ogechikoel/Mortality-Kenya

This repository contains a Shiny app that I created to visualize neonatal, infant, child, and under-five mortality in Kenya for the years 2014 and 2022. It also includes the dataset used to develop the app. As for the shapefiles, they can be accessed from various online platforms. # 🗺️ Mortality Analysis in Kenya (2014–2022) This dashboard is an interactive data visualization tool built in **R Shiny** to compare neonatal, infant, child, and under-five mortality rates (per 1,000 live births) across Kenyan counties for the years 2014 and 2022. ## 📊 Purpose Kenya’s Vision 2030 aims to reduce: - **Neonatal mortality** to **13 per 1,000** - **Infant mortality** to **20 per 1,000** - **Under-five mortality** to **24 per 1,000** live births by the year 2030. This dashboard was developed to visualize progress towards these goals using county-level data. --- ## 🌍 Live Dashboard 🔗 **Access the Shiny Dashboard Here**: dz01yb-ogechi-koel.shinyapp… --- ## 📁 Project Structure ```bash ├── app.R # Main Shiny dashboard application ├── README.md # Project documentation ├── data.xlsx # Mortality dataset for 2014 and 2022 ├── kenya_county_shapefile/ ├── ke_county.shp # Kenya counties shapefile (plus associated .dbf, .shx, .prj files) ├── ke_county.dbf ├── ke_county.shx └── ke_county.prj ``` --- ## Developer **Ogechi Daniel Koel** *Data Scientist & Biostatistician at DataQuest Solutions*