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Sagaustus/adh-migration-pack

Domain:

socioeconomic

Record type:

software
Creator:
Sag
Host:
Practice notebooks on African migration — 33 Google Colab notebooks, one per data-science/DH technique, with open UN DESA, UNHCR and World Bank datasets. # African Migration Practice Pack Practice notebooks on **African migration**, one per data-science and Digital Humanities technique. Built from open sources: UN DESA, UNHCR, the World Bank and ISO-3166. Companion to the housing-and-migration pack, same method arc, different domain. ## Using them Each notebook is self-contained — open any one without having run the others. **In Google Colab:** click the badge at the top of a notebook, then run the first cell. It will ask you to upload the CSVs; pick them from this pack's `data/` folder. The upload is remembered for the rest of the session. **Locally:** put the notebook in the same folder as the CSVs and run it. Needs `pandas`, `numpy`, `matplotlib`, `scipy`, `scikit-learn`, `statsmodels`. **Inside CourseHub:** every notebook is also the 📓 Lab Notebook tab on its lesson, next to the quiz. Nothing to install and no upload step. ## Data Bilateral migration between African countries of origin and every destination in the world, 1990-2020, with a country-year context panel and forced-displacement counts. All figures are national aggregates; nothing here is individual-level. See `data/PROVENANCE.md` for sources, retrieval date and every transformation. | File | What it is | |---|---| | `migration_corridors.csv` | UN DESA bilateral migrant stock, African origins x world destinations (17,368 rows) | | `country_indicators.csv` | World Bank panel: net migration, population, urbanisation, GDP per capita, unemployment (1,836 rows) | | `displacement.csv` | UNHCR refugees, asylum seekers and IDPs by origin and country of asylum (1,157 rows) | | `country_meta.csv` | ISO-3166 codes with UN M49 and region labels, the join key throughout (249 rows) | ## The notebooks | # | Notebook | Technique | |---|---|---| | | **Module 00 — Introduction to African Migration Data** | | | `00` | A First Look at African Migration Data | Loading and inspecting a bilateral migration table with pandas | | | **Module 01 — Framing the Right Que …