Wash, Dry, Analyze: Turning Dishwasher Logs into Clean Data
Language: English
The presentation was given on 2025.09.09 at PyCon Israel 2025 - Conference.
Using simple, “old-school” logging, I recorded my dishwasher’s energy and water use, then leveraged Python and pandas to clean, analyze, and visualize real-world data. A beginner-friendly dive into experiment design and data analysis. Wash, Dry, Analyze: Turning Dishwasher Logs into Clean Data
Abstract: I set up a controlled experiment on my dishwasher to uncover what’s really happening with energy and water use—because designing experiments is half the fun, and Python makes the rest a breeze. In this session I’ll show how I:
Designed test cycles and integrated power and flow sensors
Used pandas to import, clean, and flag anomalies in CSV logs
Applied descriptive stats (mean, median, outliers) to evaluate energy, water, and cost
Created clear, reproducible visualizations with matplotlib
The dishwasher was just an excuse to dive into pandas, and this talk is perfect for beginners eager to start their own data adventures.