25 years of data on global supply chain and trade disruptions. The dataset likely contains indicators such as the Baltic Dry Index (BDI), container shipping rates, port congestion metrics, and records of major events like COVID-19, the Suez Canal blockage, Red Sea incidents, and tariff changes. It was sourced from Kaggle.
Use Cases
- Forecasting shipping costs based on container rate data.
- Analyzing the economic impact of port congestion events.
- Modeling trade flow disruptions caused by geopolitical events like the Suez blockage or Red Sea incidents.
- Studying the correlation between tariff changes and supply chain metrics.
- Evaluating the long-term effects of the COVID-19 pandemic on global logistics.
Strengths
- The description explicitly mentions a 25-year time range.
- It includes multiple high-impact global events (COVID-19, Suez, Red Sea) as features.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- Kaggle
- Time Range
- 25 years
- Geography
- Global