feat: data map (ontology), current-issue analysis guide, plain-language polish - #6
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…ge polish - catalog/datasets.yaml: 35 public datasets with role (treatment / outcome / covariate), space x time grain, access and approval, license, verified date - catalog/issues.yaml: 6 currently debated policies (10·15 LTP, 3.24 LTP, 6·27 mortgage cap, consumption coupon, high-oil support, K-pass) with official start-date sources, comparison design, datasets and pitfalls - topics: + consumer-support, public-transit (8 total) - core/discovery/ontology.py: schema, loaders, cross-reference check (CI) - site: new "지금 이슈" and "데이터 지도" pages (search/filters, portal search, glossary); home, topic and architecture pages rewritten in plain language; CSS moved to site/style.css - README, catalog/README, group guide rewritten for mentees Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01EMnmZPBD5PQJW1UQAARN7q
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What's added
catalog/datasets.yaml: 35 public datasets. Each has:catalog/issues.yaml: 6 policies debated in 2025–26:consumer-supportandpublic-transit, so every issue belongs to a topic. This keeps the topic-first rule.core/discovery/ontology.py: schema, loaders, and a cross-reference check run in CI (no dangling topic or dataset ids).site/style.css.catalog/README.mdand the group guide rewritten for mentees.Verification
pytest: 49 passed;ruff: clean; the site builds with no JS errors; all pages fit a 390px width.🤖 Generated with Claude Code
https://claude.ai/code/session_01EMnmZPBD5PQJW1UQAARN7q
Generated by Claude Code