Project Goal

Project Goal: Investigate how demographics (origin, age) correlate with waste management efficiency across Lausanne's districts using interactive visualizations.

Research & Data Strategy

• Key Question: "Does being Swiss make you more likely to recycle?"
• Data Layers:
  • Demographics: Swiss/non-Swiss populations, age groups.
  • Waste Metrics: Recycling efficiency, waste volume by material (glass, paper, organic).
• Hypothesis: Recycling efficiency spikes during academic year influx of international residents.

Process & Tools

Data Wrangling:

• Cleaned/standardized district labels in Google Sheets.
• Combined datasets to link demographics with waste metrics per district.

Exploratory Analysis:

• Flourish: Tested bubble charts and gauges to compare district efficiency.
• RAWGraphs: Uncovered material-specific recycling trends (e.g., paper vs. glass).

Interactive Visualization:

• Built a D3.js web app featuring:
• Packed circles with Voronoi diagrams for spatial-demographic correlations.
• Dynamic filters (toggle demographics, hover tooltips).
• Animated transitions to highlight outliers (e.g., rural vs. urban districts).

Key Findings

Outliers:

• District 90 (61% Swiss, rural): Highest efficiency, lowest waste.
• District 1 (54% Swiss, central): Worst efficiency, highest waste (business density).

Surprise: Districts with ~55% Swiss residents performed best—origin alone didn't dictate behavior.