Ekinadoese/ELITE-GLOBAL-PHASE-1-PROJECT

A comprehensive report on Life Expectancy in Africa using sample data from Kaggle.com # LIFE EXPECTANCY ANALYSIS USING SOCIOECONOMIC AND HEALTH INDICATORS This project analyzes global life expectancy data to uncover the socioeconomic and health factors influencing disparities in longevity. The analysis aims to provide actionable insights to policymakers, NGOs, and global health organizations. This comprehensive analysis can serve as the foundation for Elite Global AI's public health initiatives and predictive modeling strategies. ## TABLE OF CONTENT - PROJECT TITLE - AIMS - OBJECTIVES - PROPOSED INSIGHTS - DATA SOURCES - DATA - TOOLS USED - DATA CLEANING AND PREPARATION - ANALYSIS AND INSIGHTS - CONCLUSION - RECOMMENDATION - VISUALIZATION - PRESENTATION SLIDE ## PROJECT TITLE ## LIFE EXPECTANCY ANALYSIS USING SOCIOECONOMIC AND HEALTH INDICATORS ## AIMS To explore and analyze global life expectancy data, uncovering the socioeconomic, health, and environmental factors that contribute to disparities in longevity. The project seeks to provide actionable recommendations that support policy decisions and strategic interventions to improve global health outcomes. ## OBJECTIVES - Data Cleaning: Handle missing values, standardize data, and address outliers for accurate analysis. - Exploratory Data Analysis (EDA): Explore trends, distributions, and correlations in life expectancy and associated variables. - Statistical Analysis: Quantify relationships and identify key predictors influencing life expectancy. - Visualization: Use clear and impactful visuals to communicate findings effectively. - Actionable Insights: Provide evidence-based recommendations to stakeholders for improving health and longevity. - Presentation: Summarize findings in a professional report and presentation format for both technical and non-technical audiences. ## PROPOSED INSIGHTS This project aims to uncover: - **Key Predictors of Life Expectancy:** How factors like GDP, schooling, immunization, and mortality rates impact global life expectancy trends. - **Regional Disparities: …