cd .. /work

emilio@portfolio:~/work/calpoly/csc-101/energy-usage

$ cat energy-usage.md

repo link

Energy Usage Pattern Exploration

A pandas pipeline over 70,000+ household energy records.

A data-analysis project that takes a large household energy dataset and works it end to end with pandas: cleaning and shaping the raw records, engineering features, and visualizing how consumption shifts across time of day, season, and environmental conditions.

How it works

The pipeline loads 70,000+ records, handles missing and malformed values, then derives features and groups the data to surface consumption patterns — turning a flat dump of readings into readable trends across temporal and environmental variables.

Tech stack

  • Python, pandas, NumPy

Status

Archived — a completed coursework exploration.