Baselight

Global Data: GDP, Life Expectancy & More

A dataset revealing global trends in GDP, education, and health.

@kaggle.arslaan5_global_data_gdp_life_expectancy_and_more

About this Dataset

Global Data: GDP, Life Expectancy & More

Global Data: GDP, Life Expectancy & More

This dataset comprises 204 entries and 38 attributes, providing a comprehensive analysis of key economic and social indicators across various countries. It includes a diverse range of metrics, allowing for in-depth exploration of global trends related to GDP, education, health, and environmental factors.

Key Features:

  • GDP: Gross Domestic Product (in current US dollars), representing the total economic output of a country.
  • Sex Ratio: The ratio of males to females in the population, highlighting demographic trends.
  • Life Expectancy: Average lifespan for males and females, an essential indicator of healthcare quality.
  • Education Enrollment Rates: Data on primary, secondary, and post-secondary education enrollment for males and females, reflecting educational attainment.
  • Unemployment Rate: Percentage of the labor force that is unemployed, indicating economic health.
  • Homicide Rate: Number of homicides per 100,000 population, providing insight into safety and crime levels.
  • Urban Population Growth: Rate of growth in urban populations, illustrating migration trends.
  • CO2 Emissions: Carbon dioxide emissions per capita, an important measure of environmental impact.
  • Forested Area: Percentage of land covered by forests, indicating biodiversity and environmental health.
  • Tourist Numbers: Total number of international visitors, which can reflect a country's tourism potential.

Applications and Uses:

  1. Research and Analysis: Ideal for researchers studying the correlation between economic performance and social indicators. This dataset can help identify trends and patterns relevant to global development.

  2. Policy Development: Policymakers can utilize this data to inform decisions on education, healthcare, and environmental policies, aiming to improve national outcomes.

  3. Machine Learning and Data Science: Data scientists can apply machine learning techniques to predict economic trends, analyze social impacts, or classify countries based on various indicators.

  4. Educational Purposes: Suitable for students and educators in fields like economics, sociology, and environmental science for practical data analysis exercises.

  5. Visualization Projects: Perfect for creating compelling visualizations that illustrate relationships between different metrics, aiding in public understanding and engagement.

By leveraging this dataset, users can uncover insights into how different factors influence a country's development, making it a valuable resource for diverse applications across various fields.

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