Levice085/mombasa_health_tracker

This project is an interactive R Shiny dashboard designed to visualize and analyze the Minimum Dietary Diversity (MDD) Scores across health facilities in Mombasa, Kenya. It serves as a tool for health officials to identify nutritional gaps and monitor dietary diversity trends among vulnerable populations. # Mombasa Health & Nutritional Diversity (MDD) Tracker ### Geospatial Dashboard for Public Health Analysis This project is an interactive R Shiny dashboard designed to visualize and analyze the **Minimum Dietary Diversity (MDD) Scores** across health facilities in Mombasa, Kenya. It serves as a tool for health officials to identify nutritional gaps and monitor dietary diversity trends among vulnerable populations. **View the Live Interactive Dashboard** --- ## Project Overview The dashboard provides a spatial and statistical breakdown of nutritional data, allowing users to: - **Visualize Clusters:** Identify hotspots of high or low MDD scores using Leaflet map clustering. - **Analyze Trends:** Compare sub-counties (Mvita, Kisauni, Nyali, etc.) using automated boxplots and bar charts. - **Export Data:** Filter specific nutritional ranges and export the custom datasets for offline reporting. --- ## Technical Stack * **Language:** R * **Framework:** Shiny (UI/Server architecture) * **Geospatial:** `sf` (Simple Features), `leaflet` (Interactive mapping) * **Data Visualization:** `ggplot2`, `plotly` (Interactive charts) * **Data Manipulation:** `dplyr`, `tidyr` * **Deployment:** Published via `shinyapps.io` --- ## 📋 Execution Steps ### 1. Data Cleaning & Preparation - Processed raw health facility data containing Latitude, Longitude, and MDD scores. - Standardized Sub-County naming conventions (e.g., ensuring "Mvita" matches across all records). - Verified Coordinate Reference Systems (CRS) for accurate spatial buffering. ### 2. UI/UX Design - Implemented a **Sidebar Layout** with dynamic filters for Sub-Counties and MDD score ranges. - Used `shinythemes` (Flatly) for a clean, professional "Public Health" aesthetic. - Developed a **Tabbed Interface** to separate the Map View, Statistical Trends, and the Raw Data Explorer. ### 3. Reactive Programming Logic - Built a **Reactive Data Pipeline** where the map and charts update instantly as the user moves the MD …