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📚 World Economic History 25Y
25 ans d'histoire économique mondiale, nettoyée, format analytique
125,141 rows | 14 columns | Updated yearly | €129/yearly
Why This Dataset?
World Bank API est lente et complexe. On livre 25 ans en 1 fichier Parquet optimisé
Target buyers: Chercheurs, Universités, Data scientists, Journalistes
Quick Preview
Download sample.csv (first 100 rows, free) to evaluate before purchasing.
Schema
| Column | Type | Nulls | Uniques |
|---|---|---|---|
| country | String | 1.0% | 327 |
| country_name | String | 97.9% | 62 |
| indicator | String | 75.4% | 20 |
| year | String | 0.0% | 25 |
| value | Float64 | 1.0% | 86,735 |
| country_code | String | 2.1% | 263 |
| business_birth_rate | Float64 | 99.9% | 95 |
| business_death_rate | Float64 | 99.9% | 81 |
| churn_rate | Float64 | 99.9% | 96 |
| quarter | Int64 | 99.1% | 5 |
| gdp_growth_qoq | Float64 | 99.7% | 281 |
| insolvency_rate | Float64 | 99.8% | 133 |
| unemployment_rate | Float64 | 99.7% | 100 |
| indicator_code | String | 25.6% | 18 |
Data Quality
| Metric | Value |
|---|---|
| Total rows | 125,141 |
| Completeness | 39.9% |
| Deduplication | Applied |
| Source tracking | Per-row attribution |
| Format | Apache Parquet (snappy) |
Files
| File | Description |
|---|---|
data.parquet |
Full dataset (purchase required) |
sample.csv |
First 100 rows (free preview) |
DATASHEET.json |
Full schema + statistics |
PRODUCT_INFO.json |
Pricing & metadata |
LICENSE.md |
Usage terms |
Sources
world_bank_mega_25yearsworld_bank_20years_historyworld_bank_eu27_indicatorsworld_bank_indicators_extendedoecd_gdp_growthoecd_unemploymentoecd_insolvencyoecd_business_demographyglobal_top50_economies
All data from official sources: government APIs, central banks, verified providers. No synthetic data. No simulations. 100% real.
Pricing
| Plan | Price |
|---|---|
| Monthly | €129 |
| Annual (20% off) | €1238 |
Contact
- Email: admin@tigerdata.store
- Website: tigerdata.store
- HuggingFace: Tiger Data Factory
Built by Tiger Data Factory — tigerdata.store v2.0 — 161 pipelines, 107 GB production data
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