jltobias/JupyterLite-South-Sudan-Dashboard

# South Sudan Dashboard - JupyterLite Conversion This folder contains a JupyterLite-compatible conversion of the Shiny app. ## Contents - `SouthSudanDashboard_JupyterLite.ipynb` - interactive dashboard notebook - `data/SouthSudanHealthFacilities1282026.csv` - facility data - `data/SouthSudanH3res5.geojson` and `data/SouthSudanH3res6.geojson` - optional H3 layers - `data/dem_overlay.png` and `data/dem_bounds.json` - pre-rendered DEM overlay for Folium - `data/hstp_discontinued.json` - HSTP discontinued facility names extracted from the Shiny app - `requirements-jupyterlite.txt` - browser-friendly package list ## How to use in JupyterLite 1. Open JupyterLite. 2. Upload the notebook and the `data/` folder together, keeping the same relative paths. 3. Open `SouthSudanDashboard_JupyterLite.ipynb`. 4. Run all cells from top to bottom. ## Important changes from Shiny - `shiny`, `shinywidgets`, `rasterio`, and `acled` were removed from the runtime path because they are not appropriate for normal JupyterLite/Pyodide execution. - The DEM GeoTIFF was converted to a PNG overlay ahead of time. - ACLED is represented by deterministic sample data. For production, export ACLED events to CSV and load that file in the notebook. - HDX/IDMC is attempted with `pd.read_csv(url)`, but browser CORS/network rules may block it; in that case the notebook uses deterministic sample data.