SAMSON-E/Nigeria-Sub-Saharan-Africa-Development-Trends

Compares GDP per capita, life expectancy, and population growth for Nigeria vs. four peer African economies (1952–2007) using the Gapminder dataset, with a full analytics dashboard. # Nigeria & Sub-Saharan Africa Development Trends (1952–2007) Compares GDP per capita, life expectancy, and population growth for **Nigeria** against four peer Sub-Saharan African economies — **Ghana, Kenya, South Africa, and Senegal** — using the classic Gapminder five-year dataset. ## Dashboard ## Individual Charts **GDP per capita, 1952–2007** **Life expectancy at birth, 1952–2007** **Population growth, 1952–2007 (log scale)** ## Key findings - **Nigeria's GDP per capita roughly doubled** between 1952 and 2007 (+87%), but trailed South Africa throughout, and only pulled ahead of Ghana and Kenya in the final decade, driven largely by the 1970s oil boom and a partial recovery after 2002. - **Population growth was the standout trend**: all five countries at least tripled in population, with Kenya growing fastest (+451%) and Nigeria adding over 100 million people (33M → 135M) — the largest absolute increase of any country compared. - **Life expectancy gains were uneven.** Senegal, Ghana, and Kenya posted the strongest sustained improvements, while South Africa's life expectancy actually *declined* after 1992, reflecting the HIV/AIDS epidemic's demographic impact — a reminder that GDP growth and public health outcomes don't always move together. - **Nigeria's GDP path was the most volatile** of the five, spiking during the 1970s oil boom, falling through the 1980s–90s (debt crisis, structural adjustment, oil price swings), and only recovering strongly after 2002. ## Methodology `analyze.py` first attempts to pull the canonical Gapminder five-year dataset live from its public source. If that request fails (no internet connection, or the source is unreachable — as in a sandboxed environment), it automatically falls back to the bundled offline snapshot in `data/nigeria_ssa_development.csv`, so the script always runs end-to-end without manual setup. ## Run it yourself ```bash pip install -r requirements.txt python analyze.py ``` This regenerates all thre …