South_Asia_Economic_Analysis

South Asia Social & Economic Analysis

This repository contains an analysis of social and economic indicators for South Asian countries. The project covers data cleaning, transformation, clustering, forecasting, and visualization to provide insights into the socio-economic landscape of the region.

Table of Contents

• Overview
• Data Source
• Key Analyses and Features
• Visualizations
• Installation
• Usage
• Results
• Contributing
• License

Overview

South Asia is a dynamic region with diverse economic and social indicators. This project explores key metrics across countries to reveal trends, patterns, and relationships, utilizing statistical analysis, machine learning, and data visualization techniques.

Data Source

The dataset includes various socio-economic metrics for South Asian countries. This data may be directly accessible in the repository or may require external sourcing.

Key Analyses and Features

1. Data Preparation

• Data Cleaning: Managed missing values and ensured consistency.
• Normalization & Standardization: Applied scaling to metrics for clustering and comparative analysis.

2. Exploratory Data Analysis (EDA)

• Statistical Summaries: Key statistical summaries for data overview.
• Visualization of Key Metrics: Visualized trends across indicators like GDP, unemployment, and population demographics.

3. Comparative Analysis

• Country-by-Country Comparison: Compared socio-economic metrics across South Asian countries.
• Correlation Analysis: Explored relationships between indicators, like GDP growth and unemployment rate.

4. Clustering and Grouping

• KMeans Clustering: Grouped countries based on economic indicators.
• Scatter Plot Visualization: Used interactive Plotly scatter plots to visualize clusters.

5. Governance and Stability Metrics

• Governance Metric Analysis: Analyzed governance metrics like control of corruption and political stability.
• Correlation Matrix: Created heatmaps for governance metrics.

6. Forecasting

• GDP Growth Forecasting: Used Exponential Smoothing to forecast GDP growth for select countries.

Visualizations

Summary of Visualizations Created

Bar Plot of Scaled Average Economic Indicators: Displays scaled GDP, unemployment, and inflation rates for each country.

Line Plot of Historical and Forecasted GDP Growth: Plots GDP growth over time and future forecast for selected countries.

Heatmap of Correlation between Governance Metrics: A heatmap showing the correlation matrix for governance indicators.

Comparative Line Plots: Line charts comparing various socio-economic indicators, such as GDP growth and unemployment rates, between countries.

Each visualization is created using matplotlib, seaborn, or plotly for clear insights into socio-economic patterns.