A REPRODUCIBLE RESEARCH EXAMPLE
From separate disclosures to one usable table.
Question: what production and capacity figures are disclosed for the selected Chinese and Korean lead–zinc processing entries? The output below comes from the downloadable sample, with the same keys, dates and source links.
The result you can reuse
Swipe to view quantities, periods and sources →
| Project / metal | Production · t / period | Capacity / effective date | Scope / source |
|---|---|---|---|
| Huoshaoyun / Kunlun Luopu smelter Lead · CN | Unknown Period not stated | 110,000 t/year Effective date: Unknown | Single site [1] [3] [4] |
| Korea Zinc Onsan Lead · KR | 413,721 → | 430,000 t/year Effective date: Unknown | Single site [2] |
| Huoshaoyun / Kunlun Luopu smelter Zinc · CN | Unknown Period not stated | 560,000 t/year Effective date: Unknown | Single site [1] [3] [4] |
| Korea Zinc Onsan Zinc · KR | 600,006 → | 640,000 t/year Effective date: Unknown | Single site [2] |
Huoshaoyun quantities describe design scale. An unknown capacity date cannot support a year-specific capacity ranking. Production is not capacity; these selected records do not measure country totals or utilization.
Original disclosures
- Xinjiang Finance Department: smelter power supply completed · Checked: 2026-10-08
- Korea Zinc 2025 Annual Report (corrected KRX filing) · Checked: 2026-10-08
- Xinjiang EIA approval: Huoshaoyun Pb/Zn smelter · Checked: 2026-10-08
- ENFI: Huoshaoyun EPC contract · Checked: 2026-10-08
What the prepared files remove
Find and name
Start from stable project identifiers and bilingual names, instead of matching aliases across reports.
Align without flattening
Read production, capacity, period, unit and entity scope as separate fields. Keep missing dates visible.
Carry the evidence
Follow the source keys to the original disclosure when checking or presenting a figure.
Reproduce it in your own workflow
Excel: open the sample workbook and filter Projects by processing layer, CN/KR and lead/zinc. Python: place the script next to dataset.json and run the command below. No third-party library is needed.
python research-case.py dataset.json
Choose by fit, not by promises
Use the free sample to check formats and definitions. Purchasing is not open yet; the copper sample is free to download.
This example comes from the free sample. Coverage counts for each pack are on the data packs page.