Cost of Living World Global Analytics Platform
A global analytics and comparison platform analyzing cost of living metrics, rent indices, purchasing power, and economic indicators across worldwide cities.
Overview
An international analytics platform dynamically comparing living costs, real estate benchmarks, and purchasing power indices for expatriates, travelers, and remote professionals.
Project Objective & Scope
Deliver large multi-city datasets through fast, interactive interfaces while maintaining high global search engine rankings.
Lab Environment & Hardware/Software
Implementation & Configuration Steps
1. Data Modeling & Normalization Engine
Engineered indexing algorithms to standardize rent, grocery, utility, and local purchasing power metrics.
2. Comparison & Filtering Interface
Built interactive dual-city comparison tools with real-time differential calculations.
3. International SEO Architecture
Generated dynamic schema metadata and semantic routing for worldwide city indexes.
Troubleshooting & Problems Encountered
Large client-side datasets causing initial render lag when switching cities.
Benchmarked client hydration costs against pre-rendered static outputs.
Employed Static Site Generation (SSG) with ISR, slashing page response times below 100ms.
What I Learned & Key Takeaways
- Gained deep experience in managing high-volume data visualization and international SEO indexing.