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courage-analytics-glitch/WDI_Digital_Economy_Ghana

Domain:

digital infrastructuresocioeconomic

Record type:

dataset
Creator:
cou
Host:
Comparative analysis of Ghana's digital economy vs regional peers using World Bank WDI data. Power BI dashboard + PDF report - AnalystLab Africa Batch B capstone # Ghana's Digital Economy: A Comparative Analysis Capstone project for the AnalystLab Africa Data Analytics Internship (Batch B, May-July 2026). ## Objective Measure Ghana's digital economy against 5 regional peers using World Bank World Development Indicators (WDI) data, and identify where Ghana leads or lags on connectivity, digital finance, digital trade, and the relationship between infrastructure and adoption. ## Data Source World Bank World Development Indicators (WDI), bulk CSV download: datatopics.worldbank.org Raw files are not included in this repository due to file size. Download `WDI_CSV.zip` from the link above to reproduce. ## Indicators Used - Individuals using the Internet (% of population) - Mobile cellular subscriptions (per 100 people) - Fixed broadband subscriptions (per 100 people) - Secure Internet servers (per 1 million people) - Account ownership at a financial institution or mobile-money-service provider (% age 15+) - ICT service exports (% of service exports) - GDP per capita (current US$) - Population, total ## Countries Compared Ghana, Nigeria, Kenya, Cote d'Ivoire, Senegal, South Africa, Sub-Saharan Africa (aggregate), World (aggregate). ## Repository Contents - `WDI_Digital_Economy_Ghana.pbix` - Power BI dashboard file. Contains the full data cleaning pipeline (Power Query) and all DAX measures. - `WDI_Digital_Economy_Ghana_Report.pdf` - full report: findings, correlation and trend analysis, dashboard documentation, insights, recommendations. - `WDI_Digital_Economy_Cleaned.xlsx` - reference copy of the cleaned dataset. - Dashboard screenshots. - drive.google.com ## Data Cleaning (Power Query, inside the .pbix) All cleaning was performed in Power BI's Power Query Editor, not in an external script: - Filtered the WDI master CSV down to 10 target indicator codes. - Unpivoted year columns into a Year/Value pair (wide to lon …

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