{"id":29365452,"url":"https://github.com/faith99/water_pollution_dashboard","last_synced_at":"2026-02-02T09:46:04.729Z","repository":{"id":302472674,"uuid":"1012535350","full_name":"faith99/water_pollution_dashboard","owner":"faith99","description":"A data visualization project exploring water access, contamination and health 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returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-analysis","data-visualization","powerbi","public-health","publichealth"],"created_at":"2025-07-09T11:08:29.045Z","updated_at":"2026-02-02T09:46:04.711Z","avatar_url":"https://github.com/faith99.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# The Ripple Effect: Water \u0026 Public Health in Nigeria\n\nAn interactive Power BI dashboard project that explores the link between **water access, contamination**, and **disease outcomes** across Nigeria's regions.\n\n##  Project Overview\n\nUnsafe water doesn't just affect hydration, it shapes health, infrastructure, and mortality.\n\nThis dashboard was created as a personal data analytics project to investigate how **water quality** and **treatment practices** impact **public health metrics** like disease prevalence, infant mortality, and sanitation access.\n\nUsing data from water sources, regional demographics, and health reports, the dashboard uncovers **critical patterns and disparities** across Nigeria’s six geopolitical zones.\n\n---\n\n## Key Questions Explored\n\n- Which regions carry the **highest disease burden**, and why?\n- How do **water treatment practices** vary by source (well, pond, river, etc.)?\n- Are **contaminant levels** consistently high across sources?\n- How do **sanitation coverage** and **healthcare access** influence public health outcomes?\n\n---\n\n## Key Insights\n\n1. **Central Nigeria bears the heaviest disease burden**, despite only moderate healthcare access—indicating deeper infrastructure challenges.\n2. **Average contaminant levels remain high** (above 5ppm) across all water sources, especially lakes and ponds.\n3. A large percentage of water is left **untreated**, with \"None\" being the most common treatment method across rivers, lakes, and wells.\n4. Regions like **East and Central** report **low sanitation coverage** despite dense populations.\n5. **Infant mortality rates** remain consistently high across all zones, reinforcing the urgency for systemic interventions.\n\n---\n\n## Tools Used\n\n- **Power BI** – Data modeling, dashboard design, DAX calculations  \n- **Microsoft Excel** – Data cleaning and prep  \n- **Canva** – Layout and icon inspiration  \n- **Markdown** – Documentation and reporting  \n\n---\n\n## Dashboard Preview\n\n| Dashboard Page | Description |\n|----------------|-------------|\n| **Overview** | Quick stats on water access, contamination, treatment, and disease count by source |\n| **Health Impact** | Visual breakdown of sanitation coverage, disease cases, infant mortality, and access to care by region |\n| **Insights** | Key findings and actionable recommendations from the analysis |\n\n\u003cp align=\"center\"\u003e\n    \u003cimg src=\"https://github.com/user-attachments/assets/7a5e3223-1fbb-4e67-94e8-765030b727e3\" width=\"300\"/\u003e\n    \u003cimg src=\"https://github.com/user-attachments/assets/0f681bf7-58fe-4ddd-9a44-c7e1883fd592\" width=\"300\"/\u003e\n    \u003cimg src=\"https://github.com/user-attachments/assets/f1ed9527-3005-4bb5-a2cf-2b2cdc13d40b\" width=\"300\"/\u003e\n \u003c/p\u003e\n\n[Interact with Dashboard here!](https://app.powerbi.com/view?r=eyJrIjoiODc1MmM2N2ItMDVkNC00ODE3LWE4MWEtMDQwZWY0YzIzYTE2IiwidCI6IjA3YTAwYzJhLTAxZDItNDYwNC04N2YyLTJmN2MwYzQ5ODIwZiJ9)\n\n---\n\n## Report Access\n\nYou can find a full PDF version of the project report and recommendation summary in the `/Report` folder. It includes expanded context, detailed insights, and proposed public health strategies.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffaith99%2Fwater_pollution_dashboard","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffaith99%2Fwater_pollution_dashboard","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffaith99%2Fwater_pollution_dashboard/lists"}