data-lectures

The canonical repository for data consumed by the QuantEcon lecture series, referenced by stable URLs.

Status: renamed from QuantEcon/data (2026-07-16) and being shaped into the canonical lecture-data repo per QuantEcon/meta#336. See PLAN.md for the roadmap and AGENTS.md for working conventions. The full data-hosting convention is drafted in QuantEcon.manual#108.

The routing rule

• Data consumed by lectures → this repo, referenced by a stable URL
• Data owned by a specific book, project, or package → that project's own repo
• Never commit a new dataset into a lecture repository

Referencing data

Until the data.quantecon.org Pages deployment is live, use the interim form — it works for both plain-git and LFS-tracked files:

https://github.com/QuantEcon/data-lectures/raw/main/<path>

Once publishing lands (PLAN Phase 4), the canonical form becomes:

https://data.quantecon.org/lectures/<filename>

Avoid raw.githubusercontent.com (serves pointer text for LFS-tracked files), media.githubusercontent.com (404s for plain-git files), and any URL pinning a non-default branch.

Adding a dataset

1. Confirm the license permits redistribution.
2. Classify it: verbatim (third-party file as distributed), constructed (built by our processing — commit the builder too), or dynamic snapshot (tracks a moving source — builder plus refresh cadence).
3. Open a PR with the file, its manifest, and any builder.
4. Reference it from the lecture by the canonical URL — the lecture PR builds green immediately, no two-step merge.
5. Add the lecture to the dataset's consumers list.

See the draft convention for the full checklist and manifest schema.

Current contents

Path	What
lecture-python-intro/static/	11 static data files migrated from lecture-python-intro (Feb 2025) — legacy consumer-keyed layout, restructure pending
lecture-python-intro/dynamic/	business_cycle_data.csv, the one dynamic snapshot
lecture-python-intro/scripts/	business_cycle.py, its builder (manual refresh for now)