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Analytics2025BITime SeriesData Integration

Halloween Demand × Weather

Merged hourly weather + demand counts and shipped a BI dashboard.

Problem

Without understanding weather effects, planning staffing/supply is guesswork.

Approach

  • Pulled and cleaned hourly weather data and merged with demand counts.
  • Built visuals for time-of-day patterns and weather-driven changes.
  • Published interactive dashboard for scenario exploration.

Impact

  • Planning insights tied to measurable weather conditions.
  • Clear visuals supporting better staffing and supply decisions.

Tools

PythonAPIsTableau
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