Country Level Data Analysis using Parallel Coordinate Plot

Sanjana and Suchitra

Introduction

-Health indicators show the overall well-being of a country -Include life expectancy, GDP, and health expenditure -Help compare development levels across countries -Useful for identifying patterns and differences -Visualization makes analysis simple and clear

Objective

-Compare health indicators across countries -Analyze relationship between GDP and health outcomes -Identify trends, patterns, and outliers -Use visualization for better understanding -Draw meaningful conclusions from data

Dataset Description

-Contains selected countries Variables: -Life Expectancy -GDP per Capital -Health Expenditure -Life expectancy shows average lifespan -GDP indicates economic strength -Health expenditure shows spending on healthcare

Parallel Coordinates Plot

-Compares multiple indicators together -Each line represents a country -Shows patterns and clusters -Helps identify high and low performers -Useful for multivariate analysis

Insights

-Higher GDP leads to better health outcomes -Developed countries have higher life expectancy -Health spending varies widely -Some countries outperform others -Clear patterns and clusters observed

Conclusion

-Health indicators differ across countries -Economic factors strongly influence health -Visualization simplifies complex data -Helps in better decision-making -Important for global health analysis