madhushanid-perera/Kenya-health-dashboard

Interactive R Shiny dashboard visualizing Kenya's health and demographic trends using World Bank Development Indicators data. # Kenya Health & Demographic Dashboard An interactive R Shiny dashboard exploring Kenya's health and demographic trends using **World Bank Development Indicators (DS2)** data. The dashboard covers population dynamics, mortality and life expectancy, disease burden, healthcare capacity, and nutrition/WASH access — with a built-in data explorer for browsing any indicator directly. 🔗 **Live demo:** madhushani-perera.shinyapps… --- ## Features - **Demographics** — population totals, growth rate, urban/rural split, age structure, fertility and birth/death rates - **Mortality & Life Expectancy** — total/male/female life expectancy, infant, under-5, neonatal, and maternal mortality - **Disease** — TB, HIV, and malaria incidence trends - **Healthcare** — immunisation coverage (measles, DPT), hospital beds, physicians, nurses/midwives, and health expenditure - **Nutrition & WASH** — child stunting/wasting, undernourishment, and access to clean water and sanitation - **Data Explorer** — search, filter by year range, view summary statistics, and download any indicator as CSV Each section includes interactive Plotly charts and summary statistic tables (min, max, mean, median, % change) powered by DT. --- ## Built With - R Shiny & shinydashboard - plotly — interactive charts - DT — interactive data tables - dplyr / tidyr — data wrangling - shinyWidgets — enhanced UI inputs --- ## Data Source Data is sourced from the World Bank's World Development Indicators (WDI), filtered to Kenya (`KEN`), covering indicators from 1960–2024. --- ## Run Locally Clone the repo and make sure `Kenya_wdi.csv` is in the same folder as `app.R`, then run: ```r install.packages(c("shiny", "shinydashboard", "plotly", "DT", "dplyr", "tidyr", "shinyWidgets")) shiny::runApp() ``` --- ## Repository Structure ``` kenya-health-dashboard/ ├── Kenya_wdi.csv # World Bank WDI data, filtered to Kenya ├── LICENSE ├── README.md └── app.R # Shiny ap …