Me1rem/Socio-economic-analysis

This project explores economic indicators (such as inflation, GDP, GNI, FDI) for multiple countries in Africa using data retrieved from the World Bank API (wbgapi). The goal is to identify unusual values (outliers) in the dataset that may represent anomalies, data quality issues, or real-world economic shocks. # Socio Economic Indicator Analysis(2018-2024)-World bank Api Project Type: Data retrieval → cleaning/EDA → interactive visualization Scope: African economies, 2018–2024 Tools: Python (wbdata, pandas, matplotlib/seaborn), Power BI ## Project Overview This project analyzes socio-economic performance across African countries using the World Bank’s open data API. I automated the data pull in Python,reshaped and cleaned the data, performed light EDA (distributions, outliers, correlations), and built an interactive Power BI dashboard to compare growth, inflation, Unemployment, and other development indicators. ## Aim and Objectives ### Aim The aim of this project is to gather, analyze and visualize key socio-economic indicators of few African countries between 2018 and 2024, using World Bank open data, in order to uncover trends, highlight disparities, and provide insights into how major global economies are evolving. ### Objectives Automate Data Retrieval Collect socio-economic data directly from the World Bank API to ensure accuracy, reproducibility, and transparency. Clean and Transform Data Normalize values (e.g., monetary indicators into billions), restructure datasets, and handle missing values to prepare analysis-ready data. Perform Exploratory Data Analysis (EDA) Investigate distributions, detect outliers, and explore correlations between indicators such as GDP growth, inflation, and poverty. Develop Comparative Insights Compare socio-economic performance across G20 countries, identifying both convergences and divergences. Build an Interactive Dashboard Design a Power BI dashboard that allows stakeholders to explore economic trends, filter by country, and answer guiding analytical questions. Support Policy and Research Discussions Provide a data-driven foundation for understanding how global economic giants are balancing growth with social development. ## Data Sources World Bank Open Data API via the Python package wbdata. Python Analysis Notebook …