Chisom0089/Unravelling-the-Challenges-of-Unemployment-in-Africa-A-Data_Driven-Approach

# Unravelling-the-Challenges-of-Unemployment-in-Africa-A-Data_Driven-Approach # Introduction Unemployment remains one of the most daunting challenges facing African nations today. It is a multifaceted problem with deep roots in socio-economic, educational, and policy-related factors. The African population has drastically increased over the years causing the number of unemployed persons especially the youths to increase. # Problem Statement The primary goal of this case study is to analyze data, identify patterns, and propose informed, data-driven recommendations that governments and stakeholders can implement to effectively address and reduce unemployment rates, particularly focusing on the African context. It leverages the use of diverse datasets to uncover valuable insights and strategies that contribute to the achievement of the Sustainable Development Goal. # Data Overview I was challenged with six diverse datasets, each offering a unique perspective on factors influencing unemployment, they include: 1. Unemployment Rate (Men vs. Women): This dataset provides a comparative view of unemployment rates between genders. 2. National Strategy for Youth Employment: This dataset outlines various national strategies adopted across different African countries to combat youth unemployment. 3. Share of Education in Government Expenditure: Education is a critical factor in employment. This dataset sheds light on how much governments are investing in education. 4. Population with Access to Electricity: Access to electricity is a fundamental driver of economic development and can influence employment opportunities. This dataset provides insights into the availability of electricity across different regions and its potential impact on employment. 5. Total Firms (Historical Data): The health of a country's private sector is directly linked to employment rates. This dataset includes historical data on the number of firms. 6. Country Codes: This dataset is essential for …