A data analysis project for NEA household electricity consumption
This project implements a simple command-line query tool using data from Singapore's National Environment Agency (NEA) to analyze household electricity consumption patterns across different regions and dwelling types.
- ⚡ Denormalized dataset generation from STAR schema using divide & conquer approach
- 🏘️ Multi-file data integration from various sources
- 📊 Command-line query interface for electricity usage analysis
- ⚙️ Multiple algorithm workings with time complexity analysis
query.py
: Interactive query interfacecomplete.py
: Main data processing and integration- Supporting algorithm and timing files
- Area data (AreaID, Area, Region)
- Dwelling types
- Electricity consumption records
- Date dimension (month, quarter, year)
Run python query.py