Mwelase-bit/NDTA631-Project

NDTA631 Group Assignment - South Africa: Health Expenditure vs Life Expectancy # NDTA631 Group Assignment — South Africa: Health Expenditure vs. Life Expectancy **Module:** NDTA 631 — Data Analysis and Visualization **Programme:** Diploma in ICT **Examiner:** Melvin Kisten **Due date:** 24 August 2026 (no extensions) ## Project Story **Does South Africa's government health expenditure track improvements in life expectancy between 2017 and 2023?** We combine two World Bank Data360 datasets to explore whether South Africa's spending on health, at the general government level, moves together with (or diverges from) national life expectancy outcomes over the same period — with particular attention to the 2020–2021 disruption. ## Datasets | Dataset | Source | Indicator used | Coverage | |---|---|---|---| | Government Finance Statistics (GFS): Government Expenditures by Function (COFOG) | IMF, via World Bank Data360 | `IMF_GFS_GF07_T` — Expenditure by function: Health (General government sector, S13, current Rand) | 2017–2025, 124 economies | | Human Capital Project (HCP) | World Bank | `WB_HCP_SP_DYN_LE00_IN` — Life expectancy at birth, total (years) | 2022–2025 headline index, underlying series back further, 197 economies | ### Citation requirements - **GFS COFOG**: International Monetary Fund. GFS Government Expenditures by Function Sheet, data.imf.org. Accessed [date]. Redistributed with permission of the copyright holder. - **HCP**: The World Bank: Human Capital Project. World Bank ([Year]). License: CC BY 4.0. See worldbank.org for full terms. Raw dataset files are **not** committed to this repository (see Data note below) — download instructions are provided so anyone can reproduce our filtered extracts. ## Project Structure ``` NDTA631-Project/ ├── README.md ├── requirements.txt ├── .gitignore ├── Data/ │ ├── Raw/ # full original downloads (gitignored, not committed — see Data note) │ └── Processed/ # our South Africa-fil …