# UN Women Big Data: Gender and SDGs – Morocco (P143)
This consolidated repository brings together four workstreams developed to support UN Women Morocco with big-data-informed insights for gender equality and the Sustainable Development Goals (SDGs). It integrates digital gender divide analytics, road access and isolation modelling, health access preparation via AccessMod, and an applied use case with ready-to-use maps and indicators.
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## Repository Structure
- **Use_case_2_childcare_analysis/**
- Jupyter notebooks for childcare analysis workflows:
- `1. AccessMod - Data Collection.ipynb`
- `2. AccessMod - Data Processing.ipynb`
- `3. Data Analysis - Indicators.ipynb`
- Analytical workflow and data processing scripts used to assess childcare demand, supply, and spatial accessibility in Casablanca, Morocco.
- **DIGITAL_GENDER/**
- Digital gender divide analysis combining Meta (Facebook) audience data, official population statistics, and SDG indicators to compute Female-to-Male digital usage indices at regional level.
- Main assets: `APP1.ipynb`, harmonized datasets, maps, and documentation.
- See detailed docs: `DIGITAL_GENDER/README.md`.
- **MOROCCO_ROAD_ACCES/**
- Road access and isolation analysis using OpenStreetMap, WorldPop, and OpenRouteService (ORS) to estimate the share of population with limited access to all-weather roads and essential services.
- Includes a ready-to-run notebook and ORS configuration.
- See detailed docs: `MOROCCO_ROAD_ACCES/Readme.md`.
- **USE_CASE/**
- End-to-end, applied workflow that consolidates accessibility results, indicators, and cartographic outputs.
- Contents:
- `QGIS_maps/` with ready-to-use map projects and exported images.
- `accessibility/` with AccessMod exports (tables, gpkg, zip projects).
- `indicator/` with compiled indicators in CSV/XLSX/GPKG formats and typology.
- `data_raw/` (e.g., HOT Export road data with metadata in `road/README.txt`).
- `python scripts/` with the three AccessMod notebooks for reprod …