ETL Data Pipeline

Data Pipeline Info

Extract
Source: World Bank Climate Data API
Extracted: 2025-10-09
Records: 300 (100 per year)
Transform
• Data cleaning & normalization
• Network metrics pre-computed
• Layout positions stabilized
• Statistical aggregations
Load
< 500ms load
Format: Embedded JSON
No external API calls

Time Series Navigation

2020
2020 2021 2022

Network Statistics

Nodes
0
Edges
0
Density
0.00
Avg Degree
0.0

Statistical Summary

Mean CO₂ Emissions 0
Median CO₂ Emissions 0
Std Deviation 0

Degree Distribution

Data Export

ETL PIPELINE Data Source: World Bank Climate Change API (Simulated) - CO₂ emissions, renewable energy, temperature anomalies
ETL Process: Data extracted 2025-10-09, cleaned & normalized, network metrics pre-computed (degree, betweenness, clustering), layout positions stabilized, statistical aggregations embedded
Web Learning: Observable: Introduction to Data
Techniques Applied: Pre-computation of network metrics, embedded multi-year data snapshots for instant switching, efficient JSON storage format, data transformation pipelines (cleaning, normalization, enrichment), statistical summary calculations (mean, median, std dev), histogram visualization of degree distribution, data export functionality, zero API calls for sub-500ms load time