Data-Driven Stories on Health, Labour and Development in Nigeria using Public Datasets
Nigeria Data Stories
Turning public data into accessible stories about health, labour, and development in Nigeria.
This portfolio explores three data-driven questions using publicly available Nigerian and international datasets. Each project combines data analysis, visualization, and evidence-based storytelling to communicate complex findings to a general audience.
Projects
1. The Hidden Cost of Healthcare
Question: How has healthcare financing in Nigeria changed over time, and what does the data reveal about reliance on out-of-pocket spending?
Data: WHO Global Health Expenditure Database
Tools: Microsoft Excel, Datawrapper
2. Nigeria's Hypertension Burden
Question: What demographic patterns emerge in hypertension among Nigerians?
Data: Nigeria Demographic and Health Survey 2023–24
Tools: Python, Tableau
3. Beyond the Degree
Question: What does Nigeria's labour-force data reveal about employment and educational attainment?
Data: Nigeria Labour Force Survey Q3 2023
Tools: Python / Excel, Datawrapper
Skills demonstrated
Data cleaning and preparation
Exploratory data analysis
Statistical reasoning
Microsoft Excel
Python
Data visualization
Tableau
Datawrapper
Data journalism and storytelling
Data-source evaluation
Data & methodology
Each project documents its data source, analytical approach, assumptions, and limitations.