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gapminder

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Gapminder-style Data Visualization Project using 72 countries data from 1998-2018. Includes data cleaning, EDA, and advanced multi-technique visualizations of life expectancy, HDI, GDP, CO2 emissions, and services to analyze global development trends across continents.

  • Updated Sep 7, 2026
  • Python

My objective is to identify the impact of GDP growth on four metrics of human well-being: Income, Human Development Index (HDI) and Life Expectancy. In this investigation, I used four data sets from the Gapminder to identify trends of the change in GDP over time as well as other indicators according to different countries and regions of the world.

  • Updated Apr 3, 2019
  • Jupyter Notebook

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