Crowdsourced Flood Monitoring & Weather Correlation Analytics for Lagos, Nigeria (Power BI).
# π BuildSzn FloodWatch Analytics Report
A comprehensive Data Analytics project examining crowdsourced citizen flood reports, NASA weather severity metrics, and Lagos elevation datasets using Power BI to drive Product Design (PD) decisions.
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## π Executive Summary
* **Total Citizen Reports:** 78
* **High-Risk Hotspots Identified:** 12
* **Total Survey Respondents:** 37
* **User Retention / Willingness to Report:** 95%
* **Device Split:** 51.4% iOS vs. 48.6% Android
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## π οΈ Tool Stack & Methods
* **Power BI Desktop:** Multi-page interactive dashboard development.
* **DAX:** Dynamic measures, distinct counting, and hotspot threshold filtering.
* **Data Cleansing:** Categorical normalization and text-field standardization.
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## π Dashboard Overview
### Cover Page
Interactive landing portal featuring high-level core KPIs, custom app branding, and seamless multi-page navigation.
### Page 1: Flood Risk & Hotspots
Identifies physical hazard points, high-risk corridors (Lekki Phase 1, Surulere, Ajah), and regional residency breakdown.
### Page 2: Weather & Report Correlation
Examines the direct correlation between precipitation spikes and citizen reporting surges using NASA weather telemetry.
### Page 3: App Usability & Feedback
Translates connectivity bottlenecks during rain, verification methods, and requested features into product insights.
### Page 4: Executive Summary & Strategic Takeaways
Synthesizes key hazard findings, usability signals, and concrete Product Design (PD) engineering directives.
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## π Repository Structure & Datasets
```text
BuildSzn-FloodWatch-Analytics-Report/
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βββ π dashboard/
β βββ π Group 6 DA's BuildSzn Report (FloodWatch).pbix # Interactive Power BI Dashboard
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βββ π data/
β βββ π FloodWatch Community Transit & Weather Resilience Survey...csv # Survey Responses
β βββ π nasa_weather_data.csv # NASA Weather Severity Data
β
βββ π images/
β βββ π Cover Page.png β¦