Hierarchical agglomerative clustering (HAC) based on socioeconomic indicators of countries.
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Aug 23, 2025 - Python
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socioeconomic-data
Here are 5 public repositories matching this topic...
Exploratory data analysis and visualization of the Gapminder dataset, focusing on life expectancy, GDP per capita, and population trends across countries and continents from 1952 to 2007 using Python and Seaborn.
python exploratory-data-analysis pandas data-visualization seaborn data-analysis gdp population matplotlib gapminder life-expectancy socioeconomic-data
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Sep 25, 2025 - Jupyter Notebook
Analyzing crime trends in Mexico using population and poverty data. Includes Plotly maps, EDA, and correlation with social factors.
visualization data-science geospatial plotly crime-analysis data-science-projects mexico-datos socioeconomic-data
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Jun 29, 2025 - Jupyter Notebook
Interactive map exploring affordability across counties based on income and cost of living.
data-visualization data-analysis public-policy geospatial-analysis affordability cost-of-living livability socioeconomic-data county-level-analysis
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Aug 6, 2025 - Jupyter Notebook
🌍 Explore and visualize Gapminder data to understand global socioeconomic trends in life expectancy, GDP, and population from 1952 to 2007.
python exploratory-data-analysis pandas data-visualization seaborn data-analysis gdp population matplotlib gapminder life-expectancy socioeconomic-data
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Mar 9, 2026 - Jupyter Notebook
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