Simiyu-Gloria/air-quality-analysis-capstone

Capstone project analyzing Air Quality Patterns in African Cities. API: OpenAQ API # Air Quality Patterns in African Cities Data Analytics and Visualization Capstone (Group 5) ## Project Context UNEP commissioned this analysis to investigate air quality patterns across selected African cities and support evidence-based intervention planning. - Client: United Nations Environment Programme (UNEP) - API: OpenAQ v3 - Cities: Nairobi, Kampala, Kigali, Addis Ababa, Johannesburg, Lagos - Study window: 2021 to present (most recent 3 to 5 years) ## Repository Structure ```text air-quality-analysis-capstone/ ├── dashboard/ │ ├── air_quality_dashboard.pbix │ └── air_quality_dashboard.pdf ├── data/ │ ├── raw/ │ ├── cleaned/ │ └── visualizaion/ ├── notebooks/ │ ├── analysis.ipynb │ └── Phase1_API_Documentation.md ├── scripts/ │ ├── phase1_step1_locations.py │ ├── phase1_step2_extract_sensors.py │ ├── phase1_step3_measurements.py │ └── pollutant_frequency.py ├── slides/ │ └── air_quality_capstone_deck.pptx └── README.md ``` ## Project Expectations Coverage 1. API retrieval and documentation - Implemented in `scripts/phase1_step1_locations.py`, `scripts/phase1_step3_measurements.py` - Documented in `notebooks/Phase1_API_Documentation.md` and Notebook Section 1 2. Data quality assessment (missingness, duplicates, outliers, completeness, consistency) - Implemented in Notebook Section 3 (`notebooks/analysis.ipynb`) 3. Data cleaning and preparation decisions - Implemented and explained in Notebook Section 4 - Output: `data/cleaned/air_quality_master.csv` 4. EDA + at least three statistical techniques - Implemented in Notebook Section 5 - Includes statistical analysis supporting all six research questions 5. At least five meaningful visualizations with justification - Implemented in Notebook Section 6 - Exported charts in `data/visualizaion/` (6 PNG charts) 6. Interactive dashboard (KPIs, interactive charts, filters, map, executive summary, drill-down where possible) - Delivered in `dashboard/air_quality_dashboard.pbix` 7. Evidence-bas …