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Ahmet-Sefa-Y/Data-Analyze-ASA-Data-Quest

Domain:

socioeconomic

Record type:

project
Creator:
Ahm
Host:
ASA DataQuest 2025 Runner-up (Ethics): Analysing African socio-economic trends using World Bank data. Achieved Top 4 rankings in Statistical Insight and Data Visualization categories. # African Socio-Economic Transformation & Demographic Analysis ### 🏆 Award Winning Project - ASA DataQuest 2025 This repository contains a comprehensive data analysis project that investigates the complex relationship between population growth, education enrollment levels, and life expectancy across the African continent from 1960 to 2023. --- ## 🎖 Competition Achievements This project was recognized and awarded in the **ASA DataQuest 2025** competition with the following official rankings: * **2nd Place:** Consideration of Ethics (Ethical Excellence Award) * **4th Place:** Data Visualization * **4th Place:** Statistical Insight --- ## 📊 Project Overview The study provides a data-driven perspective on Africa's social evolution by focusing on: 1. **Demographic Trends:** Tracking total and urban population growth. 2. **Educational Progression:** Analyzing gross enrollment rates for Primary, Secondary, and Tertiary education. 3. **Correlative Insights:** Using standardized data to observe how education levels correlate with regional life expectancy improvements. --- ## 🛠 Technical Stack * **Language:** Python * **Libraries:** Pandas, NumPy, Matplotlib, Seaborn * **Environment:** Jupyter Notebook * **Dataset:** World Bank Development Indicators (WDI) --- ## 🧬 Core Methodology ### 1. Data Engineering & Cleaning * Merged diverse country metadata with temporal socio-economic indicators. * Managed missing values and inconsistencies using robust parsing and interpolation. * Reshaped datasets (Melt/Pivot operations) for efficient time-series analysis. ### 2. Statistical Analysis * **Decadal Aggregation:** Analyzed 10-year averages to identify long-term trends while filtering short-term volatility. * **Z-Score Normalization:** Standardized different scales (percentages vs. years) to allow direct comparative analysis. * **Pearson Correlation:** Calculated correlation coefficients (r) to quantify the strength of relationships between education and longevity. ### 3 …