Explored global population data across hundreds of countries and territories using Python to understand distribution, density, and geographic patterns.
Loaded and cleaned the dataset with Pandas, checking for missing values, duplicates, and data types.
Visualized the distribution of 2023 population across countries with a histogram and KDE curve.
Compared average population by continent.
Identified the Top 10 most populous countries, led by India and China at over 1.4 billion each.
Examined the relationship between population and population density across countries.
Analyzed area vs. population on a log-log scale, revealing a strong positive correlation between a country's land area and its population size.