Data Methodology
How we ingest, validate, aggregate, and publish quantitative time-series data.
1. Data Ingestion & Lineage
Data is collected from verified international organizations, government statistics bureaus, and official research institutes. Every indicator retains full attribution back to its primary source entity and license terms.
2. Standardization & Frequencies
Time-series data is harmonized into standardized UTC timestamped ISO records across four primary cadences: Daily, Monthly, Quarterly, and Annual. Units of measure are normalized prior to public index rendering.
3. Quality Assurance & Revisions
Observations undergo automated range checks to detect statistical anomalies. When primary sources issue retroactive revisions, datasets are updated transparently in our SQL analytical store.