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
A dataset revealing global trends in GDP, education, and health.
@kaggle.arslaan5_global_data_gdp_life_expectancy_and_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:
Applications and Uses:
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.
Policy Development: Policymakers can utilize this data to inform decisions on education, healthcare, and environmental policies, aiming to improve national outcomes.
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.
Educational Purposes: Suitable for students and educators in fields like economics, sociology, and environmental science for practical data analysis exercises.
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.
CREATE TABLE country_data (
"gdp" DOUBLE,
"sex_ratio" DOUBLE,
"surface_area" DOUBLE,
"life_expectancy_male" DOUBLE,
"unemployment" DOUBLE,
"imports" DOUBLE,
"homicide_rate" DOUBLE,
"currency" VARCHAR,
"iso2" VARCHAR,
"employment_services" DOUBLE,
"employment_industry" DOUBLE,
"urban_population_growth" DOUBLE,
"secondary_school_enrollment_female" DOUBLE,
"employment_agriculture" DOUBLE,
"capital" VARCHAR,
"forested_area" DOUBLE,
"exports" DOUBLE,
"life_expectancy_female" DOUBLE,
"post_secondary_enrollment_female" DOUBLE,
"post_secondary_enrollment_male" DOUBLE,
"primary_school_enrollment_female" DOUBLE,
"infant_mortality" DOUBLE,
"gdp_growth" DOUBLE,
"threatened_species" DOUBLE,
"population" DOUBLE,
"urban_population" DOUBLE,
"secondary_school_enrollment_male" DOUBLE,
"name" VARCHAR,
"pop_growth" DOUBLE,
"region" VARCHAR,
"pop_density" DOUBLE,
"internet_users" DOUBLE,
"gdp_per_capita" DOUBLE,
"fertility" DOUBLE,
"refugees" DOUBLE,
"primary_school_enrollment_male" DOUBLE,
"co2_emissions" DOUBLE,
"tourists" DOUBLE
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