를 조정해 10가지 확률분포를 시뮬레이션과 활용 예시와 함께 시각화합니다
パラメータを動かして、分布の形と使いどころを体感しよう。10種の確率分布を標本シミュレーションと活用例つきで可視化。 / Move the parameters and get a feel for 10 probability distributions, with sample simulations and practical use cases.
교육TypeScript · HTMLGitHub @shin4488온라인운영자 미확인
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README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
An interactive web application for exploring and visualizing standard probability distributions in real time.
Adjust parameter sliders and immediately see probability density (PDF) and mass (PMF) charts react dynamically.README 전문 보기 ↗An interactive web app for exploring probability distributions. Move a parameter slider and the probability density (PDF) or probability mass (PMF) chart updates immediately.
flowchart LR
URL["URL query"] -->|decode on load| State["App state<br>(src/state)"]
Controls["Controls<br>(sliders, toolbar, guide)"] -->|actions| State
State -->|replaceState| URL
State --> Domain["Distribution math and sampling<br>(src/domain)"]
Domain --> Charts["Charts<br>(Chart.js)"]
| Area | Tools |
|---|---|
| Frontend | React, TypeScript, Vite |
| Charts | Chart.js (canvas). Distribution math and random sampling are implemented in src/domain |
| Styling | Tailwind CSS |
| Quality | Biome, Vitest |
| Environment | Docker, Docker Compose |
The project is fully containerized, so Node.js does not need to be installed on your host machine.
# Start dev server (http://localhost:5173)
docker compose up
Run quality checks and test suites through the container:
# Unit tests
docker compose run --rm app npm test
# TypeScript type verification
docker compose run --rm app npm run typecheck
# Lint & formatting check
docker compose run --rm app npm run lint
# Production build
docker compose run --rm app npm run build
Production-only GA4 tracks content navigation, graph exploration, and feedback. See measurement definitions and dashboard guidance for event meanings and verification.
Pushing to the main branch runs the deploy workflow, which runs lint, type checks, tests, and the build, then deploys to GitHub Pages. The one-time Pages setting is described at the top of that workflow.